id	sid	tid	token	lemma	pos
cana-3463	1	1	communications	communication	NOUN
cana-3463	1	2	on	on	ADP
cana-3463	1	3	applied	apply	VERB
cana-3463	1	4	nonlinear	nonlinear	ADJ
cana-3463	1	5	analysis	analysis	NOUN
cana-3463	1	6	issn	issn	NOUN
cana-3463	1	7	:	:	PUNCT
cana-3463	1	8	1074	1074	NUM
cana-3463	1	9	-	-	PUNCT
cana-3463	1	10	133x	133x	NUM
cana-3463	1	11	vol	vol	NOUN
cana-3463	1	12	32	32	NUM
cana-3463	1	13	no	no	NOUN
cana-3463	1	14	.	.	PUNCT
cana-3463	2	1	7s	7	NOUN
cana-3463	2	2	(	(	PUNCT
cana-3463	2	3	2025	2025	NUM
cana-3463	2	4	)	)	PUNCT
cana-3463	2	5	542	542	NUM
cana-3463	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	2	7	advanced	advanced	ADJ
cana-3463	2	8	deep	deep	ADJ
cana-3463	2	9	learning	learning	NOUN
cana-3463	2	10	approaches	approach	NOUN
cana-3463	2	11	for	for	ADP
cana-3463	2	12	predicting	predict	VERB
cana-3463	2	13	breast	breast	NOUN
cana-3463	2	14	cancer	cancer	NOUN
cana-3463	2	15	genes	gene	NOUN
cana-3463	2	16	using	use	VERB
cana-3463	2	17	spectrographic	spectrographic	ADJ
cana-3463	2	18	data	datum	NOUN
cana-3463	2	19	shalini	shalini	PROPN
cana-3463	2	20	m1,2	m1,2	PROPN
cana-3463	2	21	,	,	PUNCT
cana-3463	2	22	radhika	radhika	PROPN
cana-3463	2	23	s3	s3	PROPN
cana-3463	2	24	1research	1research	NUM
cana-3463	2	25	scholar	scholar	NOUN
cana-3463	2	26	,	,	PUNCT
cana-3463	2	27	sathyabama	sathyabama	PROPN
cana-3463	2	28	institute	institute	PROPN
cana-3463	2	29	of	of	ADP
cana-3463	2	30	science	science	NOUN
cana-3463	2	31	and	and	CCONJ
cana-3463	2	32	technology	technology	NOUN
cana-3463	2	33	,	,	PUNCT
cana-3463	2	34	chennai	chennai	PROPN
cana-3463	2	35	,	,	PUNCT
cana-3463	2	36	tamilnadu	tamilnadu	NOUN
cana-3463	2	37	,	,	PUNCT
cana-3463	2	38	india	india	PROPN
cana-3463	2	39	2department	2department	NUM
cana-3463	2	40	of	of	ADP
cana-3463	2	41	computer	computer	NOUN
cana-3463	2	42	science	science	NOUN
cana-3463	2	43	and	and	CCONJ
cana-3463	2	44	engineering	engineering	NOUN
cana-3463	2	45	,	,	PUNCT
cana-3463	2	46	st	st	PROPN
cana-3463	2	47	.	.	PROPN
cana-3463	2	48	joseph	joseph	PROPN
cana-3463	2	49	’s	’s	PART
cana-3463	2	50	college	college	PROPN
cana-3463	2	51	of	of	ADP
cana-3463	2	52	engineering	engineering	PROPN
cana-3463	2	53	,	,	PUNCT
cana-3463	2	54	chennai	chennai	PROPN
cana-3463	2	55	,	,	PUNCT
cana-3463	2	56	tamilnadu	tamilnadu	NOUN
cana-3463	2	57	,	,	PUNCT
cana-3463	2	58	india	india	PROPN
cana-3463	2	59	,	,	PUNCT
cana-3463	2	60	email	email	NOUN
cana-3463	2	61	:	:	PUNCT
cana-3463	2	62	shalini.mathi@gmail.com	shalini.mathi@gmail.com	X
cana-3463	2	63	3department	3department	NUM
cana-3463	2	64	of	of	ADP
cana-3463	2	65	electrical	electrical	ADJ
cana-3463	2	66	and	and	CCONJ
cana-3463	2	67	electronics	electronic	NOUN
cana-3463	2	68	engineering	engineering	NOUN
cana-3463	2	69	,	,	PUNCT
cana-3463	2	70	sathyabama	sathyabama	PROPN
cana-3463	2	71	institute	institute	PROPN
cana-3463	2	72	of	of	ADP
cana-3463	2	73	science	science	NOUN
cana-3463	2	74	and	and	CCONJ
cana-3463	2	75	technology	technology	NOUN
cana-3463	2	76	,	,	PUNCT
cana-3463	2	77	chennai	chennai	PROPN
cana-3463	2	78	,	,	PUNCT
cana-3463	2	79	tamilnadu	tamilnadu	NOUN
cana-3463	2	80	,	,	PUNCT
cana-3463	2	81	india	india	PROPN
cana-3463	2	82	.	.	PUNCT
cana-3463	3	1	email:radhikachandru79@gmail.com	email:radhikachandru79@gmail.com	PROPN
cana-3463	3	2	corresponding	corresponding	ADJ
cana-3463	3	3	author	author	NOUN
cana-3463	3	4	:	:	PUNCT
cana-3463	3	5	shalini.mathi@gmail.com	shalini.mathi@gmail.com	X
cana-3463	3	6	article	article	NOUN
cana-3463	3	7	history	history	NOUN
cana-3463	3	8	:	:	PUNCT
cana-3463	3	9	received	receive	VERB
cana-3463	3	10	:	:	PUNCT
cana-3463	3	11	26	26	NUM
cana-3463	3	12	-	-	SYM
cana-3463	3	13	10	10	NUM
cana-3463	3	14	-	-	PUNCT
cana-3463	3	15	2024	2024	NUM
cana-3463	3	16	revised:10	revised:10	NOUN
cana-3463	3	17	-	-	PUNCT
cana-3463	3	18	11	11	NUM
cana-3463	3	19	-	-	PUNCT
cana-3463	3	20	2024	2024	NUM
cana-3463	3	21	accepted:18	accepted:18	PROPN
cana-3463	3	22	-	-	PUNCT
cana-3463	3	23	12	12	NUM
cana-3463	3	24	-	-	PUNCT
cana-3463	3	25	2024	2024	NUM
cana-3463	3	26	abstract	abstract	NOUN
cana-3463	3	27	:	:	PUNCT
cana-3463	3	28	breast	breast	NOUN
cana-3463	3	29	cancer	cancer	NOUN
cana-3463	3	30	is	be	AUX
cana-3463	3	31	the	the	DET
cana-3463	3	32	most	most	ADV
cana-3463	3	33	frequently	frequently	ADV
cana-3463	3	34	diagnosed	diagnose	VERB
cana-3463	3	35	cancer	cancer	NOUN
cana-3463	3	36	among	among	ADP
cana-3463	3	37	women	woman	NOUN
cana-3463	3	38	in	in	ADP
cana-3463	3	39	urban	urban	ADJ
cana-3463	3	40	regions	region	NOUN
cana-3463	3	41	of	of	ADP
cana-3463	3	42	india	india	PROPN
cana-3463	3	43	,	,	PUNCT
cana-3463	3	44	such	such	ADJ
cana-3463	3	45	as	as	ADP
cana-3463	3	46	mumbai	mumbai	PROPN
cana-3463	3	47	,	,	PUNCT
cana-3463	3	48	delhi	delhi	PROPN
cana-3463	3	49	,	,	PUNCT
cana-3463	3	50	bengaluru	bengaluru	PROPN
cana-3463	3	51	,	,	PUNCT
cana-3463	3	52	bhopal	bhopal	PROPN
cana-3463	3	53	,	,	PUNCT
cana-3463	3	54	kolkata	kolkata	PROPN
cana-3463	3	55	,	,	PUNCT
cana-3463	3	56	chennai	chennai	NOUN
cana-3463	3	57	,	,	PUNCT
cana-3463	3	58	and	and	CCONJ
cana-3463	3	59	ahmedabad	ahmedabad	PROPN
cana-3463	3	60	,	,	PUNCT
cana-3463	3	61	accounting	account	VERB
cana-3463	3	62	for	for	ADP
cana-3463	3	63	25	25	NUM
cana-3463	3	64	%	%	NOUN
cana-3463	3	65	to	to	PART
cana-3463	3	66	32	32	NUM
cana-3463	3	67	%	%	NOUN
cana-3463	3	68	of	of	ADP
cana-3463	3	69	all	all	DET
cana-3463	3	70	female	female	ADJ
cana-3463	3	71	cancer	cancer	NOUN
cana-3463	3	72	cases	case	NOUN
cana-3463	3	73	.	.	PUNCT
cana-3463	4	1	to	to	PART
cana-3463	4	2	address	address	VERB
cana-3463	4	3	this	this	DET
cana-3463	4	4	growing	grow	VERB
cana-3463	4	5	concern	concern	NOUN
cana-3463	4	6	,	,	PUNCT
cana-3463	4	7	our	our	PRON
cana-3463	4	8	study	study	NOUN
cana-3463	4	9	leverages	leverage	VERB
cana-3463	4	10	advanced	advanced	ADJ
cana-3463	4	11	deep	deep	ADJ
cana-3463	4	12	learning	learning	NOUN
cana-3463	4	13	techniques	technique	NOUN
cana-3463	4	14	to	to	PART
cana-3463	4	15	enhance	enhance	VERB
cana-3463	4	16	the	the	DET
cana-3463	4	17	automated	automate	VERB
cana-3463	4	18	prediction	prediction	NOUN
cana-3463	4	19	of	of	ADP
cana-3463	4	20	breast	breast	NOUN
cana-3463	4	21	cancer	cancer	NOUN
cana-3463	4	22	-	-	PUNCT
cana-3463	4	23	associated	associate	VERB
cana-3463	4	24	genes	gene	NOUN
cana-3463	4	25	using	use	VERB
cana-3463	4	26	spectrograms	spectrogram	NOUN
cana-3463	4	27	.	.	PUNCT
cana-3463	5	1	gene	gene	NOUN
cana-3463	5	2	data	data	PROPN
cana-3463	5	3	,	,	PUNCT
cana-3463	5	4	collected	collect	VERB
cana-3463	5	5	from	from	ADP
cana-3463	5	6	reliable	reliable	ADJ
cana-3463	5	7	sources	source	NOUN
cana-3463	5	8	like	like	ADP
cana-3463	5	9	the	the	DET
cana-3463	5	10	national	national	ADJ
cana-3463	5	11	center	center	NOUN
cana-3463	5	12	for	for	ADP
cana-3463	5	13	biotechnology	biotechnology	NOUN
cana-3463	5	14	information	information	NOUN
cana-3463	5	15	(	(	PUNCT
cana-3463	5	16	ncbi	ncbi	NOUN
cana-3463	5	17	)	)	PUNCT
cana-3463	5	18	,	,	PUNCT
cana-3463	5	19	are	be	AUX
cana-3463	5	20	transformed	transform	VERB
cana-3463	5	21	numerically	numerically	ADV
cana-3463	5	22	using	use	VERB
cana-3463	5	23	frequency	frequency	NOUN
cana-3463	5	24	-	-	PUNCT
cana-3463	5	25	of	of	ADP
cana-3463	5	26	-	-	PUNCT
cana-3463	5	27	occurrence	occurrence	NOUN
cana-3463	5	28	mapping	mapping	NOUN
cana-3463	5	29	and	and	CCONJ
cana-3463	5	30	the	the	DET
cana-3463	5	31	voss	voss	PROPN
cana-3463	5	32	representation	representation	NOUN
cana-3463	5	33	method	method	NOUN
cana-3463	5	34	,	,	PUNCT
cana-3463	5	35	which	which	PRON
cana-3463	5	36	employs	employ	VERB
cana-3463	5	37	binary	binary	ADJ
cana-3463	5	38	sequences	sequence	NOUN
cana-3463	5	39	and	and	CCONJ
cana-3463	5	40	long	long	ADJ
cana-3463	5	41	-	-	PUNCT
cana-3463	5	42	range	range	NOUN
cana-3463	5	43	fractional	fractional	ADJ
cana-3463	5	44	correlation	correlation	NOUN
cana-3463	5	45	analysis	analysis	NOUN
cana-3463	5	46	.	.	PUNCT
cana-3463	6	1	these	these	DET
cana-3463	6	2	numerical	numerical	ADJ
cana-3463	6	3	representations	representation	NOUN
cana-3463	6	4	are	be	AUX
cana-3463	6	5	converted	convert	VERB
cana-3463	6	6	into	into	ADP
cana-3463	6	7	spectrograms	spectrogram	NOUN
cana-3463	6	8	through	through	ADP
cana-3463	6	9	short	short	ADJ
cana-3463	6	10	-	-	PUNCT
cana-3463	6	11	time	time	NOUN
cana-3463	6	12	fourier	fourier	NOUN
cana-3463	6	13	transform	transform	NOUN
cana-3463	6	14	(	(	PUNCT
cana-3463	6	15	stft	stft	PROPN
cana-3463	6	16	)	)	PUNCT
cana-3463	6	17	,	,	PUNCT
cana-3463	6	18	enabling	enable	VERB
cana-3463	6	19	their	their	PRON
cana-3463	6	20	analysis	analysis	NOUN
cana-3463	6	21	using	use	VERB
cana-3463	6	22	deep	deep	ADJ
cana-3463	6	23	learning	learning	NOUN
cana-3463	6	24	models	model	NOUN
cana-3463	6	25	,	,	PUNCT
cana-3463	6	26	including	include	VERB
cana-3463	6	27	1d	1d	NUM
cana-3463	6	28	convolutional	convolutional	ADJ
cana-3463	6	29	neural	neural	ADJ
cana-3463	6	30	networks	network	NOUN
cana-3463	6	31	(	(	PUNCT
cana-3463	6	32	1dcnn	1dcnn	NUM
cana-3463	6	33	)	)	PUNCT
cana-3463	6	34	,	,	PUNCT
cana-3463	6	35	convolutional	convolutional	ADJ
cana-3463	6	36	neural	neural	ADJ
cana-3463	6	37	networks	network	NOUN
cana-3463	6	38	(	(	PUNCT
cana-3463	6	39	cnn	cnn	PROPN
cana-3463	6	40	)	)	PUNCT
cana-3463	6	41	,	,	PUNCT
cana-3463	6	42	recurrent	recurrent	ADJ
cana-3463	6	43	neural	neural	ADJ
cana-3463	6	44	networks	network	NOUN
cana-3463	6	45	(	(	PUNCT
cana-3463	6	46	rnn	rnn	PROPN
cana-3463	6	47	)	)	PUNCT
cana-3463	6	48	,	,	PUNCT
cana-3463	6	49	and	and	CCONJ
cana-3463	6	50	graph	graph	VERB
cana-3463	6	51	neural	neural	ADJ
cana-3463	6	52	networks	network	NOUN
cana-3463	6	53	(	(	PUNCT
cana-3463	6	54	gnn	gnn	PROPN
cana-3463	6	55	)	)	PUNCT
cana-3463	6	56	.	.	PUNCT
cana-3463	7	1	among	among	ADP
cana-3463	7	2	these	these	PRON
cana-3463	7	3	,	,	PUNCT
cana-3463	7	4	gnn	gnn	PROPN
cana-3463	7	5	achieved	achieve	VERB
cana-3463	7	6	the	the	DET
cana-3463	7	7	highest	high	ADJ
cana-3463	7	8	accuracy	accuracy	NOUN
cana-3463	7	9	of	of	ADP
cana-3463	7	10	97.97	97.97	NUM
cana-3463	7	11	%	%	NOUN
cana-3463	7	12	,	,	PUNCT
cana-3463	7	13	followed	follow	VERB
cana-3463	7	14	by	by	ADP
cana-3463	7	15	rnn	rnn	NOUN
cana-3463	7	16	with	with	ADP
cana-3463	7	17	93.88	93.88	NUM
cana-3463	7	18	%	%	NOUN
cana-3463	7	19	,	,	PUNCT
cana-3463	7	20	and	and	CCONJ
cana-3463	7	21	cnn	cnn	PROPN
cana-3463	7	22	and	and	CCONJ
cana-3463	7	23	1d	1d	NUM
cana-3463	7	24	-	-	PUNCT
cana-3463	7	25	cnn	cnn	NOUN
cana-3463	7	26	with	with	ADP
cana-3463	7	27	91.02	91.02	NUM
cana-3463	7	28	%	%	NOUN
cana-3463	7	29	and	and	CCONJ
cana-3463	7	30	89.38	89.38	NUM
cana-3463	7	31	%	%	NOUN
cana-3463	7	32	,	,	PUNCT
cana-3463	7	33	respectively	respectively	ADV
cana-3463	7	34	.	.	PUNCT
cana-3463	8	1	these	these	DET
cana-3463	8	2	results	result	NOUN
cana-3463	8	3	highlight	highlight	VERB
cana-3463	8	4	the	the	DET
cana-3463	8	5	potential	potential	NOUN
cana-3463	8	6	of	of	ADP
cana-3463	8	7	gnn	gnn	PROPN
cana-3463	8	8	as	as	ADP
cana-3463	8	9	a	a	DET
cana-3463	8	10	precise	precise	ADJ
cana-3463	8	11	and	and	CCONJ
cana-3463	8	12	reliable	reliable	ADJ
cana-3463	8	13	tool	tool	NOUN
cana-3463	8	14	for	for	ADP
cana-3463	8	15	breast	breast	NOUN
cana-3463	8	16	cancer	cancer	NOUN
cana-3463	8	17	gene	gene	NOUN
cana-3463	8	18	prediction	prediction	NOUN
cana-3463	8	19	,	,	PUNCT
cana-3463	8	20	offering	offer	VERB
cana-3463	8	21	significant	significant	ADJ
cana-3463	8	22	promise	promise	NOUN
cana-3463	8	23	for	for	ADP
cana-3463	8	24	clinical	clinical	ADJ
cana-3463	8	25	applications	application	NOUN
cana-3463	8	26	.	.	PUNCT
cana-3463	9	1	keywords	keyword	NOUN
cana-3463	9	2	:	:	PUNCT
cana-3463	9	3	breast	breast	NOUN
cana-3463	9	4	cancer	cancer	NOUN
cana-3463	9	5	gene	gene	NOUN
cana-3463	9	6	prediction	prediction	NOUN
cana-3463	9	7	,	,	PUNCT
cana-3463	9	8	spectrogram	spectrogram	NOUN
cana-3463	9	9	images	image	NOUN
cana-3463	9	10	,	,	PUNCT
cana-3463	9	11	frequency	frequency	NOUN
cana-3463	9	12	-	-	PUNCT
cana-3463	9	13	ofoccurrence	ofoccurrence	NOUN
cana-3463	9	14	mapping	mapping	NOUN
cana-3463	9	15	,	,	PUNCT
cana-3463	9	16	cnn	cnn	PROPN
cana-3463	9	17	,	,	PUNCT
cana-3463	9	18	rnn	rnn	PROPN
cana-3463	9	19	,	,	PUNCT
cana-3463	9	20	gnn	gnn	PROPN
cana-3463	9	21	,	,	PUNCT
cana-3463	9	22	short	short	ADJ
cana-3463	9	23	-	-	PUNCT
cana-3463	9	24	time	time	NOUN
cana-3463	9	25	fourier	fourier	NOUN
cana-3463	9	26	transform	transform	NOUN
cana-3463	9	27	.	.	PUNCT
cana-3463	10	1	1	1	X
cana-3463	10	2	.	.	X
cana-3463	10	3	introduction	introduction	NOUN
cana-3463	10	4	breast	breast	NOUN
cana-3463	10	5	cancer	cancer	NOUN
cana-3463	10	6	,	,	PUNCT
cana-3463	10	7	a	a	DET
cana-3463	10	8	significant	significant	ADJ
cana-3463	10	9	global	global	ADJ
cana-3463	10	10	health	health	NOUN
cana-3463	10	11	challenge	challenge	NOUN
cana-3463	10	12	,	,	PUNCT
cana-3463	10	13	ranks	rank	VERB
cana-3463	10	14	as	as	ADP
cana-3463	10	15	the	the	DET
cana-3463	10	16	second	second	ADJ
cana-3463	10	17	most	most	ADV
cana-3463	10	18	prevalent	prevalent	ADJ
cana-3463	10	19	cancer	cancer	NOUN
cana-3463	10	20	worldwide	worldwide	ADV
cana-3463	10	21	.	.	PUNCT
cana-3463	11	1	its	its	PRON
cana-3463	11	2	silent	silent	ADJ
cana-3463	11	3	progression	progression	NOUN
cana-3463	11	4	,	,	PUNCT
cana-3463	11	5	often	often	ADV
cana-3463	11	6	devoid	devoid	ADJ
cana-3463	11	7	of	of	ADP
cana-3463	11	8	early	early	ADJ
cana-3463	11	9	warning	warning	NOUN
cana-3463	11	10	signs	sign	NOUN
cana-3463	11	11	,	,	PUNCT
cana-3463	11	12	makes	make	VERB
cana-3463	11	13	it	it	PRON
cana-3463	11	14	a	a	DET
cana-3463	11	15	particularly	particularly	ADV
cana-3463	11	16	difficult	difficult	ADJ
cana-3463	11	17	disease	disease	NOUN
cana-3463	11	18	to	to	PART
cana-3463	11	19	detect	detect	VERB
cana-3463	11	20	and	and	CCONJ
cana-3463	11	21	manage	manage	VERB
cana-3463	11	22	.	.	PUNCT
cana-3463	12	1	among	among	ADP
cana-3463	12	2	all	all	DET
cana-3463	12	3	malignancies	malignancy	NOUN
cana-3463	12	4	,	,	PUNCT
cana-3463	12	5	breast	breast	NOUN
cana-3463	12	6	cancer	cancer	NOUN
cana-3463	12	7	has	have	AUX
cana-3463	12	8	surpassed	surpass	VERB
cana-3463	12	9	cervical	cervical	ADJ
cana-3463	12	10	cancer	cancer	NOUN
cana-3463	12	11	to	to	PART
cana-3463	12	12	become	become	VERB
cana-3463	12	13	the	the	DET
cana-3463	12	14	most	most	ADV
cana-3463	12	15	frequently	frequently	ADV
cana-3463	12	16	diagnosed	diagnose	VERB
cana-3463	12	17	cancer	cancer	NOUN
cana-3463	12	18	in	in	ADP
cana-3463	12	19	women	woman	NOUN
cana-3463	12	20	and	and	CCONJ
cana-3463	12	21	,	,	PUNCT
cana-3463	12	22	in	in	ADP
cana-3463	12	23	recent	recent	ADJ
cana-3463	12	24	years	year	NOUN
cana-3463	12	25	,	,	PUNCT
cana-3463	12	26	has	have	AUX
cana-3463	12	27	also	also	ADV
cana-3463	12	28	eclipsed	eclipse	VERB
cana-3463	12	29	lung	lung	NOUN
cana-3463	12	30	cancer	cancer	NOUN
cana-3463	12	31	in	in	ADP
cana-3463	12	32	global	global	ADJ
cana-3463	12	33	prevalence	prevalence	NOUN
cana-3463	13	1	[	[	X
cana-3463	13	2	1	1	NUM
cana-3463	13	3	]	]	PUNCT
cana-3463	13	4	.	.	PUNCT
cana-3463	14	1	in	in	ADP
cana-3463	14	2	2020	2020	NUM
cana-3463	14	3	alone	alone	ADV
cana-3463	14	4	,	,	PUNCT
cana-3463	14	5	an	an	DET
cana-3463	14	6	estimated	estimate	VERB
cana-3463	14	7	2.26	2.26	NUM
cana-3463	14	8	million	million	NUM
cana-3463	14	9	new	new	ADJ
cana-3463	14	10	cases	case	NOUN
cana-3463	14	11	of	of	ADP
cana-3463	14	12	breast	breast	NOUN
cana-3463	14	13	cancer	cancer	NOUN
cana-3463	14	14	were	be	AUX
cana-3463	14	15	identified	identify	VERB
cana-3463	14	16	in	in	ADP
cana-3463	14	17	women	woman	NOUN
cana-3463	14	18	worldwide	worldwide	ADV
cana-3463	14	19	,	,	PUNCT
cana-3463	14	20	highlighting	highlight	VERB
cana-3463	14	21	the	the	DET
cana-3463	14	22	critical	critical	ADJ
cana-3463	14	23	need	need	NOUN
cana-3463	14	24	for	for	ADP
cana-3463	14	25	continued	continue	VERB
cana-3463	14	26	research	research	NOUN
cana-3463	14	27	,	,	PUNCT
cana-3463	14	28	development	development	NOUN
cana-3463	14	29	,	,	PUNCT
cana-3463	14	30	and	and	CCONJ
cana-3463	14	31	intervention	intervention	NOUN
cana-3463	14	32	efforts	effort	NOUN
cana-3463	14	33	[	[	X
cana-3463	14	34	2	2	NUM
cana-3463	14	35	]	]	PUNCT
cana-3463	14	36	.	.	PUNCT
cana-3463	15	1	the	the	DET
cana-3463	15	2	united	united	PROPN
cana-3463	15	3	states	states	PROPN
cana-3463	15	4	faces	face	VERB
cana-3463	15	5	a	a	DET
cana-3463	15	6	considerable	considerable	ADJ
cana-3463	15	7	burden	burden	NOUN
cana-3463	15	8	,	,	PUNCT
cana-3463	15	9	with	with	ADP
cana-3463	15	10	breast	breast	NOUN
cana-3463	15	11	cancer	cancer	NOUN
cana-3463	15	12	accounting	account	VERB
cana-3463	15	13	for	for	ADP
cana-3463	15	14	one	one	NUM
cana-3463	15	15	-	-	PUNCT
cana-3463	15	16	third	third	NOUN
cana-3463	15	17	of	of	ADP
cana-3463	15	18	all	all	DET
cana-3463	15	19	newly	newly	ADV
cana-3463	15	20	diagnosed	diagnose	VERB
cana-3463	15	21	female	female	ADJ
cana-3463	15	22	cancers	cancer	NOUN
cana-3463	15	23	,	,	PUNCT
cana-3463	15	24	excluding	exclude	VERB
cana-3463	15	25	skin	skin	NOUN
cana-3463	15	26	cancer	cancer	NOUN
cana-3463	15	27	.	.	PUNCT
cana-3463	16	1	these	these	DET
cana-3463	16	2	statistics	statistic	NOUN
cana-3463	16	3	emphasize	emphasize	VERB
cana-3463	16	4	the	the	DET
cana-3463	16	5	urgency	urgency	NOUN
cana-3463	16	6	of	of	ADP
cana-3463	16	7	addressing	address	VERB
cana-3463	16	8	this	this	DET
cana-3463	16	9	pervasive	pervasive	ADJ
cana-3463	16	10	health	health	NOUN
cana-3463	16	11	issue	issue	NOUN
cana-3463	16	12	through	through	ADP
cana-3463	16	13	innovative	innovative	ADJ
cana-3463	16	14	approaches	approach	NOUN
cana-3463	16	15	and	and	CCONJ
cana-3463	16	16	targeted	target	VERB
cana-3463	16	17	strategies	strategy	NOUN
cana-3463	16	18	[	[	X
cana-3463	16	19	3	3	NUM
cana-3463	16	20	]	]	PUNCT
cana-3463	16	21	.	.	PUNCT
cana-3463	17	1	looking	look	VERB
cana-3463	17	2	ahead	ahead	ADV
cana-3463	17	3	to	to	ADP
cana-3463	17	4	2023	2023	NUM
cana-3463	17	5	,	,	PUNCT
cana-3463	17	6	the	the	DET
cana-3463	17	7	prognosis	prognosis	NOUN
cana-3463	17	8	for	for	ADP
cana-3463	17	9	breast	breast	NOUN
cana-3463	17	10	cancer	cancer	NOUN
cana-3463	17	11	remains	remain	VERB
cana-3463	17	12	concerning	concern	VERB
cana-3463	17	13	.	.	PUNCT
cana-3463	18	1	it	it	PRON
cana-3463	18	2	is	be	AUX
cana-3463	18	3	predicted	predict	VERB
cana-3463	18	4	that	that	SCONJ
cana-3463	18	5	297,790	297,790	NUM
cana-3463	18	6	american	american	ADJ
cana-3463	18	7	women	woman	NOUN
cana-3463	18	8	will	will	AUX
cana-3463	18	9	be	be	AUX
cana-3463	18	10	diagnosed	diagnose	VERB
cana-3463	18	11	with	with	ADP
cana-3463	18	12	invasive	invasive	ADJ
cana-3463	18	13	breast	breast	NOUN
cana-3463	18	14	cancer	cancer	NOUN
cana-3463	18	15	this	this	DET
cana-3463	18	16	year	year	NOUN
cana-3463	18	17	,	,	PUNCT
cana-3463	18	18	alongside	alongside	ADP
cana-3463	18	19	55,720	55,720	NUM
cana-3463	18	20	cases	case	NOUN
cana-3463	18	21	of	of	ADP
cana-3463	18	22	in	in	ADP
cana-3463	18	23	situ	situ	NOUN
cana-3463	18	24	(	(	PUNCT
cana-3463	18	25	non	non	ADJ
cana-3463	18	26	-	-	ADJ
cana-3463	18	27	invasive	invasive	ADJ
cana-3463	18	28	)	)	PUNCT
cana-3463	18	29	breast	breast	NOUN
cana-3463	18	30	cancer	cancer	NOUN
cana-3463	19	1	[	[	X
cana-3463	19	2	3	3	NUM
cana-3463	19	3	]	]	PUNCT
cana-3463	19	4	.	.	PUNCT
cana-3463	20	1	alarmingly	alarmingly	ADV
cana-3463	20	2	,	,	PUNCT
cana-3463	20	3	the	the	DET
cana-3463	20	4	incidence	incidence	NOUN
cana-3463	20	5	of	of	ADP
cana-3463	20	6	invasive	invasive	ADJ
cana-3463	20	7	breast	breast	NOUN
cana-3463	20	8	cancer	cancer	NOUN
cana-3463	20	9	mailto:shalini.mathi@gmail.com	mailto:shalini.mathi@gmail.com	X
cana-3463	20	10	mailto:radhikachandru79@gmail.com	mailto:radhikachandru79@gmail.com	PROPN
cana-3463	20	11	mailto:shalini.mathi@gmail.com	mailto:shalini.mathi@gmail.com	PROPN
cana-3463	20	12	communications	communication	NOUN
cana-3463	20	13	on	on	ADP
cana-3463	20	14	applied	apply	VERB
cana-3463	20	15	nonlinear	nonlinear	ADJ
cana-3463	20	16	analysis	analysis	NOUN
cana-3463	20	17	issn	issn	NOUN
cana-3463	20	18	:	:	PUNCT
cana-3463	20	19	1074	1074	NUM
cana-3463	20	20	-	-	PUNCT
cana-3463	20	21	133x	133x	NUM
cana-3463	20	22	vol	vol	NOUN
cana-3463	20	23	32	32	NUM
cana-3463	20	24	no	no	NOUN
cana-3463	20	25	.	.	PUNCT
cana-3463	21	1	7s	7	NOUN
cana-3463	21	2	(	(	PUNCT
cana-3463	21	3	2025	2025	NUM
cana-3463	21	4	)	)	PUNCT
cana-3463	21	5	543	543	NUM
cana-3463	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	21	7	among	among	ADP
cana-3463	21	8	women	woman	NOUN
cana-3463	21	9	has	have	AUX
cana-3463	21	10	been	be	AUX
cana-3463	21	11	steadily	steadily	ADV
cana-3463	21	12	rising	rise	VERB
cana-3463	21	13	since	since	SCONJ
cana-3463	21	14	the	the	DET
cana-3463	21	15	mid-2000s	mid-2000s	PROPN
cana-3463	21	16	,	,	PUNCT
cana-3463	21	17	increasing	increase	VERB
cana-3463	21	18	by	by	ADP
cana-3463	21	19	approximately	approximately	ADV
cana-3463	21	20	0.5	0.5	NUM
cana-3463	21	21	%	%	NOUN
cana-3463	21	22	annually	annually	ADV
cana-3463	21	23	.	.	PUNCT
cana-3463	22	1	this	this	DET
cana-3463	22	2	troubling	troubling	ADJ
cana-3463	22	3	trend	trend	NOUN
cana-3463	22	4	is	be	AUX
cana-3463	22	5	attributed	attribute	VERB
cana-3463	22	6	to	to	ADP
cana-3463	22	7	factors	factor	NOUN
cana-3463	22	8	such	such	ADJ
cana-3463	22	9	as	as	ADP
cana-3463	22	10	rising	rise	VERB
cana-3463	22	11	rates	rate	NOUN
cana-3463	22	12	of	of	ADP
cana-3463	22	13	excess	excess	ADJ
cana-3463	22	14	body	body	NOUN
cana-3463	22	15	weight	weight	NOUN
cana-3463	22	16	,	,	PUNCT
cana-3463	22	17	declining	decline	VERB
cana-3463	22	18	fertility	fertility	NOUN
cana-3463	22	19	rates	rate	NOUN
cana-3463	22	20	,	,	PUNCT
cana-3463	22	21	and	and	CCONJ
cana-3463	22	22	delayed	delay	VERB
cana-3463	22	23	age	age	NOUN
cana-3463	22	24	of	of	ADP
cana-3463	22	25	first	first	ADJ
cana-3463	22	26	childbirth	childbirth	NOUN
cana-3463	22	27	.	.	PUNCT
cana-3463	23	1	although	although	SCONJ
cana-3463	23	2	breast	breast	NOUN
cana-3463	23	3	cancer	cancer	NOUN
cana-3463	23	4	is	be	AUX
cana-3463	23	5	less	less	ADV
cana-3463	23	6	common	common	ADJ
cana-3463	23	7	in	in	ADP
cana-3463	23	8	men	man	NOUN
cana-3463	23	9	,	,	PUNCT
cana-3463	23	10	an	an	DET
cana-3463	23	11	estimated	estimate	VERB
cana-3463	23	12	2,800	2,800	NUM
cana-3463	23	13	men	man	NOUN
cana-3463	23	14	in	in	ADP
cana-3463	23	15	the	the	DET
cana-3463	23	16	united	united	PROPN
cana-3463	23	17	states	states	PROPN
cana-3463	23	18	are	be	AUX
cana-3463	23	19	projected	project	VERB
cana-3463	23	20	to	to	PART
cana-3463	23	21	receive	receive	VERB
cana-3463	23	22	a	a	DET
cana-3463	23	23	diagnosis	diagnosis	NOUN
cana-3463	23	24	of	of	ADP
cana-3463	23	25	invasive	invasive	ADJ
cana-3463	23	26	breast	breast	NOUN
cana-3463	23	27	cancer	cancer	NOUN
cana-3463	23	28	in	in	ADP
cana-3463	23	29	2023	2023	NUM
cana-3463	23	30	,	,	PUNCT
cana-3463	23	31	emphasizing	emphasize	VERB
cana-3463	23	32	the	the	DET
cana-3463	23	33	importance	importance	NOUN
cana-3463	23	34	of	of	ADP
cana-3463	23	35	inclusive	inclusive	ADJ
cana-3463	23	36	awareness	awareness	NOUN
cana-3463	23	37	and	and	CCONJ
cana-3463	23	38	research	research	NOUN
cana-3463	23	39	efforts	effort	NOUN
cana-3463	23	40	.	.	PUNCT
cana-3463	24	1	the	the	DET
cana-3463	24	2	situation	situation	NOUN
cana-3463	24	3	is	be	AUX
cana-3463	24	4	equally	equally	ADV
cana-3463	24	5	worrisome	worrisome	ADJ
cana-3463	24	6	in	in	ADP
cana-3463	24	7	major	major	ADJ
cana-3463	24	8	indian	indian	ADJ
cana-3463	24	9	cities	city	NOUN
cana-3463	24	10	such	such	ADJ
cana-3463	24	11	as	as	ADP
cana-3463	24	12	mumbai	mumbai	PROPN
cana-3463	24	13	,	,	PUNCT
cana-3463	24	14	delhi	delhi	PROPN
cana-3463	24	15	,	,	PUNCT
cana-3463	24	16	bengaluru	bengaluru	PROPN
cana-3463	24	17	,	,	PUNCT
cana-3463	24	18	bhopal	bhopal	PROPN
cana-3463	24	19	,	,	PUNCT
cana-3463	24	20	kolkata	kolkata	PROPN
cana-3463	24	21	,	,	PUNCT
cana-3463	24	22	chennai	chennai	NOUN
cana-3463	24	23	,	,	PUNCT
cana-3463	24	24	and	and	CCONJ
cana-3463	24	25	ahmedabad	ahmedabad	PROPN
cana-3463	24	26	,	,	PUNCT
cana-3463	24	27	where	where	SCONJ
cana-3463	24	28	breast	breast	NOUN
cana-3463	24	29	cancer	cancer	NOUN
cana-3463	24	30	accounts	account	VERB
cana-3463	24	31	for	for	ADP
cana-3463	24	32	25	25	NUM
cana-3463	24	33	%	%	NOUN
cana-3463	24	34	to	to	PART
cana-3463	24	35	32	32	NUM
cana-3463	24	36	%	%	NOUN
cana-3463	24	37	of	of	ADP
cana-3463	24	38	all	all	DET
cana-3463	24	39	female	female	ADJ
cana-3463	24	40	cancer	cancer	NOUN
cana-3463	24	41	cases	case	NOUN
cana-3463	24	42	,	,	PUNCT
cana-3463	24	43	representing	represent	VERB
cana-3463	24	44	over	over	ADP
cana-3463	24	45	a	a	DET
cana-3463	24	46	quarter	quarter	NOUN
cana-3463	24	47	of	of	ADP
cana-3463	24	48	the	the	DET
cana-3463	24	49	total	total	ADJ
cana-3463	24	50	female	female	ADJ
cana-3463	24	51	cancer	cancer	NOUN
cana-3463	24	52	burden	burden	NOUN
cana-3463	24	53	.	.	PUNCT
cana-3463	25	1	these	these	DET
cana-3463	25	2	statistics	statistic	NOUN
cana-3463	25	3	highlight	highlight	VERB
cana-3463	25	4	the	the	DET
cana-3463	25	5	critical	critical	ADJ
cana-3463	25	6	need	need	NOUN
cana-3463	25	7	for	for	ADP
cana-3463	25	8	innovative	innovative	ADJ
cana-3463	25	9	strategies	strategy	NOUN
cana-3463	25	10	focused	focus	VERB
cana-3463	25	11	on	on	ADP
cana-3463	25	12	early	early	ADJ
cana-3463	25	13	detection	detection	NOUN
cana-3463	25	14	,	,	PUNCT
cana-3463	25	15	prediction	prediction	NOUN
cana-3463	25	16	,	,	PUNCT
cana-3463	25	17	and	and	CCONJ
cana-3463	25	18	intervention	intervention	NOUN
cana-3463	25	19	to	to	PART
cana-3463	25	20	address	address	VERB
cana-3463	25	21	this	this	DET
cana-3463	25	22	escalating	escalate	VERB
cana-3463	25	23	health	health	NOUN
cana-3463	25	24	challenge	challenge	NOUN
cana-3463	25	25	.	.	PUNCT
cana-3463	26	1	breast	breast	NOUN
cana-3463	26	2	cancer	cancer	NOUN
cana-3463	26	3	,	,	PUNCT
cana-3463	26	4	one	one	NUM
cana-3463	26	5	of	of	ADP
cana-3463	26	6	the	the	DET
cana-3463	26	7	most	most	ADV
cana-3463	26	8	frequently	frequently	ADV
cana-3463	26	9	diagnosed	diagnose	VERB
cana-3463	26	10	cancers	cancer	NOUN
cana-3463	26	11	in	in	ADP
cana-3463	26	12	women	woman	NOUN
cana-3463	26	13	worldwide	worldwide	ADV
cana-3463	26	14	,	,	PUNCT
cana-3463	26	15	presents	present	VERB
cana-3463	26	16	a	a	DET
cana-3463	26	17	significant	significant	ADJ
cana-3463	26	18	challenge	challenge	NOUN
cana-3463	26	19	for	for	ADP
cana-3463	26	20	healthcare	healthcare	NOUN
cana-3463	26	21	providers	provider	NOUN
cana-3463	26	22	[	[	X
cana-3463	26	23	4	4	NUM
cana-3463	26	24	]	]	PUNCT
cana-3463	26	25	.	.	PUNCT
cana-3463	27	1	machine	machine	NOUN
cana-3463	27	2	learning	learning	NOUN
cana-3463	27	3	models	model	NOUN
cana-3463	27	4	have	have	AUX
cana-3463	27	5	emerged	emerge	VERB
cana-3463	27	6	as	as	ADP
cana-3463	27	7	transformative	transformative	ADJ
cana-3463	27	8	tools	tool	NOUN
cana-3463	27	9	in	in	ADP
cana-3463	27	10	addressing	address	VERB
cana-3463	27	11	various	various	ADJ
cana-3463	27	12	aspects	aspect	NOUN
cana-3463	27	13	of	of	ADP
cana-3463	27	14	breast	breast	NOUN
cana-3463	27	15	cancer	cancer	NOUN
cana-3463	27	16	management	management	NOUN
cana-3463	27	17	.	.	PUNCT
cana-3463	28	1	convolutional	convolutional	ADJ
cana-3463	28	2	neural	neural	ADJ
cana-3463	28	3	networks	network	NOUN
cana-3463	28	4	(	(	PUNCT
cana-3463	28	5	cnns	cnns	PROPN
cana-3463	28	6	)	)	PUNCT
cana-3463	28	7	have	have	AUX
cana-3463	28	8	revolutionized	revolutionize	VERB
cana-3463	28	9	mammogram	mammogram	NOUN
cana-3463	28	10	analysis	analysis	NOUN
cana-3463	28	11	by	by	ADP
cana-3463	28	12	automating	automate	VERB
cana-3463	28	13	the	the	DET
cana-3463	28	14	detection	detection	NOUN
cana-3463	28	15	of	of	ADP
cana-3463	28	16	subtle	subtle	ADJ
cana-3463	28	17	abnormalities	abnormality	NOUN
cana-3463	28	18	,	,	PUNCT
cana-3463	28	19	facilitating	facilitate	VERB
cana-3463	28	20	early	early	ADJ
cana-3463	28	21	diagnosis	diagnosis	NOUN
cana-3463	28	22	and	and	CCONJ
cana-3463	28	23	timely	timely	ADJ
cana-3463	28	24	intervention	intervention	NOUN
cana-3463	28	25	.	.	PUNCT
cana-3463	29	1	machine	machine	NOUN
cana-3463	29	2	learning	learning	NOUN
cana-3463	29	3	-	-	PUNCT
cana-3463	29	4	driven	drive	VERB
cana-3463	29	5	risk	risk	NOUN
cana-3463	29	6	assessment	assessment	NOUN
cana-3463	29	7	models	model	NOUN
cana-3463	29	8	integrate	integrate	VERB
cana-3463	29	9	diverse	diverse	ADJ
cana-3463	29	10	factors	factor	NOUN
cana-3463	29	11	to	to	PART
cana-3463	29	12	generate	generate	VERB
cana-3463	29	13	personalized	personalized	ADJ
cana-3463	29	14	risk	risk	NOUN
cana-3463	29	15	profiles	profile	NOUN
cana-3463	29	16	,	,	PUNCT
cana-3463	29	17	enabling	enable	VERB
cana-3463	29	18	tailored	tailor	VERB
cana-3463	29	19	screening	screening	NOUN
cana-3463	29	20	and	and	CCONJ
cana-3463	29	21	prevention	prevention	NOUN
cana-3463	29	22	strategies	strategy	NOUN
cana-3463	29	23	[	[	X
cana-3463	29	24	5][6	5][6	NUM
cana-3463	29	25	]	]	PUNCT
cana-3463	29	26	.	.	PUNCT
cana-3463	30	1	these	these	DET
cana-3463	30	2	models	model	NOUN
cana-3463	30	3	also	also	ADV
cana-3463	30	4	power	power	VERB
cana-3463	30	5	genomic	genomic	ADJ
cana-3463	30	6	analysis	analysis	NOUN
cana-3463	30	7	,	,	PUNCT
cana-3463	30	8	identifying	identify	VERB
cana-3463	30	9	gene	gene	NOUN
cana-3463	30	10	mutations	mutation	NOUN
cana-3463	30	11	linked	link	VERB
cana-3463	30	12	to	to	ADP
cana-3463	30	13	breast	breast	NOUN
cana-3463	30	14	cancer	cancer	NOUN
cana-3463	30	15	risk	risk	NOUN
cana-3463	30	16	,	,	PUNCT
cana-3463	30	17	thus	thus	ADV
cana-3463	30	18	supporting	support	VERB
cana-3463	30	19	genetic	genetic	ADJ
cana-3463	30	20	counseling	counseling	NOUN
cana-3463	30	21	efforts.in	efforts.in	ADJ
cana-3463	30	22	diagnostics	diagnostic	NOUN
cana-3463	30	23	,	,	PUNCT
cana-3463	30	24	histopathology	histopathology	NOUN
cana-3463	30	25	classification	classification	NOUN
cana-3463	30	26	models	model	NOUN
cana-3463	30	27	improve	improve	VERB
cana-3463	30	28	accuracy	accuracy	NOUN
cana-3463	30	29	by	by	ADP
cana-3463	30	30	categorizing	categorize	VERB
cana-3463	30	31	tumors	tumor	NOUN
cana-3463	30	32	based	base	VERB
cana-3463	30	33	on	on	ADP
cana-3463	30	34	tissue	tissue	NOUN
cana-3463	30	35	samples	sample	NOUN
cana-3463	30	36	,	,	PUNCT
cana-3463	30	37	while	while	SCONJ
cana-3463	30	38	machine	machine	NOUN
cana-3463	30	39	learning	learning	NOUN
cana-3463	30	40	informs	inform	VERB
cana-3463	30	41	treatment	treatment	NOUN
cana-3463	30	42	planning	planning	NOUN
cana-3463	30	43	by	by	ADP
cana-3463	30	44	predicting	predict	VERB
cana-3463	30	45	therapy	therapy	NOUN
cana-3463	30	46	responses	response	NOUN
cana-3463	30	47	and	and	CCONJ
cana-3463	30	48	guiding	guide	VERB
cana-3463	30	49	long	long	ADJ
cana-3463	30	50	-	-	PUNCT
cana-3463	30	51	term	term	NOUN
cana-3463	30	52	management	management	NOUN
cana-3463	30	53	through	through	ADP
cana-3463	30	54	survival	survival	NOUN
cana-3463	30	55	and	and	CCONJ
cana-3463	30	56	recurrence	recurrence	NOUN
cana-3463	30	57	risk	risk	NOUN
cana-3463	30	58	assessments	assessment	NOUN
cana-3463	30	59	.	.	PUNCT
cana-3463	31	1	radiogenomics	radiogenomic	NOUN
cana-3463	31	2	,	,	PUNCT
cana-3463	31	3	powered	power	VERB
cana-3463	31	4	by	by	ADP
cana-3463	31	5	these	these	DET
cana-3463	31	6	models	model	NOUN
cana-3463	31	7	,	,	PUNCT
cana-3463	31	8	bridges	bridge	NOUN
cana-3463	31	9	imaging	imaging	NOUN
cana-3463	31	10	features	feature	VERB
cana-3463	31	11	with	with	ADP
cana-3463	31	12	genetic	genetic	ADJ
cana-3463	31	13	characteristics	characteristic	NOUN
cana-3463	31	14	,	,	PUNCT
cana-3463	31	15	offering	offer	VERB
cana-3463	31	16	deeper	deep	ADJ
cana-3463	31	17	insights	insight	NOUN
cana-3463	31	18	into	into	ADP
cana-3463	31	19	tumor	tumor	NOUN
cana-3463	31	20	behavior	behavior	NOUN
cana-3463	31	21	.	.	PUNCT
cana-3463	32	1	by	by	ADP
cana-3463	32	2	integrating	integrate	VERB
cana-3463	32	3	diverse	diverse	ADJ
cana-3463	32	4	patient	patient	ADJ
cana-3463	32	5	data	datum	NOUN
cana-3463	32	6	,	,	PUNCT
cana-3463	32	7	machine	machine	NOUN
cana-3463	32	8	learning	learning	NOUN
cana-3463	32	9	provides	provide	VERB
cana-3463	32	10	comprehensive	comprehensive	ADJ
cana-3463	32	11	profiles	profile	NOUN
cana-3463	32	12	to	to	PART
cana-3463	32	13	support	support	VERB
cana-3463	32	14	informed	inform	VERB
cana-3463	32	15	clinical	clinical	ADJ
cana-3463	32	16	decision	decision	NOUN
cana-3463	32	17	-	-	PUNCT
cana-3463	32	18	making	making	NOUN
cana-3463	32	19	,	,	PUNCT
cana-3463	32	20	optimize	optimize	VERB
cana-3463	32	21	patient	patient	ADJ
cana-3463	32	22	workflows	workflow	NOUN
cana-3463	32	23	,	,	PUNCT
cana-3463	32	24	and	and	CCONJ
cana-3463	32	25	accelerate	accelerate	VERB
cana-3463	32	26	drug	drug	NOUN
cana-3463	32	27	discovery	discovery	NOUN
cana-3463	32	28	for	for	ADP
cana-3463	32	29	personalized	personalized	ADJ
cana-3463	32	30	therapies	therapy	NOUN
cana-3463	32	31	.	.	PUNCT
cana-3463	33	1	in	in	ADP
cana-3463	33	2	the	the	DET
cana-3463	33	3	multifaceted	multifaceted	ADJ
cana-3463	33	4	fight	fight	NOUN
cana-3463	33	5	against	against	ADP
cana-3463	33	6	breast	breast	NOUN
cana-3463	33	7	cancer	cancer	NOUN
cana-3463	33	8	,	,	PUNCT
cana-3463	33	9	machine	machine	NOUN
cana-3463	33	10	learning	learning	NOUN
cana-3463	33	11	continues	continue	VERB
cana-3463	33	12	to	to	PART
cana-3463	33	13	revolutionize	revolutionize	VERB
cana-3463	33	14	early	early	ADJ
cana-3463	33	15	detection	detection	NOUN
cana-3463	33	16	,	,	PUNCT
cana-3463	33	17	diagnosis	diagnosis	NOUN
cana-3463	33	18	,	,	PUNCT
cana-3463	33	19	and	and	CCONJ
cana-3463	33	20	treatment	treatment	NOUN
cana-3463	33	21	,	,	PUNCT
cana-3463	33	22	enhancing	enhance	VERB
cana-3463	33	23	patient	patient	ADJ
cana-3463	33	24	outcomes	outcome	NOUN
cana-3463	33	25	and	and	CCONJ
cana-3463	33	26	healthcare	healthcare	NOUN
cana-3463	33	27	efficiency	efficiency	NOUN
cana-3463	33	28	.	.	PUNCT
cana-3463	34	1	in	in	ADP
cana-3463	34	2	the	the	DET
cana-3463	34	3	era	era	NOUN
cana-3463	34	4	of	of	ADP
cana-3463	34	5	expanding	expand	VERB
cana-3463	34	6	biomedical	biomedical	ADJ
cana-3463	34	7	data	datum	NOUN
cana-3463	34	8	and	and	CCONJ
cana-3463	34	9	rapid	rapid	ADJ
cana-3463	34	10	technological	technological	ADJ
cana-3463	34	11	advancements	advancement	NOUN
cana-3463	34	12	,	,	PUNCT
cana-3463	34	13	cancer	cancer	NOUN
cana-3463	34	14	research	research	NOUN
cana-3463	34	15	has	have	AUX
cana-3463	34	16	entered	enter	VERB
cana-3463	34	17	a	a	DET
cana-3463	34	18	transformative	transformative	ADJ
cana-3463	34	19	phase	phase	NOUN
cana-3463	34	20	,	,	PUNCT
cana-3463	34	21	opening	open	VERB
cana-3463	34	22	new	new	ADJ
cana-3463	34	23	avenues	avenue	NOUN
cana-3463	34	24	for	for	ADP
cana-3463	34	25	innovation	innovation	NOUN
cana-3463	34	26	[	[	X
cana-3463	34	27	7	7	NUM
cana-3463	34	28	]	]	PUNCT
cana-3463	34	29	.	.	PUNCT
cana-3463	35	1	among	among	ADP
cana-3463	35	2	these	these	DET
cana-3463	35	3	frontiers	frontier	NOUN
cana-3463	35	4	is	be	AUX
cana-3463	35	5	the	the	DET
cana-3463	35	6	integration	integration	NOUN
cana-3463	35	7	of	of	ADP
cana-3463	35	8	genomics	genomic	NOUN
cana-3463	35	9	and	and	CCONJ
cana-3463	35	10	deep	deep	ADJ
cana-3463	35	11	learning	learning	NOUN
cana-3463	35	12	techniques	technique	NOUN
cana-3463	35	13	to	to	PART
cana-3463	35	14	address	address	VERB
cana-3463	35	15	the	the	DET
cana-3463	35	16	complexities	complexity	NOUN
cana-3463	35	17	of	of	ADP
cana-3463	35	18	breast	breast	NOUN
cana-3463	35	19	cancer	cancer	NOUN
cana-3463	35	20	.	.	PUNCT
cana-3463	36	1	this	this	DET
cana-3463	36	2	study	study	NOUN
cana-3463	36	3	aims	aim	VERB
cana-3463	36	4	to	to	PART
cana-3463	36	5	harness	harness	VERB
cana-3463	36	6	the	the	DET
cana-3463	36	7	power	power	NOUN
cana-3463	36	8	of	of	ADP
cana-3463	36	9	artificial	artificial	ADJ
cana-3463	36	10	intelligence	intelligence	NOUN
cana-3463	36	11	(	(	PUNCT
cana-3463	36	12	ai	ai	NOUN
cana-3463	36	13	)	)	PUNCT
cana-3463	36	14	and	and	CCONJ
cana-3463	36	15	machine	machine	NOUN
cana-3463	36	16	learning	learn	VERB
cana-3463	36	17	to	to	PART
cana-3463	36	18	develop	develop	VERB
cana-3463	36	19	more	more	ADV
cana-3463	36	20	accurate	accurate	ADJ
cana-3463	36	21	and	and	CCONJ
cana-3463	36	22	efficient	efficient	ADJ
cana-3463	36	23	methods	method	NOUN
cana-3463	36	24	for	for	ADP
cana-3463	36	25	breast	breast	NOUN
cana-3463	36	26	cancer	cancer	NOUN
cana-3463	36	27	gene	gene	NOUN
cana-3463	36	28	prediction	prediction	NOUN
cana-3463	37	1	[	[	X
cana-3463	37	2	8][9	8][9	NOUN
cana-3463	37	3	]	]	X
cana-3463	37	4	.	.	PUNCT
cana-3463	38	1	the	the	DET
cana-3463	38	2	research	research	NOUN
cana-3463	38	3	begins	begin	VERB
cana-3463	38	4	with	with	ADP
cana-3463	38	5	the	the	DET
cana-3463	38	6	meticulous	meticulous	ADJ
cana-3463	38	7	collection	collection	NOUN
cana-3463	38	8	of	of	ADP
cana-3463	38	9	genomic	genomic	ADJ
cana-3463	38	10	data	datum	NOUN
cana-3463	38	11	,	,	PUNCT
cana-3463	38	12	including	include	VERB
cana-3463	38	13	normal	normal	ADJ
cana-3463	38	14	and	and	CCONJ
cana-3463	38	15	breast	breast	NOUN
cana-3463	38	16	cancer	cancer	NOUN
cana-3463	38	17	-	-	PUNCT
cana-3463	38	18	associated	associate	VERB
cana-3463	38	19	genes	gene	NOUN
cana-3463	38	20	,	,	PUNCT
cana-3463	38	21	sourced	source	VERB
cana-3463	38	22	from	from	ADP
cana-3463	38	23	trusted	trusted	ADJ
cana-3463	38	24	repositories	repository	NOUN
cana-3463	38	25	such	such	ADJ
cana-3463	38	26	as	as	ADP
cana-3463	38	27	the	the	DET
cana-3463	38	28	national	national	ADJ
cana-3463	38	29	center	center	NOUN
cana-3463	38	30	for	for	ADP
cana-3463	38	31	biotechnology	biotechnology	NOUN
cana-3463	38	32	information	information	NOUN
cana-3463	38	33	(	(	PUNCT
cana-3463	38	34	ncbi	ncbi	NOUN
cana-3463	38	35	)	)	PUNCT
cana-3463	38	36	and	and	CCONJ
cana-3463	38	37	the	the	DET
cana-3463	38	38	cancer	cancer	NOUN
cana-3463	38	39	genome	genome	NOUN
cana-3463	38	40	atlas	atlas	PROPN
cana-3463	38	41	(	(	PUNCT
cana-3463	38	42	tcga	tcga	PROPN
cana-3463	38	43	)	)	PUNCT
cana-3463	38	44	.	.	PUNCT
cana-3463	39	1	to	to	PART
cana-3463	39	2	prepare	prepare	VERB
cana-3463	39	3	this	this	DET
cana-3463	39	4	biological	biological	ADJ
cana-3463	39	5	data	datum	NOUN
cana-3463	39	6	for	for	ADP
cana-3463	39	7	computational	computational	ADJ
cana-3463	39	8	analysis	analysis	NOUN
cana-3463	39	9	,	,	PUNCT
cana-3463	39	10	innovative	innovative	ADJ
cana-3463	39	11	techniques	technique	NOUN
cana-3463	39	12	such	such	ADJ
cana-3463	39	13	as	as	ADP
cana-3463	39	14	atomic	atomic	ADJ
cana-3463	39	15	number	number	NOUN
cana-3463	39	16	encoding	encoding	NOUN
cana-3463	39	17	,	,	PUNCT
cana-3463	39	18	frequency	frequency	NOUN
cana-3463	39	19	-	-	PUNCT
cana-3463	39	20	of	of	ADP
cana-3463	39	21	-	-	PUNCT
cana-3463	39	22	occurrence	occurrence	NOUN
cana-3463	39	23	mapping	mapping	NOUN
cana-3463	39	24	,	,	PUNCT
cana-3463	39	25	cartesian	cartesian	ADJ
cana-3463	39	26	-	-	PUNCT
cana-3463	39	27	coordinate	coordinate	NOUN
cana-3463	39	28	properties	property	NOUN
cana-3463	39	29	,	,	PUNCT
cana-3463	39	30	primary	primary	ADJ
cana-3463	39	31	-	-	PUNCT
cana-3463	39	32	structure	structure	NOUN
cana-3463	39	33	properties	property	NOUN
cana-3463	39	34	,	,	PUNCT
cana-3463	39	35	biochemical	biochemical	ADJ
cana-3463	39	36	properties	property	NOUN
cana-3463	39	37	,	,	PUNCT
cana-3463	39	38	and	and	CCONJ
cana-3463	39	39	graphical	graphical	ADJ
cana-3463	39	40	representation	representation	NOUN
cana-3463	39	41	are	be	AUX
cana-3463	39	42	employed	employ	VERB
cana-3463	39	43	.	.	PUNCT
cana-3463	40	1	a	a	DET
cana-3463	40	2	distinctive	distinctive	ADJ
cana-3463	40	3	aspect	aspect	NOUN
cana-3463	40	4	of	of	ADP
cana-3463	40	5	this	this	DET
cana-3463	40	6	work	work	NOUN
cana-3463	40	7	is	be	AUX
cana-3463	40	8	the	the	DET
cana-3463	40	9	adoption	adoption	NOUN
cana-3463	40	10	of	of	ADP
cana-3463	40	11	the	the	DET
cana-3463	40	12	voss	voss	PROPN
cana-3463	40	13	representation	representation	NOUN
cana-3463	40	14	method	method	NOUN
cana-3463	40	15	,	,	PUNCT
cana-3463	40	16	which	which	PRON
cana-3463	40	17	transforms	transform	VERB
cana-3463	40	18	dna	dna	PROPN
cana-3463	40	19	sequences	sequence	NOUN
cana-3463	40	20	into	into	ADP
cana-3463	40	21	four	four	NUM
cana-3463	40	22	binary	binary	ADJ
cana-3463	40	23	sequences	sequence	NOUN
cana-3463	40	24	,	,	PUNCT
cana-3463	40	25	enhancing	enhance	VERB
cana-3463	40	26	their	their	PRON
cana-3463	40	27	analysis	analysis	NOUN
cana-3463	40	28	through	through	ADP
cana-3463	40	29	long	long	ADJ
cana-3463	40	30	-	-	PUNCT
cana-3463	40	31	range	range	NOUN
cana-3463	40	32	fractional	fractional	ADJ
cana-3463	40	33	correlation	correlation	NOUN
cana-3463	40	34	.	.	PUNCT
cana-3463	41	1	this	this	DET
cana-3463	41	2	numerical	numerical	ADJ
cana-3463	41	3	representation	representation	NOUN
cana-3463	41	4	is	be	AUX
cana-3463	41	5	further	far	ADV
cana-3463	41	6	transformed	transform	VERB
cana-3463	41	7	into	into	ADP
cana-3463	41	8	spectrograms	spectrogram	NOUN
cana-3463	41	9	,	,	PUNCT
cana-3463	41	10	visual	visual	ADJ
cana-3463	41	11	tools	tool	NOUN
cana-3463	41	12	that	that	PRON
cana-3463	41	13	uncover	uncover	VERB
cana-3463	41	14	hidden	hide	VERB
cana-3463	41	15	patterns	pattern	NOUN
cana-3463	41	16	within	within	ADP
cana-3463	41	17	the	the	DET
cana-3463	41	18	genetic	genetic	ADJ
cana-3463	41	19	information	information	NOUN
cana-3463	41	20	.	.	PUNCT
cana-3463	42	1	fourier	fourier	PROPN
cana-3463	42	2	transform	transform	VERB
cana-3463	42	3	techniques	technique	NOUN
cana-3463	42	4	,	,	PUNCT
cana-3463	42	5	particularly	particularly	ADV
cana-3463	42	6	the	the	DET
cana-3463	42	7	short	short	ADJ
cana-3463	42	8	-	-	PUNCT
cana-3463	42	9	time	time	NOUN
cana-3463	42	10	fourier	fourier	NOUN
cana-3463	42	11	transform	transform	NOUN
cana-3463	42	12	(	(	PUNCT
cana-3463	42	13	stft	stft	PROPN
cana-3463	42	14	)	)	PUNCT
cana-3463	42	15	,	,	PUNCT
cana-3463	42	16	play	play	VERB
cana-3463	42	17	a	a	DET
cana-3463	42	18	pivotal	pivotal	ADJ
cana-3463	42	19	role	role	NOUN
cana-3463	42	20	in	in	ADP
cana-3463	42	21	generating	generate	VERB
cana-3463	42	22	these	these	DET
cana-3463	42	23	spectrograms	spectrogram	NOUN
cana-3463	42	24	due	due	ADP
cana-3463	42	25	to	to	ADP
cana-3463	42	26	their	their	PRON
cana-3463	42	27	suitability	suitability	NOUN
cana-3463	42	28	for	for	ADP
cana-3463	42	29	this	this	DET
cana-3463	42	30	application	application	NOUN
cana-3463	42	31	.	.	PUNCT
cana-3463	43	1	at	at	ADP
cana-3463	43	2	the	the	DET
cana-3463	43	3	core	core	NOUN
cana-3463	43	4	of	of	ADP
cana-3463	43	5	the	the	DET
cana-3463	43	6	study	study	NOUN
cana-3463	43	7	is	be	AUX
cana-3463	43	8	the	the	DET
cana-3463	43	9	application	application	NOUN
cana-3463	43	10	of	of	ADP
cana-3463	43	11	cutting	cut	VERB
cana-3463	43	12	-	-	PUNCT
cana-3463	43	13	edge	edge	NOUN
cana-3463	43	14	deep	deep	ADJ
cana-3463	43	15	learning	learning	NOUN
cana-3463	43	16	models	model	NOUN
cana-3463	43	17	,	,	PUNCT
cana-3463	43	18	including	include	VERB
cana-3463	43	19	1d	1d	NUM
cana-3463	43	20	convolutional	convolutional	ADJ
cana-3463	43	21	neural	neural	ADJ
cana-3463	43	22	networks	network	NOUN
cana-3463	43	23	(	(	PUNCT
cana-3463	43	24	1dcnn	1dcnn	NUM
cana-3463	43	25	)	)	PUNCT
cana-3463	43	26	,	,	PUNCT
cana-3463	43	27	convolutional	convolutional	ADJ
cana-3463	43	28	neural	neural	ADJ
cana-3463	43	29	networks	network	NOUN
cana-3463	43	30	(	(	PUNCT
cana-3463	43	31	cnn	cnn	PROPN
cana-3463	43	32	)	)	PUNCT
cana-3463	43	33	,	,	PUNCT
cana-3463	43	34	recurrent	recurrent	ADJ
cana-3463	43	35	neural	neural	ADJ
cana-3463	43	36	networks	network	NOUN
cana-3463	43	37	(	(	PUNCT
cana-3463	43	38	rnn	rnn	PROPN
cana-3463	43	39	)	)	PUNCT
cana-3463	43	40	,	,	PUNCT
cana-3463	43	41	and	and	CCONJ
cana-3463	43	42	graph	graph	VERB
cana-3463	43	43	neural	neural	ADJ
cana-3463	43	44	networks	network	NOUN
cana-3463	43	45	(	(	PUNCT
cana-3463	43	46	gnn	gnn	PROPN
cana-3463	43	47	)	)	PUNCT
cana-3463	43	48	.	.	PUNCT
cana-3463	44	1	these	these	DET
cana-3463	44	2	models	model	NOUN
cana-3463	44	3	classify	classify	VERB
cana-3463	44	4	genes	gene	NOUN
cana-3463	44	5	as	as	ADP
cana-3463	44	6	either	either	CCONJ
cana-3463	44	7	communications	communication	NOUN
cana-3463	44	8	on	on	ADP
cana-3463	44	9	applied	apply	VERB
cana-3463	44	10	nonlinear	nonlinear	ADJ
cana-3463	44	11	analysis	analysis	NOUN
cana-3463	44	12	issn	issn	NOUN
cana-3463	44	13	:	:	PUNCT
cana-3463	44	14	1074	1074	NUM
cana-3463	44	15	-	-	PUNCT
cana-3463	44	16	133x	133x	NUM
cana-3463	44	17	vol	vol	NOUN
cana-3463	44	18	32	32	NUM
cana-3463	44	19	no	no	NOUN
cana-3463	44	20	.	.	PUNCT
cana-3463	45	1	7s	7	NOUN
cana-3463	45	2	(	(	PUNCT
cana-3463	45	3	2025	2025	NUM
cana-3463	45	4	)	)	PUNCT
cana-3463	45	5	544	544	NUM
cana-3463	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	45	7	associated	associate	VERB
cana-3463	45	8	with	with	ADP
cana-3463	45	9	breast	breast	NOUN
cana-3463	45	10	cancer	cancer	NOUN
cana-3463	45	11	or	or	CCONJ
cana-3463	45	12	not	not	PART
cana-3463	45	13	,	,	PUNCT
cana-3463	45	14	offering	offer	VERB
cana-3463	45	15	a	a	DET
cana-3463	45	16	data	data	NOUN
cana-3463	45	17	-	-	PUNCT
cana-3463	45	18	driven	drive	VERB
cana-3463	45	19	approach	approach	NOUN
cana-3463	45	20	to	to	ADP
cana-3463	45	21	gene	gene	NOUN
cana-3463	45	22	prediction	prediction	NOUN
cana-3463	45	23	.	.	PUNCT
cana-3463	46	1	the	the	DET
cana-3463	46	2	classification	classification	NOUN
cana-3463	46	3	results	result	NOUN
cana-3463	46	4	are	be	AUX
cana-3463	46	5	rigorously	rigorously	ADV
cana-3463	46	6	analyzed	analyze	VERB
cana-3463	46	7	to	to	PART
cana-3463	46	8	identify	identify	VERB
cana-3463	46	9	the	the	DET
cana-3463	46	10	most	most	ADV
cana-3463	46	11	effective	effective	ADJ
cana-3463	46	12	and	and	CCONJ
cana-3463	46	13	accurate	accurate	ADJ
cana-3463	46	14	method	method	NOUN
cana-3463	46	15	.	.	PUNCT
cana-3463	47	1	this	this	DET
cana-3463	47	2	interdisciplinary	interdisciplinary	ADJ
cana-3463	47	3	convergence	convergence	NOUN
cana-3463	47	4	of	of	ADP
cana-3463	47	5	genomics	genomic	NOUN
cana-3463	47	6	,	,	PUNCT
cana-3463	47	7	numerical	numerical	ADJ
cana-3463	47	8	analysis	analysis	NOUN
cana-3463	47	9	,	,	PUNCT
cana-3463	47	10	and	and	CCONJ
cana-3463	47	11	deep	deep	ADJ
cana-3463	47	12	learning	learning	NOUN
cana-3463	47	13	has	have	VERB
cana-3463	47	14	the	the	DET
cana-3463	47	15	potential	potential	NOUN
cana-3463	47	16	to	to	PART
cana-3463	47	17	revolutionize	revolutionize	VERB
cana-3463	47	18	early	early	ADJ
cana-3463	47	19	detection	detection	NOUN
cana-3463	47	20	and	and	CCONJ
cana-3463	47	21	intervention	intervention	NOUN
cana-3463	47	22	strategies	strategy	NOUN
cana-3463	47	23	,	,	PUNCT
cana-3463	47	24	bringing	bring	VERB
cana-3463	47	25	hope	hope	NOUN
cana-3463	47	26	to	to	ADP
cana-3463	47	27	countless	countless	ADJ
cana-3463	47	28	individuals	individual	NOUN
cana-3463	47	29	affected	affect	VERB
cana-3463	47	30	by	by	ADP
cana-3463	47	31	this	this	DET
cana-3463	47	32	formidable	formidable	ADJ
cana-3463	47	33	disease	disease	NOUN
cana-3463	47	34	.	.	PUNCT
cana-3463	48	1	by	by	ADP
cana-3463	48	2	bridging	bridge	VERB
cana-3463	48	3	biology	biology	NOUN
cana-3463	48	4	and	and	CCONJ
cana-3463	48	5	ai	ai	VERB
cana-3463	48	6	,	,	PUNCT
cana-3463	48	7	this	this	DET
cana-3463	48	8	research	research	NOUN
cana-3463	48	9	aims	aim	VERB
cana-3463	48	10	to	to	PART
cana-3463	48	11	make	make	VERB
cana-3463	48	12	a	a	DET
cana-3463	48	13	meaningful	meaningful	ADJ
cana-3463	48	14	impact	impact	NOUN
cana-3463	48	15	in	in	ADP
cana-3463	48	16	the	the	DET
cana-3463	48	17	ongoing	ongoing	ADJ
cana-3463	48	18	fight	fight	NOUN
cana-3463	48	19	against	against	ADP
cana-3463	48	20	breast	breast	NOUN
cana-3463	48	21	cancer	cancer	NOUN
cana-3463	48	22	,	,	PUNCT
cana-3463	48	23	contributing	contribute	VERB
cana-3463	48	24	to	to	ADP
cana-3463	48	25	improved	improved	ADJ
cana-3463	48	26	outcomes	outcome	NOUN
cana-3463	48	27	and	and	CCONJ
cana-3463	48	28	saving	save	VERB
cana-3463	48	29	lives	life	NOUN
cana-3463	48	30	.	.	PUNCT
cana-3463	49	1	2	2	X
cana-3463	49	2	.	.	X
cana-3463	49	3	related	relate	VERB
cana-3463	49	4	works	work	NOUN
cana-3463	49	5	women	woman	NOUN
cana-3463	49	6	account	account	VERB
cana-3463	49	7	for	for	ADP
cana-3463	49	8	the	the	DET
cana-3463	49	9	vast	vast	ADJ
cana-3463	49	10	majority	majority	NOUN
cana-3463	49	11	of	of	ADP
cana-3463	49	12	people	people	NOUN
cana-3463	49	13	diagnosed	diagnose	VERB
cana-3463	49	14	with	with	ADP
cana-3463	49	15	breast	breast	NOUN
cana-3463	49	16	cancer	cancer	NOUN
cana-3463	49	17	,	,	PUNCT
cana-3463	49	18	and	and	CCONJ
cana-3463	49	19	as	as	SCONJ
cana-3463	49	20	early	early	ADJ
cana-3463	49	21	diagnosis	diagnosis	NOUN
cana-3463	49	22	is	be	AUX
cana-3463	49	23	essential	essential	ADJ
cana-3463	49	24	for	for	ADP
cana-3463	49	25	successful	successful	ADJ
cana-3463	49	26	treatment	treatment	NOUN
cana-3463	49	27	,	,	PUNCT
cana-3463	49	28	it	it	PRON
cana-3463	49	29	is	be	AUX
cana-3463	49	30	crucial	crucial	ADJ
cana-3463	49	31	that	that	SCONJ
cana-3463	49	32	the	the	DET
cana-3463	49	33	disease	disease	NOUN
cana-3463	49	34	be	be	AUX
cana-3463	49	35	detected	detect	VERB
cana-3463	49	36	as	as	ADV
cana-3463	49	37	quickly	quickly	ADV
cana-3463	49	38	as	as	ADP
cana-3463	49	39	reasonable	reasonable	ADJ
cana-3463	49	40	.	.	PUNCT
cana-3463	50	1	in	in	ADP
cana-3463	50	2	recent	recent	ADJ
cana-3463	50	3	years	year	NOUN
cana-3463	50	4	,	,	PUNCT
cana-3463	50	5	researchers	researcher	NOUN
cana-3463	50	6	in	in	ADP
cana-3463	50	7	biomedicine	biomedicine	NOUN
cana-3463	50	8	and	and	CCONJ
cana-3463	50	9	computer	computer	NOUN
cana-3463	50	10	science	science	NOUN
cana-3463	50	11	have	have	AUX
cana-3463	50	12	begun	begin	VERB
cana-3463	50	13	employing	employ	VERB
cana-3463	50	14	machine	machine	NOUN
cana-3463	50	15	learning	learning	NOUN
cana-3463	50	16	models	model	NOUN
cana-3463	50	17	in	in	ADP
cana-3463	50	18	the	the	DET
cana-3463	50	19	fight	fight	NOUN
cana-3463	50	20	toward	toward	ADP
cana-3463	50	21	breast	breast	NOUN
cana-3463	50	22	cancer	cancer	NOUN
cana-3463	50	23	.	.	PUNCT
cana-3463	51	1	one	one	NUM
cana-3463	51	2	key	key	ADJ
cana-3463	51	3	advantage	advantage	NOUN
cana-3463	51	4	of	of	ADP
cana-3463	51	5	automating	automate	VERB
cana-3463	51	6	the	the	DET
cana-3463	51	7	process	process	NOUN
cana-3463	51	8	is	be	AUX
cana-3463	51	9	the	the	DET
cana-3463	51	10	potential	potential	ADJ
cana-3463	51	11	improvement	improvement	NOUN
cana-3463	51	12	in	in	ADP
cana-3463	51	13	precision	precision	NOUN
cana-3463	51	14	of	of	ADP
cana-3463	51	15	detection	detection	NOUN
cana-3463	51	16	,	,	PUNCT
cana-3463	51	17	which	which	PRON
cana-3463	51	18	results	result	VERB
cana-3463	51	19	from	from	ADP
cana-3463	51	20	the	the	DET
cana-3463	51	21	removal	removal	NOUN
cana-3463	51	22	of	of	ADP
cana-3463	51	23	the	the	DET
cana-3463	51	24	inner	inner	ADJ
cana-3463	51	25	subjective	subjective	ADJ
cana-3463	51	26	human	human	ADJ
cana-3463	51	27	components	component	NOUN
cana-3463	51	28	in	in	ADP
cana-3463	51	29	the	the	DET
cana-3463	51	30	process	process	NOUN
cana-3463	51	31	of	of	ADP
cana-3463	51	32	detection	detection	NOUN
cana-3463	51	33	.	.	PUNCT
cana-3463	52	1	most	most	ADJ
cana-3463	52	2	women	woman	NOUN
cana-3463	52	3	who	who	PRON
cana-3463	52	4	are	be	AUX
cana-3463	52	5	diagnosed	diagnose	VERB
cana-3463	52	6	with	with	ADP
cana-3463	52	7	breast	breast	NOUN
cana-3463	52	8	cancer	cancer	NOUN
cana-3463	52	9	will	will	AUX
cana-3463	52	10	not	not	PART
cana-3463	52	11	survive	survive	VERB
cana-3463	52	12	their	their	PRON
cana-3463	52	13	disease	disease	NOUN
cana-3463	52	14	.	.	PUNCT
cana-3463	53	1	although	although	SCONJ
cana-3463	53	2	females	female	NOUN
cana-3463	53	3	are	be	AUX
cana-3463	53	4	more	more	ADV
cana-3463	53	5	frequently	frequently	ADV
cana-3463	53	6	affected	affect	VERB
cana-3463	53	7	,	,	PUNCT
cana-3463	53	8	males	male	NOUN
cana-3463	53	9	can	can	AUX
cana-3463	53	10	also	also	ADV
cana-3463	53	11	be	be	AUX
cana-3463	53	12	afflicted	afflict	VERB
cana-3463	53	13	.	.	PUNCT
cana-3463	54	1	other	other	ADJ
cana-3463	54	2	risk	risk	NOUN
cana-3463	54	3	factors	factor	NOUN
cana-3463	54	4	for	for	ADP
cana-3463	54	5	breast	breast	NOUN
cana-3463	54	6	cancer	cancer	NOUN
cana-3463	54	7	include	include	VERB
cana-3463	54	8	being	be	AUX
cana-3463	54	9	older	old	ADJ
cana-3463	54	10	and	and	CCONJ
cana-3463	54	11	having	have	VERB
cana-3463	54	12	a	a	DET
cana-3463	54	13	family	family	NOUN
cana-3463	54	14	history	history	NOUN
cana-3463	54	15	of	of	ADP
cana-3463	54	16	the	the	DET
cana-3463	54	17	disease	disease	NOUN
cana-3463	54	18	.	.	PUNCT
cana-3463	55	1	cancerous	cancerous	ADJ
cana-3463	55	2	and	and	CCONJ
cana-3463	55	3	noncancerous	noncancerous	ADJ
cana-3463	55	4	breast	breast	NOUN
cana-3463	55	5	tumors	tumor	NOUN
cana-3463	55	6	both	both	PRON
cana-3463	55	7	occur	occur	VERB
cana-3463	55	8	in	in	ADP
cana-3463	55	9	the	the	DET
cana-3463	55	10	breast	breast	NOUN
cana-3463	55	11	.	.	PUNCT
cana-3463	56	1	employing	employ	VERB
cana-3463	56	2	a	a	DET
cana-3463	56	3	machine	machine	NOUN
cana-3463	56	4	learning	learning	NOUN
cana-3463	56	5	model	model	NOUN
cana-3463	56	6	is	be	AUX
cana-3463	56	7	proposed	propose	VERB
cana-3463	56	8	as	as	ADP
cana-3463	56	9	a	a	DET
cana-3463	56	10	means	means	NOUN
cana-3463	56	11	of	of	ADP
cana-3463	56	12	more	more	ADV
cana-3463	56	13	accurately	accurately	ADV
cana-3463	56	14	classifying	classify	VERB
cana-3463	56	15	breast	breast	NOUN
cana-3463	56	16	cancer	cancer	NOUN
cana-3463	56	17	[	[	X
cana-3463	56	18	10	10	NUM
cana-3463	56	19	]	]	PUNCT
cana-3463	56	20	.	.	PUNCT
cana-3463	57	1	using	use	VERB
cana-3463	57	2	lr	lr	NOUN
cana-3463	57	3	,	,	PUNCT
cana-3463	57	4	we	we	PRON
cana-3463	57	5	evaluated	evaluate	VERB
cana-3463	57	6	our	our	PRON
cana-3463	57	7	algorithm	algorithm	NOUN
cana-3463	57	8	's	's	PART
cana-3463	57	9	output	output	NOUN
cana-3463	57	10	to	to	ADP
cana-3463	57	11	that	that	PRON
cana-3463	57	12	of	of	ADP
cana-3463	57	13	previously	previously	ADV
cana-3463	57	14	-	-	PUNCT
cana-3463	57	15	existing	exist	VERB
cana-3463	57	16	ml	ml	NOUN
cana-3463	57	17	models	model	NOUN
cana-3463	57	18	.	.	PUNCT
cana-3463	58	1	this	this	DET
cana-3463	58	2	study	study	NOUN
cana-3463	58	3	will	will	AUX
cana-3463	58	4	show	show	VERB
cana-3463	58	5	that	that	SCONJ
cana-3463	58	6	many	many	ADJ
cana-3463	58	7	methods	method	NOUN
cana-3463	58	8	for	for	ADP
cana-3463	58	9	this	this	DET
cana-3463	58	10	breast	breast	NOUN
cana-3463	58	11	cancer	cancer	NOUN
cana-3463	58	12	categorization	categorization	NOUN
cana-3463	58	13	are	be	AUX
cana-3463	58	14	credible	credible	ADJ
cana-3463	58	15	,	,	PUNCT
cana-3463	58	16	paving	pave	VERB
cana-3463	58	17	the	the	DET
cana-3463	58	18	way	way	NOUN
cana-3463	58	19	for	for	SCONJ
cana-3463	58	20	the	the	DET
cana-3463	58	21	best	good	ADJ
cana-3463	58	22	possible	possible	ADJ
cana-3463	58	23	approach	approach	NOUN
cana-3463	58	24	to	to	PART
cana-3463	58	25	be	be	AUX
cana-3463	58	26	employed	employ	VERB
cana-3463	58	27	in	in	ADP
cana-3463	58	28	the	the	DET
cana-3463	58	29	future	future	NOUN
cana-3463	58	30	.	.	PUNCT
cana-3463	59	1	statistics	statistic	NOUN
cana-3463	59	2	from	from	ADP
cana-3463	59	3	recent	recent	ADJ
cana-3463	59	4	studies	study	NOUN
cana-3463	59	5	point	point	VERB
cana-3463	59	6	to	to	ADP
cana-3463	59	7	breast	breast	NOUN
cana-3463	59	8	cancer	cancer	NOUN
cana-3463	59	9	being	be	AUX
cana-3463	59	10	a	a	DET
cana-3463	59	11	major	major	ADJ
cana-3463	59	12	cause	cause	NOUN
cana-3463	59	13	of	of	ADP
cana-3463	59	14	death	death	NOUN
cana-3463	59	15	among	among	ADP
cana-3463	59	16	females	female	NOUN
cana-3463	59	17	.	.	PUNCT
cana-3463	60	1	the	the	DET
cana-3463	60	2	percentage	percentage	NOUN
cana-3463	60	3	of	of	ADP
cana-3463	60	4	women	woman	NOUN
cana-3463	60	5	in	in	ADP
cana-3463	60	6	india	india	PROPN
cana-3463	60	7	diagnosed	diagnose	VERB
cana-3463	60	8	with	with	ADP
cana-3463	60	9	breast	breast	NOUN
cana-3463	60	10	cancer	cancer	NOUN
cana-3463	60	11	has	have	AUX
cana-3463	60	12	risen	rise	VERB
cana-3463	60	13	by	by	ADP
cana-3463	60	14	30	30	NUM
cana-3463	60	15	%	%	NOUN
cana-3463	60	16	in	in	ADP
cana-3463	60	17	the	the	DET
cana-3463	60	18	past	past	ADJ
cana-3463	60	19	few	few	ADJ
cana-3463	60	20	years	year	NOUN
cana-3463	60	21	,	,	PUNCT
cana-3463	60	22	and	and	CCONJ
cana-3463	60	23	experts	expert	NOUN
cana-3463	60	24	predict	predict	VERB
cana-3463	60	25	that	that	SCONJ
cana-3463	60	26	this	this	DET
cana-3463	60	27	trend	trend	NOUN
cana-3463	60	28	will	will	AUX
cana-3463	60	29	only	only	ADV
cana-3463	60	30	accelerate	accelerate	VERB
cana-3463	60	31	.	.	PUNCT
cana-3463	61	1	recurrence	recurrence	NOUN
cana-3463	61	2	of	of	ADP
cana-3463	61	3	cancer	cancer	NOUN
cana-3463	61	4	is	be	AUX
cana-3463	61	5	a	a	DET
cana-3463	61	6	major	major	ADJ
cana-3463	61	7	cause	cause	NOUN
cana-3463	61	8	of	of	ADP
cana-3463	61	9	mortality	mortality	NOUN
cana-3463	61	10	,	,	PUNCT
cana-3463	61	11	although	although	SCONJ
cana-3463	61	12	early	early	ADJ
cana-3463	61	13	identification	identification	NOUN
cana-3463	61	14	,	,	PUNCT
cana-3463	61	15	categorization	categorization	NOUN
cana-3463	61	16	,	,	PUNCT
cana-3463	61	17	and	and	CCONJ
cana-3463	61	18	forecasting	forecasting	NOUN
cana-3463	61	19	can	can	AUX
cana-3463	61	20	help	help	VERB
cana-3463	61	21	save	save	VERB
cana-3463	61	22	lives	life	NOUN
cana-3463	61	23	.	.	PUNCT
cana-3463	62	1	lumps	lump	NOUN
cana-3463	62	2	or	or	CCONJ
cana-3463	62	3	extra	extra	ADJ
cana-3463	62	4	masses	masse	NOUN
cana-3463	62	5	in	in	ADP
cana-3463	62	6	the	the	DET
cana-3463	62	7	breast	breast	NOUN
cana-3463	62	8	tissue	tissue	NOUN
cana-3463	62	9	,	,	PUNCT
cana-3463	62	10	called	call	VERB
cana-3463	62	11	tumors	tumor	NOUN
cana-3463	62	12	,	,	PUNCT
cana-3463	62	13	are	be	AUX
cana-3463	62	14	the	the	DET
cana-3463	62	15	first	first	ADJ
cana-3463	62	16	visible	visible	ADJ
cana-3463	62	17	sign	sign	NOUN
cana-3463	62	18	of	of	ADP
cana-3463	62	19	breast	breast	NOUN
cana-3463	62	20	cancer	cancer	NOUN
cana-3463	62	21	,	,	PUNCT
cana-3463	62	22	which	which	PRON
cana-3463	62	23	is	be	AUX
cana-3463	62	24	formed	form	VERB
cana-3463	62	25	by	by	ADP
cana-3463	62	26	a	a	DET
cana-3463	62	27	collection	collection	NOUN
cana-3463	62	28	of	of	ADP
cana-3463	62	29	rapidly	rapidly	ADV
cana-3463	62	30	developing	develop	VERB
cana-3463	62	31	cells	cell	NOUN
cana-3463	62	32	.	.	PUNCT
cana-3463	63	1	cancerous	cancerous	ADJ
cana-3463	63	2	tumors	tumor	NOUN
cana-3463	63	3	are	be	AUX
cana-3463	63	4	called	call	VERB
cana-3463	63	5	malignant	malignant	ADJ
cana-3463	63	6	,	,	PUNCT
cana-3463	63	7	whereas	whereas	SCONJ
cana-3463	63	8	noncancerous	noncancerous	ADJ
cana-3463	63	9	ones	one	NOUN
cana-3463	63	10	are	be	AUX
cana-3463	63	11	called	call	VERB
cana-3463	63	12	benign	benign	ADJ
cana-3463	63	13	.	.	PUNCT
cana-3463	64	1	after	after	ADP
cana-3463	64	2	a	a	DET
cana-3463	64	3	time	time	NOUN
cana-3463	64	4	of	of	ADP
cana-3463	64	5	therapy	therapy	NOUN
cana-3463	64	6	and	and	CCONJ
cana-3463	64	7	recuperation	recuperation	NOUN
cana-3463	64	8	,	,	PUNCT
cana-3463	64	9	breast	breast	NOUN
cana-3463	64	10	cancer	cancer	NOUN
cana-3463	64	11	commonly	commonly	ADV
cana-3463	64	12	returns	return	VERB
cana-3463	64	13	in	in	ADP
cana-3463	64	14	patients	patient	NOUN
cana-3463	64	15	.	.	PUNCT
cana-3463	65	1	research	research	NOUN
cana-3463	65	2	on	on	ADP
cana-3463	65	3	the	the	DET
cana-3463	65	4	timing	timing	NOUN
cana-3463	65	5	and	and	CCONJ
cana-3463	65	6	influencing	influence	VERB
cana-3463	65	7	factors	factor	NOUN
cana-3463	65	8	of	of	ADP
cana-3463	65	9	cancer	cancer	NOUN
cana-3463	65	10	recurrence	recurrence	NOUN
cana-3463	65	11	can	can	AUX
cana-3463	65	12	improve	improve	VERB
cana-3463	65	13	treatment	treatment	NOUN
cana-3463	65	14	outcomes	outcome	NOUN
cana-3463	65	15	.	.	PUNCT
cana-3463	66	1	using	use	VERB
cana-3463	66	2	ml	ml	NOUN
cana-3463	66	3	models	model	NOUN
cana-3463	66	4	and	and	CCONJ
cana-3463	66	5	anns	ann	NOUN
cana-3463	66	6	for	for	ADP
cana-3463	66	7	prognosis	prognosis	NOUN
cana-3463	66	8	and	and	CCONJ
cana-3463	66	9	forecasting	forecast	VERB
cana-3463	66	10	[	[	X
cana-3463	66	11	11	11	NUM
cana-3463	66	12	]	]	PUNCT
cana-3463	66	13	can	can	AUX
cana-3463	66	14	help	help	VERB
cana-3463	66	15	you	you	PRON
cana-3463	66	16	get	get	VERB
cana-3463	66	17	there	there	ADV
cana-3463	66	18	.	.	PUNCT
cana-3463	67	1	with	with	ADP
cana-3463	67	2	the	the	DET
cana-3463	67	3	use	use	NOUN
cana-3463	67	4	of	of	ADP
cana-3463	67	5	screening	screening	NOUN
cana-3463	67	6	and	and	CCONJ
cana-3463	67	7	categorization	categorization	NOUN
cana-3463	67	8	tools	tool	NOUN
cana-3463	67	9	,	,	PUNCT
cana-3463	67	10	medical	medical	ADJ
cana-3463	67	11	personnel	personnel	NOUN
cana-3463	67	12	may	may	AUX
cana-3463	67	13	give	give	VERB
cana-3463	67	14	patients	patient	NOUN
cana-3463	67	15	more	more	ADV
cana-3463	67	16	targeted	target	VERB
cana-3463	67	17	care	care	NOUN
cana-3463	67	18	,	,	PUNCT
cana-3463	67	19	leading	lead	VERB
cana-3463	67	20	to	to	ADP
cana-3463	67	21	better	well	ADJ
cana-3463	67	22	outcomes	outcome	NOUN
cana-3463	67	23	and	and	CCONJ
cana-3463	67	24	higher	high	ADJ
cana-3463	67	25	survival	survival	NOUN
cana-3463	67	26	rates	rate	NOUN
cana-3463	67	27	.	.	PUNCT
cana-3463	68	1	through	through	ADP
cana-3463	68	2	this	this	PRON
cana-3463	68	3	in	in	ADP
cana-3463	68	4	mind	mind	NOUN
cana-3463	68	5	,	,	PUNCT
cana-3463	68	6	the	the	DET
cana-3463	68	7	goal	goal	NOUN
cana-3463	68	8	is	be	AUX
cana-3463	68	9	to	to	PART
cana-3463	68	10	improve	improve	VERB
cana-3463	68	11	the	the	DET
cana-3463	68	12	accuracy	accuracy	NOUN
cana-3463	68	13	,	,	PUNCT
cana-3463	68	14	precision	precision	NOUN
cana-3463	68	15	,	,	PUNCT
cana-3463	68	16	sensitivity	sensitivity	NOUN
cana-3463	68	17	,	,	PUNCT
cana-3463	68	18	as	as	ADV
cana-3463	68	19	well	well	ADV
cana-3463	68	20	as	as	ADP
cana-3463	68	21	specificity	specificity	NOUN
cana-3463	68	22	with	with	ADP
cana-3463	68	23	which	which	PRON
cana-3463	68	24	characteristics	characteristic	NOUN
cana-3463	68	25	are	be	AUX
cana-3463	68	26	sorted	sort	VERB
cana-3463	68	27	into	into	ADP
cana-3463	68	28	their	their	PRON
cana-3463	68	29	respective	respective	ADJ
cana-3463	68	30	categories	category	NOUN
cana-3463	68	31	.	.	PUNCT
cana-3463	69	1	because	because	SCONJ
cana-3463	69	2	of	of	ADP
cana-3463	69	3	its	its	PRON
cana-3463	69	4	efficacy	efficacy	NOUN
cana-3463	69	5	in	in	ADP
cana-3463	69	6	modeling	model	VERB
cana-3463	69	7	crucial	crucial	ADJ
cana-3463	69	8	picture	picture	NOUN
cana-3463	69	9	characteristics	characteristic	NOUN
cana-3463	69	10	from	from	ADP
cana-3463	69	11	intricate	intricate	ADJ
cana-3463	69	12	breast	breast	NOUN
cana-3463	69	13	cancer	cancer	NOUN
cana-3463	69	14	(	(	PUNCT
cana-3463	69	15	bc	bc	PROPN
cana-3463	69	16	)	)	PUNCT
cana-3463	69	17	data	datum	NOUN
cana-3463	69	18	,	,	PUNCT
cana-3463	69	19	deep	deep	ADJ
cana-3463	69	20	learning	learning	NOUN
cana-3463	69	21	(	(	PUNCT
cana-3463	69	22	ml	ml	NOUN
cana-3463	69	23	)	)	PUNCT
cana-3463	69	24	is	be	AUX
cana-3463	69	25	frequently	frequently	ADV
cana-3463	69	26	employed	employ	VERB
cana-3463	69	27	in	in	ADP
cana-3463	69	28	bc	bc	PROPN
cana-3463	69	29	pattern	pattern	NOUN
cana-3463	69	30	categorization	categorization	NOUN
cana-3463	69	31	.	.	PUNCT
cana-3463	70	1	diverse	diverse	ADJ
cana-3463	70	2	picture	picture	NOUN
cana-3463	70	3	regions	region	NOUN
cana-3463	70	4	are	be	AUX
cana-3463	70	5	specified	specify	VERB
cana-3463	70	6	by	by	ADP
cana-3463	70	7	diverse	diverse	ADJ
cana-3463	70	8	tissue	tissue	NOUN
cana-3463	70	9	types	type	NOUN
cana-3463	70	10	that	that	PRON
cana-3463	70	11	have	have	VERB
cana-3463	70	12	extremely	extremely	ADV
cana-3463	70	13	varying	vary	VERB
cana-3463	70	14	appearances	appearance	NOUN
cana-3463	70	15	in	in	ADP
cana-3463	70	16	paperwork	paperwork	NOUN
cana-3463	70	17	[	[	X
cana-3463	70	18	12	12	NUM
cana-3463	70	19	]	]	X
cana-3463	70	20	,	,	PUNCT
cana-3463	70	21	an	an	DET
cana-3463	70	22	autonomous	autonomous	ADJ
cana-3463	70	23	forecasting	forecasting	NOUN
cana-3463	70	24	and	and	CCONJ
cana-3463	70	25	detection	detection	NOUN
cana-3463	70	26	of	of	ADP
cana-3463	70	27	bc	bc	PROPN
cana-3463	70	28	using	use	VERB
cana-3463	70	29	a	a	DET
cana-3463	70	30	combination	combination	NOUN
cana-3463	70	31	of	of	ADP
cana-3463	70	32	classifiers	classifier	NOUN
cana-3463	70	33	.	.	PUNCT
cana-3463	71	1	the	the	DET
cana-3463	71	2	three	three	NUM
cana-3463	71	3	key	key	ADJ
cana-3463	71	4	contributions	contribution	NOUN
cana-3463	71	5	are	be	AUX
cana-3463	71	6	in	in	ADP
cana-3463	71	7	the	the	DET
cana-3463	71	8	areas	area	NOUN
cana-3463	71	9	of	of	ADP
cana-3463	71	10	tumor	tumor	NOUN
cana-3463	71	11	diagnosis	diagnosis	NOUN
cana-3463	71	12	,	,	PUNCT
cana-3463	71	13	picture	picture	NOUN
cana-3463	71	14	classification	classification	NOUN
cana-3463	71	15	,	,	PUNCT
cana-3463	71	16	and	and	CCONJ
cana-3463	71	17	improvised	improvise	VERB
cana-3463	71	18	live	live	ADJ
cana-3463	71	19	effectiveness	effectiveness	NOUN
cana-3463	71	20	.	.	PUNCT
cana-3463	72	1	we	we	PRON
cana-3463	72	2	test	test	VERB
cana-3463	72	3	our	our	PRON
cana-3463	72	4	method	method	NOUN
cana-3463	72	5	on	on	ADP
cana-3463	72	6	a	a	DET
cana-3463	72	7	dataset	dataset	NOUN
cana-3463	72	8	which	which	PRON
cana-3463	72	9	everyone	everyone	PRON
cana-3463	72	10	may	may	AUX
cana-3463	72	11	access	access	VERB
cana-3463	72	12	.	.	PUNCT
cana-3463	73	1	the	the	DET
cana-3463	73	2	application	application	NOUN
cana-3463	73	3	's	's	PART
cana-3463	73	4	functionality	functionality	NOUN
cana-3463	73	5	is	be	AUX
cana-3463	73	6	then	then	ADV
cana-3463	73	7	assessed	assess	VERB
cana-3463	73	8	using	use	VERB
cana-3463	73	9	improvised	improvise	VERB
cana-3463	73	10	and	and	CCONJ
cana-3463	73	11	predicted	predict	VERB
cana-3463	73	12	effectiveness	effectiveness	NOUN
cana-3463	73	13	.	.	PUNCT
cana-3463	74	1	finally	finally	ADV
cana-3463	74	2	,	,	PUNCT
cana-3463	74	3	accuracy	accuracy	NOUN
cana-3463	74	4	,	,	PUNCT
cana-3463	74	5	sensitivity	sensitivity	NOUN
cana-3463	74	6	,	,	PUNCT
cana-3463	74	7	and	and	CCONJ
cana-3463	74	8	precision	precision	NOUN
cana-3463	74	9	are	be	AUX
cana-3463	74	10	used	use	VERB
cana-3463	74	11	to	to	PART
cana-3463	74	12	assess	assess	VERB
cana-3463	74	13	the	the	DET
cana-3463	74	14	procedure	procedure	NOUN
cana-3463	74	15	's	's	PART
cana-3463	74	16	success	success	NOUN
cana-3463	74	17	.	.	PUNCT
cana-3463	75	1	breast	breast	NOUN
cana-3463	75	2	cancer	cancer	NOUN
cana-3463	75	3	is	be	AUX
cana-3463	75	4	a	a	DET
cana-3463	75	5	significant	significant	ADJ
cana-3463	75	6	health	health	NOUN
cana-3463	75	7	issue	issue	NOUN
cana-3463	75	8	for	for	ADP
cana-3463	75	9	women	woman	NOUN
cana-3463	75	10	all	all	ADV
cana-3463	75	11	over	over	ADP
cana-3463	75	12	the	the	DET
cana-3463	75	13	world	world	NOUN
cana-3463	75	14	.	.	PUNCT
cana-3463	76	1	more	more	ADJ
cana-3463	76	2	study	study	NOUN
cana-3463	76	3	is	be	AUX
cana-3463	76	4	needed	need	VERB
cana-3463	76	5	to	to	PART
cana-3463	76	6	find	find	VERB
cana-3463	76	7	solutions	solution	NOUN
cana-3463	76	8	to	to	ADP
cana-3463	76	9	the	the	DET
cana-3463	76	10	problems	problem	NOUN
cana-3463	76	11	with	with	ADP
cana-3463	76	12	conventional	conventional	ADJ
cana-3463	76	13	detection	detection	NOUN
cana-3463	76	14	methods	method	NOUN
cana-3463	76	15	and	and	CCONJ
cana-3463	76	16	to	to	PART
cana-3463	76	17	develop	develop	VERB
cana-3463	76	18	uniform	uniform	ADJ
cana-3463	76	19	approaches	approach	NOUN
cana-3463	76	20	to	to	ADP
cana-3463	76	21	gathering	gather	VERB
cana-3463	76	22	and	and	CCONJ
cana-3463	76	23	analyzing	analyze	VERB
cana-3463	76	24	breast	breast	NOUN
cana-3463	76	25	cancer	cancer	NOUN
cana-3463	76	26	data	datum	NOUN
cana-3463	76	27	from	from	ADP
cana-3463	76	28	mammograms	mammogram	NOUN
cana-3463	76	29	along	along	ADP
cana-3463	76	30	with	with	ADP
cana-3463	76	31	other	other	ADJ
cana-3463	76	32	medical	medical	ADJ
cana-3463	76	33	imaging	imaging	NOUN
cana-3463	76	34	sources	source	NOUN
cana-3463	76	35	.	.	PUNCT
cana-3463	77	1	recent	recent	ADJ
cana-3463	77	2	years	year	NOUN
cana-3463	77	3	have	have	AUX
cana-3463	77	4	seen	see	VERB
cana-3463	77	5	a	a	DET
cana-3463	77	6	flurry	flurry	NOUN
cana-3463	77	7	of	of	ADP
cana-3463	77	8	activity	activity	NOUN
cana-3463	77	9	in	in	ADP
cana-3463	77	10	the	the	DET
cana-3463	77	11	development	development	NOUN
cana-3463	77	12	and	and	CCONJ
cana-3463	77	13	evaluation	evaluation	NOUN
cana-3463	77	14	of	of	ADP
cana-3463	77	15	ml	ml	NOUN
cana-3463	77	16	models	model	NOUN
cana-3463	77	17	communications	communication	NOUN
cana-3463	77	18	on	on	ADP
cana-3463	77	19	applied	apply	VERB
cana-3463	77	20	nonlinear	nonlinear	ADJ
cana-3463	77	21	analysis	analysis	NOUN
cana-3463	77	22	issn	issn	NOUN
cana-3463	77	23	:	:	PUNCT
cana-3463	77	24	1074	1074	NUM
cana-3463	77	25	-	-	PUNCT
cana-3463	77	26	133x	133x	NUM
cana-3463	77	27	vol	vol	NOUN
cana-3463	77	28	32	32	NUM
cana-3463	77	29	no	no	NOUN
cana-3463	77	30	.	.	PUNCT
cana-3463	78	1	7s	7	NOUN
cana-3463	78	2	(	(	PUNCT
cana-3463	78	3	2025	2025	NUM
cana-3463	78	4	)	)	PUNCT
cana-3463	78	5	545	545	NUM
cana-3463	78	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	78	7	for	for	ADP
cana-3463	78	8	use	use	NOUN
cana-3463	78	9	in	in	ADP
cana-3463	78	10	breast	breast	NOUN
cana-3463	78	11	cancer	cancer	NOUN
cana-3463	78	12	diagnostics	diagnostic	NOUN
cana-3463	78	13	,	,	PUNCT
cana-3463	78	14	prognosis	prognosis	NOUN
cana-3463	78	15	,	,	PUNCT
cana-3463	78	16	and	and	CCONJ
cana-3463	78	17	treatment	treatment	NOUN
cana-3463	78	18	planning	planning	NOUN
cana-3463	78	19	.	.	PUNCT
cana-3463	79	1	it	it	PRON
cana-3463	79	2	is	be	AUX
cana-3463	79	3	possible	possible	ADJ
cana-3463	79	4	to	to	PART
cana-3463	79	5	teach	teach	VERB
cana-3463	79	6	machine	machine	NOUN
cana-3463	79	7	learning	learn	VERB
cana-3463	79	8	algorithms	algorithm	NOUN
cana-3463	79	9	to	to	PART
cana-3463	79	10	detect	detect	VERB
cana-3463	79	11	subtle	subtle	ADJ
cana-3463	79	12	changes	change	NOUN
cana-3463	79	13	in	in	ADP
cana-3463	79	14	breast	breast	NOUN
cana-3463	79	15	tissue	tissue	NOUN
cana-3463	79	16	that	that	PRON
cana-3463	79	17	may	may	AUX
cana-3463	79	18	indicate	indicate	VERB
cana-3463	79	19	cancer	cancer	NOUN
cana-3463	79	20	long	long	ADV
cana-3463	79	21	before	before	SCONJ
cana-3463	79	22	a	a	DET
cana-3463	79	23	tumor	tumor	NOUN
cana-3463	79	24	appears	appear	VERB
cana-3463	79	25	on	on	ADP
cana-3463	79	26	a	a	DET
cana-3463	79	27	mammogram	mammogram	NOUN
cana-3463	79	28	.	.	PUNCT
cana-3463	80	1	with	with	ADP
cana-3463	80	2	improved	improved	ADJ
cana-3463	80	3	sensitivity	sensitivity	NOUN
cana-3463	80	4	and	and	CCONJ
cana-3463	80	5	specificity	specificity	NOUN
cana-3463	80	6	,	,	PUNCT
cana-3463	80	7	ml	ml	NOUN
cana-3463	80	8	-	-	PUNCT
cana-3463	80	9	based	base	VERB
cana-3463	80	10	breast	breast	NOUN
cana-3463	80	11	cancer	cancer	NOUN
cana-3463	80	12	diagnostics	diagnostic	NOUN
cana-3463	80	13	provide	provide	VERB
cana-3463	80	14	a	a	DET
cana-3463	80	15	viable	viable	ADJ
cana-3463	80	16	option	option	NOUN
cana-3463	80	17	for	for	ADP
cana-3463	80	18	aiding	aid	VERB
cana-3463	80	19	physicians	physician	NOUN
cana-3463	80	20	in	in	ADP
cana-3463	80	21	clinical	clinical	ADJ
cana-3463	80	22	decision	decision	NOUN
cana-3463	80	23	-	-	PUNCT
cana-3463	80	24	making	making	NOUN
cana-3463	80	25	[	[	X
cana-3463	80	26	13	13	NUM
cana-3463	80	27	]	]	PUNCT
cana-3463	80	28	.	.	PUNCT
cana-3463	81	1	more	more	ADJ
cana-3463	81	2	research	research	NOUN
cana-3463	81	3	is	be	AUX
cana-3463	81	4	needed	need	VERB
cana-3463	81	5	to	to	PART
cana-3463	81	6	address	address	VERB
cana-3463	81	7	the	the	DET
cana-3463	81	8	challenges	challenge	NOUN
cana-3463	81	9	and	and	CCONJ
cana-3463	81	10	limits	limit	NOUN
cana-3463	81	11	of	of	ADP
cana-3463	81	12	ml	ml	NOUN
cana-3463	81	13	in	in	ADP
cana-3463	81	14	breast	breast	NOUN
cana-3463	81	15	cancer	cancer	NOUN
cana-3463	81	16	diagnosis	diagnosis	NOUN
cana-3463	81	17	and	and	CCONJ
cana-3463	81	18	to	to	PART
cana-3463	81	19	develop	develop	VERB
cana-3463	81	20	consistent	consistent	ADJ
cana-3463	81	21	procedures	procedure	NOUN
cana-3463	81	22	for	for	ADP
cana-3463	81	23	data	data	NOUN
cana-3463	81	24	collecting	collecting	NOUN
cana-3463	81	25	and	and	CCONJ
cana-3463	81	26	analysis	analysis	NOUN
cana-3463	81	27	,	,	PUNCT
cana-3463	81	28	as	as	SCONJ
cana-3463	81	29	suggested	suggest	VERB
cana-3463	81	30	by	by	ADP
cana-3463	81	31	the	the	DET
cana-3463	81	32	results	result	NOUN
cana-3463	81	33	.	.	PUNCT
cana-3463	82	1	mammography	mammography	NOUN
cana-3463	82	2	is	be	AUX
cana-3463	82	3	a	a	DET
cana-3463	82	4	screening	screening	NOUN
cana-3463	82	5	method	method	NOUN
cana-3463	82	6	for	for	ADP
cana-3463	82	7	breast	breast	NOUN
cana-3463	82	8	cancer	cancer	NOUN
cana-3463	82	9	that	that	PRON
cana-3463	82	10	has	have	AUX
cana-3463	82	11	been	be	AUX
cana-3463	82	12	shown	show	VERB
cana-3463	82	13	to	to	PART
cana-3463	82	14	decrease	decrease	VERB
cana-3463	82	15	mortality	mortality	NOUN
cana-3463	82	16	rates	rate	NOUN
cana-3463	82	17	in	in	ADP
cana-3463	82	18	certain	certain	ADJ
cana-3463	82	19	situations	situation	NOUN
cana-3463	82	20	.	.	PUNCT
cana-3463	83	1	however	however	ADV
cana-3463	83	2	,	,	PUNCT
cana-3463	83	3	due	due	ADP
cana-3463	83	4	to	to	ADP
cana-3463	83	5	the	the	DET
cana-3463	83	6	complexity	complexity	NOUN
cana-3463	83	7	of	of	ADP
cana-3463	83	8	the	the	DET
cana-3463	83	9	information	information	NOUN
cana-3463	83	10	presented	present	VERB
cana-3463	83	11	,	,	PUNCT
cana-3463	83	12	mammograms	mammogram	NOUN
cana-3463	83	13	are	be	AUX
cana-3463	83	14	not	not	PART
cana-3463	83	15	always	always	ADV
cana-3463	83	16	reliable	reliable	ADJ
cana-3463	83	17	for	for	ADP
cana-3463	83	18	detecting	detect	VERB
cana-3463	83	19	breast	breast	NOUN
cana-3463	83	20	cancer	cancer	NOUN
cana-3463	83	21	.	.	PUNCT
cana-3463	84	1	consequently	consequently	ADV
cana-3463	84	2	,	,	PUNCT
cana-3463	84	3	mammography	mammography	NOUN
cana-3463	84	4	's	's	PART
cana-3463	84	5	ability	ability	NOUN
cana-3463	84	6	to	to	PART
cana-3463	84	7	detect	detect	VERB
cana-3463	84	8	cancers	cancer	NOUN
cana-3463	84	9	in	in	ADP
cana-3463	84	10	their	their	PRON
cana-3463	84	11	earliest	early	ADJ
cana-3463	84	12	stages	stage	NOUN
cana-3463	84	13	is	be	AUX
cana-3463	84	14	crucial	crucial	ADJ
cana-3463	84	15	to	to	ADP
cana-3463	84	16	improving	improve	VERB
cana-3463	84	17	patients	patient	NOUN
cana-3463	84	18	'	'	PART
cana-3463	84	19	chances	chance	NOUN
cana-3463	84	20	of	of	ADP
cana-3463	84	21	survival	survival	NOUN
cana-3463	84	22	.	.	PUNCT
cana-3463	85	1	using	use	VERB
cana-3463	85	2	deep	deep	ADJ
cana-3463	85	3	neural	neural	ADJ
cana-3463	85	4	networks	network	NOUN
cana-3463	85	5	and	and	CCONJ
cana-3463	85	6	machine	machine	NOUN
cana-3463	85	7	learning	learning	NOUN
cana-3463	85	8	(	(	PUNCT
cana-3463	85	9	ml	ml	NOUN
cana-3463	85	10	)	)	PUNCT
cana-3463	85	11	designs	design	NOUN
cana-3463	85	12	,	,	PUNCT
cana-3463	85	13	article	article	NOUN
cana-3463	85	14	[	[	X
cana-3463	85	15	14	14	NUM
cana-3463	85	16	]	]	PUNCT
cana-3463	85	17	will	will	AUX
cana-3463	85	18	provide	provide	VERB
cana-3463	85	19	a	a	DET
cana-3463	85	20	new	new	ADJ
cana-3463	85	21	method	method	NOUN
cana-3463	85	22	for	for	ADP
cana-3463	85	23	reliably	reliably	ADV
cana-3463	85	24	identifying	identify	VERB
cana-3463	85	25	breast	breast	NOUN
cana-3463	85	26	cancer	cancer	NOUN
cana-3463	85	27	.	.	PUNCT
cana-3463	86	1	first	first	ADV
cana-3463	86	2	,	,	PUNCT
cana-3463	86	3	gather	gather	VERB
cana-3463	86	4	data	datum	NOUN
cana-3463	86	5	and	and	CCONJ
cana-3463	86	6	prepare	prepare	VERB
cana-3463	86	7	images	image	NOUN
cana-3463	86	8	,	,	PUNCT
cana-3463	86	9	then	then	ADV
cana-3463	86	10	use	use	VERB
cana-3463	86	11	the	the	DET
cana-3463	86	12	visual	visual	ADJ
cana-3463	86	13	geometry	geometry	NOUN
cana-3463	86	14	group	group	NOUN
cana-3463	86	15	's	's	PART
cana-3463	86	16	vgg-19	vgg-19	NUM
cana-3463	86	17	feature	feature	NOUN
cana-3463	86	18	extraction	extraction	NOUN
cana-3463	86	19	algorithm	algorithm	NOUN
cana-3463	86	20	and	and	CCONJ
cana-3463	86	21	a	a	DET
cana-3463	86	22	convolution	convolution	NOUN
cana-3463	86	23	neural	neural	ADJ
cana-3463	86	24	network	network	NOUN
cana-3463	86	25	to	to	PART
cana-3463	86	26	analyze	analyze	VERB
cana-3463	86	27	the	the	DET
cana-3463	86	28	data	datum	NOUN
cana-3463	86	29	.	.	PUNCT
cana-3463	87	1	support	support	NOUN
cana-3463	87	2	vector	vector	NOUN
cana-3463	87	3	machine	machine	NOUN
cana-3463	87	4	(	(	PUNCT
cana-3463	87	5	svm	svm	PROPN
cana-3463	87	6	)	)	PUNCT
cana-3463	87	7	,	,	PUNCT
cana-3463	87	8	neural	neural	ADJ
cana-3463	87	9	autoregressive	autoregressive	ADJ
cana-3463	87	10	distribution	distribution	NOUN
cana-3463	87	11	estimation	estimation	NOUN
cana-3463	87	12	(	(	PUNCT
cana-3463	87	13	nade	nade	NOUN
cana-3463	87	14	)	)	PUNCT
cana-3463	87	15	,	,	PUNCT
cana-3463	87	16	and	and	CCONJ
cana-3463	87	17	a	a	DET
cana-3463	87	18	mix	mix	NOUN
cana-3463	87	19	of	of	ADP
cana-3463	87	20	svm	svm	NOUN
cana-3463	87	21	and	and	CCONJ
cana-3463	87	22	nade	nade	NOUN
cana-3463	87	23	algorithms	algorithm	NOUN
cana-3463	87	24	of	of	ADP
cana-3463	87	25	ml	ml	NOUN
cana-3463	87	26	are	be	AUX
cana-3463	87	27	employed	employ	VERB
cana-3463	87	28	in	in	ADP
cana-3463	87	29	the	the	DET
cana-3463	87	30	categorization	categorization	NOUN
cana-3463	87	31	procedure	procedure	NOUN
cana-3463	87	32	of	of	ADP
cana-3463	87	33	the	the	DET
cana-3463	87	34	suggested	suggest	VERB
cana-3463	87	35	breast	breast	NOUN
cana-3463	87	36	cancer	cancer	NOUN
cana-3463	87	37	monitoring	monitoring	NOUN
cana-3463	87	38	system	system	NOUN
cana-3463	87	39	's	's	PART
cana-3463	87	40	architecture	architecture	NOUN
cana-3463	87	41	.	.	PUNCT
cana-3463	88	1	based	base	VERB
cana-3463	88	2	on	on	ADP
cana-3463	88	3	the	the	DET
cana-3463	88	4	experimental	experimental	ADJ
cana-3463	88	5	findings	finding	NOUN
cana-3463	88	6	,	,	PUNCT
cana-3463	88	7	the	the	DET
cana-3463	88	8	aforementioned	aforementioned	ADJ
cana-3463	88	9	suggested	suggest	VERB
cana-3463	88	10	approach	approach	NOUN
cana-3463	88	11	is	be	AUX
cana-3463	88	12	both	both	CCONJ
cana-3463	88	13	practical	practical	ADJ
cana-3463	88	14	and	and	CCONJ
cana-3463	88	15	effective	effective	ADJ
cana-3463	88	16	for	for	ADP
cana-3463	88	17	binary	binary	ADJ
cana-3463	88	18	classification	classification	NOUN
cana-3463	88	19	.	.	PUNCT
cana-3463	89	1	utilizing	utilize	VERB
cana-3463	89	2	cutting	cutting	NOUN
cana-3463	89	3	-	-	PUNCT
cana-3463	89	4	edge	edge	NOUN
cana-3463	89	5	computational	computational	ADJ
cana-3463	89	6	methods	method	NOUN
cana-3463	89	7	to	to	PART
cana-3463	89	8	examine	examine	VERB
cana-3463	89	9	genomic	genomic	ADJ
cana-3463	89	10	data	datum	NOUN
cana-3463	89	11	for	for	ADP
cana-3463	89	12	early	early	ADJ
cana-3463	89	13	cancer	cancer	NOUN
cana-3463	89	14	detection	detection	NOUN
cana-3463	89	15	and	and	CCONJ
cana-3463	89	16	personalized	personalized	ADJ
cana-3463	89	17	medication	medication	NOUN
cana-3463	89	18	has	have	AUX
cana-3463	89	19	garnered	garner	VERB
cana-3463	89	20	increasing	increase	VERB
cana-3463	89	21	interest	interest	NOUN
cana-3463	89	22	,	,	PUNCT
cana-3463	89	23	according	accord	VERB
cana-3463	89	24	to	to	ADP
cana-3463	89	25	a	a	DET
cana-3463	89	26	literature	literature	NOUN
cana-3463	89	27	review	review	NOUN
cana-3463	89	28	on	on	ADP
cana-3463	89	29	automatic	automatic	ADJ
cana-3463	89	30	breast	breast	NOUN
cana-3463	89	31	cancer	cancer	NOUN
cana-3463	89	32	gene	gene	NOUN
cana-3463	89	33	recognition	recognition	NOUN
cana-3463	89	34	utilizing	utilize	VERB
cana-3463	89	35	spectrogram	spectrogram	NOUN
cana-3463	89	36	images	image	NOUN
cana-3463	89	37	of	of	ADP
cana-3463	89	38	digitized	digitize	VERB
cana-3463	89	39	dna	dna	PROPN
cana-3463	89	40	sequences	sequence	NOUN
cana-3463	89	41	.	.	PUNCT
cana-3463	90	1	using	use	VERB
cana-3463	90	2	deep	deep	ADJ
cana-3463	90	3	learning	learning	NOUN
cana-3463	90	4	techniques	technique	NOUN
cana-3463	90	5	for	for	ADP
cana-3463	90	6	the	the	DET
cana-3463	90	7	identification	identification	NOUN
cana-3463	90	8	of	of	ADP
cana-3463	90	9	copy	copy	NOUN
cana-3463	90	10	number	number	NOUN
cana-3463	90	11	variations	variation	NOUN
cana-3463	90	12	(	(	PUNCT
cana-3463	90	13	cnvs	cnvs	NOUN
cana-3463	90	14	)	)	PUNCT
cana-3463	90	15	from	from	ADP
cana-3463	90	16	sequencing	sequence	VERB
cana-3463	90	17	data	datum	NOUN
cana-3463	90	18	,	,	PUNCT
cana-3463	90	19	which	which	PRON
cana-3463	90	20	can	can	AUX
cana-3463	90	21	be	be	AUX
cana-3463	90	22	crucial	crucial	ADJ
cana-3463	90	23	in	in	ADP
cana-3463	90	24	understanding	understand	VERB
cana-3463	90	25	genetic	genetic	ADJ
cana-3463	90	26	variations	variation	NOUN
cana-3463	90	27	associated	associate	VERB
cana-3463	90	28	with	with	ADP
cana-3463	90	29	breast	breast	NOUN
cana-3463	90	30	cancer[23	cancer[23	NOUN
cana-3463	90	31	]	]	PUNCT
cana-3463	90	32	.	.	PUNCT
cana-3463	91	1	li	li	PROPN
cana-3463	91	2	et	et	PROPN
cana-3463	91	3	al	al	PROPN
cana-3463	91	4	.	.	PROPN
cana-3463	92	1	propose	propose	VERB
cana-3463	92	2	an	an	DET
cana-3463	92	3	integrative	integrative	ADJ
cana-3463	92	4	deep	deep	ADJ
cana-3463	92	5	learning	learning	NOUN
cana-3463	92	6	approach	approach	NOUN
cana-3463	92	7	to	to	PART
cana-3463	92	8	predict	predict	VERB
cana-3463	92	9	breast	breast	NOUN
cana-3463	92	10	cancer	cancer	NOUN
cana-3463	92	11	molecular	molecular	ADJ
cana-3463	92	12	subtypes	subtype	NOUN
cana-3463	92	13	from	from	ADP
cana-3463	92	14	genomic	genomic	ADJ
cana-3463	92	15	data	datum	NOUN
cana-3463	92	16	.	.	PUNCT
cana-3463	93	1	the	the	DET
cana-3463	93	2	study	study	NOUN
cana-3463	93	3	demonstrates	demonstrate	VERB
cana-3463	93	4	the	the	DET
cana-3463	93	5	potential	potential	NOUN
cana-3463	93	6	of	of	ADP
cana-3463	93	7	deep	deep	ADJ
cana-3463	93	8	learning	learning	NOUN
cana-3463	93	9	models	model	NOUN
cana-3463	93	10	to	to	PART
cana-3463	93	11	classify	classify	VERB
cana-3463	93	12	breast	breast	NOUN
cana-3463	93	13	cancer	cancer	NOUN
cana-3463	93	14	subtypes	subtype	NOUN
cana-3463	93	15	based	base	VERB
cana-3463	93	16	on	on	ADP
cana-3463	93	17	genomic	genomic	ADJ
cana-3463	93	18	information[24	information[24	NOUN
cana-3463	93	19	]	]	PUNCT
cana-3463	93	20	.	.	PUNCT
cana-3463	94	1	this	this	DET
cana-3463	94	2	seminal	seminal	ADJ
cana-3463	94	3	paper	paper	NOUN
cana-3463	94	4	reports	report	NOUN
cana-3463	94	5	findings	finding	NOUN
cana-3463	94	6	from	from	ADP
cana-3463	94	7	the	the	DET
cana-3463	94	8	cancer	cancer	NOUN
cana-3463	94	9	genome	genome	NOUN
cana-3463	94	10	atlas	atlas	PROPN
cana-3463	94	11	(	(	PUNCT
cana-3463	94	12	tcga	tcga	PROPN
cana-3463	94	13	)	)	PUNCT
cana-3463	94	14	project	project	NOUN
cana-3463	94	15	,	,	PUNCT
cana-3463	94	16	where	where	SCONJ
cana-3463	94	17	next	next	ADJ
cana-3463	94	18	-	-	PUNCT
cana-3463	94	19	generation	generation	NOUN
cana-3463	94	20	sequencing	sequence	VERB
cana-3463	94	21	data	datum	NOUN
cana-3463	94	22	were	be	AUX
cana-3463	94	23	used	use	VERB
cana-3463	94	24	to	to	PART
cana-3463	94	25	identify	identify	VERB
cana-3463	94	26	genetic	genetic	ADJ
cana-3463	94	27	alterations	alteration	NOUN
cana-3463	94	28	and	and	CCONJ
cana-3463	94	29	genomic	genomic	NOUN
cana-3463	94	30	features	feature	NOUN
cana-3463	94	31	associated	associate	VERB
cana-3463	94	32	with	with	ADP
cana-3463	94	33	breast	breast	NOUN
cana-3463	94	34	cancer[25].dna	cancer[25].dna	ADV
cana-3463	94	35	methylation	methylation	NOUN
cana-3463	94	36	patterns	pattern	NOUN
cana-3463	94	37	play	play	VERB
cana-3463	94	38	a	a	DET
cana-3463	94	39	crucial	crucial	ADJ
cana-3463	94	40	role	role	NOUN
cana-3463	94	41	in	in	ADP
cana-3463	94	42	cancer	cancer	NOUN
cana-3463	94	43	development	development	NOUN
cana-3463	94	44	.	.	PUNCT
cana-3463	95	1	wu	wu	PROPN
cana-3463	95	2	et	et	PROPN
cana-3463	95	3	al	al	PROPN
cana-3463	95	4	.	.	PROPN
cana-3463	96	1	present	present	ADJ
cana-3463	96	2	deepdrm	deepdrm	NOUN
cana-3463	96	3	,	,	PUNCT
cana-3463	96	4	a	a	DET
cana-3463	96	5	deep	deep	ADJ
cana-3463	96	6	learning	learning	NOUN
cana-3463	96	7	framework	framework	NOUN
cana-3463	96	8	for	for	ADP
cana-3463	96	9	predicting	predict	VERB
cana-3463	96	10	dna	dna	PROPN
cana-3463	96	11	methylation	methylation	NOUN
cana-3463	96	12	patterns	pattern	NOUN
cana-3463	96	13	,	,	PUNCT
cana-3463	96	14	which	which	PRON
cana-3463	96	15	could	could	AUX
cana-3463	96	16	be	be	AUX
cana-3463	96	17	applied	apply	VERB
cana-3463	96	18	to	to	ADP
cana-3463	96	19	breast	breast	NOUN
cana-3463	96	20	cancer	cancer	NOUN
cana-3463	96	21	research[26	research[26	NOUN
cana-3463	96	22	]	]	PUNCT
cana-3463	96	23	.	.	PUNCT
cana-3463	97	1	curtis	curtis	PROPN
cana-3463	97	2	et	et	PROPN
cana-3463	97	3	al	al	PROPN
cana-3463	97	4	.	.	PROPN
cana-3463	97	5	investigate	investigate	VERB
cana-3463	97	6	the	the	DET
cana-3463	97	7	relationship	relationship	NOUN
cana-3463	97	8	between	between	ADP
cana-3463	97	9	dna	dna	PROPN
cana-3463	97	10	copy	copy	VERB
cana-3463	97	11	number	number	NOUN
cana-3463	97	12	variations	variation	NOUN
cana-3463	97	13	and	and	CCONJ
cana-3463	97	14	gene	gene	NOUN
cana-3463	97	15	expression	expression	NOUN
cana-3463	97	16	in	in	ADP
cana-3463	97	17	breast	breast	NOUN
cana-3463	97	18	cancer	cancer	NOUN
cana-3463	97	19	.	.	PUNCT
cana-3463	98	1	their	their	PRON
cana-3463	98	2	work	work	NOUN
cana-3463	98	3	emphasizes	emphasize	VERB
cana-3463	98	4	the	the	DET
cana-3463	98	5	importance	importance	NOUN
cana-3463	98	6	of	of	ADP
cana-3463	98	7	integrating	integrate	VERB
cana-3463	98	8	genomic	genomic	ADJ
cana-3463	98	9	data	datum	NOUN
cana-3463	98	10	types	type	NOUN
cana-3463	98	11	for	for	ADP
cana-3463	98	12	understanding	understand	VERB
cana-3463	98	13	the	the	DET
cana-3463	98	14	molecular	molecular	ADJ
cana-3463	98	15	mechanisms	mechanism	NOUN
cana-3463	98	16	of	of	ADP
cana-3463	98	17	cancer	cancer	NOUN
cana-3463	98	18	[	[	X
cana-3463	98	19	27].this	27].this	PROPN
cana-3463	98	20	study	study	NOUN
cana-3463	98	21	explores	explore	VERB
cana-3463	98	22	the	the	DET
cana-3463	98	23	use	use	NOUN
cana-3463	98	24	of	of	ADP
cana-3463	98	25	deep	deep	ADJ
cana-3463	98	26	learning	learning	NOUN
cana-3463	98	27	techniques	technique	NOUN
cana-3463	98	28	to	to	PART
cana-3463	98	29	classify	classify	VERB
cana-3463	98	30	breast	breast	NOUN
cana-3463	98	31	cancer	cancer	NOUN
cana-3463	98	32	samples	sample	NOUN
cana-3463	98	33	based	base	VERB
cana-3463	98	34	on	on	ADP
cana-3463	98	35	dna	dna	PROPN
cana-3463	98	36	methylation	methylation	NOUN
cana-3463	98	37	sequencing	sequence	VERB
cana-3463	98	38	data	datum	NOUN
cana-3463	98	39	.	.	PUNCT
cana-3463	99	1	the	the	DET
cana-3463	99	2	research	research	NOUN
cana-3463	99	3	highlights	highlight	VERB
cana-3463	99	4	the	the	DET
cana-3463	99	5	potential	potential	NOUN
cana-3463	99	6	of	of	ADP
cana-3463	99	7	deep	deep	ADJ
cana-3463	99	8	learning	learning	NOUN
cana-3463	99	9	for	for	ADP
cana-3463	99	10	epigenomic	epigenomic	ADJ
cana-3463	99	11	analysis[28	analysis[28	PROPN
cana-3463	99	12	]	]	PUNCT
cana-3463	99	13	.	.	PUNCT
cana-3463	100	1	xie	xie	PROPN
cana-3463	100	2	et	et	PROPN
cana-3463	100	3	al	al	PROPN
cana-3463	100	4	.	.	PROPN
cana-3463	100	5	introduce	introduce	VERB
cana-3463	100	6	cnv	cnv	PROPN
cana-3463	100	7	-	-	PUNCT
cana-3463	100	8	seq	seq	NOUN
cana-3463	100	9	,	,	PUNCT
cana-3463	100	10	a	a	DET
cana-3463	100	11	method	method	NOUN
cana-3463	100	12	for	for	ADP
cana-3463	100	13	detecting	detect	VERB
cana-3463	100	14	copy	copy	NOUN
cana-3463	100	15	number	number	NOUN
cana-3463	100	16	variations	variation	NOUN
cana-3463	100	17	using	use	VERB
cana-3463	100	18	high	high	ADJ
cana-3463	100	19	-	-	PUNCT
cana-3463	100	20	throughput	throughput	NOUN
cana-3463	100	21	sequencing	sequence	VERB
cana-3463	100	22	data	datum	NOUN
cana-3463	100	23	.	.	PUNCT
cana-3463	101	1	this	this	DET
cana-3463	101	2	approach	approach	NOUN
cana-3463	101	3	has	have	VERB
cana-3463	101	4	relevance	relevance	NOUN
cana-3463	101	5	in	in	ADP
cana-3463	101	6	identifying	identify	VERB
cana-3463	101	7	genetic	genetic	ADJ
cana-3463	101	8	alterations	alteration	NOUN
cana-3463	101	9	associated	associate	VERB
cana-3463	101	10	with	with	ADP
cana-3463	101	11	breast	breast	NOUN
cana-3463	101	12	cancer	cancer	NOUN
cana-3463	101	13	[	[	X
cana-3463	101	14	29	29	NUM
cana-3463	101	15	]	]	PUNCT
cana-3463	101	16	.	.	PUNCT
cana-3463	102	1	this	this	DET
cana-3463	102	2	review	review	NOUN
cana-3463	102	3	article	article	NOUN
cana-3463	102	4	discusses	discuss	VERB
cana-3463	102	5	the	the	DET
cana-3463	102	6	challenges	challenge	NOUN
cana-3463	102	7	and	and	CCONJ
cana-3463	102	8	opportunities	opportunity	NOUN
cana-3463	102	9	in	in	ADP
cana-3463	102	10	identifying	identify	VERB
cana-3463	102	11	genetic	genetic	ADJ
cana-3463	102	12	mutations	mutation	NOUN
cana-3463	102	13	associated	associate	VERB
cana-3463	102	14	with	with	ADP
cana-3463	102	15	cancer	cancer	NOUN
cana-3463	102	16	,	,	PUNCT
cana-3463	102	17	including	include	VERB
cana-3463	102	18	breast	breast	NOUN
cana-3463	102	19	cancer	cancer	NOUN
cana-3463	102	20	,	,	PUNCT
cana-3463	102	21	through	through	ADP
cana-3463	102	22	genomic	genomic	ADJ
cana-3463	102	23	sequencing	sequencing	NOUN
cana-3463	102	24	and	and	CCONJ
cana-3463	102	25	bioinformatics	bioinformatics	NOUN
cana-3463	102	26	analysis	analysis	NOUN
cana-3463	102	27	[	[	X
cana-3463	102	28	30].ching	30].ching	PROPN
cana-3463	102	29	et	et	NOUN
cana-3463	102	30	al	al	PROPN
cana-3463	102	31	.	.	PROPN
cana-3463	102	32	provide	provide	VERB
cana-3463	102	33	an	an	DET
cana-3463	102	34	overview	overview	NOUN
cana-3463	102	35	of	of	ADP
cana-3463	102	36	machine	machine	NOUN
cana-3463	102	37	-	-	PUNCT
cana-3463	102	38	learning	learn	VERB
cana-3463	102	39	techniques	technique	NOUN
cana-3463	102	40	applied	apply	VERB
cana-3463	102	41	to	to	ADP
cana-3463	102	42	various	various	ADJ
cana-3463	102	43	biological	biological	ADJ
cana-3463	102	44	and	and	CCONJ
cana-3463	102	45	medical	medical	ADJ
cana-3463	102	46	data	datum	NOUN
cana-3463	102	47	types	type	NOUN
cana-3463	102	48	,	,	PUNCT
cana-3463	102	49	including	include	VERB
cana-3463	102	50	genomics	genomic	NOUN
cana-3463	102	51	.	.	PUNCT
cana-3463	103	1	the	the	DET
cana-3463	103	2	paper	paper	NOUN
cana-3463	103	3	discusses	discuss	VERB
cana-3463	103	4	the	the	DET
cana-3463	103	5	potential	potential	NOUN
cana-3463	103	6	for	for	ADP
cana-3463	103	7	integrating	integrate	VERB
cana-3463	103	8	multiple	multiple	ADJ
cana-3463	103	9	data	datum	NOUN
cana-3463	103	10	sources	source	NOUN
cana-3463	103	11	,	,	PUNCT
cana-3463	103	12	including	include	VERB
cana-3463	103	13	dna	dna	PROPN
cana-3463	103	14	sequences	sequence	NOUN
cana-3463	103	15	and	and	CCONJ
cana-3463	103	16	gene	gene	NOUN
cana-3463	103	17	expression	expression	NOUN
cana-3463	103	18	,	,	PUNCT
cana-3463	103	19	in	in	ADP
cana-3463	103	20	cancer	cancer	NOUN
cana-3463	103	21	research[31	research[31	NOUN
cana-3463	103	22	]	]	PUNCT
cana-3463	103	23	.	.	PUNCT
cana-3463	104	1	although	although	SCONJ
cana-3463	104	2	focused	focus	VERB
cana-3463	104	3	on	on	ADP
cana-3463	104	4	ovarian	ovarian	ADJ
cana-3463	104	5	cancer	cancer	NOUN
cana-3463	104	6	,	,	PUNCT
cana-3463	104	7	this	this	DET
cana-3463	104	8	study	study	NOUN
cana-3463	104	9	demonstrates	demonstrate	VERB
cana-3463	104	10	the	the	DET
cana-3463	104	11	importance	importance	NOUN
cana-3463	104	12	of	of	ADP
cana-3463	104	13	genomic	genomic	ADJ
cana-3463	104	14	and	and	CCONJ
cana-3463	104	15	epigenomic	epigenomic	ADJ
cana-3463	104	16	signatures	signature	NOUN
cana-3463	104	17	in	in	ADP
cana-3463	104	18	understanding	understand	VERB
cana-3463	104	19	drug	drug	NOUN
cana-3463	104	20	resistance	resistance	NOUN
cana-3463	104	21	and	and	CCONJ
cana-3463	104	22	suggests	suggest	VERB
cana-3463	104	23	potential	potential	ADJ
cana-3463	104	24	applications	application	NOUN
cana-3463	104	25	in	in	ADP
cana-3463	104	26	breast	breast	NOUN
cana-3463	104	27	cancer	cancer	NOUN
cana-3463	104	28	research	research	NOUN
cana-3463	104	29	[	[	X
cana-3463	104	30	32	32	NUM
cana-3463	104	31	]	]	PUNCT
cana-3463	104	32	.	.	PUNCT
cana-3463	105	1	communications	communication	NOUN
cana-3463	105	2	on	on	ADP
cana-3463	105	3	applied	apply	VERB
cana-3463	105	4	nonlinear	nonlinear	ADJ
cana-3463	105	5	analysis	analysis	NOUN
cana-3463	105	6	issn	issn	NOUN
cana-3463	105	7	:	:	PUNCT
cana-3463	105	8	1074	1074	NUM
cana-3463	105	9	-	-	PUNCT
cana-3463	105	10	133x	133x	NUM
cana-3463	105	11	vol	vol	NOUN
cana-3463	105	12	32	32	NUM
cana-3463	105	13	no	no	NOUN
cana-3463	105	14	.	.	PUNCT
cana-3463	106	1	7s	7	NOUN
cana-3463	106	2	(	(	PUNCT
cana-3463	106	3	2025	2025	NUM
cana-3463	106	4	)	)	PUNCT
cana-3463	106	5	546	546	NUM
cana-3463	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	106	7	dna	dna	PROPN
cana-3463	106	8	sequences	sequence	NOUN
cana-3463	106	9	are	be	AUX
cana-3463	106	10	been	be	AUX
cana-3463	106	11	gathered	gather	VERB
cana-3463	106	12	from	from	ADP
cana-3463	106	13	the	the	DET
cana-3463	106	14	ncbi	ncbi	PROPN
cana-3463	106	15	genebank	genebank	PROPN
cana-3463	106	16	and	and	CCONJ
cana-3463	106	17	performed	perform	VERB
cana-3463	106	18	entropy	entropy	NOUN
cana-3463	106	19	to	to	PART
cana-3463	106	20	convert	convert	VERB
cana-3463	106	21	dna	dna	PROPN
cana-3463	106	22	sequences	sequence	NOUN
cana-3463	106	23	into	into	ADP
cana-3463	106	24	numerical	numerical	ADJ
cana-3463	106	25	values	value	NOUN
cana-3463	106	26	.	.	PUNCT
cana-3463	107	1	the	the	DET
cana-3463	107	2	numerical	numerical	ADJ
cana-3463	107	3	values	value	NOUN
cana-3463	107	4	are	be	AUX
cana-3463	107	5	then	then	ADV
cana-3463	107	6	converted	convert	VERB
cana-3463	107	7	into	into	ADP
cana-3463	107	8	a	a	DET
cana-3463	107	9	spectrogram	spectrogram	NOUN
cana-3463	107	10	.	.	PUNCT
cana-3463	108	1	apply	apply	VERB
cana-3463	108	2	machine	machine	NOUN
cana-3463	108	3	learning	learning	NOUN
cana-3463	108	4	and	and	CCONJ
cana-3463	108	5	deep	deep	ADJ
cana-3463	108	6	learning	learning	NOUN
cana-3463	108	7	techniques	technique	NOUN
cana-3463	108	8	to	to	PART
cana-3463	108	9	predict	predict	VERB
cana-3463	108	10	cancer	cancer	NOUN
cana-3463	108	11	or	or	CCONJ
cana-3463	108	12	not	not	PART
cana-3463	108	13	[	[	X
cana-3463	108	14	21	21	NUM
cana-3463	108	15	]	]	SYM
cana-3463	108	16	3	3	NUM
cana-3463	108	17	.	.	X
cana-3463	108	18	methodology	methodology	NOUN
cana-3463	108	19	dataset	dataset	VERB
cana-3463	108	20	the	the	DET
cana-3463	108	21	human	human	ADJ
cana-3463	108	22	genome	genome	NOUN
cana-3463	108	23	assembly	assembly	NOUN
cana-3463	108	24	grch38	grch38	PROPN
cana-3463	108	25	dataset	dataset	PROPN
cana-3463	108	26	represents	represent	VERB
cana-3463	108	27	a	a	DET
cana-3463	108	28	foundational	foundational	ADJ
cana-3463	108	29	and	and	CCONJ
cana-3463	108	30	comprehensive	comprehensive	ADJ
cana-3463	108	31	genomic	genomic	NOUN
cana-3463	108	32	resource	resource	NOUN
cana-3463	108	33	the	the	DET
cana-3463	108	34	ncbi	ncbi	NOUN
cana-3463	108	35	provides	provide	VERB
cana-3463	108	36	[	[	X
cana-3463	108	37	15	15	NUM
cana-3463	108	38	]	]	PUNCT
cana-3463	108	39	.	.	PUNCT
cana-3463	109	1	this	this	DET
cana-3463	109	2	dataset	dataset	NOUN
cana-3463	109	3	encompasses	encompass	VERB
cana-3463	109	4	the	the	DET
cana-3463	109	5	nucleotide	nucleotide	ADJ
cana-3463	109	6	sequences	sequence	NOUN
cana-3463	109	7	of	of	ADP
cana-3463	109	8	the	the	DET
cana-3463	109	9	human	human	ADJ
cana-3463	109	10	genome	genome	NOUN
cana-3463	109	11	,	,	PUNCT
cana-3463	109	12	meticulously	meticulously	ADV
cana-3463	109	13	assembled	assemble	VERB
cana-3463	109	14	and	and	CCONJ
cana-3463	109	15	annotated	annotate	VERB
cana-3463	109	16	under	under	ADP
cana-3463	109	17	the	the	DET
cana-3463	109	18	grch38	grch38	NOUN
cana-3463	109	19	reference	reference	NOUN
cana-3463	109	20	genome	genome	NOUN
cana-3463	109	21	assembly	assembly	NOUN
cana-3463	109	22	.	.	PUNCT
cana-3463	110	1	spanning	span	VERB
cana-3463	110	2	an	an	DET
cana-3463	110	3	array	array	NOUN
cana-3463	110	4	of	of	ADP
cana-3463	110	5	genomic	genomic	ADJ
cana-3463	110	6	regions	region	NOUN
cana-3463	110	7	,	,	PUNCT
cana-3463	110	8	from	from	ADP
cana-3463	110	9	coding	code	VERB
cana-3463	110	10	to	to	ADP
cana-3463	110	11	non	non	ADJ
cana-3463	110	12	-	-	ADJ
cana-3463	110	13	coding	coding	ADJ
cana-3463	110	14	segments	segment	NOUN
cana-3463	110	15	,	,	PUNCT
cana-3463	110	16	and	and	CCONJ
cana-3463	110	17	encompassing	encompass	VERB
cana-3463	110	18	regulatory	regulatory	ADJ
cana-3463	110	19	elements	element	NOUN
cana-3463	110	20	,	,	PUNCT
cana-3463	110	21	this	this	DET
cana-3463	110	22	dataset	dataset	NOUN
cana-3463	110	23	comprises	comprise	VERB
cana-3463	110	24	diverse	diverse	ADJ
cana-3463	110	25	dna	dna	PROPN
cana-3463	110	26	sequences	sequence	NOUN
cana-3463	110	27	.	.	PUNCT
cana-3463	111	1	it	it	PRON
cana-3463	111	2	is	be	AUX
cana-3463	111	3	a	a	DET
cana-3463	111	4	vital	vital	ADJ
cana-3463	111	5	cornerstone	cornerstone	NOUN
cana-3463	111	6	in	in	ADP
cana-3463	111	7	genomics	genomics	NOUN
cana-3463	111	8	research	research	NOUN
cana-3463	111	9	,	,	PUNCT
cana-3463	111	10	facilitating	facilitate	VERB
cana-3463	111	11	the	the	DET
cana-3463	111	12	exploration	exploration	NOUN
cana-3463	111	13	of	of	ADP
cana-3463	111	14	genetic	genetic	ADJ
cana-3463	111	15	variations	variation	NOUN
cana-3463	111	16	,	,	PUNCT
cana-3463	111	17	gene	gene	NOUN
cana-3463	111	18	function	function	NOUN
cana-3463	111	19	,	,	PUNCT
cana-3463	111	20	and	and	CCONJ
cana-3463	111	21	regulatory	regulatory	ADJ
cana-3463	111	22	elements	element	NOUN
cana-3463	111	23	within	within	ADP
cana-3463	111	24	the	the	DET
cana-3463	111	25	human	human	ADJ
cana-3463	111	26	genome	genome	NOUN
cana-3463	111	27	.	.	PUNCT
cana-3463	112	1	researchers	researcher	NOUN
cana-3463	112	2	,	,	PUNCT
cana-3463	112	3	clinicians	clinician	NOUN
cana-3463	112	4	,	,	PUNCT
cana-3463	112	5	and	and	CCONJ
cana-3463	112	6	scientists	scientist	NOUN
cana-3463	112	7	rely	rely	VERB
cana-3463	112	8	on	on	ADP
cana-3463	112	9	this	this	DET
cana-3463	112	10	dataset	dataset	NOUN
cana-3463	112	11	to	to	PART
cana-3463	112	12	unravel	unravel	VERB
cana-3463	112	13	the	the	DET
cana-3463	112	14	complexities	complexity	NOUN
cana-3463	112	15	of	of	ADP
cana-3463	112	16	human	human	ADJ
cana-3463	112	17	genetics	genetic	NOUN
cana-3463	112	18	,	,	PUNCT
cana-3463	112	19	contributing	contribute	VERB
cana-3463	112	20	to	to	ADP
cana-3463	112	21	advancements	advancement	NOUN
cana-3463	112	22	in	in	ADP
cana-3463	112	23	fields	field	NOUN
cana-3463	112	24	ranging	range	VERB
cana-3463	112	25	from	from	ADP
cana-3463	112	26	personalized	personalized	ADJ
cana-3463	112	27	medicine	medicine	NOUN
cana-3463	112	28	to	to	ADP
cana-3463	112	29	evolutionary	evolutionary	ADJ
cana-3463	112	30	biology	biology	NOUN
cana-3463	112	31	.	.	PUNCT
cana-3463	113	1	the	the	DET
cana-3463	113	2	availability	availability	NOUN
cana-3463	113	3	of	of	ADP
cana-3463	113	4	this	this	DET
cana-3463	113	5	dataset	dataset	NOUN
cana-3463	113	6	in	in	ADP
cana-3463	113	7	fasta	fasta	PROPN
cana-3463	113	8	format	format	NOUN
cana-3463	113	9	from	from	ADP
cana-3463	113	10	ncbi	ncbi	PROPN
cana-3463	113	11	ensures	ensure	VERB
cana-3463	113	12	its	its	PRON
cana-3463	113	13	accessibility	accessibility	NOUN
cana-3463	113	14	to	to	ADP
cana-3463	113	15	a	a	DET
cana-3463	113	16	wide	wide	ADJ
cana-3463	113	17	community	community	NOUN
cana-3463	113	18	of	of	ADP
cana-3463	113	19	investigators	investigator	NOUN
cana-3463	113	20	,	,	PUNCT
cana-3463	113	21	fostering	foster	VERB
cana-3463	113	22	a	a	DET
cana-3463	113	23	deeper	deep	ADJ
cana-3463	113	24	understanding	understanding	NOUN
cana-3463	113	25	of	of	ADP
cana-3463	113	26	human	human	ADJ
cana-3463	113	27	biology	biology	NOUN
cana-3463	113	28	and	and	CCONJ
cana-3463	113	29	disease.table	disease.table	ADJ
cana-3463	113	30	1	1	NUM
cana-3463	113	31	explains	explain	VERB
cana-3463	113	32	the	the	DET
cana-3463	113	33	ncbi	ncbi	PROPN
cana-3463	113	34	dataset	dataset	PROPN
cana-3463	113	35	sample	sample	NOUN
cana-3463	113	36	data	datum	NOUN
cana-3463	113	37	that	that	PRON
cana-3463	113	38	was	be	AUX
cana-3463	113	39	acquired	acquire	VERB
cana-3463	113	40	.	.	PUNCT
cana-3463	114	1	table	table	NOUN
cana-3463	114	2	1	1	NUM
cana-3463	114	3	.	.	PUNCT
cana-3463	115	1	sample	sample	NOUN
cana-3463	115	2	data	datum	NOUN
cana-3463	115	3	of	of	ADP
cana-3463	115	4	dataset	dataset	NOUN
cana-3463	115	5	from	from	ADP
cana-3463	115	6	ncbi	ncbi	PROPN
cana-3463	115	7	index	index	NOUN
cana-3463	115	8	access	access	NOUN
cana-3463	115	9	number	number	NOUN
cana-3463	115	10	normal	normal	ADJ
cana-3463	115	11	breast	breast	NOUN
cana-3463	115	12	1	1	NUM
cana-3463	115	13	dq676891.1	dq676891.1	NUM
cana-3463	115	14	2	2	NUM
cana-3463	115	15	dq676892.1	dq676892.1	NUM
cana-3463	115	16	3	3	NUM
cana-3463	115	17	dq676893.1	dq676893.1	NUM
cana-3463	115	18	4	4	NUM
cana-3463	115	19	dq676894.1	dq676894.1	ADJ
cana-3463	115	20	breast	breast	NOUN
cana-3463	115	21	cancer	cancer	NOUN
cana-3463	115	22	1	1	NUM
cana-3463	115	23	2557839709	2557839709	NUM
cana-3463	115	24	2	2	NUM
cana-3463	115	25	2557839708	2557839708	NUM
cana-3463	115	26	3	3	NUM
cana-3463	115	27	2557839707	2557839707	NUM
cana-3463	115	28	4	4	NUM
cana-3463	115	29	2557839706	2557839706	NUM
cana-3463	115	30	biopython	biopython	PROPN
cana-3463	115	31	is	be	AUX
cana-3463	115	32	an	an	DET
cana-3463	115	33	open	open	ADJ
cana-3463	115	34	-	-	PUNCT
cana-3463	115	35	source	source	NOUN
cana-3463	115	36	python	python	NOUN
cana-3463	115	37	library	library	NOUN
cana-3463	115	38	that	that	PRON
cana-3463	115	39	is	be	AUX
cana-3463	115	40	frequently	frequently	ADV
cana-3463	115	41	used	use	VERB
cana-3463	115	42	for	for	ADP
cana-3463	115	43	processing	process	VERB
cana-3463	115	44	data	datum	NOUN
cana-3463	115	45	in	in	ADP
cana-3463	115	46	bioinformatics	bioinformatics	NOUN
cana-3463	115	47	.	.	PUNCT
cana-3463	116	1	it	it	PRON
cana-3463	116	2	makes	make	VERB
cana-3463	116	3	the	the	DET
cana-3463	116	4	process	process	NOUN
cana-3463	116	5	of	of	ADP
cana-3463	116	6	taking	take	VERB
cana-3463	116	7	out	out	ADP
cana-3463	116	8	,	,	PUNCT
cana-3463	116	9	examining	examine	VERB
cana-3463	116	10	,	,	PUNCT
cana-3463	116	11	and	and	CCONJ
cana-3463	116	12	working	work	VERB
cana-3463	116	13	with	with	ADP
cana-3463	116	14	sequence	sequence	NOUN
cana-3463	116	15	data	datum	NOUN
cana-3463	116	16	easier	easy	ADJ
cana-3463	116	17	.	.	PUNCT
cana-3463	117	1	entrez	entrez	PROPN
cana-3463	117	2	is	be	AUX
cana-3463	117	3	a	a	DET
cana-3463	117	4	text	text	NOUN
cana-3463	117	5	retrieval	retrieval	NOUN
cana-3463	117	6	and	and	CCONJ
cana-3463	117	7	search	search	NOUN
cana-3463	117	8	system	system	NOUN
cana-3463	117	9	that	that	PRON
cana-3463	117	10	combines	combine	VERB
cana-3463	117	11	several	several	ADJ
cana-3463	117	12	ncbi	ncbi	NOUN
cana-3463	117	13	datasets	dataset	NOUN
cana-3463	117	14	.	.	PUNCT
cana-3463	118	1	refine	refine	VERB
cana-3463	118	2	the	the	DET
cana-3463	118	3	ncbi	ncbi	PROPN
cana-3463	118	4	query	query	NOUN
cana-3463	118	5	as	as	ADP
cana-3463	118	6	search_term	search_term	NOUN
cana-3463	118	7	=	=	SYM
cana-3463	118	8	"	"	PUNCT
cana-3463	118	9	breast	breast	NOUN
cana-3463	118	10	dna	dna	NOUN
cana-3463	118	11	and	and	CCONJ
cana-3463	118	12	homo	homo	NOUN
cana-3463	118	13	sapiens	sapien	VERB
cana-3463	119	1	[	[	X
cana-3463	119	2	organism	organism	NOUN
cana-3463	119	3	]	]	PUNCT
cana-3463	119	4	"	"	PUNCT
cana-3463	119	5	to	to	PART
cana-3463	119	6	generate	generate	VERB
cana-3463	119	7	automatic	automatic	ADJ
cana-3463	119	8	generation	generation	NOUN
cana-3463	119	9	of	of	ADP
cana-3463	119	10	accession	accession	NOUN
cana-3463	119	11	numbers	number	NOUN
cana-3463	119	12	in	in	ADP
cana-3463	119	13	table	table	NOUN
cana-3463	119	14	2	2	NUM
cana-3463	119	15	.	.	PUNCT
cana-3463	119	16	table	table	NOUN
cana-3463	120	1	2	2	NUM
cana-3463	120	2	.	.	PUNCT
cana-3463	120	3	automatic	automatic	ADJ
cana-3463	120	4	generation	generation	NOUN
cana-3463	120	5	of	of	ADP
cana-3463	120	6	accession	accession	NOUN
cana-3463	120	7	numbers	number	NOUN
cana-3463	120	8	of	of	ADP
cana-3463	120	9	normal	normal	ADJ
cana-3463	120	10	breast	breast	NOUN
cana-3463	120	11	and	and	CCONJ
cana-3463	120	12	cancerous	cancerous	ADJ
cana-3463	120	13	gene	gene	NOUN
cana-3463	120	14	from	from	ADP
cana-3463	120	15	the	the	DET
cana-3463	120	16	ncbi	ncbi	PROPN
cana-3463	120	17	normal	normal	ADJ
cana-3463	120	18	breast	breast	NOUN
cana-3463	120	19	gene	gene	NOUN
cana-3463	120	20	breast	breast	NOUN
cana-3463	120	21	cancer	cancer	NOUN
cana-3463	120	22	gene	gene	NOUN
cana-3463	121	1	[	[	X
cana-3463	121	2	'	'	NUM
cana-3463	121	3	2760823	2760823	NUM
cana-3463	121	4	'	'	PUNCT
cana-3463	121	5	,	,	PUNCT
cana-3463	121	6	'	'	PUNCT
cana-3463	121	7	808096	808096	NUM
cana-3463	121	8	'	'	PUNCT
cana-3463	121	9	,	,	PUNCT
cana-3463	121	10	'	'	PUNCT
cana-3463	121	11	808093	808093	NUM
cana-3463	121	12	'	'	PUNCT
cana-3463	121	13	,	,	PUNCT
cana-3463	121	14	'	'	PUNCT
cana-3463	121	15	808092	808092	NUM
cana-3463	121	16	'	'	PUNCT
cana-3463	121	17	,	,	PUNCT
cana-3463	121	18	'	'	PUNCT
cana-3463	121	19	808091	808091	NUM
cana-3463	121	20	'	'	NUM
cana-3463	121	21	,	,	PUNCT
cana-3463	121	22	'	'	PUNCT
cana-3463	121	23	808088	808088	NUM
cana-3463	121	24	'	'	PUNCT
cana-3463	121	25	,	,	PUNCT
cana-3463	121	26	'	'	PUNCT
cana-3463	121	27	808087	808087	NUM
cana-3463	121	28	'	'	PUNCT
cana-3463	121	29	,	,	PUNCT
cana-3463	121	30	'	'	NUM
cana-3463	121	31	808085	808085	NUM
cana-3463	121	32	'	'	PUNCT
cana-3463	121	33	,	,	PUNCT
cana-3463	121	34	'	'	PUNCT
cana-3463	121	35	808084	808084	NUM
cana-3463	121	36	'	'	PUNCT
cana-3463	121	37	,	,	PUNCT
cana-3463	121	38	'	'	PUNCT
cana-3463	121	39	808083	808083	NUM
cana-3463	121	40	'	'	NUM
cana-3463	121	41	,	,	PUNCT
cana-3463	121	42	'	'	PUNCT
cana-3463	121	43	808082	808082	NUM
cana-3463	121	44	'	'	PUNCT
cana-3463	121	45	,	,	PUNCT
cana-3463	121	46	'	'	PUNCT
cana-3463	121	47	808081	808081	NUM
cana-3463	121	48	'	'	PUNCT
cana-3463	121	49	,	,	PUNCT
cana-3463	121	50	'	'	PUNCT
cana-3463	121	51	808080	808080	NUM
cana-3463	121	52	'	'	PUNCT
cana-3463	121	53	,	,	PUNCT
cana-3463	121	54	'	'	PUNCT
cana-3463	121	55	808077	808077	NUM
cana-3463	121	56	'	'	NUM
cana-3463	121	57	,	,	PUNCT
cana-3463	121	58	'	'	PUNCT
cana-3463	121	59	808076	808076	NUM
cana-3463	121	60	'	'	PUNCT
cana-3463	121	61	,	,	PUNCT
cana-3463	121	62	'	'	PUNCT
cana-3463	121	63	808075	808075	NUM
cana-3463	121	64	'	'	PUNCT
cana-3463	121	65	,	,	PUNCT
cana-3463	121	66	'	'	PUNCT
cana-3463	121	67	808074	808074	NUM
cana-3463	121	68	'	'	NUM
cana-3463	121	69	,	,	PUNCT
cana-3463	121	70	'	'	PUNCT
cana-3463	121	71	808073	808073	NUM
cana-3463	121	72	'	'	PUNCT
cana-3463	121	73	,	,	PUNCT
cana-3463	121	74	'	'	PUNCT
cana-3463	121	75	808071	808071	NUM
cana-3463	121	76	'	'	PUNCT
cana-3463	121	77	,	,	PUNCT
cana-3463	122	1	[	[	X
cana-3463	122	2	'	'	PUNCT
cana-3463	122	3	798959876	798959876	NUM
cana-3463	122	4	'	'	PUNCT
cana-3463	122	5	,	,	PUNCT
cana-3463	122	6	'	'	PUNCT
cana-3463	122	7	795881100	795881100	NUM
cana-3463	122	8	'	'	PUNCT
cana-3463	122	9	,	,	PUNCT
cana-3463	122	10	'	'	PUNCT
cana-3463	122	11	795881095	795881095	NUM
cana-3463	122	12	'	'	PUNCT
cana-3463	122	13	,	,	PUNCT
cana-3463	122	14	'	'	PUNCT
cana-3463	122	15	2557839709	2557839709	NUM
cana-3463	122	16	'	'	PUNCT
cana-3463	122	17	,	,	PUNCT
cana-3463	122	18	'	'	PUNCT
cana-3463	122	19	2557839708	2557839708	NUM
cana-3463	122	20	'	'	PUNCT
cana-3463	122	21	,	,	PUNCT
cana-3463	122	22	'	'	PUNCT
cana-3463	122	23	2557839707	2557839707	NUM
cana-3463	122	24	'	'	NUM
cana-3463	122	25	,	,	PUNCT
cana-3463	122	26	'	'	PUNCT
cana-3463	122	27	2557839706	2557839706	NUM
cana-3463	122	28	'	'	NUM
cana-3463	122	29	,	,	PUNCT
cana-3463	122	30	'	'	PUNCT
cana-3463	122	31	2557839705	2557839705	NUM
cana-3463	122	32	'	'	PUNCT
cana-3463	122	33	,	,	PUNCT
cana-3463	122	34	'	'	PUNCT
cana-3463	122	35	2557839704	2557839704	NUM
cana-3463	122	36	'	'	NUM
cana-3463	122	37	,	,	PUNCT
cana-3463	122	38	'	'	PUNCT
cana-3463	122	39	195539323	195539323	NUM
cana-3463	122	40	'	'	PUNCT
cana-3463	122	41	,	,	PUNCT
cana-3463	122	42	'	'	PUNCT
cana-3463	122	43	195222727	195222727	NUM
cana-3463	122	44	'	'	PUNCT
cana-3463	122	45	,	,	PUNCT
cana-3463	122	46	'	'	PUNCT
cana-3463	122	47	1889709440	1889709440	NUM
cana-3463	122	48	'	'	NUM
cana-3463	122	49	,	,	PUNCT
cana-3463	122	50	'	'	PUNCT
cana-3463	122	51	2430004997	2430004997	NUM
cana-3463	122	52	'	'	NUM
cana-3463	122	53	,	,	PUNCT
cana-3463	122	54	'	'	PUNCT
cana-3463	122	55	2430004996	2430004996	NUM
cana-3463	122	56	'	'	PUNCT
cana-3463	122	57	,	,	PUNCT
cana-3463	122	58	'	'	PUNCT
cana-3463	122	59	2430004995	2430004995	NUM
cana-3463	122	60	'	'	NUM
cana-3463	122	61	,	,	PUNCT
cana-3463	122	62	communications	communication	NOUN
cana-3463	122	63	on	on	ADP
cana-3463	122	64	applied	apply	VERB
cana-3463	122	65	nonlinear	nonlinear	ADJ
cana-3463	122	66	analysis	analysis	NOUN
cana-3463	122	67	issn	issn	NOUN
cana-3463	122	68	:	:	PUNCT
cana-3463	122	69	1074	1074	NUM
cana-3463	122	70	-	-	PUNCT
cana-3463	122	71	133x	133x	NUM
cana-3463	122	72	vol	vol	NOUN
cana-3463	122	73	32	32	NUM
cana-3463	122	74	no	no	NOUN
cana-3463	122	75	.	.	PUNCT
cana-3463	123	1	7s	7	NOUN
cana-3463	123	2	(	(	PUNCT
cana-3463	123	3	2025	2025	NUM
cana-3463	123	4	)	)	PUNCT
cana-3463	123	5	547	547	NUM
cana-3463	124	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	124	2	'	'	NUM
cana-3463	124	3	808068	808068	NUM
cana-3463	124	4	'	'	PUNCT
cana-3463	124	5	]	]	X
cana-3463	124	6	'	'	PUNCT
cana-3463	124	7	2430004994	2430004994	NUM
cana-3463	124	8	'	'	PUNCT
cana-3463	124	9	,	,	PUNCT
cana-3463	124	10	'	'	PUNCT
cana-3463	124	11	2430004993	2430004993	NUM
cana-3463	124	12	'	'	PUNCT
cana-3463	124	13	,	,	PUNCT
cana-3463	124	14	'	'	PUNCT
cana-3463	124	15	2430004992	2430004992	NUM
cana-3463	124	16	'	'	NUM
cana-3463	124	17	,	,	PUNCT
cana-3463	124	18	'	'	PUNCT
cana-3463	124	19	2430004991	2430004991	NUM
cana-3463	124	20	'	'	PUNCT
cana-3463	124	21	,	,	PUNCT
cana-3463	124	22	'	'	PUNCT
cana-3463	124	23	2430004990	2430004990	NUM
cana-3463	124	24	'	'	PUNCT
cana-3463	124	25	]	]	PUNCT
cana-3463	124	26	from	from	ADP
cana-3463	124	27	accession	accession	NOUN
cana-3463	124	28	number	number	NOUN
cana-3463	124	29	extract	extract	VERB
cana-3463	124	30	dna	dna	NOUN
cana-3463	124	31	sequence	sequence	NOUN
cana-3463	124	32	as	as	ADP
cana-3463	124	33	fasta	fasta	PROPN
cana-3463	124	34	files	file	NOUN
cana-3463	124	35	as	as	SCONJ
cana-3463	124	36	shown	show	VERB
cana-3463	124	37	in	in	ADP
cana-3463	124	38	figure	figure	NOUN
cana-3463	124	39	1	1	NUM
cana-3463	124	40	used	use	VERB
cana-3463	124	41	to	to	PART
cana-3463	124	42	convert	convert	VERB
cana-3463	124	43	into	into	ADP
cana-3463	124	44	spectrogram	spectrogram	NOUN
cana-3463	124	45	.	.	PUNCT
cana-3463	125	1	figure	figure	NOUN
cana-3463	125	2	1	1	NUM
cana-3463	125	3	normal	normal	ADJ
cana-3463	125	4	breast	breast	NOUN
cana-3463	125	5	fasta	fasta	PROPN
cana-3463	125	6	file	file	NOUN
cana-3463	125	7	generation	generation	NOUN
cana-3463	125	8	dna	dna	PROPN
cana-3463	125	9	data	datum	NOUN
cana-3463	125	10	can	can	AUX
cana-3463	125	11	not	not	PART
cana-3463	125	12	be	be	AUX
cana-3463	125	13	used	use	VERB
cana-3463	125	14	directly	directly	ADV
cana-3463	125	15	so	so	SCONJ
cana-3463	125	16	it	it	PRON
cana-3463	125	17	has	have	VERB
cana-3463	125	18	to	to	PART
cana-3463	125	19	convert	convert	VERB
cana-3463	125	20	into	into	ADP
cana-3463	125	21	numeric	numeric	ADJ
cana-3463	125	22	substitutions	substitution	NOUN
cana-3463	125	23	such	such	ADJ
cana-3463	125	24	as	as	ADP
cana-3463	125	25	assigning	assign	VERB
cana-3463	125	26	a	a	DET
cana-3463	125	27	=	=	SYM
cana-3463	125	28	1	1	NUM
cana-3463	125	29	,	,	PUNCT
cana-3463	125	30	c	c	NOUN
cana-3463	125	31	=	=	SYM
cana-3463	125	32	2	2	NUM
cana-3463	125	33	,	,	PUNCT
cana-3463	125	34	g	g	NOUN
cana-3463	125	35	=	=	SYM
cana-3463	125	36	3	3	NUM
cana-3463	125	37	,	,	PUNCT
cana-3463	125	38	t	t	NOUN
cana-3463	125	39	=	=	SYM
cana-3463	125	40	4	4	NUM
cana-3463	125	41	,	,	PUNCT
cana-3463	125	42	or	or	CCONJ
cana-3463	125	43	atomic	atomic	ADJ
cana-3463	125	44	number(c	number(c	NOUN
cana-3463	125	45	=	=	SYM
cana-3463	125	46	58	58	NUM
cana-3463	125	47	,	,	PUNCT
cana-3463	125	48	t	t	PROPN
cana-3463	125	49	=	=	SYM
cana-3463	125	50	66	66	NUM
cana-3463	125	51	,	,	PUNCT
cana-3463	125	52	a	a	DET
cana-3463	125	53	=	=	SYM
cana-3463	125	54	70	70	NUM
cana-3463	125	55	,	,	PUNCT
cana-3463	125	56	g	g	NOUN
cana-3463	125	57	=	=	SYM
cana-3463	125	58	78	78	NUM
cana-3463	125	59	)	)	PUNCT
cana-3463	125	60	,	,	PUNCT
cana-3463	125	61	frequency	frequency	NOUN
cana-3463	125	62	-	-	PUNCT
cana-3463	125	63	ofoccurrence	ofoccurrence	NOUN
cana-3463	125	64	mapping	mapping	NOUN
cana-3463	125	65	,	,	PUNCT
cana-3463	125	66	cartesian	cartesian	ADJ
cana-3463	125	67	-	-	PUNCT
cana-3463	125	68	coordinate	coordinate	NOUN
cana-3463	125	69	properties	property	NOUN
cana-3463	125	70	,	,	PUNCT
cana-3463	125	71	primary	primary	ADJ
cana-3463	125	72	-	-	PUNCT
cana-3463	125	73	structure	structure	NOUN
cana-3463	125	74	properties	property	NOUN
cana-3463	125	75	,	,	PUNCT
cana-3463	125	76	biochemical	biochemical	ADJ
cana-3463	125	77	properties	property	NOUN
cana-3463	125	78	,	,	PUNCT
cana-3463	125	79	graphical	graphical	ADJ
cana-3463	125	80	representation	representation	NOUN
cana-3463	126	1	[	[	X
cana-3463	126	2	22	22	NUM
cana-3463	126	3	]	]	PUNCT
cana-3463	126	4	.	.	PUNCT
cana-3463	127	1	predicting	predict	VERB
cana-3463	127	2	breast	breast	NOUN
cana-3463	127	3	cancer	cancer	NOUN
cana-3463	127	4	gene	gene	NOUN
cana-3463	127	5	expression	expression	NOUN
cana-3463	127	6	from	from	ADP
cana-3463	127	7	spectrograms	spectrogram	NOUN
cana-3463	127	8	using	use	VERB
cana-3463	127	9	deep	deep	ADJ
cana-3463	127	10	learning	learning	NOUN
cana-3463	127	11	techniques	technique	NOUN
cana-3463	127	12	is	be	AUX
cana-3463	127	13	a	a	DET
cana-3463	127	14	complex	complex	ADJ
cana-3463	127	15	and	and	CCONJ
cana-3463	127	16	challenging	challenging	ADJ
cana-3463	127	17	task	task	NOUN
cana-3463	127	18	that	that	PRON
cana-3463	127	19	requires	require	VERB
cana-3463	127	20	careful	careful	ADJ
cana-3463	127	21	consideration	consideration	NOUN
cana-3463	127	22	of	of	ADP
cana-3463	127	23	both	both	CCONJ
cana-3463	127	24	the	the	DET
cana-3463	127	25	data	datum	NOUN
cana-3463	127	26	and	and	CCONJ
cana-3463	127	27	the	the	DET
cana-3463	127	28	modeling	modeling	NOUN
cana-3463	127	29	approach	approach	NOUN
cana-3463	127	30	.	.	PUNCT
cana-3463	128	1	a	a	DET
cana-3463	128	2	schematic	schematic	ADJ
cana-3463	128	3	representation	representation	NOUN
cana-3463	128	4	of	of	ADP
cana-3463	128	5	the	the	DET
cana-3463	128	6	suggested	suggest	VERB
cana-3463	128	7	models	model	NOUN
cana-3463	128	8	is	be	AUX
cana-3463	128	9	shown	show	VERB
cana-3463	128	10	in	in	ADP
cana-3463	128	11	figure	figure	NOUN
cana-3463	128	12	2	2	NUM
cana-3463	128	13	.	.	PUNCT
cana-3463	128	14	dataset	dataset	NOUN
cana-3463	128	15	convert	convert	NOUN
cana-3463	128	16	genomic	genomic	NOUN
cana-3463	128	17	data	datum	NOUN
cana-3463	128	18	into	into	ADP
cana-3463	128	19	numeric	numeric	ADJ
cana-3463	128	20	data	datum	NOUN
cana-3463	128	21	(	(	PUNCT
cana-3463	128	22	frequency	frequency	NOUN
cana-3463	128	23	-	-	PUNCT
cana-3463	128	24	of	of	ADP
cana-3463	128	25	-	-	PUNCT
cana-3463	128	26	occurrence	occurrence	NOUN
cana-3463	128	27	mapping	mapping	NOUN
cana-3463	128	28	)	)	PUNCT
cana-3463	128	29	voss	voss	PROPN
cana-3463	128	30	representation	representation	NOUN
cana-3463	128	31	gene	gene	NOUN
cana-3463	128	32	data	datum	NOUN
cana-3463	128	33	into	into	ADP
cana-3463	128	34	spectrogram	spectrogram	NOUN
cana-3463	128	35	image	image	NOUN
cana-3463	128	36	(	(	PUNCT
cana-3463	128	37	stft	stft	NOUN
cana-3463	128	38	)	)	PUNCT
cana-3463	128	39	classification	classification	NOUN
cana-3463	128	40	result	result	NOUN
cana-3463	128	41	figure	figure	NOUN
cana-3463	128	42	2	2	NUM
cana-3463	128	43	.	.	NOUN
cana-3463	128	44	block	block	NOUN
cana-3463	128	45	diagram	diagram	NOUN
cana-3463	128	46	frequency	frequency	NOUN
cana-3463	128	47	-	-	PUNCT
cana-3463	128	48	of	of	ADP
cana-3463	128	49	-	-	PUNCT
cana-3463	128	50	occurrence	occurrence	NOUN
cana-3463	128	51	mapping	mapping	NOUN
cana-3463	128	52	frequency	frequency	NOUN
cana-3463	128	53	-	-	PUNCT
cana-3463	128	54	of	of	ADP
cana-3463	128	55	-	-	PUNCT
cana-3463	128	56	occurrence	occurrence	NOUN
cana-3463	128	57	mapping	mapping	NOUN
cana-3463	128	58	is	be	AUX
cana-3463	128	59	a	a	DET
cana-3463	128	60	technique	technique	NOUN
cana-3463	128	61	used	use	VERB
cana-3463	128	62	to	to	PART
cana-3463	128	63	convert	convert	VERB
cana-3463	128	64	genomic	genomic	ADJ
cana-3463	128	65	data	datum	NOUN
cana-3463	128	66	,	,	PUNCT
cana-3463	128	67	typically	typically	ADV
cana-3463	128	68	represented	represent	VERB
cana-3463	128	69	by	by	ADP
cana-3463	128	70	dna	dna	PROPN
cana-3463	128	71	sequences	sequence	NOUN
cana-3463	128	72	consisting	consist	VERB
cana-3463	128	73	of	of	ADP
cana-3463	128	74	four	four	NUM
cana-3463	128	75	nucleotide	nucleotide	ADJ
cana-3463	128	76	bases	basis	NOUN
cana-3463	128	77	(	(	PUNCT
cana-3463	128	78	a	a	DET
cana-3463	128	79	,	,	PUNCT
cana-3463	128	80	t	t	PROPN
cana-3463	128	81	,	,	PUNCT
cana-3463	128	82	c	c	NOUN
cana-3463	128	83	,	,	PUNCT
cana-3463	128	84	and	and	CCONJ
cana-3463	128	85	g	g	NOUN
cana-3463	128	86	)	)	PUNCT
cana-3463	128	87	,	,	PUNCT
cana-3463	128	88	into	into	ADP
cana-3463	128	89	numerical	numerical	ADJ
cana-3463	128	90	data	datum	NOUN
cana-3463	128	91	.	.	PUNCT
cana-3463	129	1	this	this	DET
cana-3463	129	2	mapping	mapping	NOUN
cana-3463	129	3	assigns	assign	VERB
cana-3463	129	4	numeric	numeric	ADJ
cana-3463	129	5	values	value	NOUN
cana-3463	129	6	to	to	ADP
cana-3463	129	7	each	each	DET
cana-3463	129	8	nucleotide	nucleotide	ADJ
cana-3463	129	9	base	base	NOUN
cana-3463	129	10	based	base	VERB
cana-3463	129	11	on	on	ADP
cana-3463	129	12	its	its	PRON
cana-3463	129	13	frequency	frequency	NOUN
cana-3463	129	14	of	of	ADP
cana-3463	129	15	occurrence	occurrence	NOUN
cana-3463	129	16	in	in	ADP
cana-3463	129	17	the	the	DET
cana-3463	129	18	sequence	sequence	NOUN
cana-3463	129	19	.	.	PUNCT
cana-3463	130	1	here	here	ADV
cana-3463	130	2	's	be	AUX
cana-3463	130	3	how	how	SCONJ
cana-3463	130	4	you	you	PRON
cana-3463	130	5	can	can	AUX
cana-3463	130	6	perform	perform	VERB
cana-3463	130	7	frequency	frequency	NOUN
cana-3463	130	8	-	-	PUNCT
cana-3463	130	9	of	of	ADP
cana-3463	130	10	-	-	PUNCT
cana-3463	130	11	occurrence	occurrence	NOUN
cana-3463	130	12	mapping	mapping	NOUN
cana-3463	130	13	:	:	PUNCT
cana-3463	130	14	communications	communication	NOUN
cana-3463	130	15	on	on	ADP
cana-3463	130	16	applied	apply	VERB
cana-3463	130	17	nonlinear	nonlinear	ADJ
cana-3463	130	18	analysis	analysis	NOUN
cana-3463	130	19	issn	issn	NOUN
cana-3463	130	20	:	:	PUNCT
cana-3463	130	21	1074	1074	NUM
cana-3463	130	22	-	-	PUNCT
cana-3463	130	23	133x	133x	NUM
cana-3463	130	24	vol	vol	NOUN
cana-3463	130	25	32	32	NUM
cana-3463	130	26	no	no	NOUN
cana-3463	130	27	.	.	PUNCT
cana-3463	131	1	7s	7	NOUN
cana-3463	131	2	(	(	PUNCT
cana-3463	131	3	2025	2025	NUM
cana-3463	131	4	)	)	PUNCT
cana-3463	131	5	548	548	NUM
cana-3463	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	131	7	1	1	X
cana-3463	131	8	.	.	PUNCT
cana-3463	131	9	count	count	VERB
cana-3463	131	10	nucleotide	nucleotide	ADJ
cana-3463	131	11	frequencies	frequency	NOUN
cana-3463	131	12	:	:	PUNCT
cana-3463	131	13	start	start	VERB
cana-3463	131	14	by	by	ADP
cana-3463	131	15	counting	count	VERB
cana-3463	131	16	the	the	DET
cana-3463	131	17	occurrences	occurrence	NOUN
cana-3463	131	18	of	of	ADP
cana-3463	131	19	each	each	DET
cana-3463	131	20	nucleotide	nucleotide	ADJ
cana-3463	131	21	base	base	NOUN
cana-3463	131	22	(	(	PUNCT
cana-3463	131	23	a	a	PRON
cana-3463	131	24	,	,	PUNCT
cana-3463	131	25	t	t	PROPN
cana-3463	131	26	,	,	PUNCT
cana-3463	131	27	c	c	NOUN
cana-3463	131	28	,	,	PUNCT
cana-3463	131	29	and	and	CCONJ
cana-3463	131	30	g	g	NOUN
cana-3463	131	31	)	)	PUNCT
cana-3463	131	32	within	within	ADP
cana-3463	131	33	the	the	DET
cana-3463	131	34	dna	dna	PROPN
cana-3463	131	35	sequence	sequence	NOUN
cana-3463	131	36	you	you	PRON
cana-3463	131	37	want	want	VERB
cana-3463	131	38	to	to	PART
cana-3463	131	39	convert	convert	VERB
cana-3463	131	40	.	.	PUNCT
cana-3463	132	1	you	you	PRON
cana-3463	132	2	can	can	AUX
cana-3463	132	3	do	do	VERB
cana-3463	132	4	this	this	PRON
cana-3463	132	5	by	by	ADP
cana-3463	132	6	iterating	iterate	VERB
cana-3463	132	7	through	through	ADP
cana-3463	132	8	the	the	DET
cana-3463	132	9	sequence	sequence	NOUN
cana-3463	132	10	and	and	CCONJ
cana-3463	132	11	keeping	keep	VERB
cana-3463	132	12	track	track	NOUN
cana-3463	132	13	of	of	ADP
cana-3463	132	14	the	the	DET
cana-3463	132	15	counts	count	NOUN
cana-3463	132	16	for	for	ADP
cana-3463	132	17	each	each	DET
cana-3463	132	18	base	base	NOUN
cana-3463	132	19	.	.	PUNCT
cana-3463	133	1	2	2	X
cana-3463	133	2	.	.	X
cana-3463	133	3	assign	assign	VERB
cana-3463	133	4	numeric	numeric	ADJ
cana-3463	133	5	values	value	NOUN
cana-3463	133	6	:	:	PUNCT
cana-3463	133	7	next	next	ADV
cana-3463	133	8	,	,	PUNCT
cana-3463	133	9	assign	assign	VERB
cana-3463	133	10	numeric	numeric	ADJ
cana-3463	133	11	values	value	NOUN
cana-3463	133	12	to	to	ADP
cana-3463	133	13	each	each	DET
cana-3463	133	14	nucleotide	nucleotide	ADJ
cana-3463	133	15	base	base	NOUN
cana-3463	133	16	based	base	VERB
cana-3463	133	17	on	on	ADP
cana-3463	133	18	its	its	PRON
cana-3463	133	19	frequency	frequency	NOUN
cana-3463	133	20	in	in	ADP
cana-3463	133	21	the	the	DET
cana-3463	133	22	sequence	sequence	NOUN
cana-3463	133	23	.	.	PUNCT
cana-3463	134	1	for	for	ADP
cana-3463	134	2	example	example	NOUN
cana-3463	134	3	,	,	PUNCT
cana-3463	134	4	you	you	PRON
cana-3463	134	5	can	can	AUX
cana-3463	134	6	assign	assign	VERB
cana-3463	134	7	values	value	NOUN
cana-3463	134	8	as	as	SCONJ
cana-3463	134	9	follows	follow	VERB
cana-3463	134	10	:	:	PUNCT
cana-3463	134	11	the	the	DET
cana-3463	134	12	base	base	NOUN
cana-3463	134	13	with	with	ADP
cana-3463	134	14	the	the	DET
cana-3463	134	15	highest	high	ADJ
cana-3463	134	16	frequency	frequency	NOUN
cana-3463	134	17	gets	get	VERB
cana-3463	134	18	the	the	DET
cana-3463	134	19	highest	high	ADJ
cana-3463	134	20	numeric	numeric	ADJ
cana-3463	134	21	value	value	NOUN
cana-3463	134	22	(	(	PUNCT
cana-3463	134	23	e.g.	e.g.	ADV
cana-3463	134	24	,	,	PUNCT
cana-3463	134	25	3	3	NUM
cana-3463	134	26	or	or	CCONJ
cana-3463	134	27	4	4	NUM
cana-3463	134	28	)	)	PUNCT
cana-3463	134	29	.	.	PUNCT
cana-3463	135	1	the	the	DET
cana-3463	135	2	second	second	ADJ
cana-3463	135	3	most	most	ADV
cana-3463	135	4	frequent	frequent	ADJ
cana-3463	135	5	base	base	NOUN
cana-3463	135	6	gets	get	VERB
cana-3463	135	7	the	the	DET
cana-3463	135	8	next	next	ADJ
cana-3463	135	9	highest	high	ADJ
cana-3463	135	10	value	value	NOUN
cana-3463	135	11	.	.	PUNCT
cana-3463	136	1	the	the	DET
cana-3463	136	2	least	least	ADV
cana-3463	136	3	frequent	frequent	ADJ
cana-3463	136	4	base	base	NOUN
cana-3463	136	5	gets	get	VERB
cana-3463	136	6	the	the	DET
cana-3463	136	7	lowest	low	ADJ
cana-3463	136	8	value	value	NOUN
cana-3463	136	9	(	(	PUNCT
cana-3463	136	10	e.g.	e.g.	ADV
cana-3463	136	11	,	,	PUNCT
cana-3463	136	12	1	1	NUM
cana-3463	136	13	or	or	CCONJ
cana-3463	136	14	2	2	NUM
cana-3463	136	15	)	)	PUNCT
cana-3463	136	16	.	.	PUNCT
cana-3463	137	1	3	3	X
cana-3463	137	2	.	.	X
cana-3463	137	3	map	map	VERB
cana-3463	137	4	the	the	DET
cana-3463	137	5	sequence	sequence	NOUN
cana-3463	137	6	:	:	PUNCT
cana-3463	137	7	replace	replace	VERB
cana-3463	137	8	each	each	DET
cana-3463	137	9	nucleotide	nucleotide	ADJ
cana-3463	137	10	base	base	NOUN
cana-3463	137	11	in	in	ADP
cana-3463	137	12	the	the	DET
cana-3463	137	13	original	original	ADJ
cana-3463	137	14	dna	dna	NOUN
cana-3463	137	15	sequence	sequence	NOUN
cana-3463	137	16	with	with	ADP
cana-3463	137	17	its	its	PRON
cana-3463	137	18	corresponding	correspond	VERB
cana-3463	137	19	numeric	numeric	ADJ
cana-3463	137	20	value	value	NOUN
cana-3463	137	21	based	base	VERB
cana-3463	137	22	on	on	ADP
cana-3463	137	23	the	the	DET
cana-3463	137	24	frequency	frequency	NOUN
cana-3463	137	25	-	-	PUNCT
cana-3463	137	26	of	of	ADP
cana-3463	137	27	-	-	PUNCT
cana-3463	137	28	occurrence	occurrence	NOUN
cana-3463	137	29	mapping	mapping	NOUN
cana-3463	137	30	.	.	PUNCT
cana-3463	138	1	this	this	PRON
cana-3463	138	2	will	will	AUX
cana-3463	138	3	transform	transform	VERB
cana-3463	138	4	the	the	DET
cana-3463	138	5	entire	entire	ADJ
cana-3463	138	6	sequence	sequence	NOUN
cana-3463	138	7	into	into	ADP
cana-3463	138	8	a	a	DET
cana-3463	138	9	numeric	numeric	ADJ
cana-3463	138	10	representation	representation	NOUN
cana-3463	138	11	.	.	PUNCT
cana-3463	139	1	4	4	X
cana-3463	139	2	.	.	X
cana-3463	139	3	numeric	numeric	ADJ
cana-3463	139	4	sequence	sequence	NOUN
cana-3463	139	5	:	:	PUNCT
cana-3463	139	6	the	the	DET
cana-3463	139	7	result	result	NOUN
cana-3463	139	8	is	be	AUX
cana-3463	139	9	a	a	DET
cana-3463	139	10	numeric	numeric	ADJ
cana-3463	139	11	sequence	sequence	NOUN
cana-3463	139	12	that	that	PRON
cana-3463	139	13	represents	represent	VERB
cana-3463	139	14	the	the	DET
cana-3463	139	15	original	original	ADJ
cana-3463	139	16	genomic	genomic	NOUN
cana-3463	139	17	data	datum	NOUN
cana-3463	139	18	.	.	PUNCT
cana-3463	140	1	this	this	DET
cana-3463	140	2	numeric	numeric	ADJ
cana-3463	140	3	sequence	sequence	NOUN
cana-3463	140	4	can	can	AUX
cana-3463	140	5	be	be	AUX
cana-3463	140	6	used	use	VERB
cana-3463	140	7	for	for	ADP
cana-3463	140	8	various	various	ADJ
cana-3463	140	9	computational	computational	ADJ
cana-3463	140	10	analyses	analysis	NOUN
cana-3463	140	11	,	,	PUNCT
cana-3463	140	12	including	include	VERB
cana-3463	140	13	machine	machine	NOUN
cana-3463	140	14	learning	learning	NOUN
cana-3463	140	15	and	and	CCONJ
cana-3463	140	16	statistical	statistical	ADJ
cana-3463	140	17	modeling	modeling	NOUN
cana-3463	140	18	.	.	PUNCT
cana-3463	141	1	voss	voss	PROPN
cana-3463	141	2	representation	representation	PROPN
cana-3463	141	3	the	the	DET
cana-3463	141	4	voss	voss	PROPN
cana-3463	141	5	representation	representation	NOUN
cana-3463	141	6	is	be	AUX
cana-3463	141	7	a	a	DET
cana-3463	141	8	technique	technique	NOUN
cana-3463	141	9	used	use	VERB
cana-3463	141	10	to	to	PART
cana-3463	141	11	represent	represent	VERB
cana-3463	141	12	a	a	DET
cana-3463	141	13	dna	dna	NOUN
cana-3463	141	14	sequence	sequence	NOUN
cana-3463	141	15	using	use	VERB
cana-3463	141	16	four	four	NUM
cana-3463	141	17	binary	binary	ADJ
cana-3463	141	18	sequences	sequence	NOUN
cana-3463	141	19	,	,	PUNCT
cana-3463	141	20	and	and	CCONJ
cana-3463	141	21	it	it	PRON
cana-3463	141	22	often	often	ADV
cana-3463	141	23	involves	involve	VERB
cana-3463	141	24	applying	apply	VERB
cana-3463	141	25	long	long	ADJ
cana-3463	141	26	-	-	PUNCT
cana-3463	141	27	range	range	NOUN
cana-3463	141	28	fractional	fractional	ADJ
cana-3463	141	29	correlation	correlation	NOUN
cana-3463	141	30	for	for	ADP
cana-3463	141	31	analysis	analysis	NOUN
cana-3463	141	32	.	.	PUNCT
cana-3463	142	1	this	this	DET
cana-3463	142	2	method	method	NOUN
cana-3463	142	3	can	can	AUX
cana-3463	142	4	be	be	AUX
cana-3463	142	5	useful	useful	ADJ
cana-3463	142	6	for	for	ADP
cana-3463	142	7	capturing	capture	VERB
cana-3463	142	8	structural	structural	ADJ
cana-3463	142	9	and	and	CCONJ
cana-3463	142	10	functional	functional	ADJ
cana-3463	142	11	characteristics	characteristic	NOUN
cana-3463	142	12	of	of	ADP
cana-3463	142	13	dna	dna	PROPN
cana-3463	142	14	sequences	sequence	NOUN
cana-3463	142	15	.	.	PUNCT
cana-3463	143	1	here	here	ADV
cana-3463	143	2	's	be	AUX
cana-3463	143	3	an	an	DET
cana-3463	143	4	overview	overview	NOUN
cana-3463	143	5	of	of	ADP
cana-3463	143	6	how	how	SCONJ
cana-3463	143	7	to	to	PART
cana-3463	143	8	use	use	VERB
cana-3463	143	9	the	the	DET
cana-3463	143	10	voss	voss	PROPN
cana-3463	143	11	representation	representation	NOUN
cana-3463	143	12	and	and	CCONJ
cana-3463	143	13	apply	apply	VERB
cana-3463	143	14	long	long	ADJ
cana-3463	143	15	-	-	PUNCT
cana-3463	143	16	range	range	NOUN
cana-3463	143	17	fractional	fractional	ADJ
cana-3463	143	18	correlation	correlation	NOUN
cana-3463	143	19	:	:	PUNCT
cana-3463	143	20	1	1	X
cana-3463	143	21	.	.	X
cana-3463	143	22	voss	voss	PROPN
cana-3463	143	23	representation	representation	PROPN
cana-3463	143	24	:	:	PUNCT
cana-3463	143	25	a.	a.	NOUN
cana-3463	143	26	binary	binary	PROPN
cana-3463	143	27	sequences	sequence	NOUN
cana-3463	143	28	:	:	PUNCT
cana-3463	143	29	it	it	PRON
cana-3463	143	30	's	be	AUX
cana-3463	143	31	best	good	ADJ
cana-3463	143	32	to	to	PART
cana-3463	143	33	begin	begin	VERB
cana-3463	143	34	by	by	ADP
cana-3463	143	35	segmenting	segment	VERB
cana-3463	143	36	the	the	DET
cana-3463	143	37	dna	dna	PROPN
cana-3463	143	38	sequence	sequence	NOUN
cana-3463	143	39	into	into	ADP
cana-3463	143	40	its	its	PRON
cana-3463	143	41	component	component	NOUN
cana-3463	143	42	a	a	DET
cana-3463	143	43	(	(	PUNCT
cana-3463	143	44	adenine	adenine	NOUN
cana-3463	143	45	)	)	PUNCT
cana-3463	143	46	,	,	PUNCT
cana-3463	143	47	t	t	PROPN
cana-3463	143	48	(	(	PUNCT
cana-3463	143	49	thymine	thymine	PROPN
cana-3463	143	50	)	)	PUNCT
cana-3463	143	51	,	,	PUNCT
cana-3463	143	52	c	c	PROPN
cana-3463	143	53	(	(	PUNCT
cana-3463	143	54	cytosine	cytosine	NOUN
cana-3463	143	55	)	)	PUNCT
cana-3463	143	56	,	,	PUNCT
cana-3463	143	57	and	and	CCONJ
cana-3463	143	58	g	g	PROPN
cana-3463	143	59	(	(	PUNCT
cana-3463	143	60	guanine	guanine	NOUN
cana-3463	143	61	)	)	PUNCT
cana-3463	143	62	bases	basis	NOUN
cana-3463	143	63	.	.	PUNCT
cana-3463	144	1	b.	b.	PROPN
cana-3463	144	2	binary	binary	PROPN
cana-3463	144	3	encoding	encoding	PROPN
cana-3463	144	4	:	:	PUNCT
cana-3463	144	5	encode	encode	VERB
cana-3463	144	6	each	each	PRON
cana-3463	144	7	of	of	ADP
cana-3463	144	8	the	the	DET
cana-3463	144	9	four	four	NUM
cana-3463	144	10	sequences	sequence	NOUN
cana-3463	144	11	as	as	ADP
cana-3463	144	12	binary	binary	ADJ
cana-3463	144	13	sequences	sequence	NOUN
cana-3463	144	14	.	.	PUNCT
cana-3463	145	1	for	for	ADP
cana-3463	145	2	example	example	NOUN
cana-3463	145	3	,	,	PUNCT
cana-3463	145	4	you	you	PRON
cana-3463	145	5	can	can	AUX
cana-3463	145	6	represent	represent	VERB
cana-3463	145	7	a	a	DET
cana-3463	145	8	as	as	ADP
cana-3463	145	9	'	'	NUM
cana-3463	145	10	00	00	NUM
cana-3463	145	11	,	,	PUNCT
cana-3463	145	12	'	'	PUNCT
cana-3463	145	13	t	t	NOUN
cana-3463	145	14	as	as	ADP
cana-3463	145	15	'	'	NUM
cana-3463	145	16	01	01	NUM
cana-3463	145	17	,	,	PUNCT
cana-3463	145	18	'	'	PUNCT
cana-3463	145	19	c	c	NOUN
cana-3463	145	20	as	as	ADP
cana-3463	145	21	'	'	NUM
cana-3463	145	22	10	10	NUM
cana-3463	145	23	,	,	PUNCT
cana-3463	145	24	'	'	PUNCT
cana-3463	145	25	and	and	CCONJ
cana-3463	145	26	g	g	NOUN
cana-3463	145	27	as	as	ADP
cana-3463	145	28	'	'	NUM
cana-3463	145	29	11	11	NUM
cana-3463	145	30	,	,	PUNCT
cana-3463	145	31	'	'	PUNCT
cana-3463	145	32	or	or	CCONJ
cana-3463	145	33	you	you	PRON
cana-3463	145	34	can	can	AUX
cana-3463	145	35	choose	choose	VERB
cana-3463	145	36	an	an	DET
cana-3463	145	37	alternate	alternate	ADJ
cana-3463	145	38	binary	binary	NOUN
cana-3463	145	39	encoding	encoding	NOUN
cana-3463	145	40	scheme	scheme	NOUN
cana-3463	145	41	.	.	PUNCT
cana-3463	146	1	c.	c.	PROPN
cana-3463	146	2	combine	combine	VERB
cana-3463	146	3	sequences	sequence	NOUN
cana-3463	146	4	:	:	PUNCT
cana-3463	146	5	concatenate	concatenate	VERB
cana-3463	146	6	the	the	DET
cana-3463	146	7	binary	binary	ADJ
cana-3463	146	8	representations	representation	NOUN
cana-3463	146	9	of	of	ADP
cana-3463	146	10	the	the	DET
cana-3463	146	11	four	four	NUM
cana-3463	146	12	nucleotide	nucleotide	ADJ
cana-3463	146	13	sequences	sequence	NOUN
cana-3463	146	14	to	to	PART
cana-3463	146	15	create	create	VERB
cana-3463	146	16	a	a	DET
cana-3463	146	17	single	single	ADJ
cana-3463	146	18	binary	binary	ADJ
cana-3463	146	19	sequence	sequence	NOUN
cana-3463	146	20	representing	represent	VERB
cana-3463	146	21	the	the	DET
cana-3463	146	22	entire	entire	ADJ
cana-3463	146	23	dna	dna	NOUN
cana-3463	146	24	sequence	sequence	NOUN
cana-3463	146	25	.	.	PUNCT
cana-3463	147	1	2	2	X
cana-3463	147	2	.	.	X
cana-3463	147	3	long	long	ADJ
cana-3463	147	4	-	-	PUNCT
cana-3463	147	5	range	range	NOUN
cana-3463	147	6	fractional	fractional	ADJ
cana-3463	147	7	correlation	correlation	NOUN
cana-3463	147	8	:	:	PUNCT
cana-3463	147	9	a.	a.	NOUN
cana-3463	147	10	define	define	VERB
cana-3463	147	11	a	a	DET
cana-3463	147	12	correlation	correlation	NOUN
cana-3463	147	13	window	window	NOUN
cana-3463	147	14	:	:	PUNCT
cana-3463	147	15	specify	specify	VERB
cana-3463	147	16	a	a	DET
cana-3463	147	17	window	window	NOUN
cana-3463	147	18	size	size	NOUN
cana-3463	147	19	that	that	PRON
cana-3463	147	20	determines	determine	VERB
cana-3463	147	21	the	the	DET
cana-3463	147	22	range	range	NOUN
cana-3463	147	23	over	over	ADP
cana-3463	147	24	which	which	DET
cana-3463	147	25	correlation	correlation	NOUN
cana-3463	147	26	will	will	AUX
cana-3463	147	27	be	be	AUX
cana-3463	147	28	calculated	calculate	VERB
cana-3463	147	29	.	.	PUNCT
cana-3463	148	1	this	this	DET
cana-3463	148	2	window	window	NOUN
cana-3463	148	3	can	can	AUX
cana-3463	148	4	be	be	AUX
cana-3463	148	5	adjusted	adjust	VERB
cana-3463	148	6	based	base	VERB
cana-3463	148	7	on	on	ADP
cana-3463	148	8	the	the	DET
cana-3463	148	9	specific	specific	ADJ
cana-3463	148	10	analysis	analysis	NOUN
cana-3463	148	11	goals	goal	NOUN
cana-3463	148	12	.	.	PUNCT
cana-3463	149	1	b.	b.	PROPN
cana-3463	149	2	fractional	fractional	ADJ
cana-3463	149	3	correlation	correlation	NOUN
cana-3463	149	4	:	:	PUNCT
cana-3463	149	5	apply	apply	VERB
cana-3463	149	6	long	long	ADJ
cana-3463	149	7	-	-	PUNCT
cana-3463	149	8	range	range	NOUN
cana-3463	149	9	fractional	fractional	ADJ
cana-3463	149	10	correlation	correlation	NOUN
cana-3463	149	11	within	within	ADP
cana-3463	149	12	the	the	DET
cana-3463	149	13	defined	define	VERB
cana-3463	149	14	window	window	NOUN
cana-3463	149	15	to	to	PART
cana-3463	149	16	analyze	analyze	VERB
cana-3463	149	17	the	the	DET
cana-3463	149	18	binary	binary	ADJ
cana-3463	149	19	sequence	sequence	NOUN
cana-3463	149	20	created	create	VERB
cana-3463	149	21	in	in	ADP
cana-3463	149	22	the	the	DET
cana-3463	149	23	voss	voss	PROPN
cana-3463	149	24	representation	representation	PROPN
cana-3463	149	25	.	.	PUNCT
cana-3463	150	1	fractional	fractional	ADJ
cana-3463	150	2	correlation	correlation	NOUN
cana-3463	150	3	involves	involve	VERB
cana-3463	150	4	calculating	calculate	VERB
cana-3463	150	5	the	the	DET
cana-3463	150	6	correlation	correlation	NOUN
cana-3463	150	7	between	between	ADP
cana-3463	150	8	the	the	DET
cana-3463	150	9	binary	binary	ADJ
cana-3463	150	10	sequence	sequence	NOUN
cana-3463	150	11	and	and	CCONJ
cana-3463	150	12	itself	itself	PRON
cana-3463	150	13	but	but	CCONJ
cana-3463	150	14	shifted	shift	VERB
cana-3463	150	15	by	by	ADP
cana-3463	150	16	a	a	DET
cana-3463	150	17	certain	certain	ADJ
cana-3463	150	18	number	number	NOUN
cana-3463	150	19	of	of	ADP
cana-3463	150	20	positions	position	NOUN
cana-3463	150	21	within	within	ADP
cana-3463	150	22	the	the	DET
cana-3463	150	23	window	window	NOUN
cana-3463	150	24	.	.	PUNCT
cana-3463	151	1	c.	c.	NOUN
cana-3463	151	2	shift	shift	NOUN
cana-3463	151	3	and	and	CCONJ
cana-3463	151	4	correlate	correlate	VERB
cana-3463	151	5	:	:	PUNCT
cana-3463	151	6	for	for	ADP
cana-3463	151	7	each	each	DET
cana-3463	151	8	position	position	NOUN
cana-3463	151	9	within	within	ADP
cana-3463	151	10	the	the	DET
cana-3463	151	11	window	window	NOUN
cana-3463	151	12	,	,	PUNCT
cana-3463	151	13	shift	shift	VERB
cana-3463	151	14	the	the	DET
cana-3463	151	15	binary	binary	ADJ
cana-3463	151	16	sequence	sequence	NOUN
cana-3463	151	17	by	by	ADP
cana-3463	151	18	a	a	DET
cana-3463	151	19	certain	certain	ADJ
cana-3463	151	20	number	number	NOUN
cana-3463	151	21	of	of	ADP
cana-3463	151	22	positions	position	NOUN
cana-3463	151	23	and	and	CCONJ
cana-3463	151	24	calculate	calculate	VERB
cana-3463	151	25	the	the	DET
cana-3463	151	26	correlation	correlation	NOUN
cana-3463	151	27	between	between	ADP
cana-3463	151	28	the	the	DET
cana-3463	151	29	original	original	ADJ
cana-3463	151	30	and	and	CCONJ
cana-3463	151	31	shifted	shift	VERB
cana-3463	151	32	sequences	sequence	NOUN
cana-3463	151	33	.	.	PUNCT
cana-3463	152	1	this	this	DET
cana-3463	152	2	process	process	NOUN
cana-3463	152	3	generates	generate	VERB
cana-3463	152	4	a	a	DET
cana-3463	152	5	set	set	NOUN
cana-3463	152	6	of	of	ADP
cana-3463	152	7	correlation	correlation	NOUN
cana-3463	152	8	values	value	NOUN
cana-3463	152	9	.	.	PUNCT
cana-3463	153	1	d.	d.	PROPN
cana-3463	153	2	analyze	analyze	VERB
cana-3463	153	3	correlation	correlation	NOUN
cana-3463	153	4	values	value	NOUN
cana-3463	153	5	:	:	PUNCT
cana-3463	153	6	analyze	analyze	VERB
cana-3463	153	7	the	the	DET
cana-3463	153	8	resulting	result	VERB
cana-3463	153	9	correlation	correlation	NOUN
cana-3463	153	10	values	value	NOUN
cana-3463	153	11	to	to	PART
cana-3463	153	12	extract	extract	VERB
cana-3463	153	13	meaningful	meaningful	ADJ
cana-3463	153	14	information	information	NOUN
cana-3463	153	15	about	about	ADP
cana-3463	153	16	the	the	DET
cana-3463	153	17	structural	structural	ADJ
cana-3463	153	18	or	or	CCONJ
cana-3463	153	19	functional	functional	ADJ
cana-3463	153	20	aspects	aspect	NOUN
cana-3463	153	21	of	of	ADP
cana-3463	153	22	the	the	DET
cana-3463	153	23	dna	dna	PROPN
cana-3463	153	24	sequence	sequence	NOUN
cana-3463	153	25	.	.	PUNCT
cana-3463	154	1	the	the	DET
cana-3463	154	2	patterns	pattern	NOUN
cana-3463	154	3	and	and	CCONJ
cana-3463	154	4	magnitudes	magnitude	NOUN
cana-3463	154	5	of	of	ADP
cana-3463	154	6	correlations	correlation	NOUN
cana-3463	154	7	can	can	AUX
cana-3463	154	8	reveal	reveal	VERB
cana-3463	154	9	specific	specific	ADJ
cana-3463	154	10	features	feature	NOUN
cana-3463	154	11	or	or	CCONJ
cana-3463	154	12	characteristics	characteristic	NOUN
cana-3463	154	13	of	of	ADP
cana-3463	154	14	the	the	DET
cana-3463	154	15	sequence	sequence	NOUN
cana-3463	154	16	.	.	PUNCT
cana-3463	155	1	communications	communication	NOUN
cana-3463	155	2	on	on	ADP
cana-3463	155	3	applied	apply	VERB
cana-3463	155	4	nonlinear	nonlinear	ADJ
cana-3463	155	5	analysis	analysis	NOUN
cana-3463	155	6	issn	issn	NOUN
cana-3463	155	7	:	:	PUNCT
cana-3463	155	8	1074	1074	NUM
cana-3463	155	9	-	-	PUNCT
cana-3463	155	10	133x	133x	NUM
cana-3463	155	11	vol	vol	NOUN
cana-3463	155	12	32	32	NUM
cana-3463	155	13	no	no	NOUN
cana-3463	155	14	.	.	PUNCT
cana-3463	156	1	7s	7	NOUN
cana-3463	156	2	(	(	PUNCT
cana-3463	156	3	2025	2025	NUM
cana-3463	156	4	)	)	PUNCT
cana-3463	156	5	549	549	NUM
cana-3463	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	156	7	the	the	DET
cana-3463	156	8	voss	voss	PROPN
cana-3463	156	9	representation	representation	PROPN
cana-3463	156	10	and	and	CCONJ
cana-3463	156	11	long	long	ADJ
cana-3463	156	12	-	-	PUNCT
cana-3463	156	13	range	range	NOUN
cana-3463	156	14	fractional	fractional	ADJ
cana-3463	156	15	correlation	correlation	NOUN
cana-3463	156	16	technique	technique	NOUN
cana-3463	156	17	are	be	AUX
cana-3463	156	18	particularly	particularly	ADV
cana-3463	156	19	useful	useful	ADJ
cana-3463	156	20	for	for	ADP
cana-3463	156	21	identifying	identify	VERB
cana-3463	156	22	patterns	pattern	NOUN
cana-3463	156	23	,	,	PUNCT
cana-3463	156	24	motifs	motif	NOUN
cana-3463	156	25	,	,	PUNCT
cana-3463	156	26	and	and	CCONJ
cana-3463	156	27	structural	structural	ADJ
cana-3463	156	28	properties	property	NOUN
cana-3463	156	29	within	within	ADP
cana-3463	156	30	dna	dna	PROPN
cana-3463	156	31	sequences	sequence	NOUN
cana-3463	156	32	.	.	PUNCT
cana-3463	157	1	researchers	researcher	NOUN
cana-3463	157	2	may	may	AUX
cana-3463	157	3	use	use	VERB
cana-3463	157	4	this	this	DET
cana-3463	157	5	method	method	NOUN
cana-3463	157	6	to	to	PART
cana-3463	157	7	study	study	VERB
cana-3463	157	8	dna	dna	PROPN
cana-3463	157	9	sequences	sequence	NOUN
cana-3463	157	10	for	for	ADP
cana-3463	157	11	various	various	ADJ
cana-3463	157	12	purposes	purpose	NOUN
cana-3463	157	13	,	,	PUNCT
cana-3463	157	14	including	include	VERB
cana-3463	157	15	gene	gene	NOUN
cana-3463	157	16	prediction	prediction	NOUN
cana-3463	157	17	,	,	PUNCT
cana-3463	157	18	regulatory	regulatory	ADJ
cana-3463	157	19	element	element	NOUN
cana-3463	157	20	identification	identification	NOUN
cana-3463	157	21	,	,	PUNCT
cana-3463	157	22	and	and	CCONJ
cana-3463	157	23	understanding	understand	VERB
cana-3463	157	24	sequence	sequence	NOUN
cana-3463	157	25	evolution	evolution	NOUN
cana-3463	157	26	.	.	PUNCT
cana-3463	158	1	the	the	DET
cana-3463	158	2	schematic	schematic	ADJ
cana-3463	158	3	layout	layout	NOUN
cana-3463	158	4	of	of	ADP
cana-3463	158	5	the	the	DET
cana-3463	158	6	suggested	suggest	VERB
cana-3463	158	7	model	model	NOUN
cana-3463	158	8	is	be	AUX
cana-3463	158	9	presented	present	VERB
cana-3463	158	10	in	in	ADP
cana-3463	158	11	figure	figure	NOUN
cana-3463	158	12	3	3	NUM
cana-3463	158	13	.	.	PUNCT
cana-3463	158	14	figure	figure	VERB
cana-3463	158	15	3	3	NUM
cana-3463	158	16	.	.	PUNCT
cana-3463	158	17	architecture	architecture	NOUN
cana-3463	158	18	of	of	ADP
cana-3463	158	19	model	model	PROPN
cana-3463	158	20	numerical	numerical	PROPN
cana-3463	158	21	gene	gene	PROPN
cana-3463	158	22	data	datum	NOUN
cana-3463	158	23	into	into	ADP
cana-3463	158	24	spectrogram	spectrogram	NOUN
cana-3463	158	25	using	use	VERB
cana-3463	158	26	stft	stft	NOUN
cana-3463	158	27	converting	convert	VERB
cana-3463	158	28	numerical	numerical	ADJ
cana-3463	158	29	gene	gene	NOUN
cana-3463	158	30	data	datum	NOUN
cana-3463	158	31	into	into	ADP
cana-3463	158	32	a	a	DET
cana-3463	158	33	spectrogram	spectrogram	NOUN
cana-3463	158	34	using	use	VERB
cana-3463	158	35	the	the	DET
cana-3463	158	36	short	short	ADJ
cana-3463	158	37	-	-	PUNCT
cana-3463	158	38	time	time	NOUN
cana-3463	158	39	fourier	fourier	NOUN
cana-3463	158	40	transform	transform	NOUN
cana-3463	158	41	(	(	PUNCT
cana-3463	158	42	stft	stft	PROPN
cana-3463	158	43	)	)	PUNCT
cana-3463	159	1	[	[	X
cana-3463	159	2	16	16	NUM
cana-3463	159	3	]	]	PUNCT
cana-3463	159	4	involves	involve	VERB
cana-3463	159	5	a	a	DET
cana-3463	159	6	structured	structured	ADJ
cana-3463	159	7	process	process	NOUN
cana-3463	159	8	that	that	PRON
cana-3463	159	9	enables	enable	VERB
cana-3463	159	10	a	a	DET
cana-3463	159	11	detailed	detailed	ADJ
cana-3463	159	12	examination	examination	NOUN
cana-3463	159	13	of	of	ADP
cana-3463	159	14	the	the	DET
cana-3463	159	15	data	datum	NOUN
cana-3463	159	16	's	's	PART
cana-3463	159	17	frequency	frequency	NOUN
cana-3463	159	18	content	content	NOUN
cana-3463	159	19	over	over	ADP
cana-3463	159	20	time	time	NOUN
cana-3463	159	21	.	.	PUNCT
cana-3463	160	1	a	a	DET
cana-3463	160	2	spectrogram	spectrogram	NOUN
cana-3463	160	3	serves	serve	VERB
cana-3463	160	4	as	as	ADP
cana-3463	160	5	a	a	DET
cana-3463	160	6	visual	visual	ADJ
cana-3463	160	7	representation	representation	NOUN
cana-3463	160	8	that	that	PRON
cana-3463	160	9	captures	capture	VERB
cana-3463	160	10	how	how	SCONJ
cana-3463	160	11	signal	signal	ADJ
cana-3463	160	12	frequencies	frequency	NOUN
cana-3463	160	13	evolve	evolve	VERB
cana-3463	160	14	,	,	PUNCT
cana-3463	160	15	making	make	VERB
cana-3463	160	16	it	it	PRON
cana-3463	160	17	especially	especially	ADV
cana-3463	160	18	useful	useful	ADJ
cana-3463	160	19	in	in	ADP
cana-3463	160	20	the	the	DET
cana-3463	160	21	context	context	NOUN
cana-3463	160	22	of	of	ADP
cana-3463	160	23	numerical	numerical	ADJ
cana-3463	160	24	gene	gene	NOUN
cana-3463	160	25	data	datum	NOUN
cana-3463	160	26	analysis	analysis	NOUN
cana-3463	160	27	.	.	PUNCT
cana-3463	161	1	the	the	DET
cana-3463	161	2	process	process	NOUN
cana-3463	161	3	begins	begin	VERB
cana-3463	161	4	with	with	ADP
cana-3463	161	5	the	the	DET
cana-3463	161	6	preparation	preparation	NOUN
cana-3463	161	7	of	of	ADP
cana-3463	161	8	the	the	DET
cana-3463	161	9	gene	gene	NOUN
cana-3463	161	10	data	datum	NOUN
cana-3463	161	11	,	,	PUNCT
cana-3463	161	12	ensuring	ensure	VERB
cana-3463	161	13	its	its	PRON
cana-3463	161	14	compatibility	compatibility	NOUN
cana-3463	161	15	for	for	ADP
cana-3463	161	16	analysis	analysis	NOUN
cana-3463	161	17	.	.	PUNCT
cana-3463	162	1	subsequently	subsequently	ADV
cana-3463	162	2	,	,	PUNCT
cana-3463	162	3	the	the	DET
cana-3463	162	4	data	data	NOUN
cana-3463	162	5	is	be	AUX
cana-3463	162	6	partitioned	partition	VERB
cana-3463	162	7	into	into	ADP
cana-3463	162	8	overlapping	overlap	VERB
cana-3463	162	9	windows	window	NOUN
cana-3463	162	10	to	to	PART
cana-3463	162	11	facilitate	facilitate	VERB
cana-3463	162	12	the	the	DET
cana-3463	162	13	examination	examination	NOUN
cana-3463	162	14	of	of	ADP
cana-3463	162	15	frequency	frequency	NOUN
cana-3463	162	16	dynamics	dynamic	NOUN
cana-3463	162	17	across	across	ADP
cana-3463	162	18	short	short	ADJ
cana-3463	162	19	time	time	NOUN
cana-3463	162	20	intervals	interval	NOUN
cana-3463	162	21	.	.	PUNCT
cana-3463	163	1	the	the	DET
cana-3463	163	2	stft	stft	PROPN
cana-3463	163	3	is	be	AUX
cana-3463	163	4	then	then	ADV
cana-3463	163	5	applied	apply	VERB
cana-3463	163	6	to	to	ADP
cana-3463	163	7	each	each	DET
cana-3463	163	8	window	window	NOUN
cana-3463	163	9	,	,	PUNCT
cana-3463	163	10	providing	provide	VERB
cana-3463	163	11	insights	insight	NOUN
cana-3463	163	12	into	into	ADP
cana-3463	163	13	the	the	DET
cana-3463	163	14	frequency	frequency	NOUN
cana-3463	163	15	components	component	NOUN
cana-3463	163	16	at	at	ADP
cana-3463	163	17	various	various	ADJ
cana-3463	163	18	time	time	NOUN
cana-3463	163	19	points	point	NOUN
cana-3463	163	20	.	.	PUNCT
cana-3463	164	1	by	by	ADP
cana-3463	164	2	computing	compute	VERB
cana-3463	164	3	the	the	DET
cana-3463	164	4	power	power	NOUN
cana-3463	164	5	spectral	spectral	ADJ
cana-3463	164	6	density	density	NOUN
cana-3463	164	7	(	(	PUNCT
cana-3463	164	8	psd	psd	PROPN
cana-3463	164	9	)	)	PUNCT
cana-3463	164	10	,	,	PUNCT
cana-3463	164	11	the	the	DET
cana-3463	164	12	intensity	intensity	NOUN
cana-3463	164	13	of	of	ADP
cana-3463	164	14	different	different	ADJ
cana-3463	164	15	frequencies	frequency	NOUN
cana-3463	164	16	is	be	AUX
cana-3463	164	17	quantified	quantify	VERB
cana-3463	164	18	within	within	ADP
cana-3463	164	19	each	each	DET
cana-3463	164	20	segment	segment	NOUN
cana-3463	164	21	.	.	PUNCT
cana-3463	165	1	these	these	DET
cana-3463	165	2	psd	psd	NOUN
cana-3463	165	3	values	value	NOUN
cana-3463	165	4	are	be	AUX
cana-3463	165	5	organized	organize	VERB
cana-3463	165	6	over	over	ADP
cana-3463	165	7	time	time	NOUN
cana-3463	165	8	to	to	PART
cana-3463	165	9	form	form	VERB
cana-3463	165	10	a	a	DET
cana-3463	165	11	spectrogram	spectrogram	NOUN
cana-3463	165	12	,	,	PUNCT
cana-3463	165	13	which	which	PRON
cana-3463	165	14	can	can	AUX
cana-3463	165	15	be	be	AUX
cana-3463	165	16	visually	visually	ADV
cana-3463	165	17	represented	represent	VERB
cana-3463	165	18	using	use	VERB
cana-3463	165	19	color	color	NOUN
cana-3463	165	20	intensity	intensity	NOUN
cana-3463	165	21	to	to	PART
cana-3463	165	22	signify	signify	VERB
cana-3463	165	23	frequency	frequency	NOUN
cana-3463	165	24	strength	strength	NOUN
cana-3463	165	25	.	.	PUNCT
cana-3463	166	1	ultimately	ultimately	ADV
cana-3463	166	2	,	,	PUNCT
cana-3463	166	3	the	the	DET
cana-3463	166	4	resulting	result	VERB
cana-3463	166	5	spectrogram	spectrogram	NOUN
cana-3463	166	6	offers	offer	VERB
cana-3463	166	7	a	a	DET
cana-3463	166	8	dynamic	dynamic	ADJ
cana-3463	166	9	perspective	perspective	NOUN
cana-3463	166	10	on	on	ADP
cana-3463	166	11	the	the	DET
cana-3463	166	12	gene	gene	NOUN
cana-3463	166	13	data	datum	NOUN
cana-3463	166	14	's	's	PART
cana-3463	166	15	frequency	frequency	NOUN
cana-3463	166	16	characteristics	characteristic	NOUN
cana-3463	166	17	,	,	PUNCT
cana-3463	166	18	enabling	enable	VERB
cana-3463	166	19	the	the	DET
cana-3463	166	20	detection	detection	NOUN
cana-3463	166	21	of	of	ADP
cana-3463	166	22	patterns	pattern	NOUN
cana-3463	166	23	and	and	CCONJ
cana-3463	166	24	variations	variation	NOUN
cana-3463	166	25	that	that	PRON
cana-3463	166	26	may	may	AUX
cana-3463	166	27	correspond	correspond	VERB
cana-3463	166	28	to	to	ADP
cana-3463	166	29	specific	specific	ADJ
cana-3463	166	30	gene	gene	NOUN
cana-3463	166	31	expression	expression	NOUN
cana-3463	166	32	patterns	pattern	NOUN
cana-3463	166	33	or	or	CCONJ
cana-3463	166	34	biological	biological	ADJ
cana-3463	166	35	phenomena	phenomenon	NOUN
cana-3463	166	36	.	.	PUNCT
cana-3463	167	1	to	to	PART
cana-3463	167	2	implement	implement	VERB
cana-3463	167	3	this	this	DET
cana-3463	167	4	process	process	NOUN
cana-3463	167	5	,	,	PUNCT
cana-3463	167	6	python	python	PROPN
cana-3463	167	7	libraries	library	NOUN
cana-3463	167	8	like	like	VERB
cana-3463	167	9	numpy	numpy	NOUN
cana-3463	167	10	,	,	PUNCT
cana-3463	167	11	scipy	scipy	NOUN
cana-3463	167	12	,	,	PUNCT
cana-3463	167	13	and	and	CCONJ
cana-3463	167	14	matplotlib	matplotlib	PROPN
cana-3463	167	15	are	be	AUX
cana-3463	167	16	commonly	commonly	ADV
cana-3463	167	17	employed	employ	VERB
cana-3463	167	18	,	,	PUNCT
cana-3463	167	19	while	while	SCONJ
cana-3463	167	20	specialized	specialized	ADJ
cana-3463	167	21	signal	signal	NOUN
cana-3463	167	22	processing	processing	NOUN
cana-3463	167	23	libraries	library	NOUN
cana-3463	167	24	such	such	ADJ
cana-3463	167	25	as	as	ADP
cana-3463	167	26	librosa	librosa	NOUN
cana-3463	167	27	can	can	AUX
cana-3463	167	28	be	be	AUX
cana-3463	167	29	adapted	adapt	VERB
cana-3463	167	30	for	for	ADP
cana-3463	167	31	gene	gene	NOUN
cana-3463	167	32	data	datum	NOUN
cana-3463	167	33	analysis	analysis	NOUN
cana-3463	167	34	with	with	ADP
cana-3463	167	35	appropriate	appropriate	ADJ
cana-3463	167	36	preprocessing	preprocessing	NOUN
cana-3463	167	37	.	.	PUNCT
cana-3463	168	1	the	the	DET
cana-3463	168	2	transformation	transformation	NOUN
cana-3463	168	3	of	of	ADP
cana-3463	168	4	numerical	numerical	ADJ
cana-3463	168	5	gene	gene	NOUN
cana-3463	168	6	data	datum	NOUN
cana-3463	168	7	into	into	ADP
cana-3463	168	8	a	a	DET
cana-3463	168	9	spectrogram	spectrogram	NOUN
cana-3463	168	10	through	through	ADP
cana-3463	168	11	stft	stft	PROPN
cana-3463	168	12	empowers	empower	VERB
cana-3463	168	13	researchers	researcher	NOUN
cana-3463	168	14	to	to	PART
cana-3463	168	15	unravel	unravel	VERB
cana-3463	168	16	the	the	DET
cana-3463	168	17	intricate	intricate	ADJ
cana-3463	168	18	temporal	temporal	ADJ
cana-3463	168	19	and	and	CCONJ
cana-3463	168	20	frequency	frequency	NOUN
cana-3463	168	21	patterns	pattern	NOUN
cana-3463	168	22	inherent	inherent	ADJ
cana-3463	168	23	in	in	ADP
cana-3463	168	24	genomic	genomic	ADJ
cana-3463	168	25	sequences	sequence	NOUN
cana-3463	168	26	,	,	PUNCT
cana-3463	168	27	advancing	advance	VERB
cana-3463	168	28	our	our	PRON
cana-3463	168	29	understanding	understanding	NOUN
cana-3463	168	30	of	of	ADP
cana-3463	168	31	the	the	DET
cana-3463	168	32	underlying	underlying	ADJ
cana-3463	168	33	biological	biological	ADJ
cana-3463	168	34	mechanisms	mechanism	NOUN
cana-3463	168	35	.	.	PUNCT
cana-3463	169	1	communications	communication	NOUN
cana-3463	169	2	on	on	ADP
cana-3463	169	3	applied	apply	VERB
cana-3463	169	4	nonlinear	nonlinear	ADJ
cana-3463	169	5	analysis	analysis	NOUN
cana-3463	169	6	issn	issn	NOUN
cana-3463	169	7	:	:	PUNCT
cana-3463	169	8	1074	1074	NUM
cana-3463	169	9	-	-	PUNCT
cana-3463	169	10	133x	133x	NUM
cana-3463	169	11	vol	vol	NOUN
cana-3463	169	12	32	32	NUM
cana-3463	169	13	no	no	NOUN
cana-3463	169	14	.	.	PUNCT
cana-3463	170	1	7s	7	NOUN
cana-3463	170	2	(	(	PUNCT
cana-3463	170	3	2025	2025	NUM
cana-3463	170	4	)	)	PUNCT
cana-3463	170	5	550	550	NUM
cana-3463	171	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	171	2	classification	classification	NOUN
cana-3463	171	3	using	use	VERB
cana-3463	171	4	deep	deep	ADJ
cana-3463	171	5	learning	learning	NOUN
cana-3463	171	6	techniques	technique	NOUN
cana-3463	171	7	classifying	classify	VERB
cana-3463	171	8	breast	breast	NOUN
cana-3463	171	9	cancer	cancer	NOUN
cana-3463	171	10	genes	gene	NOUN
cana-3463	171	11	as	as	ADP
cana-3463	171	12	normal	normal	ADJ
cana-3463	171	13	or	or	CCONJ
cana-3463	171	14	cancerous	cancerous	ADJ
cana-3463	171	15	using	use	VERB
cana-3463	171	16	spectrogram	spectrogram	NOUN
cana-3463	171	17	images	image	NOUN
cana-3463	171	18	and	and	CCONJ
cana-3463	171	19	various	various	ADJ
cana-3463	171	20	deep	deep	ADJ
cana-3463	171	21	learning	learning	NOUN
cana-3463	171	22	techniques	technique	NOUN
cana-3463	171	23	involves	involve	VERB
cana-3463	171	24	a	a	DET
cana-3463	171	25	multi	multi	ADJ
cana-3463	171	26	-	-	ADJ
cana-3463	171	27	step	step	ADJ
cana-3463	171	28	process	process	NOUN
cana-3463	171	29	that	that	PRON
cana-3463	171	30	combines	combine	VERB
cana-3463	171	31	image	image	NOUN
cana-3463	171	32	analysis	analysis	NOUN
cana-3463	171	33	and	and	CCONJ
cana-3463	171	34	machine	machine	NOUN
cana-3463	171	35	learning	learning	NOUN
cana-3463	171	36	.	.	PUNCT
cana-3463	172	1	here	here	ADV
cana-3463	172	2	,	,	PUNCT
cana-3463	172	3	we	we	PRON
cana-3463	172	4	'll	will	AUX
cana-3463	172	5	provide	provide	VERB
cana-3463	172	6	a	a	DET
cana-3463	172	7	detailed	detailed	ADJ
cana-3463	172	8	description	description	NOUN
cana-3463	172	9	of	of	ADP
cana-3463	172	10	each	each	DET
cana-3463	172	11	deep	deep	ADJ
cana-3463	172	12	learning	learning	NOUN
cana-3463	172	13	method—1dcnn	method—1dcnn	PROPN
cana-3463	172	14	,	,	PUNCT
cana-3463	172	15	cnn	cnn	PROPN
cana-3463	172	16	,	,	PUNCT
cana-3463	172	17	rnn	rnn	PROPN
cana-3463	172	18	,	,	PUNCT
cana-3463	172	19	and	and	CCONJ
cana-3463	172	20	gnn	gnn	PROPN
cana-3463	172	21	—	—	PUNCT
cana-3463	172	22	for	for	ADP
cana-3463	172	23	this	this	DET
cana-3463	172	24	classification	classification	NOUN
cana-3463	172	25	task	task	NOUN
cana-3463	172	26	.	.	PUNCT
cana-3463	173	1	1	1	NUM
cana-3463	173	2	.	.	X
cana-3463	173	3	1d	1d	NUM
cana-3463	173	4	convolutional	convolutional	ADJ
cana-3463	173	5	neural	neural	ADJ
cana-3463	173	6	networks	network	NOUN
cana-3463	173	7	(	(	PUNCT
cana-3463	173	8	1dcnn	1dcnn	NUM
cana-3463	173	9	):	):	PUNCT
cana-3463	173	10	in	in	ADP
cana-3463	173	11	the	the	DET
cana-3463	173	12	process	process	NOUN
cana-3463	173	13	of	of	ADP
cana-3463	173	14	using	use	VERB
cana-3463	173	15	a	a	DET
cana-3463	173	16	1dcnn	1dcnn	NUM
cana-3463	173	17	for	for	ADP
cana-3463	173	18	breast	breast	NOUN
cana-3463	173	19	cancer	cancer	NOUN
cana-3463	173	20	gene	gene	NOUN
cana-3463	173	21	categorization	categorization	NOUN
cana-3463	173	22	based	base	VERB
cana-3463	173	23	on	on	ADP
cana-3463	173	24	spectrogram	spectrogram	NOUN
cana-3463	173	25	images	image	NOUN
cana-3463	173	26	,	,	PUNCT
cana-3463	173	27	data	datum	NOUN
cana-3463	173	28	preparation	preparation	NOUN
cana-3463	173	29	is	be	AUX
cana-3463	173	30	the	the	DET
cana-3463	173	31	initial	initial	ADJ
cana-3463	173	32	and	and	CCONJ
cana-3463	173	33	crucial	crucial	ADJ
cana-3463	173	34	step	step	NOUN
cana-3463	173	35	.	.	PUNCT
cana-3463	174	1	this	this	PRON
cana-3463	174	2	involves	involve	VERB
cana-3463	174	3	the	the	DET
cana-3463	174	4	collection	collection	NOUN
cana-3463	174	5	of	of	ADP
cana-3463	174	6	spectrogram	spectrogram	NOUN
cana-3463	174	7	images	image	NOUN
cana-3463	174	8	representing	represent	VERB
cana-3463	174	9	both	both	CCONJ
cana-3463	174	10	normal	normal	ADJ
cana-3463	174	11	and	and	CCONJ
cana-3463	174	12	breast	breast	NOUN
cana-3463	174	13	cancer	cancer	NOUN
cana-3463	174	14	genes	gene	NOUN
cana-3463	174	15	,	,	PUNCT
cana-3463	174	16	which	which	PRON
cana-3463	174	17	will	will	AUX
cana-3463	174	18	serve	serve	VERB
cana-3463	174	19	as	as	ADP
cana-3463	174	20	the	the	DET
cana-3463	174	21	primary	primary	ADJ
cana-3463	174	22	input	input	NOUN
cana-3463	174	23	data	datum	NOUN
cana-3463	174	24	for	for	ADP
cana-3463	174	25	the	the	DET
cana-3463	174	26	1dcnn	1dcnn	NUM
cana-3463	174	27	model	model	NOUN
cana-3463	174	28	.	.	PUNCT
cana-3463	175	1	following	follow	VERB
cana-3463	175	2	data	data	PROPN
cana-3463	175	3	acquisition	acquisition	NOUN
cana-3463	175	4	,	,	PUNCT
cana-3463	175	5	the	the	DET
cana-3463	175	6	model	model	NOUN
cana-3463	175	7	's	's	PART
cana-3463	175	8	architecture	architecture	NOUN
cana-3463	175	9	is	be	AUX
cana-3463	175	10	meticulously	meticulously	ADV
cana-3463	175	11	designed	design	VERB
cana-3463	175	12	to	to	PART
cana-3463	175	13	cater	cater	VERB
cana-3463	175	14	to	to	ADP
cana-3463	175	15	image	image	VERB
cana-3463	175	16	classification	classification	NOUN
cana-3463	175	17	tasks	task	NOUN
cana-3463	175	18	.	.	PUNCT
cana-3463	176	1	convolutional	convolutional	ADJ
cana-3463	176	2	layers	layer	NOUN
cana-3463	176	3	are	be	AUX
cana-3463	176	4	commonly	commonly	ADV
cana-3463	176	5	used	use	VERB
cana-3463	176	6	to	to	PART
cana-3463	176	7	extract	extract	VERB
cana-3463	176	8	characteristics	characteristic	NOUN
cana-3463	176	9	from	from	ADP
cana-3463	176	10	spectrogram	spectrogram	NOUN
cana-3463	176	11	pictures	picture	NOUN
cana-3463	176	12	,	,	PUNCT
cana-3463	176	13	pooling	pool	VERB
cana-3463	176	14	layers	layer	NOUN
cana-3463	176	15	are	be	AUX
cana-3463	176	16	used	use	VERB
cana-3463	176	17	to	to	PART
cana-3463	176	18	decrease	decrease	VERB
cana-3463	176	19	dimensionality	dimensionality	NOUN
cana-3463	176	20	,	,	PUNCT
cana-3463	176	21	and	and	CCONJ
cana-3463	176	22	fully	fully	ADV
cana-3463	176	23	linked	link	VERB
cana-3463	176	24	layers	layer	NOUN
cana-3463	176	25	allow	allow	VERB
cana-3463	176	26	for	for	ADP
cana-3463	176	27	categorization	categorization	NOUN
cana-3463	176	28	.	.	PUNCT
cana-3463	177	1	subsequently	subsequently	ADV
cana-3463	177	2	,	,	PUNCT
cana-3463	177	3	the	the	DET
cana-3463	177	4	dataset	dataset	NOUN
cana-3463	177	5	is	be	AUX
cana-3463	177	6	partitioned	partition	VERB
cana-3463	177	7	into	into	ADP
cana-3463	177	8	training	training	NOUN
cana-3463	177	9	and	and	CCONJ
cana-3463	177	10	validation	validation	NOUN
cana-3463	177	11	sets	set	NOUN
cana-3463	177	12	,	,	PUNCT
cana-3463	177	13	allowing	allow	VERB
cana-3463	177	14	for	for	ADP
cana-3463	177	15	robust	robust	ADJ
cana-3463	177	16	model	model	NOUN
cana-3463	177	17	training	training	NOUN
cana-3463	177	18	through	through	ADP
cana-3463	177	19	backpropagation	backpropagation	NOUN
cana-3463	177	20	.	.	PUNCT
cana-3463	178	1	during	during	ADP
cana-3463	178	2	training	training	NOUN
cana-3463	178	3	,	,	PUNCT
cana-3463	178	4	a	a	DET
cana-3463	178	5	suitable	suitable	ADJ
cana-3463	178	6	loss	loss	NOUN
cana-3463	178	7	function	function	NOUN
cana-3463	178	8	,	,	PUNCT
cana-3463	178	9	often	often	ADV
cana-3463	178	10	binary	binary	PROPN
cana-3463	178	11	cross	cross	NOUN
cana-3463	178	12	-	-	NOUN
cana-3463	178	13	entropy	entropy	ADJ
cana-3463	178	14	,	,	PUNCT
cana-3463	178	15	is	be	AUX
cana-3463	178	16	employed	employ	VERB
cana-3463	178	17	to	to	PART
cana-3463	178	18	guide	guide	VERB
cana-3463	178	19	the	the	DET
cana-3463	178	20	optimization	optimization	NOUN
cana-3463	178	21	process	process	NOUN
cana-3463	178	22	using	use	VERB
cana-3463	178	23	an	an	DET
cana-3463	178	24	optimizer	optimizer	NOUN
cana-3463	178	25	like	like	ADP
cana-3463	178	26	adam	adam	PROPN
cana-3463	178	27	.	.	PUNCT
cana-3463	179	1	once	once	SCONJ
cana-3463	179	2	the	the	DET
cana-3463	179	3	model	model	NOUN
cana-3463	179	4	has	have	AUX
cana-3463	179	5	been	be	AUX
cana-3463	179	6	trained	train	VERB
cana-3463	179	7	,	,	PUNCT
cana-3463	179	8	its	its	PRON
cana-3463	179	9	performance	performance	NOUN
cana-3463	179	10	is	be	AUX
cana-3463	179	11	rigorously	rigorously	ADV
cana-3463	179	12	assessed	assess	VERB
cana-3463	179	13	using	use	VERB
cana-3463	179	14	a	a	DET
cana-3463	179	15	comprehensive	comprehensive	ADJ
cana-3463	179	16	set	set	NOUN
cana-3463	179	17	of	of	ADP
cana-3463	179	18	metrics	metric	NOUN
cana-3463	179	19	,	,	PUNCT
cana-3463	179	20	including	include	VERB
cana-3463	179	21	accuracy	accuracy	NOUN
cana-3463	179	22	,	,	PUNCT
cana-3463	179	23	precision	precision	NOUN
cana-3463	179	24	,	,	PUNCT
cana-3463	179	25	recall	recall	NOUN
cana-3463	179	26	,	,	PUNCT
cana-3463	179	27	f1	f1	NOUN
cana-3463	179	28	-	-	PUNCT
cana-3463	179	29	score	score	NOUN
cana-3463	179	30	,	,	PUNCT
cana-3463	179	31	and	and	CCONJ
cana-3463	179	32	roc	roc	PROPN
cana-3463	179	33	auc	auc	NOUN
cana-3463	179	34	,	,	PUNCT
cana-3463	179	35	which	which	PRON
cana-3463	179	36	are	be	AUX
cana-3463	179	37	computed	compute	VERB
cana-3463	179	38	on	on	ADP
cana-3463	179	39	a	a	DET
cana-3463	179	40	distinct	distinct	ADJ
cana-3463	179	41	test	test	NOUN
cana-3463	179	42	dataset	dataset	NOUN
cana-3463	179	43	.	.	PUNCT
cana-3463	180	1	any	any	DET
cana-3463	180	2	necessary	necessary	ADJ
cana-3463	180	3	adjustments	adjustment	NOUN
cana-3463	180	4	to	to	ADP
cana-3463	180	5	hyperparameters	hyperparameter	NOUN
cana-3463	180	6	are	be	AUX
cana-3463	180	7	made	make	VERB
cana-3463	180	8	to	to	ADP
cana-3463	180	9	fine	fine	ADJ
cana-3463	180	10	-	-	PUNCT
cana-3463	180	11	tune	tune	NOUN
cana-3463	180	12	the	the	DET
cana-3463	180	13	model	model	NOUN
cana-3463	180	14	,	,	PUNCT
cana-3463	180	15	ensuring	ensure	VERB
cana-3463	180	16	its	its	PRON
cana-3463	180	17	efficacy	efficacy	NOUN
cana-3463	180	18	in	in	ADP
cana-3463	180	19	accurately	accurately	ADV
cana-3463	180	20	classifying	classify	VERB
cana-3463	180	21	breast	breast	NOUN
cana-3463	180	22	cancer	cancer	NOUN
cana-3463	180	23	genes	gene	NOUN
cana-3463	180	24	based	base	VERB
cana-3463	180	25	on	on	ADP
cana-3463	180	26	spectrogram	spectrogram	NOUN
cana-3463	180	27	data	datum	NOUN
cana-3463	180	28	.	.	PUNCT
cana-3463	181	1	this	this	DET
cana-3463	181	2	structured	structured	ADJ
cana-3463	181	3	approach	approach	NOUN
cana-3463	181	4	forms	form	VERB
cana-3463	181	5	the	the	DET
cana-3463	181	6	foundation	foundation	NOUN
cana-3463	181	7	for	for	ADP
cana-3463	181	8	harnessing	harness	VERB
cana-3463	181	9	the	the	DET
cana-3463	181	10	power	power	NOUN
cana-3463	181	11	of	of	ADP
cana-3463	181	12	deep	deep	ADJ
cana-3463	181	13	learning	learning	NOUN
cana-3463	181	14	to	to	PART
cana-3463	181	15	aid	aid	VERB
cana-3463	181	16	in	in	ADP
cana-3463	181	17	breast	breast	NOUN
cana-3463	181	18	cancer	cancer	NOUN
cana-3463	181	19	diagnosis	diagnosis	NOUN
cana-3463	181	20	and	and	CCONJ
cana-3463	181	21	research	research	NOUN
cana-3463	181	22	.	.	PUNCT
cana-3463	182	1	2	2	X
cana-3463	182	2	.	.	X
cana-3463	182	3	convolutional	convolutional	ADJ
cana-3463	182	4	neural	neural	ADJ
cana-3463	182	5	networks	network	NOUN
cana-3463	182	6	(	(	PUNCT
cana-3463	182	7	cnn	cnn	PROPN
cana-3463	182	8	):	):	PUNCT
cana-3463	182	9	for	for	ADP
cana-3463	182	10	breast	breast	NOUN
cana-3463	182	11	cancer	cancer	NOUN
cana-3463	182	12	gene	gene	NOUN
cana-3463	182	13	classification	classification	NOUN
cana-3463	182	14	using	use	VERB
cana-3463	182	15	a	a	DET
cana-3463	182	16	standard	standard	ADJ
cana-3463	182	17	convolutional	convolutional	ADJ
cana-3463	182	18	neural	neural	ADJ
cana-3463	182	19	network	network	NOUN
cana-3463	182	20	(	(	PUNCT
cana-3463	182	21	cnn	cnn	PROPN
cana-3463	182	22	)	)	PUNCT
cana-3463	182	23	on	on	ADP
cana-3463	182	24	spectrogram	spectrogram	NOUN
cana-3463	182	25	images	image	NOUN
cana-3463	182	26	,	,	PUNCT
cana-3463	182	27	the	the	DET
cana-3463	182	28	workflow	workflow	NOUN
cana-3463	182	29	closely	closely	ADV
cana-3463	182	30	follows	follow	VERB
cana-3463	182	31	the	the	DET
cana-3463	182	32	principles	principle	NOUN
cana-3463	182	33	of	of	ADP
cana-3463	182	34	data	datum	NOUN
cana-3463	182	35	preparation	preparation	NOUN
cana-3463	182	36	,	,	PUNCT
cana-3463	182	37	model	model	NOUN
cana-3463	182	38	architecture	architecture	NOUN
cana-3463	182	39	,	,	PUNCT
cana-3463	182	40	training	training	NOUN
cana-3463	182	41	,	,	PUNCT
cana-3463	182	42	and	and	CCONJ
cana-3463	182	43	evaluation	evaluation	NOUN
cana-3463	182	44	.	.	PUNCT
cana-3463	183	1	data	datum	NOUN
cana-3463	183	2	preparation	preparation	NOUN
cana-3463	183	3	is	be	AUX
cana-3463	183	4	akin	akin	ADJ
cana-3463	183	5	to	to	ADP
cana-3463	183	6	that	that	PRON
cana-3463	183	7	of	of	ADP
cana-3463	183	8	the	the	DET
cana-3463	183	9	1d	1d	NUM
cana-3463	183	10	convolutional	convolutional	ADJ
cana-3463	183	11	neural	neural	ADJ
cana-3463	183	12	network	network	NOUN
cana-3463	183	13	(	(	PUNCT
cana-3463	183	14	1dcnn	1dcnn	NUM
cana-3463	183	15	)	)	PUNCT
cana-3463	183	16	,	,	PUNCT
cana-3463	183	17	involving	involve	VERB
cana-3463	183	18	the	the	DET
cana-3463	183	19	collection	collection	NOUN
cana-3463	183	20	of	of	ADP
cana-3463	183	21	spectrogram	spectrogram	NOUN
cana-3463	183	22	images	image	NOUN
cana-3463	183	23	representing	represent	VERB
cana-3463	183	24	both	both	CCONJ
cana-3463	183	25	normal	normal	ADJ
cana-3463	183	26	and	and	CCONJ
cana-3463	183	27	breast	breast	NOUN
cana-3463	183	28	cancer	cancer	NOUN
cana-3463	183	29	genes	gene	NOUN
cana-3463	183	30	.	.	PUNCT
cana-3463	184	1	these	these	DET
cana-3463	184	2	images	image	NOUN
cana-3463	184	3	become	become	VERB
cana-3463	184	4	the	the	DET
cana-3463	184	5	raw	raw	ADJ
cana-3463	184	6	input	input	NOUN
cana-3463	184	7	data	datum	NOUN
cana-3463	184	8	for	for	ADP
cana-3463	184	9	the	the	DET
cana-3463	184	10	cnn	cnn	PROPN
cana-3463	184	11	model	model	NOUN
cana-3463	184	12	.	.	PUNCT
cana-3463	185	1	the	the	DET
cana-3463	185	2	model	model	NOUN
cana-3463	185	3	architecture	architecture	NOUN
cana-3463	185	4	is	be	AUX
cana-3463	185	5	a	a	DET
cana-3463	185	6	pivotal	pivotal	ADJ
cana-3463	185	7	component	component	NOUN
cana-3463	185	8	of	of	ADP
cana-3463	185	9	this	this	DET
cana-3463	185	10	process	process	NOUN
cana-3463	185	11	.	.	PUNCT
cana-3463	186	1	cnns	cnns	PROPN
cana-3463	186	2	,	,	PUNCT
cana-3463	186	3	renowned	renowne	VERB
cana-3463	186	4	for	for	ADP
cana-3463	186	5	their	their	PRON
cana-3463	186	6	prowess	prowess	NOUN
cana-3463	186	7	in	in	ADP
cana-3463	186	8	image	image	NOUN
cana-3463	186	9	analysis	analysis	NOUN
cana-3463	186	10	and	and	CCONJ
cana-3463	186	11	feature	feature	NOUN
cana-3463	186	12	extraction	extraction	NOUN
cana-3463	186	13	,	,	PUNCT
cana-3463	186	14	are	be	AUX
cana-3463	186	15	adept	adept	ADJ
cana-3463	186	16	at	at	ADP
cana-3463	186	17	capturing	capture	VERB
cana-3463	186	18	spatial	spatial	ADJ
cana-3463	186	19	features	feature	NOUN
cana-3463	186	20	within	within	ADP
cana-3463	186	21	images	image	NOUN
cana-3463	186	22	.	.	PUNCT
cana-3463	187	1	a	a	DET
cana-3463	187	2	well	well	ADV
cana-3463	187	3	-	-	PUNCT
cana-3463	187	4	designed	design	VERB
cana-3463	187	5	cnn	cnn	NOUN
cana-3463	187	6	architecture	architecture	NOUN
cana-3463	187	7	is	be	AUX
cana-3463	187	8	paramount	paramount	ADJ
cana-3463	187	9	in	in	ADP
cana-3463	187	10	leveraging	leverage	VERB
cana-3463	187	11	these	these	DET
cana-3463	187	12	capabilities	capability	NOUN
cana-3463	187	13	to	to	PART
cana-3463	187	14	effectively	effectively	ADV
cana-3463	187	15	classify	classify	VERB
cana-3463	187	16	breast	breast	NOUN
cana-3463	187	17	cancer	cancer	NOUN
cana-3463	187	18	genes	gene	NOUN
cana-3463	187	19	based	base	VERB
cana-3463	187	20	on	on	ADP
cana-3463	187	21	spectrogram	spectrogram	NOUN
cana-3463	187	22	data	datum	NOUN
cana-3463	187	23	.	.	PUNCT
cana-3463	188	1	to	to	PART
cana-3463	188	2	help	help	VERB
cana-3463	188	3	model	model	NOUN
cana-3463	188	4	training	training	NOUN
cana-3463	188	5	,	,	PUNCT
cana-3463	188	6	the	the	DET
cana-3463	188	7	dataset	dataset	NOUN
cana-3463	188	8	is	be	AUX
cana-3463	188	9	then	then	ADV
cana-3463	188	10	partitioned	partition	VERB
cana-3463	188	11	into	into	ADP
cana-3463	188	12	training	training	NOUN
cana-3463	188	13	and	and	CCONJ
cana-3463	188	14	validation	validation	NOUN
cana-3463	188	15	subsets	subset	NOUN
cana-3463	188	16	.	.	PUNCT
cana-3463	189	1	training	train	VERB
cana-3463	189	2	the	the	DET
cana-3463	189	3	model	model	NOUN
cana-3463	189	4	involves	involve	VERB
cana-3463	189	5	using	use	VERB
cana-3463	189	6	suitable	suitable	ADJ
cana-3463	189	7	loss	loss	NOUN
cana-3463	189	8	functions	function	NOUN
cana-3463	189	9	as	as	ADV
cana-3463	189	10	well	well	ADV
cana-3463	189	11	as	as	ADP
cana-3463	189	12	optimizers	optimizer	NOUN
cana-3463	189	13	to	to	PART
cana-3463	189	14	make	make	VERB
cana-3463	189	15	incremental	incremental	ADJ
cana-3463	189	16	improvements	improvement	NOUN
cana-3463	189	17	to	to	ADP
cana-3463	189	18	the	the	DET
cana-3463	189	19	model	model	NOUN
cana-3463	189	20	's	's	PART
cana-3463	189	21	parameters	parameter	NOUN
cana-3463	189	22	.	.	PUNCT
cana-3463	190	1	accuracy	accuracy	NOUN
cana-3463	190	2	,	,	PUNCT
cana-3463	190	3	precision	precision	NOUN
cana-3463	190	4	,	,	PUNCT
cana-3463	190	5	recall	recall	NOUN
cana-3463	190	6	,	,	PUNCT
cana-3463	190	7	f1	f1	NOUN
cana-3463	190	8	-	-	PUNCT
cana-3463	190	9	score	score	NOUN
cana-3463	190	10	,	,	PUNCT
cana-3463	190	11	and	and	CCONJ
cana-3463	190	12	roc	roc	PROPN
cana-3463	190	13	auc	auc	NOUN
cana-3463	190	14	are	be	AUX
cana-3463	190	15	only	only	ADV
cana-3463	190	16	few	few	ADJ
cana-3463	190	17	of	of	ADP
cana-3463	190	18	the	the	DET
cana-3463	190	19	classification	classification	NOUN
cana-3463	190	20	metrics	metric	NOUN
cana-3463	190	21	used	use	VERB
cana-3463	190	22	to	to	PART
cana-3463	190	23	thoroughly	thoroughly	ADV
cana-3463	190	24	assess	assess	VERB
cana-3463	190	25	the	the	DET
cana-3463	190	26	model	model	NOUN
cana-3463	190	27	's	's	PART
cana-3463	190	28	performance	performance	NOUN
cana-3463	190	29	.	.	PUNCT
cana-3463	191	1	measures	measure	NOUN
cana-3463	191	2	such	such	ADJ
cana-3463	191	3	as	as	ADP
cana-3463	191	4	these	these	PRON
cana-3463	191	5	reveal	reveal	VERB
cana-3463	191	6	how	how	SCONJ
cana-3463	191	7	well	well	ADV
cana-3463	191	8	the	the	DET
cana-3463	191	9	model	model	NOUN
cana-3463	191	10	can	can	AUX
cana-3463	191	11	use	use	VERB
cana-3463	191	12	spectrogram	spectrogram	NOUN
cana-3463	191	13	feature	feature	NOUN
cana-3463	191	14	extraction	extraction	NOUN
cana-3463	191	15	to	to	PART
cana-3463	191	16	distinguish	distinguish	VERB
cana-3463	191	17	between	between	ADP
cana-3463	191	18	normal	normal	ADJ
cana-3463	191	19	and	and	CCONJ
cana-3463	191	20	cancerous	cancerous	ADJ
cana-3463	191	21	genes	gene	NOUN
cana-3463	191	22	.	.	PUNCT
cana-3463	192	1	due	due	ADP
cana-3463	192	2	to	to	ADP
cana-3463	192	3	its	its	PRON
cana-3463	192	4	methodical	methodical	ADJ
cana-3463	192	5	design	design	NOUN
cana-3463	192	6	,	,	PUNCT
cana-3463	192	7	the	the	DET
cana-3463	192	8	cnn	cnn	PROPN
cana-3463	192	9	is	be	AUX
cana-3463	192	10	an	an	DET
cana-3463	192	11	effective	effective	ADJ
cana-3463	192	12	instrument	instrument	NOUN
cana-3463	192	13	for	for	ADP
cana-3463	192	14	diagnosing	diagnose	VERB
cana-3463	192	15	and	and	CCONJ
cana-3463	192	16	studying	study	VERB
cana-3463	192	17	breast	breast	NOUN
cana-3463	192	18	cancer	cancer	NOUN
cana-3463	192	19	.	.	PUNCT
cana-3463	193	1	3	3	X
cana-3463	193	2	.	.	X
cana-3463	193	3	recurrent	recurrent	ADJ
cana-3463	193	4	neural	neural	ADJ
cana-3463	193	5	networks	network	NOUN
cana-3463	193	6	(	(	PUNCT
cana-3463	193	7	rnn	rnn	PROPN
cana-3463	193	8	):	):	PUNCT
cana-3463	193	9	in	in	ADP
cana-3463	193	10	the	the	DET
cana-3463	193	11	context	context	NOUN
cana-3463	193	12	of	of	ADP
cana-3463	193	13	breast	breast	NOUN
cana-3463	193	14	cancer	cancer	NOUN
cana-3463	193	15	gene	gene	NOUN
cana-3463	193	16	classification	classification	NOUN
cana-3463	193	17	using	use	VERB
cana-3463	193	18	recurrent	recurrent	ADJ
cana-3463	193	19	neural	neural	ADJ
cana-3463	193	20	networks	network	NOUN
cana-3463	193	21	(	(	PUNCT
cana-3463	193	22	rnn	rnn	PROPN
cana-3463	193	23	)	)	PUNCT
cana-3463	193	24	on	on	ADP
cana-3463	193	25	spectrogram	spectrogram	NOUN
cana-3463	193	26	images	image	NOUN
cana-3463	193	27	,	,	PUNCT
cana-3463	193	28	the	the	DET
cana-3463	193	29	process	process	NOUN
cana-3463	193	30	involves	involve	VERB
cana-3463	193	31	distinct	distinct	ADJ
cana-3463	193	32	stages	stage	NOUN
cana-3463	193	33	,	,	PUNCT
cana-3463	193	34	starting	start	VERB
cana-3463	193	35	with	with	ADP
cana-3463	193	36	data	datum	NOUN
cana-3463	193	37	preparation	preparation	NOUN
cana-3463	193	38	.	.	PUNCT
cana-3463	194	1	here	here	ADV
cana-3463	194	2	,	,	PUNCT
cana-3463	194	3	the	the	DET
cana-3463	194	4	spectrogram	spectrogram	NOUN
cana-3463	194	5	images	image	NOUN
cana-3463	194	6	are	be	AUX
cana-3463	194	7	transformed	transform	VERB
cana-3463	194	8	into	into	ADP
cana-3463	194	9	sequences	sequence	NOUN
cana-3463	194	10	of	of	ADP
cana-3463	194	11	data	datum	NOUN
cana-3463	194	12	points	point	NOUN
cana-3463	194	13	that	that	PRON
cana-3463	194	14	encapsulate	encapsulate	VERB
cana-3463	194	15	the	the	DET
cana-3463	194	16	essential	essential	ADJ
cana-3463	194	17	image	image	NOUN
cana-3463	194	18	features	feature	NOUN
cana-3463	194	19	.	.	PUNCT
cana-3463	195	1	this	this	DET
cana-3463	195	2	transformation	transformation	NOUN
cana-3463	195	3	often	often	ADV
cana-3463	195	4	necessitates	necessitate	VERB
cana-3463	195	5	flattening	flatten	VERB
cana-3463	195	6	the	the	DET
cana-3463	195	7	spectrogram	spectrogram	NOUN
cana-3463	195	8	images	image	NOUN
cana-3463	195	9	into	into	ADP
cana-3463	195	10	1d	1d	NUM
cana-3463	195	11	arrays	array	NOUN
cana-3463	195	12	,	,	PUNCT
cana-3463	195	13	making	make	VERB
cana-3463	195	14	them	they	PRON
cana-3463	195	15	amenable	amenable	ADJ
cana-3463	195	16	to	to	ADP
cana-3463	195	17	processing	processing	NOUN
cana-3463	195	18	by	by	ADP
cana-3463	195	19	the	the	DET
cana-3463	195	20	rnn	rnn	NOUN
cana-3463	195	21	.	.	PUNCT
cana-3463	196	1	the	the	DET
cana-3463	196	2	subsequent	subsequent	ADJ
cana-3463	196	3	step	step	NOUN
cana-3463	196	4	entails	entail	VERB
cana-3463	196	5	the	the	DET
cana-3463	196	6	design	design	NOUN
cana-3463	196	7	of	of	ADP
cana-3463	196	8	an	an	DET
cana-3463	196	9	rnn	rnn	NOUN
cana-3463	196	10	model	model	NOUN
cana-3463	196	11	architecture	architecture	NOUN
cana-3463	196	12	capable	capable	ADJ
cana-3463	196	13	of	of	ADP
cana-3463	196	14	handling	handle	VERB
cana-3463	196	15	sequential	sequential	ADJ
cana-3463	196	16	data	datum	NOUN
cana-3463	196	17	.	.	PUNCT
cana-3463	197	1	popular	popular	ADJ
cana-3463	197	2	rnn	rnn	NOUN
cana-3463	197	3	variants	variant	NOUN
cana-3463	197	4	such	such	ADJ
cana-3463	197	5	as	as	ADP
cana-3463	197	6	long	long	ADJ
cana-3463	197	7	short	short	ADJ
cana-3463	197	8	-	-	PUNCT
cana-3463	197	9	term	term	NOUN
cana-3463	197	10	memory	memory	NOUN
cana-3463	197	11	(	(	PUNCT
cana-3463	197	12	lstm	lstm	NOUN
cana-3463	197	13	)	)	PUNCT
cana-3463	197	14	or	or	CCONJ
cana-3463	197	15	gated	gate	VERB
cana-3463	197	16	recurrent	recurrent	ADJ
cana-3463	197	17	unit	unit	NOUN
cana-3463	197	18	(	(	PUNCT
cana-3463	197	19	gru	gru	NOUN
cana-3463	197	20	)	)	PUNCT
cana-3463	197	21	are	be	AUX
cana-3463	197	22	well	well	ADV
cana-3463	197	23	-	-	PUNCT
cana-3463	197	24	suited	suit	VERB
cana-3463	197	25	for	for	ADP
cana-3463	197	26	this	this	DET
cana-3463	197	27	task	task	NOUN
cana-3463	197	28	.	.	PUNCT
cana-3463	198	1	these	these	DET
cana-3463	198	2	communications	communication	NOUN
cana-3463	198	3	on	on	ADP
cana-3463	198	4	applied	apply	VERB
cana-3463	198	5	nonlinear	nonlinear	ADJ
cana-3463	198	6	analysis	analysis	NOUN
cana-3463	198	7	issn	issn	NOUN
cana-3463	198	8	:	:	PUNCT
cana-3463	198	9	1074	1074	NUM
cana-3463	198	10	-	-	PUNCT
cana-3463	198	11	133x	133x	NUM
cana-3463	198	12	vol	vol	NOUN
cana-3463	198	13	32	32	NUM
cana-3463	198	14	no	no	NOUN
cana-3463	198	15	.	.	PUNCT
cana-3463	199	1	7s	7	NOUN
cana-3463	199	2	(	(	PUNCT
cana-3463	199	3	2025	2025	NUM
cana-3463	199	4	)	)	PUNCT
cana-3463	199	5	551	551	NUM
cana-3463	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	199	7	architectures	architecture	NOUN
cana-3463	199	8	enable	enable	VERB
cana-3463	199	9	the	the	DET
cana-3463	199	10	model	model	NOUN
cana-3463	199	11	to	to	PART
cana-3463	199	12	capture	capture	VERB
cana-3463	199	13	dependencies	dependency	NOUN
cana-3463	199	14	and	and	CCONJ
cana-3463	199	15	patterns	pattern	NOUN
cana-3463	199	16	within	within	ADP
cana-3463	199	17	the	the	DET
cana-3463	199	18	sequential	sequential	ADJ
cana-3463	199	19	data	datum	NOUN
cana-3463	199	20	,	,	PUNCT
cana-3463	199	21	which	which	PRON
cana-3463	199	22	is	be	AUX
cana-3463	199	23	essential	essential	ADJ
cana-3463	199	24	for	for	ADP
cana-3463	199	25	effectively	effectively	ADV
cana-3463	199	26	classifying	classify	VERB
cana-3463	199	27	breast	breast	NOUN
cana-3463	199	28	cancer	cancer	NOUN
cana-3463	199	29	genes	gene	NOUN
cana-3463	199	30	based	base	VERB
cana-3463	199	31	on	on	ADP
cana-3463	199	32	spectrogram	spectrogram	NOUN
cana-3463	199	33	-	-	PUNCT
cana-3463	199	34	derived	derive	VERB
cana-3463	199	35	sequences	sequence	NOUN
cana-3463	199	36	.	.	PUNCT
cana-3463	200	1	then	then	ADV
cana-3463	200	2	,	,	PUNCT
cana-3463	200	3	to	to	PART
cana-3463	200	4	make	make	VERB
cana-3463	200	5	it	it	PRON
cana-3463	200	6	easier	easy	ADJ
cana-3463	200	7	to	to	PART
cana-3463	200	8	train	train	VERB
cana-3463	200	9	the	the	DET
cana-3463	200	10	algorithm	algorithm	NOUN
cana-3463	200	11	,	,	PUNCT
cana-3463	200	12	the	the	DET
cana-3463	200	13	dataset	dataset	NOUN
cana-3463	200	14	is	be	AUX
cana-3463	200	15	split	split	VERB
cana-3463	200	16	into	into	ADP
cana-3463	200	17	training	training	NOUN
cana-3463	200	18	and	and	CCONJ
cana-3463	200	19	validation	validation	NOUN
cana-3463	200	20	halves	half	NOUN
cana-3463	200	21	.	.	PUNCT
cana-3463	201	1	during	during	ADP
cana-3463	201	2	training	training	NOUN
cana-3463	201	3	,	,	PUNCT
cana-3463	201	4	sequence	sequence	NOUN
cana-3463	201	5	-	-	PUNCT
cana-3463	201	6	level	level	NOUN
cana-3463	201	7	loss	loss	NOUN
cana-3463	201	8	functions	function	NOUN
cana-3463	201	9	like	like	ADP
cana-3463	201	10	categorical	categorical	ADJ
cana-3463	201	11	cross	cross	NOUN
cana-3463	201	12	-	-	NOUN
cana-3463	201	13	entropy	entropy	NOUN
cana-3463	201	14	are	be	AUX
cana-3463	201	15	employed	employ	VERB
cana-3463	201	16	to	to	PART
cana-3463	201	17	guide	guide	VERB
cana-3463	201	18	the	the	DET
cana-3463	201	19	optimization	optimization	NOUN
cana-3463	201	20	process	process	NOUN
cana-3463	201	21	.	.	PUNCT
cana-3463	202	1	these	these	DET
cana-3463	202	2	loss	loss	NOUN
cana-3463	202	3	functions	function	NOUN
cana-3463	202	4	consider	consider	VERB
cana-3463	202	5	the	the	DET
cana-3463	202	6	entire	entire	ADJ
cana-3463	202	7	sequence	sequence	NOUN
cana-3463	202	8	as	as	ADP
cana-3463	202	9	the	the	DET
cana-3463	202	10	prediction	prediction	NOUN
cana-3463	202	11	,	,	PUNCT
cana-3463	202	12	aligning	align	VERB
cana-3463	202	13	with	with	ADP
cana-3463	202	14	the	the	DET
cana-3463	202	15	nature	nature	NOUN
cana-3463	202	16	of	of	ADP
cana-3463	202	17	the	the	DET
cana-3463	202	18	data	datum	NOUN
cana-3463	202	19	.	.	PUNCT
cana-3463	203	1	finally	finally	ADV
cana-3463	203	2	,	,	PUNCT
cana-3463	203	3	the	the	DET
cana-3463	203	4	effectiveness	effectiveness	NOUN
cana-3463	203	5	of	of	ADP
cana-3463	203	6	the	the	DET
cana-3463	203	7	rnn	rnn	NOUN
cana-3463	203	8	method	method	NOUN
cana-3463	203	9	is	be	AUX
cana-3463	203	10	rigorously	rigorously	ADV
cana-3463	203	11	assessed	assess	VERB
cana-3463	203	12	during	during	ADP
cana-3463	203	13	the	the	DET
cana-3463	203	14	evaluation	evaluation	NOUN
cana-3463	203	15	phase	phase	NOUN
cana-3463	203	16	.	.	PUNCT
cana-3463	204	1	sequence	sequence	NOUN
cana-3463	204	2	-	-	PUNCT
cana-3463	204	3	level	level	NOUN
cana-3463	204	4	metrics	metric	NOUN
cana-3463	204	5	are	be	AUX
cana-3463	204	6	used	use	VERB
cana-3463	204	7	to	to	PART
cana-3463	204	8	evaluate	evaluate	VERB
cana-3463	204	9	the	the	DET
cana-3463	204	10	model	model	NOUN
cana-3463	204	11	,	,	PUNCT
cana-3463	204	12	considering	consider	VERB
cana-3463	204	13	the	the	DET
cana-3463	204	14	entire	entire	ADJ
cana-3463	204	15	sequence	sequence	NOUN
cana-3463	204	16	as	as	ADP
cana-3463	204	17	the	the	DET
cana-3463	204	18	prediction	prediction	NOUN
cana-3463	204	19	unit	unit	NOUN
cana-3463	204	20	.	.	PUNCT
cana-3463	205	1	this	this	DET
cana-3463	205	2	comprehensive	comprehensive	ADJ
cana-3463	205	3	evaluation	evaluation	NOUN
cana-3463	205	4	ensures	ensure	VERB
cana-3463	205	5	that	that	SCONJ
cana-3463	205	6	the	the	DET
cana-3463	205	7	rnn	rnn	NOUN
cana-3463	205	8	effectively	effectively	ADV
cana-3463	205	9	leverages	leverage	VERB
cana-3463	205	10	the	the	DET
cana-3463	205	11	sequential	sequential	ADJ
cana-3463	205	12	nature	nature	NOUN
cana-3463	205	13	of	of	ADP
cana-3463	205	14	the	the	DET
cana-3463	205	15	spectrogram	spectrogram	NOUN
cana-3463	205	16	data	datum	NOUN
cana-3463	205	17	,	,	PUNCT
cana-3463	205	18	allowing	allow	VERB
cana-3463	205	19	for	for	ADP
cana-3463	205	20	accurate	accurate	ADJ
cana-3463	205	21	and	and	CCONJ
cana-3463	205	22	robust	robust	ADJ
cana-3463	205	23	classification	classification	NOUN
cana-3463	205	24	of	of	ADP
cana-3463	205	25	breast	breast	NOUN
cana-3463	205	26	cancer	cancer	NOUN
cana-3463	205	27	genes	gene	NOUN
cana-3463	205	28	.	.	PUNCT
cana-3463	206	1	this	this	DET
cana-3463	206	2	approach	approach	NOUN
cana-3463	206	3	harnesses	harness	VERB
cana-3463	206	4	the	the	DET
cana-3463	206	5	power	power	NOUN
cana-3463	206	6	of	of	ADP
cana-3463	206	7	recurrent	recurrent	ADJ
cana-3463	206	8	neural	neural	ADJ
cana-3463	206	9	networks	network	NOUN
cana-3463	206	10	to	to	PART
cana-3463	206	11	uncover	uncover	VERB
cana-3463	206	12	intricate	intricate	ADJ
cana-3463	206	13	patterns	pattern	NOUN
cana-3463	206	14	and	and	CCONJ
cana-3463	206	15	relationships	relationship	NOUN
cana-3463	206	16	within	within	ADP
cana-3463	206	17	the	the	DET
cana-3463	206	18	gene	gene	NOUN
cana-3463	206	19	data	datum	NOUN
cana-3463	206	20	,	,	PUNCT
cana-3463	206	21	contributing	contribute	VERB
cana-3463	206	22	to	to	ADP
cana-3463	206	23	the	the	DET
cana-3463	206	24	advancement	advancement	NOUN
cana-3463	206	25	of	of	ADP
cana-3463	206	26	breast	breast	NOUN
cana-3463	206	27	cancer	cancer	NOUN
cana-3463	206	28	research	research	NOUN
cana-3463	206	29	and	and	CCONJ
cana-3463	206	30	diagnosis	diagnosis	NOUN
cana-3463	206	31	.	.	PUNCT
cana-3463	207	1	4	4	X
cana-3463	207	2	.	.	X
cana-3463	207	3	graph	graph	VERB
cana-3463	207	4	neural	neural	ADJ
cana-3463	207	5	networks	network	NOUN
cana-3463	207	6	(	(	PUNCT
cana-3463	207	7	gnn	gnn	PROPN
cana-3463	207	8	):	):	PUNCT
cana-3463	207	9	when	when	SCONJ
cana-3463	207	10	employing	employ	VERB
cana-3463	207	11	gnns	gnns	NOUN
cana-3463	207	12	for	for	ADP
cana-3463	207	13	the	the	DET
cana-3463	207	14	classification	classification	NOUN
cana-3463	207	15	of	of	ADP
cana-3463	207	16	breast	breast	NOUN
cana-3463	207	17	cancer	cancer	NOUN
cana-3463	207	18	genes	gene	NOUN
cana-3463	207	19	,	,	PUNCT
cana-3463	207	20	the	the	DET
cana-3463	207	21	workflow	workflow	NOUN
cana-3463	207	22	embraces	embrace	VERB
cana-3463	207	23	the	the	DET
cana-3463	207	24	inherent	inherent	ADJ
cana-3463	207	25	graph	graph	NOUN
cana-3463	207	26	-	-	PUNCT
cana-3463	207	27	like	like	ADJ
cana-3463	207	28	structure	structure	NOUN
cana-3463	207	29	of	of	ADP
cana-3463	207	30	the	the	DET
cana-3463	207	31	data	datum	NOUN
cana-3463	207	32	.	.	PUNCT
cana-3463	208	1	the	the	DET
cana-3463	208	2	initial	initial	ADJ
cana-3463	208	3	step	step	NOUN
cana-3463	208	4	,	,	PUNCT
cana-3463	208	5	data	datum	NOUN
cana-3463	208	6	preparation	preparation	NOUN
cana-3463	208	7	,	,	PUNCT
cana-3463	208	8	involves	involve	VERB
cana-3463	208	9	representing	represent	VERB
cana-3463	208	10	the	the	DET
cana-3463	208	11	genetic	genetic	ADJ
cana-3463	208	12	data	datum	NOUN
cana-3463	208	13	as	as	ADP
cana-3463	208	14	a	a	DET
cana-3463	208	15	graph	graph	NOUN
cana-3463	208	16	structure	structure	NOUN
cana-3463	208	17	,	,	PUNCT
cana-3463	208	18	with	with	ADP
cana-3463	208	19	individual	individual	ADJ
cana-3463	208	20	genes	gene	NOUN
cana-3463	208	21	as	as	ADP
cana-3463	208	22	nodes	node	NOUN
cana-3463	208	23	and	and	CCONJ
cana-3463	208	24	their	their	PRON
cana-3463	208	25	relationships	relationship	NOUN
cana-3463	208	26	as	as	ADP
cana-3463	208	27	edges	edge	NOUN
cana-3463	208	28	.	.	PUNCT
cana-3463	209	1	this	this	DET
cana-3463	209	2	graph	graph	NOUN
cana-3463	209	3	-	-	PUNCT
cana-3463	209	4	based	base	VERB
cana-3463	209	5	representation	representation	NOUN
cana-3463	209	6	is	be	AUX
cana-3463	209	7	particularly	particularly	ADV
cana-3463	209	8	adept	adept	ADJ
cana-3463	209	9	at	at	ADP
cana-3463	209	10	capturing	capture	VERB
cana-3463	209	11	intricate	intricate	ADJ
cana-3463	209	12	interactions	interaction	NOUN
cana-3463	209	13	and	and	CCONJ
cana-3463	209	14	dependencies	dependency	NOUN
cana-3463	209	15	between	between	ADP
cana-3463	209	16	genes	gene	NOUN
cana-3463	209	17	,	,	PUNCT
cana-3463	209	18	which	which	PRON
cana-3463	209	19	can	can	AUX
cana-3463	209	20	be	be	AUX
cana-3463	209	21	pivotal	pivotal	ADJ
cana-3463	209	22	in	in	ADP
cana-3463	209	23	understanding	understand	VERB
cana-3463	209	24	cancer	cancer	NOUN
cana-3463	209	25	biology	biology	NOUN
cana-3463	209	26	.	.	PUNCT
cana-3463	210	1	the	the	DET
cana-3463	210	2	subsequent	subsequent	ADJ
cana-3463	210	3	phase	phase	NOUN
cana-3463	210	4	revolves	revolve	VERB
cana-3463	210	5	around	around	ADP
cana-3463	210	6	the	the	DET
cana-3463	210	7	development	development	NOUN
cana-3463	210	8	of	of	ADP
cana-3463	210	9	a	a	DET
cana-3463	210	10	specialized	specialized	ADJ
cana-3463	210	11	gnn	gnn	PROPN
cana-3463	210	12	model	model	NOUN
cana-3463	210	13	tailored	tailor	VERB
cana-3463	210	14	to	to	PART
cana-3463	210	15	process	process	VERB
cana-3463	210	16	graphstructured	graphstructured	ADJ
cana-3463	210	17	data	datum	NOUN
cana-3463	210	18	.	.	PUNCT
cana-3463	211	1	gnns	gnns	PROPN
cana-3463	211	2	excel	excel	VERB
cana-3463	211	3	in	in	ADP
cana-3463	211	4	tasks	task	NOUN
cana-3463	211	5	where	where	SCONJ
cana-3463	211	6	the	the	DET
cana-3463	211	7	relationships	relationship	NOUN
cana-3463	211	8	between	between	ADP
cana-3463	211	9	data	datum	NOUN
cana-3463	211	10	points	point	NOUN
cana-3463	211	11	play	play	VERB
cana-3463	211	12	a	a	DET
cana-3463	211	13	pivotal	pivotal	ADJ
cana-3463	211	14	role	role	NOUN
cana-3463	211	15	,	,	PUNCT
cana-3463	211	16	making	make	VERB
cana-3463	211	17	them	they	PRON
cana-3463	211	18	an	an	DET
cana-3463	211	19	ideal	ideal	ADJ
cana-3463	211	20	choice	choice	NOUN
cana-3463	211	21	for	for	ADP
cana-3463	211	22	gene	gene	NOUN
cana-3463	211	23	classification	classification	NOUN
cana-3463	211	24	in	in	ADP
cana-3463	211	25	the	the	DET
cana-3463	211	26	context	context	NOUN
cana-3463	211	27	of	of	ADP
cana-3463	211	28	breast	breast	NOUN
cana-3463	211	29	cancer	cancer	NOUN
cana-3463	211	30	research	research	NOUN
cana-3463	211	31	.	.	PUNCT
cana-3463	212	1	to	to	PART
cana-3463	212	2	facilitate	facilitate	VERB
cana-3463	212	3	robust	robust	ADJ
cana-3463	212	4	model	model	NOUN
cana-3463	212	5	training	training	NOUN
cana-3463	212	6	,	,	PUNCT
cana-3463	212	7	the	the	DET
cana-3463	212	8	dataset	dataset	NOUN
cana-3463	212	9	is	be	AUX
cana-3463	212	10	thoughtfully	thoughtfully	ADV
cana-3463	212	11	divided	divide	VERB
cana-3463	212	12	into	into	ADP
cana-3463	212	13	training	training	NOUN
cana-3463	212	14	and	and	CCONJ
cana-3463	212	15	validation	validation	NOUN
cana-3463	212	16	subsets	subset	NOUN
cana-3463	212	17	.	.	PUNCT
cana-3463	213	1	during	during	ADP
cana-3463	213	2	training	training	NOUN
cana-3463	213	3	,	,	PUNCT
cana-3463	213	4	graph	graph	NOUN
cana-3463	213	5	-	-	PUNCT
cana-3463	213	6	specific	specific	ADJ
cana-3463	213	7	loss	loss	NOUN
cana-3463	213	8	functions	function	NOUN
cana-3463	213	9	are	be	AUX
cana-3463	213	10	employed	employ	VERB
cana-3463	213	11	to	to	PART
cana-3463	213	12	guide	guide	VERB
cana-3463	213	13	the	the	DET
cana-3463	213	14	optimization	optimization	NOUN
cana-3463	213	15	process	process	NOUN
cana-3463	213	16	,	,	PUNCT
cana-3463	213	17	ensuring	ensure	VERB
cana-3463	213	18	that	that	SCONJ
cana-3463	213	19	the	the	DET
cana-3463	213	20	model	model	NOUN
cana-3463	213	21	learns	learn	VERB
cana-3463	213	22	to	to	PART
cana-3463	213	23	leverage	leverage	VERB
cana-3463	213	24	the	the	DET
cana-3463	213	25	inherent	inherent	ADJ
cana-3463	213	26	graph	graph	NOUN
cana-3463	213	27	structure	structure	NOUN
cana-3463	213	28	effectively	effectively	ADV
cana-3463	213	29	.	.	PUNCT
cana-3463	214	1	the	the	DET
cana-3463	214	2	evaluation	evaluation	NOUN
cana-3463	214	3	of	of	ADP
cana-3463	214	4	the	the	DET
cana-3463	214	5	gnn	gnn	PROPN
cana-3463	214	6	model	model	NOUN
cana-3463	214	7	is	be	AUX
cana-3463	214	8	conducted	conduct	VERB
cana-3463	214	9	using	use	VERB
cana-3463	214	10	appropriate	appropriate	ADJ
cana-3463	214	11	graph	graph	NOUN
cana-3463	214	12	-	-	PUNCT
cana-3463	214	13	based	base	VERB
cana-3463	214	14	metrics	metric	NOUN
cana-3463	214	15	,	,	PUNCT
cana-3463	214	16	which	which	PRON
cana-3463	214	17	take	take	VERB
cana-3463	214	18	into	into	ADP
cana-3463	214	19	account	account	NOUN
cana-3463	214	20	the	the	DET
cana-3463	214	21	entire	entire	ADJ
cana-3463	214	22	gene	gene	NOUN
cana-3463	214	23	network	network	NOUN
cana-3463	214	24	's	's	PART
cana-3463	214	25	structure	structure	NOUN
cana-3463	214	26	.	.	PUNCT
cana-3463	215	1	the	the	DET
cana-3463	215	2	algorithm	algorithm	NOUN
cana-3463	215	3	's	's	PART
cana-3463	215	4	efficacy	efficacy	NOUN
cana-3463	215	5	in	in	ADP
cana-3463	215	6	categorizing	categorize	VERB
cana-3463	215	7	breast	breast	NOUN
cana-3463	215	8	cancer	cancer	NOUN
cana-3463	215	9	genes	gene	NOUN
cana-3463	215	10	in	in	ADP
cana-3463	215	11	light	light	NOUN
cana-3463	215	12	of	of	ADP
cana-3463	215	13	their	their	PRON
cana-3463	215	14	connections	connection	NOUN
cana-3463	215	15	within	within	ADP
cana-3463	215	16	the	the	DET
cana-3463	215	17	gene	gene	NOUN
cana-3463	215	18	network	network	NOUN
cana-3463	215	19	is	be	AUX
cana-3463	215	20	evaluated	evaluate	VERB
cana-3463	215	21	using	use	VERB
cana-3463	215	22	these	these	DET
cana-3463	215	23	criteria	criterion	NOUN
cana-3463	215	24	.	.	PUNCT
cana-3463	216	1	in	in	ADP
cana-3463	216	2	essence	essence	NOUN
cana-3463	216	3	,	,	PUNCT
cana-3463	216	4	gnns	gnn	NOUN
cana-3463	216	5	enable	enable	VERB
cana-3463	216	6	researchers	researcher	NOUN
cana-3463	216	7	to	to	PART
cana-3463	216	8	harness	harness	VERB
cana-3463	216	9	the	the	DET
cana-3463	216	10	power	power	NOUN
cana-3463	216	11	of	of	ADP
cana-3463	216	12	graph	graph	NOUN
cana-3463	216	13	-	-	PUNCT
cana-3463	216	14	based	base	VERB
cana-3463	216	15	representations	representation	NOUN
cana-3463	216	16	,	,	PUNCT
cana-3463	216	17	unveiling	unveil	VERB
cana-3463	216	18	critical	critical	ADJ
cana-3463	216	19	insights	insight	NOUN
cana-3463	216	20	into	into	ADP
cana-3463	216	21	the	the	DET
cana-3463	216	22	complex	complex	ADJ
cana-3463	216	23	relationships	relationship	NOUN
cana-3463	216	24	and	and	CCONJ
cana-3463	216	25	regulatory	regulatory	ADJ
cana-3463	216	26	mechanisms	mechanism	NOUN
cana-3463	216	27	that	that	PRON
cana-3463	216	28	underlie	underlie	VERB
cana-3463	216	29	breast	breast	NOUN
cana-3463	216	30	cancer	cancer	NOUN
cana-3463	216	31	,	,	PUNCT
cana-3463	216	32	thereby	thereby	ADV
cana-3463	216	33	contributing	contribute	VERB
cana-3463	216	34	to	to	ADP
cana-3463	216	35	advancements	advancement	NOUN
cana-3463	216	36	in	in	ADP
cana-3463	216	37	cancer	cancer	NOUN
cana-3463	216	38	diagnosis	diagnosis	NOUN
cana-3463	216	39	and	and	CCONJ
cana-3463	216	40	therapeutic	therapeutic	ADJ
cana-3463	216	41	strategies	strategy	NOUN
cana-3463	216	42	.	.	PUNCT
cana-3463	217	1	4.result	4.result	NUM
cana-3463	217	2	&	&	CCONJ
cana-3463	217	3	discussion	discussion	NOUN
cana-3463	217	4	the	the	DET
cana-3463	217	5	training	training	NOUN
cana-3463	217	6	and	and	CCONJ
cana-3463	217	7	testing	testing	NOUN
cana-3463	217	8	steps	step	NOUN
cana-3463	217	9	of	of	ADP
cana-3463	217	10	all	all	DET
cana-3463	217	11	three	three	NUM
cana-3463	217	12	proposed	propose	VERB
cana-3463	217	13	deep	deep	ADJ
cana-3463	217	14	learning	learning	NOUN
cana-3463	217	15	models	model	NOUN
cana-3463	217	16	were	be	AUX
cana-3463	217	17	executed	execute	VERB
cana-3463	217	18	using	use	VERB
cana-3463	217	19	the	the	DET
cana-3463	217	20	jupyter	jupyter	ADJ
cana-3463	217	21	notebook	notebook	NOUN
cana-3463	217	22	ide	ide	NOUN
cana-3463	217	23	and	and	CCONJ
cana-3463	217	24	the	the	DET
cana-3463	217	25	python	python	NOUN
cana-3463	217	26	language	language	NOUN
cana-3463	217	27	,	,	PUNCT
cana-3463	217	28	operating	operate	VERB
cana-3463	217	29	on	on	ADP
cana-3463	217	30	an	an	DET
cana-3463	217	31	i5	i5	NOUN
cana-3463	217	32	operating	operating	NOUN
cana-3463	217	33	system	system	NOUN
cana-3463	217	34	,	,	PUNCT
cana-3463	217	35	with	with	ADP
cana-3463	217	36	hardware	hardware	NOUN
cana-3463	217	37	acceleration	acceleration	NOUN
cana-3463	217	38	provided	provide	VERB
cana-3463	217	39	by	by	ADP
cana-3463	217	40	an	an	DET
cana-3463	217	41	nvidia	nvidia	PROPN
cana-3463	217	42	geforce	geforce	NOUN
cana-3463	217	43	gtx	gtx	PROPN
cana-3463	217	44	1080	1080	NUM
cana-3463	217	45	ti	ti	NOUN
cana-3463	217	46	graphics	graphic	NOUN
cana-3463	217	47	card	card	NOUN
cana-3463	217	48	.	.	PUNCT
cana-3463	218	1	this	this	DET
cana-3463	218	2	combination	combination	NOUN
cana-3463	218	3	of	of	ADP
cana-3463	218	4	software	software	NOUN
cana-3463	218	5	and	and	CCONJ
cana-3463	218	6	hardware	hardware	NOUN
cana-3463	218	7	resources	resource	NOUN
cana-3463	218	8	allowed	allow	VERB
cana-3463	218	9	for	for	ADP
cana-3463	218	10	efficient	efficient	ADJ
cana-3463	218	11	training	training	NOUN
cana-3463	218	12	and	and	CCONJ
cana-3463	218	13	evaluation	evaluation	NOUN
cana-3463	218	14	of	of	ADP
cana-3463	218	15	the	the	DET
cana-3463	218	16	deep	deep	ADJ
cana-3463	218	17	learning	learning	NOUN
cana-3463	218	18	models	model	NOUN
cana-3463	218	19	,	,	PUNCT
cana-3463	218	20	taking	take	VERB
cana-3463	218	21	advantage	advantage	NOUN
cana-3463	218	22	of	of	ADP
cana-3463	218	23	the	the	DET
cana-3463	218	24	gpu	gpu	PROPN
cana-3463	218	25	's	's	PART
cana-3463	218	26	parallel	parallel	ADJ
cana-3463	218	27	processing	processing	NOUN
cana-3463	218	28	capabilities	capability	NOUN
cana-3463	218	29	to	to	PART
cana-3463	218	30	expedite	expedite	VERB
cana-3463	218	31	complex	complex	ADJ
cana-3463	218	32	computations	computation	NOUN
cana-3463	218	33	involved	involve	VERB
cana-3463	218	34	in	in	ADP
cana-3463	218	35	neural	neural	ADJ
cana-3463	218	36	network	network	NOUN
cana-3463	218	37	training	training	NOUN
cana-3463	218	38	.	.	PUNCT
cana-3463	219	1	the	the	DET
cana-3463	219	2	jupyter	jupyter	PROPN
cana-3463	219	3	notebook	notebook	NOUN
cana-3463	219	4	environment	environment	NOUN
cana-3463	219	5	provided	provide	VERB
cana-3463	219	6	an	an	DET
cana-3463	219	7	interactive	interactive	ADJ
cana-3463	219	8	and	and	CCONJ
cana-3463	219	9	user	user	NOUN
cana-3463	219	10	-	-	PUNCT
cana-3463	219	11	friendly	friendly	ADJ
cana-3463	219	12	interface	interface	NOUN
cana-3463	219	13	for	for	ADP
cana-3463	219	14	code	code	NOUN
cana-3463	219	15	development	development	NOUN
cana-3463	219	16	,	,	PUNCT
cana-3463	219	17	experimentation	experimentation	NOUN
cana-3463	219	18	,	,	PUNCT
cana-3463	219	19	and	and	CCONJ
cana-3463	219	20	result	result	VERB
cana-3463	219	21	visualization	visualization	NOUN
cana-3463	219	22	,	,	PUNCT
cana-3463	219	23	making	make	VERB
cana-3463	219	24	it	it	PRON
cana-3463	219	25	a	a	DET
cana-3463	219	26	popular	popular	ADJ
cana-3463	219	27	choice	choice	NOUN
cana-3463	219	28	for	for	ADP
cana-3463	219	29	machine	machine	NOUN
cana-3463	219	30	learning	learning	NOUN
cana-3463	219	31	and	and	CCONJ
cana-3463	219	32	deep	deep	ADJ
cana-3463	219	33	learning	learning	NOUN
cana-3463	219	34	tasks	task	NOUN
cana-3463	219	35	.	.	PUNCT
cana-3463	220	1	in	in	ADP
cana-3463	220	2	the	the	DET
cana-3463	220	3	quest	quest	NOUN
cana-3463	220	4	to	to	PART
cana-3463	220	5	detect	detect	VERB
cana-3463	220	6	breast	breast	NOUN
cana-3463	220	7	cancer	cancer	NOUN
cana-3463	220	8	genes	gene	NOUN
cana-3463	220	9	,	,	PUNCT
cana-3463	220	10	researchers	researcher	NOUN
cana-3463	220	11	harnessed	harness	VERB
cana-3463	220	12	the	the	DET
cana-3463	220	13	power	power	NOUN
cana-3463	220	14	of	of	ADP
cana-3463	220	15	deep	deep	ADJ
cana-3463	220	16	learning	learning	NOUN
cana-3463	220	17	methodologies	methodology	NOUN
cana-3463	220	18	.	.	PUNCT
cana-3463	221	1	they	they	PRON
cana-3463	221	2	initiated	initiate	VERB
cana-3463	221	3	the	the	DET
cana-3463	221	4	process	process	NOUN
cana-3463	221	5	by	by	ADP
cana-3463	221	6	digitizing	digitize	VERB
cana-3463	221	7	genome	genome	NOUN
cana-3463	221	8	sequences	sequence	NOUN
cana-3463	221	9	,	,	PUNCT
cana-3463	221	10	making	make	VERB
cana-3463	221	11	genetic	genetic	ADJ
cana-3463	221	12	data	datum	NOUN
cana-3463	221	13	machine	machine	NOUN
cana-3463	221	14	-	-	PUNCT
cana-3463	221	15	readable	readable	ADJ
cana-3463	221	16	.	.	PUNCT
cana-3463	222	1	this	this	DET
cana-3463	222	2	digitized	digitize	VERB
cana-3463	222	3	data	datum	NOUN
cana-3463	222	4	was	be	AUX
cana-3463	222	5	then	then	ADV
cana-3463	222	6	transformed	transform	VERB
cana-3463	222	7	into	into	ADP
cana-3463	222	8	numeric	numeric	ADJ
cana-3463	222	9	form	form	NOUN
cana-3463	222	10	through	through	ADP
cana-3463	222	11	frequencyof	frequencyof	NOUN
cana-3463	222	12	-	-	PUNCT
cana-3463	222	13	occurrence	occurrence	NOUN
cana-3463	222	14	mapping	mapping	NOUN
cana-3463	222	15	,	,	PUNCT
cana-3463	222	16	enabling	enable	VERB
cana-3463	222	17	computational	computational	ADJ
cana-3463	222	18	analysis	analysis	NOUN
cana-3463	222	19	.	.	PUNCT
cana-3463	223	1	to	to	PART
cana-3463	223	2	further	far	ADV
cana-3463	223	3	enhance	enhance	VERB
cana-3463	223	4	the	the	DET
cana-3463	223	5	representation	representation	NOUN
cana-3463	223	6	of	of	ADP
cana-3463	223	7	dna	dna	PROPN
cana-3463	223	8	sequences	sequence	NOUN
cana-3463	223	9	,	,	PUNCT
cana-3463	223	10	they	they	PRON
cana-3463	223	11	adopted	adopt	VERB
cana-3463	223	12	the	the	DET
cana-3463	223	13	voss	voss	PROPN
cana-3463	223	14	method	method	NOUN
cana-3463	223	15	,	,	PUNCT
cana-3463	223	16	utilizing	utilize	VERB
cana-3463	223	17	four	four	NUM
cana-3463	223	18	binary	binary	ADJ
cana-3463	223	19	sequences	sequence	NOUN
cana-3463	223	20	for	for	ADP
cana-3463	223	21	compact	compact	ADJ
cana-3463	223	22	and	and	CCONJ
cana-3463	223	23	structured	structured	ADJ
cana-3463	223	24	data	datum	NOUN
cana-3463	223	25	representation	representation	NOUN
cana-3463	223	26	.	.	PUNCT
cana-3463	224	1	communications	communication	NOUN
cana-3463	224	2	on	on	ADP
cana-3463	224	3	applied	apply	VERB
cana-3463	224	4	nonlinear	nonlinear	ADJ
cana-3463	224	5	analysis	analysis	NOUN
cana-3463	224	6	issn	issn	NOUN
cana-3463	224	7	:	:	PUNCT
cana-3463	224	8	1074	1074	NUM
cana-3463	224	9	-	-	PUNCT
cana-3463	224	10	133x	133x	NUM
cana-3463	224	11	vol	vol	NOUN
cana-3463	224	12	32	32	NUM
cana-3463	224	13	no	no	NOUN
cana-3463	224	14	.	.	PUNCT
cana-3463	225	1	7s	7	NOUN
cana-3463	225	2	(	(	PUNCT
cana-3463	225	3	2025	2025	NUM
cana-3463	225	4	)	)	PUNCT
cana-3463	225	5	552	552	NUM
cana-3463	225	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	226	1	here	here	ADV
cana-3463	226	2	's	be	AUX
cana-3463	226	3	a	a	DET
cana-3463	226	4	simplified	simplified	ADJ
cana-3463	226	5	how	how	SCONJ
cana-3463	226	6	a	a	DET
cana-3463	226	7	short	short	ADJ
cana-3463	226	8	dna	dna	NOUN
cana-3463	226	9	sequence	sequence	NOUN
cana-3463	226	10	can	can	AUX
cana-3463	226	11	be	be	AUX
cana-3463	226	12	converted	convert	VERB
cana-3463	226	13	into	into	ADP
cana-3463	226	14	numeric	numeric	ADJ
cana-3463	226	15	data	datum	NOUN
cana-3463	226	16	using	use	VERB
cana-3463	226	17	frequency	frequency	NOUN
cana-3463	226	18	-	-	PUNCT
cana-3463	226	19	of	of	ADP
cana-3463	226	20	-	-	PUNCT
cana-3463	226	21	occurrence	occurrence	NOUN
cana-3463	226	22	mapping	mapping	NOUN
cana-3463	226	23	shown	show	VERB
cana-3463	226	24	in	in	ADP
cana-3463	226	25	figure	figure	NOUN
cana-3463	226	26	4	4	NUM
cana-3463	226	27	:	:	PUNCT
cana-3463	226	28	a	a	DET
cana-3463	226	29	t	t	NOUN
cana-3463	226	30	t	t	NOUN
cana-3463	226	31	c	c	NOUN
cana-3463	226	32	g	g	PROPN
cana-3463	226	33	g	g	PROPN
cana-3463	226	34	t	t	PROPN
cana-3463	226	35	a	a	DET
cana-3463	226	36	c	c	NOUN
cana-3463	226	37	c	c	NOUN
cana-3463	226	38	g	g	PROPN
cana-3463	226	39	a	a	PRON
cana-3463	226	40	a	a	DET
cana-3463	226	41	t	t	NOUN
cana-3463	226	42	c	c	NOUN
cana-3463	226	43	g	g	NOUN
cana-3463	226	44	3	3	NUM
cana-3463	226	45	2	2	NUM
cana-3463	226	46	3	3	NUM
cana-3463	226	47	4	4	NUM
cana-3463	226	48	a	a	DET
cana-3463	226	49	t	t	NOUN
cana-3463	226	50	c	c	NOUN
cana-3463	226	51	g	g	NOUN
cana-3463	226	52	1	1	NUM
cana-3463	226	53	2	2	NUM
cana-3463	226	54	3	3	NUM
cana-3463	226	55	4	4	NUM
cana-3463	226	56	1	1	NUM
cana-3463	226	57	2	2	NUM
cana-3463	226	58	3	3	NUM
cana-3463	226	59	3	3	NUM
cana-3463	226	60	4	4	NUM
cana-3463	226	61	4	4	NUM
cana-3463	226	62	3	3	NUM
cana-3463	226	63	1	1	NUM
cana-3463	226	64	2	2	NUM
cana-3463	226	65	3	3	NUM
cana-3463	226	66	4	4	NUM
cana-3463	226	67	frequency	frequency	NOUN
cana-3463	226	68	count	count	NOUN
cana-3463	226	69	numeric	numeric	ADJ
cana-3463	226	70	mapping	mapping	NOUN
cana-3463	226	71	mapped	map	VERB
cana-3463	226	72	numeric	numeric	ADJ
cana-3463	226	73	sequence	sequence	NOUN
cana-3463	226	74	original	original	ADJ
cana-3463	226	75	dna	dna	NOUN
cana-3463	226	76	sequence	sequence	NOUN
cana-3463	226	77	figure	figure	NOUN
cana-3463	226	78	4.converted	4.converte	VERB
cana-3463	226	79	into	into	ADP
cana-3463	226	80	numeric	numeric	ADJ
cana-3463	226	81	data	datum	NOUN
cana-3463	226	82	using	use	VERB
cana-3463	226	83	frequency	frequency	NOUN
cana-3463	226	84	-	-	PUNCT
cana-3463	226	85	of	of	ADP
cana-3463	226	86	-	-	PUNCT
cana-3463	226	87	occurrence	occurrence	NOUN
cana-3463	226	88	mapping	mapping	NOUN
cana-3463	226	89	each	each	DET
cana-3463	226	90	nucleotide	nucleotide	ADJ
cana-3463	226	91	base	base	NOUN
cana-3463	226	92	is	be	AUX
cana-3463	226	93	assigned	assign	VERB
cana-3463	226	94	a	a	DET
cana-3463	226	95	numeric	numeric	ADJ
cana-3463	226	96	value	value	NOUN
cana-3463	226	97	based	base	VERB
cana-3463	226	98	on	on	ADP
cana-3463	226	99	its	its	PRON
cana-3463	226	100	frequency	frequency	NOUN
cana-3463	226	101	of	of	ADP
cana-3463	226	102	occurrence	occurrence	NOUN
cana-3463	226	103	in	in	ADP
cana-3463	226	104	the	the	DET
cana-3463	226	105	original	original	ADJ
cana-3463	226	106	dna	dna	NOUN
cana-3463	226	107	sequence	sequence	NOUN
cana-3463	226	108	,	,	PUNCT
cana-3463	226	109	resulting	result	VERB
cana-3463	226	110	in	in	ADP
cana-3463	226	111	a	a	DET
cana-3463	226	112	numeric	numeric	ADJ
cana-3463	226	113	representation	representation	NOUN
cana-3463	226	114	of	of	ADP
cana-3463	226	115	the	the	DET
cana-3463	226	116	genomic	genomic	ADJ
cana-3463	226	117	data	datum	NOUN
cana-3463	226	118	.	.	PUNCT
cana-3463	227	1	figure	figure	NOUN
cana-3463	227	2	5	5	NUM
cana-3463	227	3	shows	show	VERB
cana-3463	227	4	the	the	DET
cana-3463	227	5	spectrogram	spectrogram	NOUN
cana-3463	227	6	of	of	ADP
cana-3463	227	7	numerical	numerical	ADJ
cana-3463	227	8	gene	gene	NOUN
cana-3463	227	9	data	datum	NOUN
cana-3463	227	10	.	.	PUNCT
cana-3463	228	1	figure	figure	VERB
cana-3463	228	2	5.spectrogram	5.spectrogram	NUM
cana-3463	228	3	of	of	ADP
cana-3463	228	4	numerical	numerical	ADJ
cana-3463	228	5	gene	gene	PROPN
cana-3463	228	6	data	datum	NOUN
cana-3463	228	7	to	to	PART
cana-3463	228	8	extract	extract	VERB
cana-3463	228	9	meaningful	meaningful	ADJ
cana-3463	228	10	features	feature	NOUN
cana-3463	228	11	,	,	PUNCT
cana-3463	228	12	numerical	numerical	ADJ
cana-3463	228	13	gene	gene	NOUN
cana-3463	228	14	data	datum	NOUN
cana-3463	228	15	was	be	AUX
cana-3463	228	16	converted	convert	VERB
cana-3463	228	17	into	into	ADP
cana-3463	228	18	spectrograms	spectrogram	NOUN
cana-3463	228	19	using	use	VERB
cana-3463	228	20	stft	stft	PROPN
cana-3463	228	21	.	.	PUNCT
cana-3463	229	1	spectrogram	spectrogram	NOUN
cana-3463	229	2	images	image	NOUN
cana-3463	229	3	were	be	AUX
cana-3463	229	4	collected	collect	VERB
cana-3463	229	5	for	for	ADP
cana-3463	229	6	both	both	CCONJ
cana-3463	229	7	normal	normal	ADJ
cana-3463	229	8	and	and	CCONJ
cana-3463	229	9	breast	breast	NOUN
cana-3463	229	10	cancer	cancer	NOUN
cana-3463	229	11	genes	gene	NOUN
cana-3463	229	12	.	.	PUNCT
cana-3463	230	1	finally	finally	ADV
cana-3463	230	2	,	,	PUNCT
cana-3463	230	3	a	a	DET
cana-3463	230	4	range	range	NOUN
cana-3463	230	5	of	of	ADP
cana-3463	230	6	deep	deep	ADJ
cana-3463	230	7	learning	learning	NOUN
cana-3463	230	8	techniques	technique	NOUN
cana-3463	230	9	,	,	PUNCT
cana-3463	230	10	including	include	VERB
cana-3463	230	11	1dcnn	1dcnn	NUM
cana-3463	230	12	,	,	PUNCT
cana-3463	230	13	cnn	cnn	PROPN
cana-3463	230	14	,	,	PUNCT
cana-3463	230	15	rnn	rnn	PROPN
cana-3463	230	16	,	,	PUNCT
cana-3463	230	17	and	and	CCONJ
cana-3463	230	18	gnn	gnn	PROPN
cana-3463	230	19	,	,	PUNCT
cana-3463	230	20	were	be	AUX
cana-3463	230	21	employed	employ	VERB
cana-3463	230	22	for	for	ADP
cana-3463	230	23	classification	classification	NOUN
cana-3463	230	24	tasks	task	NOUN
cana-3463	230	25	.	.	PUNCT
cana-3463	231	1	the	the	DET
cana-3463	231	2	performance	performance	NOUN
cana-3463	231	3	of	of	ADP
cana-3463	231	4	these	these	DET
cana-3463	231	5	models	model	NOUN
cana-3463	231	6	was	be	AUX
cana-3463	231	7	meticulously	meticulously	ADV
cana-3463	231	8	compared	compare	VERB
cana-3463	231	9	using	use	VERB
cana-3463	231	10	metrics	metric	NOUN
cana-3463	231	11	like	like	ADP
cana-3463	231	12	accuracy	accuracy	NOUN
cana-3463	231	13	,	,	PUNCT
cana-3463	231	14	recall	recall	NOUN
cana-3463	231	15	,	,	PUNCT
cana-3463	231	16	precision	precision	NOUN
cana-3463	231	17	,	,	PUNCT
cana-3463	231	18	and	and	CCONJ
cana-3463	231	19	f1	f1	PROPN
cana-3463	231	20	score	score	NOUN
cana-3463	231	21	,	,	PUNCT
cana-3463	231	22	offering	offer	VERB
cana-3463	231	23	valuable	valuable	ADJ
cana-3463	231	24	insights	insight	NOUN
cana-3463	231	25	into	into	ADP
cana-3463	231	26	their	their	PRON
cana-3463	231	27	effectiveness	effectiveness	NOUN
cana-3463	231	28	in	in	ADP
cana-3463	231	29	breast	breast	NOUN
cana-3463	231	30	cancer	cancer	NOUN
cana-3463	231	31	gene	gene	NOUN
cana-3463	231	32	detection	detection	NOUN
cana-3463	231	33	.	.	PUNCT
cana-3463	232	1	this	this	DET
cana-3463	232	2	integrated	integrate	VERB
cana-3463	232	3	approach	approach	NOUN
cana-3463	232	4	exemplifies	exemplify	VERB
cana-3463	232	5	the	the	DET
cana-3463	232	6	transformative	transformative	ADJ
cana-3463	232	7	potential	potential	NOUN
cana-3463	232	8	of	of	ADP
cana-3463	232	9	deep	deep	ADJ
cana-3463	232	10	learning	learning	NOUN
cana-3463	232	11	in	in	ADP
cana-3463	232	12	genomics	genomic	NOUN
cana-3463	232	13	and	and	CCONJ
cana-3463	232	14	disease	disease	NOUN
cana-3463	232	15	diagnosis.training	diagnosis.traine	VERB
cana-3463	232	16	and	and	CCONJ
cana-3463	232	17	testing	testing	NOUN
cana-3463	232	18	machine	machine	NOUN
cana-3463	232	19	learning	learning	NOUN
cana-3463	232	20	models	model	NOUN
cana-3463	232	21	over	over	ADP
cana-3463	232	22	multiple	multiple	ADJ
cana-3463	232	23	epochs	epoch	NOUN
cana-3463	232	24	is	be	AUX
cana-3463	232	25	indeed	indeed	ADV
cana-3463	232	26	a	a	DET
cana-3463	232	27	common	common	ADJ
cana-3463	232	28	practice	practice	NOUN
cana-3463	232	29	in	in	ADP
cana-3463	232	30	deep	deep	ADJ
cana-3463	232	31	learning	learning	NOUN
cana-3463	232	32	.	.	PUNCT
cana-3463	233	1	we	we	PRON
cana-3463	233	2	conducted	conduct	VERB
cana-3463	233	3	both	both	DET
cana-3463	233	4	training	training	NOUN
cana-3463	233	5	and	and	CCONJ
cana-3463	233	6	testing	testing	NOUN
cana-3463	233	7	for	for	ADP
cana-3463	233	8	100	100	NUM
cana-3463	233	9	epochs	epoch	NOUN
cana-3463	233	10	implies	imply	VERB
cana-3463	233	11	a	a	DET
cana-3463	233	12	structured	structured	ADJ
cana-3463	233	13	and	and	CCONJ
cana-3463	233	14	iterative	iterative	NOUN
cana-3463	233	15	approach	approach	NOUN
cana-3463	233	16	to	to	ADP
cana-3463	233	17	model	model	NOUN
cana-3463	233	18	development	development	NOUN
cana-3463	233	19	and	and	CCONJ
cana-3463	233	20	evaluation	evaluation	NOUN
cana-3463	233	21	.	.	PUNCT
cana-3463	234	1	performance	performance	NOUN
cana-3463	234	2	metrics	metric	NOUN
cana-3463	234	3	categorization	categorization	NOUN
cana-3463	234	4	metrics	metric	NOUN
cana-3463	234	5	are	be	AUX
cana-3463	234	6	a	a	DET
cana-3463	234	7	collection	collection	NOUN
cana-3463	234	8	of	of	ADP
cana-3463	234	9	numerical	numerical	ADJ
cana-3463	234	10	measurements	measurement	NOUN
cana-3463	234	11	that	that	PRON
cana-3463	234	12	are	be	AUX
cana-3463	234	13	utilized	utilize	VERB
cana-3463	234	14	to	to	PART
cana-3463	234	15	evaluate	evaluate	VERB
cana-3463	234	16	how	how	SCONJ
cana-3463	234	17	well	well	ADV
cana-3463	234	18	a	a	DET
cana-3463	234	19	model	model	NOUN
cana-3463	234	20	based	base	VERB
cana-3463	234	21	on	on	ADP
cana-3463	234	22	machine	machine	NOUN
cana-3463	234	23	learning	learning	NOUN
cana-3463	234	24	performs	perform	NOUN
cana-3463	234	25	in	in	ADP
cana-3463	234	26	a	a	DET
cana-3463	234	27	categorization	categorization	NOUN
cana-3463	234	28	job	job	NOUN
cana-3463	234	29	,	,	PUNCT
cana-3463	234	30	where	where	SCONJ
cana-3463	234	31	the	the	DET
cana-3463	234	32	objective	objective	NOUN
cana-3463	234	33	is	be	AUX
cana-3463	234	34	to	to	PART
cana-3463	234	35	make	make	VERB
cana-3463	234	36	predictions	prediction	NOUN
cana-3463	234	37	about	about	ADP
cana-3463	234	38	every	every	DET
cana-3463	234	39	input	input	NOUN
cana-3463	234	40	instance	instance	NOUN
cana-3463	234	41	's	's	PART
cana-3463	234	42	discrete	discrete	ADJ
cana-3463	234	43	class	class	NOUN
cana-3463	234	44	label	label	NOUN
cana-3463	234	45	.	.	PUNCT
cana-3463	235	1	these	these	DET
cana-3463	235	2	metrics	metric	NOUN
cana-3463	235	3	may	may	AUX
cana-3463	235	4	be	be	AUX
cana-3463	235	5	used	use	VERB
cana-3463	235	6	to	to	PART
cana-3463	235	7	evaluate	evaluate	VERB
cana-3463	235	8	the	the	DET
cana-3463	235	9	performance	performance	NOUN
cana-3463	235	10	of	of	ADP
cana-3463	235	11	a	a	DET
cana-3463	235	12	model	model	NOUN
cana-3463	235	13	and	and	CCONJ
cana-3463	235	14	discover	discover	VERB
cana-3463	235	15	its	its	PRON
cana-3463	235	16	limitations	limitation	NOUN
cana-3463	235	17	in	in	ADP
cana-3463	235	18	terms	term	NOUN
cana-3463	235	19	of	of	ADP
cana-3463	235	20	instance	instance	NOUN
cana-3463	235	21	classification	classification	NOUN
cana-3463	235	22	.	.	PUNCT
cana-3463	236	1	the	the	DET
cana-3463	236	2	following	follow	VERB
cana-3463	236	3	is	be	AUX
cana-3463	236	4	an	an	DET
cana-3463	236	5	in	in	ADP
cana-3463	236	6	-	-	PUNCT
cana-3463	236	7	depth	depth	NOUN
cana-3463	236	8	explanation	explanation	NOUN
cana-3463	236	9	of	of	ADP
cana-3463	236	10	many	many	ADJ
cana-3463	236	11	widely	widely	ADV
cana-3463	236	12	-	-	PUNCT
cana-3463	236	13	used	use	VERB
cana-3463	236	14	categorization	categorization	NOUN
cana-3463	236	15	metrics	metric	NOUN
cana-3463	236	16	:	:	PUNCT
cana-3463	236	17	communications	communication	NOUN
cana-3463	236	18	on	on	ADP
cana-3463	236	19	applied	apply	VERB
cana-3463	236	20	nonlinear	nonlinear	ADJ
cana-3463	236	21	analysis	analysis	NOUN
cana-3463	236	22	issn	issn	NOUN
cana-3463	236	23	:	:	PUNCT
cana-3463	236	24	1074	1074	NUM
cana-3463	236	25	-	-	PUNCT
cana-3463	236	26	133x	133x	NUM
cana-3463	236	27	vol	vol	NOUN
cana-3463	236	28	32	32	NUM
cana-3463	236	29	no	no	NOUN
cana-3463	236	30	.	.	PUNCT
cana-3463	237	1	7s	7	NOUN
cana-3463	237	2	(	(	PUNCT
cana-3463	237	3	2025	2025	NUM
cana-3463	237	4	)	)	PUNCT
cana-3463	238	1	553	553	NUM
cana-3463	238	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	238	3	1	1	NUM
cana-3463	238	4	.	.	PUNCT
cana-3463	238	5	accuracy	accuracy	NOUN
cana-3463	238	6	one	one	NUM
cana-3463	238	7	of	of	ADP
cana-3463	238	8	the	the	DET
cana-3463	238	9	simplest	simple	ADJ
cana-3463	238	10	metrics	metric	NOUN
cana-3463	238	11	,	,	PUNCT
cana-3463	238	12	accuracy	accuracy	NOUN
cana-3463	238	13	counts	count	VERB
cana-3463	238	14	how	how	SCONJ
cana-3463	238	15	many	many	ADJ
cana-3463	238	16	times	time	NOUN
cana-3463	238	17	a	a	DET
cana-3463	238	18	prediction	prediction	NOUN
cana-3463	238	19	was	be	AUX
cana-3463	238	20	right	right	ADV
cana-3463	238	21	out	out	ADP
cana-3463	238	22	of	of	ADP
cana-3463	238	23	a	a	DET
cana-3463	238	24	total	total	ADJ
cana-3463	238	25	number	number	NOUN
cana-3463	238	26	of	of	ADP
cana-3463	238	27	times	time	NOUN
cana-3463	238	28	the	the	DET
cana-3463	238	29	prediction	prediction	NOUN
cana-3463	238	30	was	be	AUX
cana-3463	238	31	made	make	VERB
cana-3463	238	32	.	.	PUNCT
cana-3463	239	1	it	it	PRON
cana-3463	239	2	's	be	AUX
cana-3463	239	3	useful	useful	ADJ
cana-3463	239	4	when	when	SCONJ
cana-3463	239	5	classes	class	NOUN
cana-3463	239	6	are	be	AUX
cana-3463	239	7	balanced	balanced	ADJ
cana-3463	239	8	.	.	PUNCT
cana-3463	240	1	however	however	ADV
cana-3463	240	2	,	,	PUNCT
cana-3463	240	3	it	it	PRON
cana-3463	240	4	can	can	AUX
cana-3463	240	5	be	be	AUX
cana-3463	240	6	misleading	misleading	ADJ
cana-3463	240	7	when	when	SCONJ
cana-3463	240	8	classes	class	NOUN
cana-3463	240	9	are	be	AUX
cana-3463	240	10	imbalanced	imbalance	VERB
cana-3463	240	11	.	.	PUNCT
cana-3463	241	1	𝐴𝑐𝑐	𝐴𝑐𝑐	NOUN
cana-3463	241	2	=	=	SYM
cana-3463	241	3	(	(	PUNCT
cana-3463	241	4	𝑇𝑃𝑜𝑠	𝑇𝑃𝑜𝑠	PROPN
cana-3463	241	5	+	+	CCONJ
cana-3463	241	6	𝑇𝑁𝑒𝑔	𝑇𝑁𝑒𝑔	PROPN
cana-3463	241	7	)	)	PUNCT
cana-3463	241	8	(	(	PUNCT
cana-3463	242	1	𝐹𝑃𝑜𝑠	𝐹𝑃𝑜𝑠	PROPN
cana-3463	242	2	+	+	NUM
cana-3463	242	3	𝑇𝑃𝑜𝑠	𝑇𝑃𝑜𝑠	PROPN
cana-3463	242	4	+	+	CCONJ
cana-3463	242	5	𝑇𝑁𝑒𝑔	𝑇𝑁𝑒𝑔	PROPN
cana-3463	242	6	+	+	CCONJ
cana-3463	242	7	𝐹𝑁	𝐹𝑁	PROPN
cana-3463	242	8	)	)	PUNCT
cana-3463	242	9	2	2	NUM
cana-3463	242	10	.	.	X
cana-3463	242	11	precision	precision	NOUN
cana-3463	242	12	:	:	PUNCT
cana-3463	242	13	in	in	ADP
cana-3463	242	14	other	other	ADJ
cana-3463	242	15	words	word	NOUN
cana-3463	242	16	,	,	PUNCT
cana-3463	242	17	precision	precision	NOUN
cana-3463	242	18	measures	measure	NOUN
cana-3463	242	19	how	how	SCONJ
cana-3463	242	20	often	often	ADV
cana-3463	242	21	a	a	DET
cana-3463	242	22	prediction	prediction	NOUN
cana-3463	242	23	turns	turn	VERB
cana-3463	242	24	out	out	ADP
cana-3463	242	25	to	to	PART
cana-3463	242	26	be	be	AUX
cana-3463	242	27	right	right	ADJ
cana-3463	242	28	(	(	PUNCT
cana-3463	242	29	a	a	DET
cana-3463	242	30	true	true	ADJ
cana-3463	242	31	positive	positive	NOUN
cana-3463	242	32	)	)	PUNCT
cana-3463	242	33	.	.	PUNCT
cana-3463	243	1	it	it	PRON
cana-3463	243	2	's	be	AUX
cana-3463	243	3	a	a	DET
cana-3463	243	4	helpful	helpful	ADJ
cana-3463	243	5	measure	measure	NOUN
cana-3463	243	6	in	in	ADP
cana-3463	243	7	contexts	context	NOUN
cana-3463	243	8	where	where	SCONJ
cana-3463	243	9	reducing	reduce	VERB
cana-3463	243	10	the	the	DET
cana-3463	243	11	number	number	NOUN
cana-3463	243	12	of	of	ADP
cana-3463	243	13	false	false	ADJ
cana-3463	243	14	positives	positive	NOUN
cana-3463	243	15	is	be	AUX
cana-3463	243	16	critical	critical	ADJ
cana-3463	243	17	,	,	PUNCT
cana-3463	243	18	like	like	ADP
cana-3463	243	19	medical	medical	ADJ
cana-3463	243	20	diagnostics	diagnostic	NOUN
cana-3463	243	21	.	.	PUNCT
cana-3463	244	1	𝑃𝑟𝑒	𝑃𝑟𝑒	PROPN
cana-3463	244	2	=	=	SYM
cana-3463	244	3	(	(	PUNCT
cana-3463	244	4	𝑇𝑁𝑒𝑔	𝑇𝑁𝑒𝑔	PROPN
cana-3463	244	5	)	)	PUNCT
cana-3463	244	6	(	(	PUNCT
cana-3463	244	7	𝐹𝑃𝑜𝑠	𝐹𝑃𝑜𝑠	ADV
cana-3463	244	8	+	+	CCONJ
cana-3463	244	9	𝑇𝑁𝑒𝑔	𝑇𝑁𝑒𝑔	PROPN
cana-3463	244	10	)	)	PUNCT
cana-3463	244	11	3	3	NUM
cana-3463	244	12	.	.	X
cana-3463	245	1	recall	recall	NOUN
cana-3463	245	2	(	(	PUNCT
cana-3463	245	3	sensitivity	sensitivity	NOUN
cana-3463	245	4	):	):	PUNCT
cana-3463	245	5	the	the	DET
cana-3463	245	6	percentage	percentage	NOUN
cana-3463	245	7	of	of	ADP
cana-3463	245	8	remembered	remember	VERB
cana-3463	245	9	favorable	favorable	ADJ
cana-3463	245	10	occurrences	occurrence	NOUN
cana-3463	245	11	that	that	PRON
cana-3463	245	12	were	be	AUX
cana-3463	245	13	actually	actually	ADV
cana-3463	245	14	positive	positive	ADJ
cana-3463	245	15	is	be	AUX
cana-3463	245	16	called	call	VERB
cana-3463	245	17	"	"	PUNCT
cana-3463	245	18	recall	recall	NOUN
cana-3463	245	19	.	.	PUNCT
cana-3463	245	20	"	"	PUNCT
cana-3463	246	1	it	it	PRON
cana-3463	246	2	is	be	AUX
cana-3463	246	3	essential	essential	ADJ
cana-3463	246	4	when	when	SCONJ
cana-3463	246	5	identifying	identify	VERB
cana-3463	246	6	all	all	DET
cana-3463	246	7	positive	positive	ADJ
cana-3463	246	8	cases	case	NOUN
cana-3463	246	9	is	be	AUX
cana-3463	246	10	a	a	DET
cana-3463	246	11	priority	priority	NOUN
cana-3463	246	12	,	,	PUNCT
cana-3463	246	13	even	even	ADV
cana-3463	246	14	if	if	SCONJ
cana-3463	246	15	it	it	PRON
cana-3463	246	16	leads	lead	VERB
cana-3463	246	17	to	to	ADP
cana-3463	246	18	more	more	ADV
cana-3463	246	19	false	false	ADJ
cana-3463	246	20	positives	positive	NOUN
cana-3463	246	21	.	.	PUNCT
cana-3463	247	1	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3463	247	2	=	=	SYM
cana-3463	247	3	(	(	PUNCT
cana-3463	247	4	𝑇𝑃𝑜𝑠	𝑇𝑃𝑜𝑠	PROPN
cana-3463	247	5	)	)	PUNCT
cana-3463	247	6	(	(	PUNCT
cana-3463	247	7	𝑇𝑃𝑜𝑠	𝑇𝑃𝑜𝑠	PROPN
cana-3463	247	8	+	+	SYM
cana-3463	247	9	𝐹𝑁𝑒𝑔	𝐹𝑁𝑒𝑔	ADJ
cana-3463	247	10	)	)	PUNCT
cana-3463	247	11	4	4	NUM
cana-3463	247	12	.	.	PUNCT
cana-3463	247	13	f1	f1	NOUN
cana-3463	247	14	-	-	PUNCT
cana-3463	247	15	score	score	NOUN
cana-3463	247	16	:	:	PUNCT
cana-3463	247	17	the	the	DET
cana-3463	247	18	f1	f1	ADJ
cana-3463	247	19	-	-	PUNCT
cana-3463	247	20	score	score	NOUN
cana-3463	247	21	balances	balance	NOUN
cana-3463	247	22	accuracy	accuracy	NOUN
cana-3463	247	23	and	and	CCONJ
cana-3463	247	24	recall	recall	VERB
cana-3463	247	25	into	into	ADP
cana-3463	247	26	a	a	DET
cana-3463	247	27	single	single	ADJ
cana-3463	247	28	number	number	NOUN
cana-3463	247	29	.	.	PUNCT
cana-3463	248	1	it	it	PRON
cana-3463	248	2	is	be	AUX
cana-3463	248	3	a	a	DET
cana-3463	248	4	fair	fair	ADJ
cana-3463	248	5	metric	metric	NOUN
cana-3463	248	6	since	since	SCONJ
cana-3463	248	7	it	it	PRON
cana-3463	248	8	takes	take	VERB
cana-3463	248	9	into	into	ADP
cana-3463	248	10	account	account	NOUN
cana-3463	248	11	both	both	DET
cana-3463	248	12	false	false	ADJ
cana-3463	248	13	positives	positive	NOUN
cana-3463	248	14	as	as	ADV
cana-3463	248	15	well	well	ADV
cana-3463	248	16	as	as	ADP
cana-3463	248	17	false	false	ADJ
cana-3463	248	18	negatives	negative	NOUN
cana-3463	248	19	when	when	SCONJ
cana-3463	248	20	evaluating	evaluate	VERB
cana-3463	248	21	a	a	DET
cana-3463	248	22	model	model	NOUN
cana-3463	248	23	's	's	PART
cana-3463	248	24	accuracy	accuracy	NOUN
cana-3463	248	25	.	.	PUNCT
cana-3463	249	1	when	when	SCONJ
cana-3463	249	2	there	there	PRON
cana-3463	249	3	is	be	VERB
cana-3463	249	4	a	a	DET
cana-3463	249	5	significant	significant	ADJ
cana-3463	249	6	socioeconomic	socioeconomic	ADJ
cana-3463	249	7	gap	gap	NOUN
cana-3463	249	8	,	,	PUNCT
cana-3463	249	9	this	this	DET
cana-3463	249	10	method	method	NOUN
cana-3463	249	11	comes	come	VERB
cana-3463	249	12	in	in	ADP
cana-3463	249	13	handy	handy	ADJ
cana-3463	249	14	.	.	PUNCT
cana-3463	250	1	𝐹1	𝐹1	PROPN
cana-3463	250	2	−	−	PROPN
cana-3463	250	3	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
cana-3463	250	4	=	=	SYM
cana-3463	250	5	2	2	NUM
cana-3463	250	6	×	×	NOUN
cana-3463	250	7	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-3463	250	8	×	×	NOUN
cana-3463	250	9	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3463	250	10	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-3463	250	11	+	+	CCONJ
cana-3463	250	12	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3463	250	13	5	5	NUM
cana-3463	250	14	.	.	PUNCT
cana-3463	251	1	confusion	confusion	NOUN
cana-3463	251	2	matrix	matrix	NOUN
cana-3463	251	3	:	:	PUNCT
cana-3463	251	4	a	a	DET
cana-3463	251	5	confusion	confusion	NOUN
cana-3463	251	6	matrix	matrix	NOUN
cana-3463	251	7	is	be	AUX
cana-3463	251	8	a	a	DET
cana-3463	251	9	table	table	NOUN
cana-3463	251	10	that	that	PRON
cana-3463	251	11	breaks	break	VERB
cana-3463	251	12	down	down	ADP
cana-3463	251	13	the	the	DET
cana-3463	251	14	forecasts	forecast	NOUN
cana-3463	251	15	of	of	ADP
cana-3463	251	16	a	a	DET
cana-3463	251	17	model	model	NOUN
cana-3463	251	18	into	into	ADP
cana-3463	251	19	individual	individual	ADJ
cana-3463	251	20	rows	row	NOUN
cana-3463	251	21	and	and	CCONJ
cana-3463	251	22	columns	column	NOUN
cana-3463	251	23	.	.	PUNCT
cana-3463	252	1	all	all	DET
cana-3463	252	2	four	four	NUM
cana-3463	252	3	possible	possible	ADJ
cana-3463	252	4	outcomes	outcome	NOUN
cana-3463	252	5	(	(	PUNCT
cana-3463	252	6	positive	positive	ADJ
cana-3463	252	7	,	,	PUNCT
cana-3463	252	8	negative	negative	ADJ
cana-3463	252	9	,	,	PUNCT
cana-3463	252	10	false	false	ADJ
cana-3463	252	11	positive	positive	ADJ
cana-3463	252	12	,	,	PUNCT
cana-3463	252	13	and	and	CCONJ
cana-3463	252	14	false	false	ADJ
cana-3463	252	15	negative	negative	NOUN
cana-3463	252	16	)	)	PUNCT
cana-3463	252	17	are	be	AUX
cana-3463	252	18	accounted	account	VERB
cana-3463	252	19	for.it	for.it	NOUN
cana-3463	252	20	's	's	PART
cana-3463	252	21	useful	useful	ADJ
cana-3463	252	22	for	for	ADP
cana-3463	252	23	understanding	understanding	NOUN
cana-3463	252	24	where	where	SCONJ
cana-3463	252	25	a	a	DET
cana-3463	252	26	model	model	NOUN
cana-3463	252	27	is	be	AUX
cana-3463	252	28	making	make	VERB
cana-3463	252	29	errors	error	NOUN
cana-3463	252	30	and	and	CCONJ
cana-3463	252	31	can	can	AUX
cana-3463	252	32	help	help	VERB
cana-3463	252	33	in	in	ADP
cana-3463	252	34	identifying	identify	VERB
cana-3463	252	35	areas	area	NOUN
cana-3463	252	36	for	for	ADP
cana-3463	252	37	improvement	improvement	NOUN
cana-3463	252	38	.	.	PUNCT
cana-3463	253	1	these	these	DET
cana-3463	253	2	classification	classification	NOUN
cana-3463	253	3	metrics	metric	NOUN
cana-3463	253	4	help	help	VERB
cana-3463	253	5	data	datum	NOUN
cana-3463	253	6	scientists	scientist	NOUN
cana-3463	253	7	and	and	CCONJ
cana-3463	253	8	machine	machine	NOUN
cana-3463	253	9	learning	learn	VERB
cana-3463	253	10	practitioners	practitioner	NOUN
cana-3463	253	11	assess	assess	VERB
cana-3463	253	12	model	model	NOUN
cana-3463	253	13	performance	performance	NOUN
cana-3463	253	14	,	,	PUNCT
cana-3463	253	15	make	make	VERB
cana-3463	253	16	informed	informed	ADJ
cana-3463	253	17	decisions	decision	NOUN
cana-3463	253	18	about	about	ADP
cana-3463	253	19	model	model	NOUN
cana-3463	253	20	selection	selection	NOUN
cana-3463	253	21	and	and	CCONJ
cana-3463	253	22	hyperparameter	hyperparameter	NOUN
cana-3463	253	23	tuning	tuning	NOUN
cana-3463	253	24	,	,	PUNCT
cana-3463	253	25	and	and	CCONJ
cana-3463	253	26	communicate	communicate	VERB
cana-3463	253	27	the	the	DET
cana-3463	253	28	model	model	NOUN
cana-3463	253	29	's	's	PART
cana-3463	253	30	effectiveness	effectiveness	NOUN
cana-3463	253	31	to	to	ADP
cana-3463	253	32	stakeholders	stakeholder	NOUN
cana-3463	253	33	.	.	PUNCT
cana-3463	254	1	the	the	DET
cana-3463	254	2	relative	relative	ADJ
cana-3463	254	3	weights	weight	NOUN
cana-3463	254	4	of	of	ADP
cana-3463	254	5	accuracy	accuracy	NOUN
cana-3463	254	6	,	,	PUNCT
cana-3463	254	7	recall	recall	NOUN
cana-3463	254	8	,	,	PUNCT
cana-3463	254	9	and	and	CCONJ
cana-3463	254	10	other	other	ADJ
cana-3463	254	11	characteristics	characteristic	NOUN
cana-3463	254	12	in	in	ADP
cana-3463	254	13	the	the	DET
cana-3463	254	14	application	application	NOUN
cana-3463	254	15	domain	domain	NOUN
cana-3463	254	16	should	should	AUX
cana-3463	254	17	be	be	AUX
cana-3463	254	18	taken	take	VERB
cana-3463	254	19	into	into	ADP
cana-3463	254	20	account	account	NOUN
cana-3463	254	21	when	when	SCONJ
cana-3463	254	22	deciding	decide	VERB
cana-3463	254	23	on	on	ADP
cana-3463	254	24	a	a	DET
cana-3463	254	25	measure	measure	NOUN
cana-3463	254	26	to	to	PART
cana-3463	254	27	use	use	VERB
cana-3463	254	28	for	for	ADP
cana-3463	254	29	a	a	DET
cana-3463	254	30	given	give	VERB
cana-3463	254	31	classification	classification	NOUN
cana-3463	254	32	job	job	NOUN
cana-3463	254	33	.	.	PUNCT
cana-3463	255	1	table	table	NOUN
cana-3463	255	2	2	2	NUM
cana-3463	255	3	displays	display	VERB
cana-3463	255	4	the	the	DET
cana-3463	255	5	results	result	NOUN
cana-3463	255	6	of	of	ADP
cana-3463	255	7	a	a	DET
cana-3463	255	8	comparison	comparison	NOUN
cana-3463	255	9	of	of	ADP
cana-3463	255	10	different	different	ADJ
cana-3463	255	11	models	model	NOUN
cana-3463	255	12	'	'	PART
cana-3463	255	13	effectiveness	effectiveness	NOUN
cana-3463	255	14	.	.	PUNCT
cana-3463	256	1	figures	figure	NOUN
cana-3463	256	2	6	6	NUM
cana-3463	256	3	,	,	PUNCT
cana-3463	256	4	7	7	NUM
cana-3463	256	5	,	,	PUNCT
cana-3463	256	6	8	8	NUM
cana-3463	256	7	,	,	PUNCT
cana-3463	256	8	and	and	CCONJ
cana-3463	256	9	9	9	NUM
cana-3463	256	10	compare	compare	VERB
cana-3463	256	11	different	different	ADJ
cana-3463	256	12	models	model	NOUN
cana-3463	256	13	in	in	ADP
cana-3463	256	14	terms	term	NOUN
cana-3463	256	15	of	of	ADP
cana-3463	256	16	accuracy	accuracy	NOUN
cana-3463	256	17	,	,	PUNCT
cana-3463	256	18	recall	recall	NOUN
cana-3463	256	19	,	,	PUNCT
cana-3463	256	20	precision	precision	NOUN
cana-3463	256	21	,	,	PUNCT
cana-3463	256	22	and	and	CCONJ
cana-3463	256	23	f1	f1	NOUN
cana-3463	256	24	-	-	PUNCT
cana-3463	256	25	score	score	NOUN
cana-3463	256	26	,	,	PUNCT
cana-3463	256	27	respectively	respectively	ADV
cana-3463	256	28	.	.	PUNCT
cana-3463	256	29	table	table	NOUN
cana-3463	256	30	2	2	NUM
cana-3463	256	31	.	.	PUNCT
cana-3463	256	32	performance	performance	NOUN
cana-3463	256	33	evaluation	evaluation	NOUN
cana-3463	256	34	of	of	ADP
cana-3463	256	35	various	various	ADJ
cana-3463	256	36	models	model	NOUN
cana-3463	256	37	models	model	VERB
cana-3463	256	38	performance	performance	NOUN
cana-3463	256	39	evaluation	evaluation	NOUN
cana-3463	256	40	accuracy	accuracy	NOUN
cana-3463	256	41	recall	recall	NOUN
cana-3463	256	42	precision	precision	PROPN
cana-3463	256	43	f1	f1	PROPN
cana-3463	256	44	1d	1d	PROPN
cana-3463	256	45	-	-	PUNCT
cana-3463	256	46	cnn	cnn	PROPN
cana-3463	256	47	89.38	89.38	NUM
cana-3463	256	48	89.24	89.24	NUM
cana-3463	256	49	90.37	90.37	NUM
cana-3463	256	50	90.63	90.63	NUM
cana-3463	256	51	cnn	cnn	PROPN
cana-3463	256	52	91.02	91.02	NUM
cana-3463	256	53	91.08	91.08	NUM
cana-3463	256	54	89.75	89.75	NUM
cana-3463	256	55	88.53	88.53	NUM
cana-3463	256	56	communications	communication	NOUN
cana-3463	256	57	on	on	ADP
cana-3463	256	58	applied	apply	VERB
cana-3463	256	59	nonlinear	nonlinear	ADJ
cana-3463	256	60	analysis	analysis	NOUN
cana-3463	256	61	issn	issn	NOUN
cana-3463	256	62	:	:	PUNCT
cana-3463	256	63	1074	1074	NUM
cana-3463	256	64	-	-	PUNCT
cana-3463	256	65	133x	133x	NUM
cana-3463	256	66	vol	vol	NOUN
cana-3463	256	67	32	32	NUM
cana-3463	256	68	no	no	NOUN
cana-3463	256	69	.	.	PUNCT
cana-3463	257	1	7s	7	NOUN
cana-3463	257	2	(	(	PUNCT
cana-3463	257	3	2025	2025	NUM
cana-3463	257	4	)	)	PUNCT
cana-3463	257	5	554	554	NUM
cana-3463	257	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	257	7	rnn	rnn	VERB
cana-3463	257	8	93.88	93.88	NUM
cana-3463	257	9	93.25	93.25	NUM
cana-3463	257	10	92.3	92.3	NUM
cana-3463	257	11	91.25	91.25	NUM
cana-3463	257	12	gnn	gnn	X
cana-3463	257	13	97.97	97.97	NUM
cana-3463	257	14	96.96	96.96	NUM
cana-3463	257	15	96.2	96.2	NUM
cana-3463	257	16	96.69	96.69	NUM
cana-3463	257	17	the	the	DET
cana-3463	257	18	efficacy	efficacy	NOUN
cana-3463	257	19	and	and	CCONJ
cana-3463	257	20	acceptability	acceptability	NOUN
cana-3463	257	21	of	of	ADP
cana-3463	257	22	machine	machine	NOUN
cana-3463	257	23	learning	learning	NOUN
cana-3463	257	24	models	model	NOUN
cana-3463	257	25	for	for	ADP
cana-3463	257	26	clinical	clinical	ADJ
cana-3463	257	27	and	and	CCONJ
cana-3463	257	28	scientific	scientific	ADJ
cana-3463	257	29	applications	application	NOUN
cana-3463	257	30	relies	rely	VERB
cana-3463	257	31	heavily	heavily	ADV
cana-3463	257	32	on	on	ADP
cana-3463	257	33	their	their	PRON
cana-3463	257	34	outcome	outcome	NOUN
cana-3463	257	35	assessment	assessment	NOUN
cana-3463	257	36	,	,	PUNCT
cana-3463	257	37	especially	especially	ADV
cana-3463	257	38	in	in	ADP
cana-3463	257	39	the	the	DET
cana-3463	257	40	context	context	NOUN
cana-3463	257	41	of	of	ADP
cana-3463	257	42	breast	breast	NOUN
cana-3463	257	43	cancer	cancer	NOUN
cana-3463	257	44	gene	gene	NOUN
cana-3463	257	45	categorization	categorization	NOUN
cana-3463	257	46	.	.	PUNCT
cana-3463	258	1	in	in	ADP
cana-3463	258	2	this	this	DET
cana-3463	258	3	comprehensive	comprehensive	ADJ
cana-3463	258	4	analysis	analysis	NOUN
cana-3463	258	5	,	,	PUNCT
cana-3463	258	6	we	we	PRON
cana-3463	258	7	delve	delve	VERB
cana-3463	258	8	into	into	ADP
cana-3463	258	9	the	the	DET
cana-3463	258	10	intricate	intricate	ADJ
cana-3463	258	11	details	detail	NOUN
cana-3463	258	12	of	of	ADP
cana-3463	258	13	four	four	NUM
cana-3463	258	14	distinct	distinct	ADJ
cana-3463	258	15	models	model	NOUN
cana-3463	258	16	:	:	PUNCT
cana-3463	258	17	1d	1d	NUM
cana-3463	258	18	-	-	PUNCT
cana-3463	258	19	cnn	cnn	PROPN
cana-3463	258	20	,	,	PUNCT
cana-3463	258	21	cnn	cnn	PROPN
cana-3463	258	22	,	,	PUNCT
cana-3463	258	23	rnn	rnn	PROPN
cana-3463	258	24	,	,	PUNCT
cana-3463	258	25	and	and	CCONJ
cana-3463	258	26	gnn	gnn	PROPN
cana-3463	258	27	,	,	PUNCT
cana-3463	258	28	each	each	PRON
cana-3463	258	29	designed	design	VERB
cana-3463	258	30	to	to	PART
cana-3463	258	31	tackle	tackle	VERB
cana-3463	258	32	the	the	DET
cana-3463	258	33	task	task	NOUN
cana-3463	258	34	of	of	ADP
cana-3463	258	35	distinguishing	distinguish	VERB
cana-3463	258	36	between	between	ADP
cana-3463	258	37	normal	normal	ADJ
cana-3463	258	38	and	and	CCONJ
cana-3463	258	39	breast	breast	NOUN
cana-3463	258	40	cancer	cancer	NOUN
cana-3463	258	41	genes	gene	NOUN
cana-3463	258	42	based	base	VERB
cana-3463	258	43	on	on	ADP
cana-3463	258	44	spectrogram	spectrogram	NOUN
cana-3463	258	45	images	image	NOUN
cana-3463	258	46	.	.	PUNCT
cana-3463	259	1	the	the	DET
cana-3463	259	2	evaluation	evaluation	NOUN
cana-3463	259	3	metrics	metric	NOUN
cana-3463	259	4	under	under	ADP
cana-3463	259	5	scrutiny	scrutiny	NOUN
cana-3463	259	6	include	include	VERB
cana-3463	259	7	accuracy	accuracy	NOUN
cana-3463	259	8	,	,	PUNCT
cana-3463	259	9	recall	recall	NOUN
cana-3463	259	10	,	,	PUNCT
cana-3463	259	11	precision	precision	NOUN
cana-3463	259	12	,	,	PUNCT
cana-3463	259	13	and	and	CCONJ
cana-3463	259	14	f1	f1	NOUN
cana-3463	259	15	-	-	PUNCT
cana-3463	259	16	score	score	NOUN
cana-3463	259	17	,	,	PUNCT
cana-3463	259	18	which	which	PRON
cana-3463	259	19	collectively	collectively	ADV
cana-3463	259	20	offer	offer	VERB
cana-3463	259	21	a	a	DET
cana-3463	259	22	comprehensive	comprehensive	ADJ
cana-3463	259	23	view	view	NOUN
cana-3463	259	24	of	of	ADP
cana-3463	259	25	how	how	SCONJ
cana-3463	259	26	these	these	DET
cana-3463	259	27	models	model	NOUN
cana-3463	259	28	perform	perform	VERB
cana-3463	259	29	across	across	ADP
cana-3463	259	30	different	different	ADJ
cana-3463	259	31	aspects	aspect	NOUN
cana-3463	259	32	of	of	ADP
cana-3463	259	33	classification	classification	NOUN
cana-3463	259	34	.	.	PUNCT
cana-3463	260	1	figure	figure	NOUN
cana-3463	260	2	6	6	NUM
cana-3463	260	3	.	.	PUNCT
cana-3463	261	1	accuracy	accuracy	NOUN
cana-3463	261	2	comparison	comparison	NOUN
cana-3463	261	3	of	of	ADP
cana-3463	261	4	various	various	ADJ
cana-3463	261	5	models	model	NOUN
cana-3463	261	6	.	.	PUNCT
cana-3463	262	1	the	the	DET
cana-3463	262	2	1d	1d	NUM
cana-3463	262	3	convolutional	convolutional	ADJ
cana-3463	262	4	neural	neural	ADJ
cana-3463	262	5	network	network	NOUN
cana-3463	262	6	(	(	PUNCT
cana-3463	262	7	1d	1d	PROPN
cana-3463	262	8	-	-	PUNCT
cana-3463	262	9	cnn	cnn	NOUN
cana-3463	262	10	)	)	PUNCT
cana-3463	262	11	showcases	showcase	VERB
cana-3463	262	12	a	a	DET
cana-3463	262	13	commendable	commendable	ADJ
cana-3463	262	14	performance	performance	NOUN
cana-3463	262	15	across	across	ADP
cana-3463	262	16	multiple	multiple	ADJ
cana-3463	262	17	metrics	metric	NOUN
cana-3463	262	18	.	.	PUNCT
cana-3463	263	1	with	with	ADP
cana-3463	263	2	an	an	DET
cana-3463	263	3	accuracy	accuracy	NOUN
cana-3463	263	4	of	of	ADP
cana-3463	263	5	89.38	89.38	NUM
cana-3463	263	6	%	%	NOUN
cana-3463	263	7	,	,	PUNCT
cana-3463	263	8	it	it	PRON
cana-3463	263	9	demonstrates	demonstrate	VERB
cana-3463	263	10	its	its	PRON
cana-3463	263	11	ability	ability	NOUN
cana-3463	263	12	to	to	PART
cana-3463	263	13	make	make	VERB
cana-3463	263	14	correct	correct	ADJ
cana-3463	263	15	predictions	prediction	NOUN
cana-3463	263	16	on	on	ADP
cana-3463	263	17	a	a	DET
cana-3463	263	18	vast	vast	ADJ
cana-3463	263	19	majority	majority	NOUN
cana-3463	263	20	of	of	ADP
cana-3463	263	21	instances	instance	NOUN
cana-3463	263	22	.	.	PUNCT
cana-3463	264	1	similarly	similarly	ADV
cana-3463	264	2	amazing	amazing	ADJ
cana-3463	264	3	is	be	AUX
cana-3463	264	4	the	the	DET
cana-3463	264	5	89.24	89.24	NUM
cana-3463	264	6	%	%	NOUN
cana-3463	264	7	recall	recall	NOUN
cana-3463	264	8	rate	rate	NOUN
cana-3463	264	9	,	,	PUNCT
cana-3463	264	10	which	which	PRON
cana-3463	264	11	measures	measure	VERB
cana-3463	264	12	the	the	DET
cana-3463	264	13	percentage	percentage	NOUN
cana-3463	264	14	of	of	ADP
cana-3463	264	15	true	true	ADJ
cana-3463	264	16	positive	positive	ADJ
cana-3463	264	17	instances	instance	NOUN
cana-3463	264	18	that	that	PRON
cana-3463	264	19	were	be	AUX
cana-3463	264	20	accurately	accurately	ADV
cana-3463	264	21	anticipated	anticipate	VERB
cana-3463	264	22	.	.	PUNCT
cana-3463	265	1	indications	indication	NOUN
cana-3463	265	2	are	be	AUX
cana-3463	265	3	that	that	SCONJ
cana-3463	265	4	the	the	DET
cana-3463	265	5	1dcnn	1dcnn	NUM
cana-3463	265	6	is	be	AUX
cana-3463	265	7	successful	successful	ADJ
cana-3463	265	8	in	in	ADP
cana-3463	265	9	identifying	identify	VERB
cana-3463	265	10	the	the	DET
cana-3463	265	11	vast	vast	ADJ
cana-3463	265	12	majority	majority	NOUN
cana-3463	265	13	of	of	ADP
cana-3463	265	14	breast	breast	NOUN
cana-3463	265	15	cancer	cancer	NOUN
cana-3463	265	16	genes	gene	NOUN
cana-3463	265	17	.	.	PUNCT
cana-3463	266	1	in	in	ADP
cana-3463	266	2	addition	addition	NOUN
cana-3463	266	3	,	,	PUNCT
cana-3463	266	4	the	the	DET
cana-3463	266	5	model	model	NOUN
cana-3463	266	6	's	's	PART
cana-3463	266	7	dependability	dependability	NOUN
cana-3463	266	8	in	in	ADP
cana-3463	266	9	reducing	reduce	VERB
cana-3463	266	10	false	false	ADJ
cana-3463	266	11	positives	positive	NOUN
cana-3463	266	12	is	be	AUX
cana-3463	266	13	reinforced	reinforce	VERB
cana-3463	266	14	by	by	ADP
cana-3463	266	15	the	the	DET
cana-3463	266	16	high	high	ADJ
cana-3463	266	17	accuracy	accuracy	NOUN
cana-3463	266	18	score	score	NOUN
cana-3463	266	19	(	(	PUNCT
cana-3463	266	20	90.37	90.37	NUM
cana-3463	266	21	%	%	NOUN
cana-3463	266	22	)	)	PUNCT
cana-3463	266	23	,	,	PUNCT
cana-3463	266	24	which	which	PRON
cana-3463	266	25	shows	show	VERB
cana-3463	266	26	a	a	DET
cana-3463	266	27	high	high	ADJ
cana-3463	266	28	proportion	proportion	NOUN
cana-3463	266	29	of	of	ADP
cana-3463	266	30	true	true	ADJ
cana-3463	266	31	positive	positive	ADJ
cana-3463	266	32	predictions	prediction	NOUN
cana-3463	266	33	.	.	PUNCT
cana-3463	267	1	the	the	DET
cana-3463	267	2	f1	f1	NOUN
cana-3463	267	3	-	-	PUNCT
cana-3463	267	4	score	score	NOUN
cana-3463	267	5	,	,	PUNCT
cana-3463	267	6	which	which	PRON
cana-3463	267	7	takes	take	VERB
cana-3463	267	8	into	into	ADP
cana-3463	267	9	account	account	NOUN
cana-3463	267	10	both	both	DET
cana-3463	267	11	accuracy	accuracy	NOUN
cana-3463	267	12	and	and	CCONJ
cana-3463	267	13	recall	recall	NOUN
cana-3463	267	14	,	,	PUNCT
cana-3463	267	15	is	be	AUX
cana-3463	267	16	90.63	90.63	NUM
cana-3463	267	17	percent	percent	NOUN
cana-3463	267	18	,	,	PUNCT
cana-3463	267	19	which	which	PRON
cana-3463	267	20	is	be	AUX
cana-3463	267	21	quite	quite	ADV
cana-3463	267	22	good	good	ADJ
cana-3463	267	23	.	.	PUNCT
cana-3463	268	1	collectively	collectively	ADV
cana-3463	268	2	,	,	PUNCT
cana-3463	268	3	these	these	DET
cana-3463	268	4	metrics	metric	NOUN
cana-3463	268	5	paint	paint	VERB
cana-3463	268	6	a	a	DET
cana-3463	268	7	positive	positive	ADJ
cana-3463	268	8	picture	picture	NOUN
cana-3463	268	9	of	of	ADP
cana-3463	268	10	the	the	DET
cana-3463	268	11	1d	1d	NUM
cana-3463	268	12	-	-	PUNCT
cana-3463	268	13	cnn	cnn	PROPN
cana-3463	268	14	's	's	PART
cana-3463	268	15	performance	performance	NOUN
cana-3463	268	16	,	,	PUNCT
cana-3463	268	17	showcasing	showcase	VERB
cana-3463	268	18	its	its	PRON
cana-3463	268	19	potential	potential	NOUN
cana-3463	268	20	in	in	ADP
cana-3463	268	21	breast	breast	NOUN
cana-3463	268	22	cancer	cancer	NOUN
cana-3463	268	23	gene	gene	NOUN
cana-3463	268	24	classification	classification	NOUN
cana-3463	268	25	.	.	PUNCT
cana-3463	269	1	figure	figure	NOUN
cana-3463	269	2	7	7	NUM
cana-3463	269	3	.	.	PUNCT
cana-3463	270	1	recall	recall	NOUN
cana-3463	270	2	comparison	comparison	NOUN
cana-3463	270	3	of	of	ADP
cana-3463	270	4	various	various	ADJ
cana-3463	270	5	models	model	NOUN
cana-3463	270	6	.	.	PUNCT
cana-3463	271	1	communications	communication	NOUN
cana-3463	271	2	on	on	ADP
cana-3463	271	3	applied	apply	VERB
cana-3463	271	4	nonlinear	nonlinear	ADJ
cana-3463	271	5	analysis	analysis	NOUN
cana-3463	271	6	issn	issn	NOUN
cana-3463	271	7	:	:	PUNCT
cana-3463	271	8	1074	1074	NUM
cana-3463	271	9	-	-	PUNCT
cana-3463	271	10	133x	133x	NUM
cana-3463	271	11	vol	vol	NOUN
cana-3463	271	12	32	32	NUM
cana-3463	271	13	no	no	NOUN
cana-3463	271	14	.	.	PUNCT
cana-3463	272	1	7s	7	NOUN
cana-3463	272	2	(	(	PUNCT
cana-3463	272	3	2025	2025	NUM
cana-3463	272	4	)	)	PUNCT
cana-3463	272	5	555	555	NUM
cana-3463	272	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	272	7	the	the	DET
cana-3463	272	8	convolutional	convolutional	ADJ
cana-3463	272	9	neural	neural	ADJ
cana-3463	272	10	network	network	NOUN
cana-3463	272	11	(	(	PUNCT
cana-3463	272	12	cnn	cnn	PROPN
cana-3463	272	13	)	)	PUNCT
cana-3463	272	14	boasts	boast	VERB
cana-3463	272	15	an	an	DET
cana-3463	272	16	accuracy	accuracy	NOUN
cana-3463	272	17	rate	rate	NOUN
cana-3463	272	18	of	of	ADP
cana-3463	272	19	91.02	91.02	NUM
cana-3463	272	20	%	%	NOUN
cana-3463	272	21	,	,	PUNCT
cana-3463	272	22	indicating	indicate	VERB
cana-3463	272	23	its	its	PRON
cana-3463	272	24	capability	capability	NOUN
cana-3463	272	25	to	to	PART
cana-3463	272	26	make	make	VERB
cana-3463	272	27	precise	precise	ADJ
cana-3463	272	28	classifications	classification	NOUN
cana-3463	272	29	.	.	PUNCT
cana-3463	273	1	important	important	ADJ
cana-3463	273	2	in	in	ADP
cana-3463	273	3	the	the	DET
cana-3463	273	4	context	context	NOUN
cana-3463	273	5	of	of	ADP
cana-3463	273	6	cancer	cancer	NOUN
cana-3463	273	7	gene	gene	NOUN
cana-3463	273	8	categorization	categorization	NOUN
cana-3463	273	9	is	be	AUX
cana-3463	273	10	the	the	DET
cana-3463	273	11	fact	fact	NOUN
cana-3463	273	12	that	that	SCONJ
cana-3463	273	13	the	the	DET
cana-3463	273	14	model	model	NOUN
cana-3463	273	15	has	have	AUX
cana-3463	273	16	a	a	DET
cana-3463	273	17	recall	recall	NOUN
cana-3463	273	18	rate	rate	NOUN
cana-3463	273	19	of	of	ADP
cana-3463	273	20	91.08	91.08	NUM
cana-3463	273	21	%	%	NOUN
cana-3463	273	22	,	,	PUNCT
cana-3463	273	23	indicating	indicate	VERB
cana-3463	273	24	its	its	PRON
cana-3463	273	25	skill	skill	NOUN
cana-3463	273	26	in	in	ADP
cana-3463	273	27	properly	properly	ADV
cana-3463	273	28	recognizing	recognize	VERB
cana-3463	273	29	genuine	genuine	ADJ
cana-3463	273	30	positive	positive	ADJ
cana-3463	273	31	occurrences	occurrence	NOUN
cana-3463	273	32	.	.	PUNCT
cana-3463	274	1	however	however	ADV
cana-3463	274	2	,	,	PUNCT
cana-3463	274	3	the	the	DET
cana-3463	274	4	precision	precision	NOUN
cana-3463	274	5	score	score	NOUN
cana-3463	274	6	of	of	ADP
cana-3463	274	7	89.75	89.75	NUM
cana-3463	274	8	%	%	NOUN
cana-3463	274	9	suggests	suggest	VERB
cana-3463	274	10	a	a	DET
cana-3463	274	11	slight	slight	ADJ
cana-3463	274	12	trade	trade	NOUN
cana-3463	274	13	-	-	PUNCT
cana-3463	274	14	off	off	NOUN
cana-3463	274	15	,	,	PUNCT
cana-3463	274	16	indicating	indicate	VERB
cana-3463	274	17	that	that	SCONJ
cana-3463	274	18	a	a	DET
cana-3463	274	19	fraction	fraction	NOUN
cana-3463	274	20	of	of	ADP
cana-3463	274	21	positive	positive	ADJ
cana-3463	274	22	predictions	prediction	NOUN
cana-3463	274	23	may	may	AUX
cana-3463	274	24	be	be	AUX
cana-3463	274	25	false	false	ADJ
cana-3463	274	26	positives	positive	NOUN
cana-3463	274	27	.	.	PUNCT
cana-3463	275	1	this	this	DET
cana-3463	275	2	trade	trade	NOUN
cana-3463	275	3	-	-	PUNCT
cana-3463	275	4	off	off	NOUN
cana-3463	275	5	is	be	AUX
cana-3463	275	6	further	far	ADV
cana-3463	275	7	reflected	reflect	VERB
cana-3463	275	8	in	in	ADP
cana-3463	275	9	the	the	DET
cana-3463	275	10	f1	f1	NOUN
cana-3463	275	11	-	-	PUNCT
cana-3463	275	12	score	score	NOUN
cana-3463	275	13	of	of	ADP
cana-3463	275	14	88.53	88.53	NUM
cana-3463	275	15	%	%	NOUN
cana-3463	275	16	,	,	PUNCT
cana-3463	275	17	which	which	PRON
cana-3463	275	18	,	,	PUNCT
cana-3463	275	19	while	while	SCONJ
cana-3463	275	20	lower	low	ADJ
cana-3463	275	21	than	than	ADP
cana-3463	275	22	recall	recall	NOUN
cana-3463	275	23	,	,	PUNCT
cana-3463	275	24	still	still	ADV
cana-3463	275	25	demonstrates	demonstrate	VERB
cana-3463	275	26	a	a	DET
cana-3463	275	27	balanced	balanced	ADJ
cana-3463	275	28	performance	performance	NOUN
cana-3463	275	29	.	.	PUNCT
cana-3463	276	1	the	the	DET
cana-3463	276	2	outstanding	outstanding	ADJ
cana-3463	276	3	categorization	categorization	NOUN
cana-3463	276	4	skills	skill	NOUN
cana-3463	276	5	of	of	ADP
cana-3463	276	6	the	the	DET
cana-3463	276	7	cnn	cnn	PROPN
cana-3463	276	8	are	be	AUX
cana-3463	276	9	in	in	ADP
cana-3463	276	10	large	large	ADJ
cana-3463	276	11	part	part	NOUN
cana-3463	276	12	due	due	ADP
cana-3463	276	13	to	to	ADP
cana-3463	276	14	its	its	PRON
cana-3463	276	15	capacity	capacity	NOUN
cana-3463	276	16	to	to	PART
cana-3463	276	17	capture	capture	VERB
cana-3463	276	18	spatial	spatial	ADJ
cana-3463	276	19	characteristics	characteristic	NOUN
cana-3463	276	20	within	within	ADP
cana-3463	276	21	spectrogram	spectrogram	NOUN
cana-3463	276	22	pictures	picture	NOUN
cana-3463	276	23	.	.	PUNCT
cana-3463	277	1	the	the	DET
cana-3463	277	2	recurrent	recurrent	ADJ
cana-3463	277	3	neural	neural	ADJ
cana-3463	277	4	network	network	NOUN
cana-3463	277	5	(	(	PUNCT
cana-3463	277	6	rnn	rnn	PROPN
cana-3463	277	7	)	)	PUNCT
cana-3463	277	8	takes	take	VERB
cana-3463	277	9	performance	performance	NOUN
cana-3463	277	10	to	to	ADP
cana-3463	277	11	a	a	DET
cana-3463	277	12	higher	high	ADJ
cana-3463	277	13	level	level	NOUN
cana-3463	277	14	,	,	PUNCT
cana-3463	277	15	achieving	achieve	VERB
cana-3463	277	16	an	an	DET
cana-3463	277	17	accuracy	accuracy	NOUN
cana-3463	277	18	rate	rate	NOUN
cana-3463	277	19	of	of	ADP
cana-3463	277	20	93.88	93.88	NUM
cana-3463	277	21	%	%	NOUN
cana-3463	277	22	.	.	PUNCT
cana-3463	278	1	this	this	PRON
cana-3463	278	2	suggests	suggest	VERB
cana-3463	278	3	a	a	DET
cana-3463	278	4	significant	significant	ADJ
cana-3463	278	5	improvement	improvement	NOUN
cana-3463	278	6	in	in	ADP
cana-3463	278	7	correct	correct	ADJ
cana-3463	278	8	classifications	classification	NOUN
cana-3463	278	9	compared	compare	VERB
cana-3463	278	10	to	to	ADP
cana-3463	278	11	the	the	DET
cana-3463	278	12	previous	previous	ADJ
cana-3463	278	13	models	model	NOUN
cana-3463	278	14	.	.	PUNCT
cana-3463	279	1	the	the	DET
cana-3463	279	2	model	model	NOUN
cana-3463	279	3	's	's	PART
cana-3463	279	4	recall	recall	NOUN
cana-3463	279	5	rate	rate	NOUN
cana-3463	279	6	of	of	ADP
cana-3463	279	7	93.25	93.25	NUM
cana-3463	279	8	percent	percent	NOUN
cana-3463	279	9	further	far	ADV
cana-3463	279	10	demonstrates	demonstrate	VERB
cana-3463	279	11	its	its	PRON
cana-3463	279	12	efficacy	efficacy	NOUN
cana-3463	279	13	in	in	ADP
cana-3463	279	14	capturing	capture	VERB
cana-3463	279	15	real	real	ADJ
cana-3463	279	16	-	-	PUNCT
cana-3463	279	17	world	world	NOUN
cana-3463	279	18	examples	example	NOUN
cana-3463	279	19	.	.	PUNCT
cana-3463	280	1	the	the	DET
cana-3463	280	2	model	model	NOUN
cana-3463	280	3	is	be	AUX
cana-3463	280	4	so	so	ADV
cana-3463	280	5	effective	effective	ADJ
cana-3463	280	6	at	at	ADP
cana-3463	280	7	reducing	reduce	VERB
cana-3463	280	8	false	false	ADJ
cana-3463	280	9	positives	positive	NOUN
cana-3463	280	10	that	that	PRON
cana-3463	280	11	its	its	PRON
cana-3463	280	12	precision	precision	NOUN
cana-3463	280	13	is	be	AUX
cana-3463	280	14	an	an	DET
cana-3463	280	15	impressive	impressive	ADJ
cana-3463	280	16	92.3	92.3	NUM
cana-3463	280	17	%	%	NOUN
cana-3463	280	18	.	.	PUNCT
cana-3463	281	1	the	the	DET
cana-3463	281	2	f1	f1	NOUN
cana-3463	281	3	-	-	PUNCT
cana-3463	281	4	score	score	NOUN
cana-3463	281	5	,	,	PUNCT
cana-3463	281	6	which	which	PRON
cana-3463	281	7	balances	balance	VERB
cana-3463	281	8	accuracy	accuracy	NOUN
cana-3463	281	9	with	with	ADP
cana-3463	281	10	recall	recall	NOUN
cana-3463	281	11	,	,	PUNCT
cana-3463	281	12	is	be	AUX
cana-3463	281	13	an	an	DET
cana-3463	281	14	impressive	impressive	ADJ
cana-3463	281	15	91.25	91.25	NUM
cana-3463	281	16	percent	percent	NOUN
cana-3463	281	17	.	.	PUNCT
cana-3463	282	1	the	the	DET
cana-3463	282	2	rnn	rnn	PROPN
cana-3463	282	3	's	's	PART
cana-3463	282	4	sequential	sequential	ADJ
cana-3463	282	5	modeling	modeling	NOUN
cana-3463	282	6	capabilities	capability	NOUN
cana-3463	282	7	make	make	VERB
cana-3463	282	8	it	it	PRON
cana-3463	282	9	well	well	ADV
cana-3463	282	10	-	-	PUNCT
cana-3463	282	11	suited	suit	VERB
cana-3463	282	12	for	for	ADP
cana-3463	282	13	tasks	task	NOUN
cana-3463	282	14	where	where	SCONJ
cana-3463	282	15	temporal	temporal	ADJ
cana-3463	282	16	dependencies	dependency	NOUN
cana-3463	282	17	play	play	VERB
cana-3463	282	18	a	a	DET
cana-3463	282	19	critical	critical	ADJ
cana-3463	282	20	role	role	NOUN
cana-3463	282	21	,	,	PUNCT
cana-3463	282	22	such	such	ADJ
cana-3463	282	23	as	as	ADP
cana-3463	282	24	gene	gene	NOUN
cana-3463	282	25	classification	classification	NOUN
cana-3463	282	26	based	base	VERB
cana-3463	282	27	on	on	ADP
cana-3463	282	28	spectrogram	spectrogram	NOUN
cana-3463	282	29	data	datum	NOUN
cana-3463	282	30	.	.	PUNCT
cana-3463	283	1	figure	figure	NOUN
cana-3463	283	2	8	8	NUM
cana-3463	283	3	.	.	PUNCT
cana-3463	284	1	precision	precision	NOUN
cana-3463	284	2	comparison	comparison	NOUN
cana-3463	284	3	of	of	ADP
cana-3463	284	4	various	various	ADJ
cana-3463	284	5	models	model	NOUN
cana-3463	284	6	.	.	PUNCT
cana-3463	285	1	the	the	DET
cana-3463	285	2	graph	graph	NOUN
cana-3463	285	3	neural	neural	ADJ
cana-3463	285	4	network	network	NOUN
cana-3463	285	5	(	(	PUNCT
cana-3463	285	6	gnn	gnn	PROPN
cana-3463	285	7	)	)	PUNCT
cana-3463	285	8	model	model	NOUN
cana-3463	285	9	emerges	emerge	VERB
cana-3463	285	10	as	as	ADP
cana-3463	285	11	the	the	DET
cana-3463	285	12	top	top	ADJ
cana-3463	285	13	performer	performer	NOUN
cana-3463	285	14	in	in	ADP
cana-3463	285	15	this	this	DET
cana-3463	285	16	evaluation	evaluation	NOUN
cana-3463	285	17	,	,	PUNCT
cana-3463	285	18	with	with	ADP
cana-3463	285	19	a	a	DET
cana-3463	285	20	remarkable	remarkable	ADJ
cana-3463	285	21	accuracy	accuracy	NOUN
cana-3463	285	22	rate	rate	NOUN
cana-3463	285	23	of	of	ADP
cana-3463	285	24	97.97	97.97	NUM
cana-3463	285	25	%	%	NOUN
cana-3463	285	26	.	.	PUNCT
cana-3463	286	1	this	this	DET
cana-3463	286	2	high	high	ADJ
cana-3463	286	3	accuracy	accuracy	NOUN
cana-3463	286	4	signifies	signify	VERB
cana-3463	286	5	its	its	PRON
cana-3463	286	6	exceptional	exceptional	ADJ
cana-3463	286	7	ability	ability	NOUN
cana-3463	286	8	to	to	PART
cana-3463	286	9	correctly	correctly	ADV
cana-3463	286	10	classify	classify	VERB
cana-3463	286	11	instances	instance	NOUN
cana-3463	286	12	.	.	PUNCT
cana-3463	287	1	its	its	PRON
cana-3463	287	2	96.96	96.96	NUM
cana-3463	287	3	%	%	NOUN
cana-3463	287	4	recall	recall	NOUN
cana-3463	287	5	rate	rate	NOUN
cana-3463	287	6	and	and	CCONJ
cana-3463	287	7	96.2	96.2	NUM
cana-3463	287	8	%	%	NOUN
cana-3463	287	9	accuracy	accuracy	NOUN
cana-3463	287	10	score	score	NOUN
cana-3463	287	11	attest	attest	NOUN
cana-3463	287	12	to	to	ADP
cana-3463	287	13	its	its	PRON
cana-3463	287	14	capacity	capacity	NOUN
cana-3463	287	15	to	to	PART
cana-3463	287	16	accurately	accurately	ADV
cana-3463	287	17	detect	detect	VERB
cana-3463	287	18	true	true	ADJ
cana-3463	287	19	positives	positive	NOUN
cana-3463	287	20	while	while	SCONJ
cana-3463	287	21	reducing	reduce	VERB
cana-3463	287	22	false	false	ADJ
cana-3463	287	23	alarms	alarm	NOUN
cana-3463	287	24	,	,	PUNCT
cana-3463	287	25	respectively	respectively	ADV
cana-3463	287	26	.	.	PUNCT
cana-3463	288	1	the	the	DET
cana-3463	288	2	f1	f1	NOUN
cana-3463	288	3	-	-	PUNCT
cana-3463	288	4	score	score	NOUN
cana-3463	288	5	,	,	PUNCT
cana-3463	288	6	an	an	DET
cana-3463	288	7	amalgamation	amalgamation	NOUN
cana-3463	288	8	of	of	ADP
cana-3463	288	9	precision	precision	NOUN
cana-3463	288	10	and	and	CCONJ
cana-3463	288	11	recall	recall	NOUN
cana-3463	288	12	,	,	PUNCT
cana-3463	288	13	reaches	reach	VERB
cana-3463	288	14	an	an	DET
cana-3463	288	15	impressive	impressive	ADJ
cana-3463	288	16	96.69	96.69	NUM
cana-3463	288	17	%	%	NOUN
cana-3463	288	18	.	.	PUNCT
cana-3463	289	1	gnns	gnns	PROPN
cana-3463	289	2	,	,	PUNCT
cana-3463	289	3	designed	design	VERB
cana-3463	289	4	to	to	PART
cana-3463	289	5	capture	capture	VERB
cana-3463	289	6	complex	complex	ADJ
cana-3463	289	7	relationships	relationship	NOUN
cana-3463	289	8	within	within	ADP
cana-3463	289	9	graph	graph	NOUN
cana-3463	289	10	-	-	PUNCT
cana-3463	289	11	structured	structure	VERB
cana-3463	289	12	data	datum	NOUN
cana-3463	289	13	,	,	PUNCT
cana-3463	289	14	excel	excel	VERB
cana-3463	289	15	in	in	ADP
cana-3463	289	16	scenarios	scenario	NOUN
cana-3463	289	17	where	where	SCONJ
cana-3463	289	18	understanding	understand	VERB
cana-3463	289	19	interactions	interaction	NOUN
cana-3463	289	20	between	between	ADP
cana-3463	289	21	data	datum	NOUN
cana-3463	289	22	points	point	NOUN
cana-3463	289	23	is	be	AUX
cana-3463	289	24	essential	essential	ADJ
cana-3463	289	25	.	.	PUNCT
cana-3463	290	1	in	in	ADP
cana-3463	290	2	the	the	DET
cana-3463	290	3	context	context	NOUN
cana-3463	290	4	of	of	ADP
cana-3463	290	5	breast	breast	NOUN
cana-3463	290	6	cancer	cancer	NOUN
cana-3463	290	7	gene	gene	NOUN
cana-3463	290	8	classification	classification	NOUN
cana-3463	290	9	,	,	PUNCT
cana-3463	290	10	the	the	DET
cana-3463	290	11	gnn	gnn	PROPN
cana-3463	290	12	's	's	PART
cana-3463	290	13	outstanding	outstanding	ADJ
cana-3463	290	14	performance	performance	NOUN
cana-3463	290	15	indicates	indicate	VERB
cana-3463	290	16	its	its	PRON
cana-3463	290	17	potential	potential	NOUN
cana-3463	290	18	in	in	ADP
cana-3463	290	19	unveiling	unveil	VERB
cana-3463	290	20	intricate	intricate	ADJ
cana-3463	290	21	gene	gene	NOUN
cana-3463	290	22	interactions	interaction	NOUN
cana-3463	290	23	associated	associate	VERB
cana-3463	290	24	with	with	ADP
cana-3463	290	25	cancer	cancer	NOUN
cana-3463	290	26	.	.	PUNCT
cana-3463	291	1	communications	communication	NOUN
cana-3463	291	2	on	on	ADP
cana-3463	291	3	applied	apply	VERB
cana-3463	291	4	nonlinear	nonlinear	ADJ
cana-3463	291	5	analysis	analysis	NOUN
cana-3463	291	6	issn	issn	NOUN
cana-3463	291	7	:	:	PUNCT
cana-3463	291	8	1074	1074	NUM
cana-3463	291	9	-	-	PUNCT
cana-3463	291	10	133x	133x	NUM
cana-3463	291	11	vol	vol	NOUN
cana-3463	291	12	32	32	NUM
cana-3463	291	13	no	no	NOUN
cana-3463	291	14	.	.	PUNCT
cana-3463	292	1	7s	7	NOUN
cana-3463	292	2	(	(	PUNCT
cana-3463	292	3	2025	2025	NUM
cana-3463	292	4	)	)	PUNCT
cana-3463	293	1	556	556	NUM
cana-3463	293	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	293	3	figure	figure	NOUN
cana-3463	293	4	9	9	NUM
cana-3463	293	5	.	.	PUNCT
cana-3463	294	1	f1	f1	NOUN
cana-3463	294	2	score	score	NOUN
cana-3463	294	3	comparison	comparison	NOUN
cana-3463	294	4	of	of	ADP
cana-3463	294	5	various	various	ADJ
cana-3463	294	6	models	model	NOUN
cana-3463	294	7	.	.	PUNCT
cana-3463	295	1	in	in	ADP
cana-3463	295	2	summary	summary	NOUN
cana-3463	295	3	,	,	PUNCT
cana-3463	295	4	the	the	DET
cana-3463	295	5	performance	performance	NOUN
cana-3463	295	6	evaluation	evaluation	NOUN
cana-3463	295	7	of	of	ADP
cana-3463	295	8	these	these	DET
cana-3463	295	9	four	four	NUM
cana-3463	295	10	models	model	NOUN
cana-3463	295	11	provides	provide	VERB
cana-3463	295	12	valuable	valuable	ADJ
cana-3463	295	13	insights	insight	NOUN
cana-3463	295	14	into	into	ADP
cana-3463	295	15	their	their	PRON
cana-3463	295	16	strengths	strength	NOUN
cana-3463	295	17	and	and	CCONJ
cana-3463	295	18	weaknesses	weakness	NOUN
cana-3463	295	19	.	.	PUNCT
cana-3463	296	1	when	when	SCONJ
cana-3463	296	2	it	it	PRON
cana-3463	296	3	comes	come	VERB
cana-3463	296	4	to	to	ADP
cana-3463	296	5	breast	breast	NOUN
cana-3463	296	6	cancer	cancer	NOUN
cana-3463	296	7	gene	gene	NOUN
cana-3463	296	8	categorization	categorization	NOUN
cana-3463	296	9	,	,	PUNCT
cana-3463	296	10	the	the	DET
cana-3463	296	11	1d	1d	NUM
cana-3463	296	12	-	-	PUNCT
cana-3463	296	13	cnn	cnn	NOUN
cana-3463	296	14	shows	show	VERB
cana-3463	296	15	promising	promising	ADJ
cana-3463	296	16	effectiveness	effectiveness	NOUN
cana-3463	296	17	,	,	PUNCT
cana-3463	296	18	notably	notably	ADV
cana-3463	296	19	in	in	ADP
cana-3463	296	20	terms	term	NOUN
cana-3463	296	21	of	of	ADP
cana-3463	296	22	accuracy	accuracy	NOUN
cana-3463	296	23	and	and	CCONJ
cana-3463	296	24	f1	f1	NOUN
cana-3463	296	25	-	-	PUNCT
cana-3463	296	26	score	score	NOUN
cana-3463	296	27	.	.	PUNCT
cana-3463	297	1	the	the	DET
cana-3463	297	2	typical	typical	ADJ
cana-3463	297	3	cnn	cnn	PROPN
cana-3463	297	4	displays	display	VERB
cana-3463	297	5	a	a	DET
cana-3463	297	6	well	well	ADV
cana-3463	297	7	-	-	PUNCT
cana-3463	297	8	rounded	round	VERB
cana-3463	297	9	effectiveness	effectiveness	NOUN
cana-3463	297	10	,	,	PUNCT
cana-3463	297	11	however	however	ADV
cana-3463	297	12	its	its	PRON
cana-3463	297	13	somewhat	somewhat	ADV
cana-3463	297	14	reduced	reduce	VERB
cana-3463	297	15	accuracy	accuracy	NOUN
cana-3463	297	16	may	may	AUX
cana-3463	297	17	not	not	PART
cana-3463	297	18	always	always	ADV
cana-3463	297	19	be	be	AUX
cana-3463	297	20	desirable	desirable	ADJ
cana-3463	297	21	.	.	PUNCT
cana-3463	298	1	the	the	DET
cana-3463	298	2	rnn	rnn	NOUN
cana-3463	298	3	significantly	significantly	ADV
cana-3463	298	4	improves	improve	VERB
cana-3463	298	5	classification	classification	NOUN
cana-3463	298	6	accuracy	accuracy	NOUN
cana-3463	298	7	,	,	PUNCT
cana-3463	298	8	making	make	VERB
cana-3463	298	9	it	it	PRON
cana-3463	298	10	a	a	DET
cana-3463	298	11	robust	robust	ADJ
cana-3463	298	12	choice	choice	NOUN
cana-3463	298	13	for	for	ADP
cana-3463	298	14	sequential	sequential	ADJ
cana-3463	298	15	data	datum	NOUN
cana-3463	298	16	analysis	analysis	NOUN
cana-3463	298	17	.	.	PUNCT
cana-3463	299	1	finally	finally	ADV
cana-3463	299	2	,	,	PUNCT
cana-3463	299	3	the	the	DET
cana-3463	299	4	gnn	gnn	PROPN
cana-3463	299	5	stands	stand	VERB
cana-3463	299	6	out	out	ADP
cana-3463	299	7	as	as	ADP
cana-3463	299	8	the	the	DET
cana-3463	299	9	top	top	ADV
cana-3463	299	10	-	-	PUNCT
cana-3463	299	11	performing	perform	VERB
cana-3463	299	12	model	model	NOUN
cana-3463	299	13	,	,	PUNCT
cana-3463	299	14	demonstrating	demonstrate	VERB
cana-3463	299	15	exceptional	exceptional	ADJ
cana-3463	299	16	accuracy	accuracy	NOUN
cana-3463	299	17	,	,	PUNCT
cana-3463	299	18	recall	recall	NOUN
cana-3463	299	19	,	,	PUNCT
cana-3463	299	20	and	and	CCONJ
cana-3463	299	21	precision	precision	NOUN
cana-3463	299	22	,	,	PUNCT
cana-3463	299	23	emphasizing	emphasize	VERB
cana-3463	299	24	its	its	PRON
cana-3463	299	25	suitability	suitability	NOUN
cana-3463	299	26	for	for	ADP
cana-3463	299	27	tasks	task	NOUN
cana-3463	299	28	where	where	SCONJ
cana-3463	299	29	complex	complex	ADJ
cana-3463	299	30	gene	gene	NOUN
cana-3463	299	31	interactions	interaction	NOUN
cana-3463	299	32	are	be	AUX
cana-3463	299	33	a	a	DET
cana-3463	299	34	focal	focal	ADJ
cana-3463	299	35	point	point	NOUN
cana-3463	299	36	.	.	PUNCT
cana-3463	300	1	this	this	DET
cana-3463	300	2	detailed	detailed	ADJ
cana-3463	300	3	evaluation	evaluation	NOUN
cana-3463	300	4	equips	equip	VERB
cana-3463	300	5	researchers	researcher	NOUN
cana-3463	300	6	and	and	CCONJ
cana-3463	300	7	practitioners	practitioner	NOUN
cana-3463	300	8	with	with	ADP
cana-3463	300	9	the	the	DET
cana-3463	300	10	information	information	NOUN
cana-3463	300	11	needed	need	VERB
cana-3463	300	12	to	to	PART
cana-3463	300	13	select	select	VERB
cana-3463	300	14	the	the	DET
cana-3463	300	15	most	most	ADV
cana-3463	300	16	appropriate	appropriate	ADJ
cana-3463	300	17	model	model	NOUN
cana-3463	300	18	for	for	ADP
cana-3463	300	19	their	their	PRON
cana-3463	300	20	specific	specific	ADJ
cana-3463	300	21	breast	breast	NOUN
cana-3463	300	22	cancer	cancer	NOUN
cana-3463	300	23	gene	gene	NOUN
cana-3463	300	24	classification	classification	NOUN
cana-3463	300	25	needs	need	NOUN
cana-3463	300	26	,	,	PUNCT
cana-3463	300	27	ultimately	ultimately	ADV
cana-3463	300	28	advancing	advance	VERB
cana-3463	300	29	our	our	PRON
cana-3463	300	30	understanding	understanding	NOUN
cana-3463	300	31	of	of	ADP
cana-3463	300	32	cancer	cancer	NOUN
cana-3463	300	33	biology	biology	NOUN
cana-3463	300	34	and	and	CCONJ
cana-3463	300	35	diagnosis.the	diagnosis.the	DET
cana-3463	300	36	confusion	confusion	NOUN
cana-3463	300	37	matrices	matrix	NOUN
cana-3463	300	38	of	of	ADP
cana-3463	300	39	many	many	ADJ
cana-3463	300	40	models	model	NOUN
cana-3463	300	41	are	be	AUX
cana-3463	300	42	displayed	display	VERB
cana-3463	300	43	in	in	ADP
cana-3463	300	44	figure	figure	NOUN
cana-3463	300	45	10	10	NUM
cana-3463	300	46	.	.	PUNCT
cana-3463	301	1	figure	figure	NOUN
cana-3463	301	2	10	10	NUM
cana-3463	301	3	.	.	PUNCT
cana-3463	302	1	different	different	ADJ
cana-3463	302	2	models	model	NOUN
cana-3463	302	3	'	'	PART
cana-3463	302	4	confusion	confusion	NOUN
cana-3463	302	5	matrix	matrix	NOUN
cana-3463	302	6	during	during	ADP
cana-3463	302	7	the	the	DET
cana-3463	302	8	training	training	NOUN
cana-3463	302	9	phase	phase	NOUN
cana-3463	302	10	,	,	PUNCT
cana-3463	302	11	the	the	DET
cana-3463	302	12	effectiveness	effectiveness	NOUN
cana-3463	302	13	of	of	ADP
cana-3463	302	14	algorithms	algorithm	NOUN
cana-3463	302	15	for	for	ADP
cana-3463	302	16	machine	machine	NOUN
cana-3463	302	17	learning	learning	NOUN
cana-3463	302	18	,	,	PUNCT
cana-3463	302	19	such	such	ADJ
cana-3463	302	20	as	as	ADP
cana-3463	302	21	gnn	gnn	PROPN
cana-3463	302	22	models	model	NOUN
cana-3463	302	23	,	,	PUNCT
cana-3463	302	24	is	be	AUX
cana-3463	302	25	evaluated	evaluate	VERB
cana-3463	302	26	primarily	primarily	ADV
cana-3463	302	27	by	by	ADP
cana-3463	302	28	two	two	NUM
cana-3463	302	29	metrics	metric	NOUN
cana-3463	302	30	:	:	PUNCT
cana-3463	302	31	training	training	NOUN
cana-3463	302	32	accuracy	accuracy	NOUN
cana-3463	302	33	and	and	CCONJ
cana-3463	302	34	training	training	NOUN
cana-3463	302	35	loss	loss	NOUN
cana-3463	302	36	.	.	PUNCT
cana-3463	303	1	each	each	DET
cana-3463	303	2	metric	metric	NOUN
cana-3463	303	3	serves	serve	VERB
cana-3463	303	4	a	a	DET
cana-3463	303	5	specific	specific	ADJ
cana-3463	303	6	purpose	purpose	NOUN
cana-3463	303	7	in	in	ADP
cana-3463	303	8	understanding	understand	VERB
cana-3463	303	9	the	the	DET
cana-3463	303	10	model	model	NOUN
cana-3463	303	11	's	's	PART
cana-3463	303	12	behavior	behavior	NOUN
cana-3463	303	13	and	and	CCONJ
cana-3463	303	14	optimization	optimization	NOUN
cana-3463	303	15	progress	progress	NOUN
cana-3463	303	16	.	.	PUNCT
cana-3463	304	1	communications	communication	NOUN
cana-3463	304	2	on	on	ADP
cana-3463	304	3	applied	apply	VERB
cana-3463	304	4	nonlinear	nonlinear	ADJ
cana-3463	304	5	analysis	analysis	NOUN
cana-3463	304	6	issn	issn	NOUN
cana-3463	304	7	:	:	PUNCT
cana-3463	304	8	1074	1074	NUM
cana-3463	304	9	-	-	PUNCT
cana-3463	304	10	133x	133x	NUM
cana-3463	304	11	vol	vol	NOUN
cana-3463	304	12	32	32	NUM
cana-3463	304	13	no	no	NOUN
cana-3463	304	14	.	.	PUNCT
cana-3463	305	1	7s	7	NOUN
cana-3463	305	2	(	(	PUNCT
cana-3463	305	3	2025	2025	NUM
cana-3463	305	4	)	)	PUNCT
cana-3463	305	5	557	557	NUM
cana-3463	305	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	305	7	the	the	DET
cana-3463	305	8	accuracy	accuracy	NOUN
cana-3463	305	9	of	of	ADP
cana-3463	305	10	the	the	DET
cana-3463	305	11	training	training	NOUN
cana-3463	305	12	dataset	dataset	NOUN
cana-3463	305	13	is	be	AUX
cana-3463	305	14	evaluated	evaluate	VERB
cana-3463	305	15	by	by	ADP
cana-3463	305	16	the	the	DET
cana-3463	305	17	percentage	percentage	NOUN
cana-3463	305	18	of	of	ADP
cana-3463	305	19	properly	properly	ADV
cana-3463	305	20	labeled	label	VERB
cana-3463	305	21	samples	sample	NOUN
cana-3463	305	22	.	.	PUNCT
cana-3463	306	1	it	it	PRON
cana-3463	306	2	sheds	shed	VERB
cana-3463	306	3	light	light	NOUN
cana-3463	306	4	on	on	ADP
cana-3463	306	5	how	how	SCONJ
cana-3463	306	6	well	well	ADV
cana-3463	306	7	the	the	DET
cana-3463	306	8	model	model	NOUN
cana-3463	306	9	is	be	AUX
cana-3463	306	10	grasping	grasp	VERB
cana-3463	306	11	the	the	DET
cana-3463	306	12	lessons	lesson	NOUN
cana-3463	306	13	presented	present	VERB
cana-3463	306	14	by	by	ADP
cana-3463	306	15	the	the	DET
cana-3463	306	16	training	training	NOUN
cana-3463	306	17	data	datum	NOUN
cana-3463	306	18	.	.	PUNCT
cana-3463	307	1	correctly	correctly	ADV
cana-3463	307	2	forecasted	forecast	VERB
cana-3463	307	3	instances	instance	NOUN
cana-3463	307	4	(	(	PUNCT
cana-3463	307	5	true	true	ADJ
cana-3463	307	6	positives	positive	NOUN
cana-3463	307	7	and	and	CCONJ
cana-3463	307	8	true	true	ADJ
cana-3463	307	9	negatives	negative	NOUN
cana-3463	307	10	)	)	PUNCT
cana-3463	307	11	are	be	AUX
cana-3463	307	12	divided	divide	VERB
cana-3463	307	13	by	by	ADP
cana-3463	307	14	the	the	DET
cana-3463	307	15	total	total	ADJ
cana-3463	307	16	amount	amount	NOUN
cana-3463	307	17	of	of	ADP
cana-3463	307	18	instances	instance	NOUN
cana-3463	307	19	in	in	ADP
cana-3463	307	20	the	the	DET
cana-3463	307	21	training	training	NOUN
cana-3463	307	22	dataset	dataset	VERB
cana-3463	307	23	to	to	PART
cana-3463	307	24	arrive	arrive	VERB
cana-3463	307	25	at	at	ADP
cana-3463	307	26	this	this	DET
cana-3463	307	27	measure	measure	NOUN
cana-3463	307	28	.	.	PUNCT
cana-3463	308	1	when	when	SCONJ
cana-3463	308	2	the	the	DET
cana-3463	308	3	training	training	NOUN
cana-3463	308	4	accuracy	accuracy	NOUN
cana-3463	308	5	is	be	AUX
cana-3463	308	6	high	high	ADJ
cana-3463	308	7	,	,	PUNCT
cana-3463	308	8	it	it	PRON
cana-3463	308	9	means	mean	VERB
cana-3463	308	10	that	that	SCONJ
cana-3463	308	11	the	the	DET
cana-3463	308	12	model	model	NOUN
cana-3463	308	13	is	be	AUX
cana-3463	308	14	accurately	accurately	ADV
cana-3463	308	15	representing	represent	VERB
cana-3463	308	16	the	the	DET
cana-3463	308	17	training	training	NOUN
cana-3463	308	18	data	datum	NOUN
cana-3463	308	19	.	.	PUNCT
cana-3463	309	1	however	however	ADV
cana-3463	309	2	,	,	PUNCT
cana-3463	309	3	it	it	PRON
cana-3463	309	4	's	be	AUX
cana-3463	309	5	important	important	ADJ
cana-3463	309	6	to	to	PART
cana-3463	309	7	note	note	VERB
cana-3463	309	8	that	that	SCONJ
cana-3463	309	9	a	a	DET
cana-3463	309	10	high	high	ADJ
cana-3463	309	11	training	training	NOUN
cana-3463	309	12	accuracy	accuracy	NOUN
cana-3463	309	13	alone	alone	ADV
cana-3463	309	14	does	do	AUX
cana-3463	309	15	n't	not	PART
cana-3463	309	16	guarantee	guarantee	VERB
cana-3463	309	17	good	good	ADJ
cana-3463	309	18	generalization	generalization	NOUN
cana-3463	309	19	to	to	ADP
cana-3463	309	20	unseen	unseen	ADJ
cana-3463	309	21	data	datum	NOUN
cana-3463	309	22	.	.	PUNCT
cana-3463	310	1	if	if	SCONJ
cana-3463	310	2	the	the	DET
cana-3463	310	3	model	model	NOUN
cana-3463	310	4	overfits	overfit	VERB
cana-3463	310	5	the	the	DET
cana-3463	310	6	training	training	NOUN
cana-3463	310	7	data	datum	NOUN
cana-3463	310	8	,	,	PUNCT
cana-3463	310	9	it	it	PRON
cana-3463	310	10	may	may	AUX
cana-3463	310	11	not	not	PART
cana-3463	310	12	perform	perform	VERB
cana-3463	310	13	well	well	ADV
cana-3463	310	14	on	on	ADP
cana-3463	310	15	new	new	ADJ
cana-3463	310	16	,	,	PUNCT
cana-3463	310	17	unseen	unseen	ADJ
cana-3463	310	18	examples	example	NOUN
cana-3463	310	19	.	.	PUNCT
cana-3463	311	1	on	on	ADP
cana-3463	311	2	the	the	DET
cana-3463	311	3	other	other	ADJ
cana-3463	311	4	hand	hand	NOUN
cana-3463	311	5	,	,	PUNCT
cana-3463	311	6	if	if	SCONJ
cana-3463	311	7	training	training	NOUN
cana-3463	311	8	accuracy	accuracy	NOUN
cana-3463	311	9	is	be	AUX
cana-3463	311	10	low	low	ADJ
cana-3463	311	11	,	,	PUNCT
cana-3463	311	12	the	the	DET
cana-3463	311	13	model	model	NOUN
cana-3463	311	14	may	may	AUX
cana-3463	311	15	be	be	AUX
cana-3463	311	16	failing	fail	VERB
cana-3463	311	17	to	to	PART
cana-3463	311	18	correctly	correctly	ADV
cana-3463	311	19	interpret	interpret	VERB
cana-3463	311	20	the	the	DET
cana-3463	311	21	data	datum	NOUN
cana-3463	311	22	.	.	PUNCT
cana-3463	312	1	the	the	DET
cana-3463	312	2	accuracy	accuracy	NOUN
cana-3463	312	3	with	with	ADP
cana-3463	312	4	which	which	PRON
cana-3463	312	5	a	a	DET
cana-3463	312	6	model	model	NOUN
cana-3463	312	7	's	's	PART
cana-3463	312	8	forecasts	forecast	NOUN
cana-3463	312	9	match	match	VERB
cana-3463	312	10	the	the	DET
cana-3463	312	11	labels	label	NOUN
cana-3463	312	12	in	in	ADP
cana-3463	312	13	its	its	PRON
cana-3463	312	14	training	training	NOUN
cana-3463	312	15	set	set	NOUN
cana-3463	312	16	is	be	AUX
cana-3463	312	17	measured	measure	VERB
cana-3463	312	18	by	by	ADP
cana-3463	312	19	the	the	DET
cana-3463	312	20	training	training	NOUN
cana-3463	312	21	loss	loss	NOUN
cana-3463	312	22	.	.	PUNCT
cana-3463	313	1	it	it	PRON
cana-3463	313	2	acts	act	VERB
cana-3463	313	3	as	as	ADP
cana-3463	313	4	a	a	DET
cana-3463	313	5	training	training	NOUN
cana-3463	313	6	target	target	NOUN
cana-3463	313	7	to	to	PART
cana-3463	313	8	optimize	optimize	VERB
cana-3463	313	9	towards	towards	ADP
cana-3463	313	10	,	,	PUNCT
cana-3463	313	11	pushing	push	VERB
cana-3463	313	12	the	the	DET
cana-3463	313	13	model	model	NOUN
cana-3463	313	14	toward	toward	ADP
cana-3463	313	15	higher	high	ADJ
cana-3463	313	16	predicted	predict	VERB
cana-3463	313	17	accuracy	accuracy	NOUN
cana-3463	313	18	.	.	PUNCT
cana-3463	314	1	mean	mean	VERB
cana-3463	314	2	squared	square	VERB
cana-3463	314	3	error	error	NOUN
cana-3463	314	4	and	and	CCONJ
cana-3463	314	5	categorized	categorize	VERB
cana-3463	314	6	cross	cross	NOUN
cana-3463	314	7	-	-	NOUN
cana-3463	314	8	entropy	entropy	NOUN
cana-3463	314	9	are	be	AUX
cana-3463	314	10	two	two	NUM
cana-3463	314	11	common	common	ADJ
cana-3463	314	12	examples	example	NOUN
cana-3463	314	13	of	of	ADP
cana-3463	314	14	loss	loss	NOUN
cana-3463	314	15	functions	function	NOUN
cana-3463	314	16	that	that	PRON
cana-3463	314	17	are	be	AUX
cana-3463	314	18	used	use	VERB
cana-3463	314	19	to	to	PART
cana-3463	314	20	calculate	calculate	VERB
cana-3463	314	21	the	the	DET
cana-3463	314	22	training	training	NOUN
cana-3463	314	23	loss	loss	NOUN
cana-3463	314	24	by	by	ADP
cana-3463	314	25	gauging	gauge	VERB
cana-3463	314	26	how	how	SCONJ
cana-3463	314	27	different	different	ADJ
cana-3463	314	28	the	the	DET
cana-3463	314	29	forecasts	forecast	NOUN
cana-3463	314	30	made	make	VERB
cana-3463	314	31	by	by	ADP
cana-3463	314	32	the	the	DET
cana-3463	314	33	model	model	NOUN
cana-3463	314	34	are	be	AUX
cana-3463	314	35	from	from	ADP
cana-3463	314	36	the	the	DET
cana-3463	314	37	actual	actual	ADJ
cana-3463	314	38	goals	goal	NOUN
cana-3463	314	39	.	.	PUNCT
cana-3463	315	1	the	the	DET
cana-3463	315	2	goal	goal	NOUN
cana-3463	315	3	during	during	ADP
cana-3463	315	4	training	training	NOUN
cana-3463	315	5	is	be	AUX
cana-3463	315	6	to	to	PART
cana-3463	315	7	minimize	minimize	VERB
cana-3463	315	8	this	this	DET
cana-3463	315	9	loss	loss	NOUN
cana-3463	315	10	,	,	PUNCT
cana-3463	315	11	driving	drive	VERB
cana-3463	315	12	the	the	DET
cana-3463	315	13	model	model	NOUN
cana-3463	315	14	to	to	PART
cana-3463	315	15	make	make	VERB
cana-3463	315	16	increasingly	increasingly	ADV
cana-3463	315	17	accurate	accurate	ADJ
cana-3463	315	18	predictions	prediction	NOUN
cana-3463	315	19	.	.	PUNCT
cana-3463	316	1	as	as	SCONJ
cana-3463	316	2	training	training	NOUN
cana-3463	316	3	progresses	progress	NOUN
cana-3463	316	4	,	,	PUNCT
cana-3463	316	5	the	the	DET
cana-3463	316	6	loss	loss	NOUN
cana-3463	316	7	generally	generally	ADV
cana-3463	316	8	decreases	decrease	VERB
cana-3463	316	9	,	,	PUNCT
cana-3463	316	10	indicating	indicate	VERB
cana-3463	316	11	that	that	SCONJ
cana-3463	316	12	the	the	DET
cana-3463	316	13	model	model	NOUN
cana-3463	316	14	is	be	AUX
cana-3463	316	15	improving	improve	VERB
cana-3463	316	16	its	its	PRON
cana-3463	316	17	predictive	predictive	ADJ
cana-3463	316	18	capabilities	capability	NOUN
cana-3463	316	19	.	.	PUNCT
cana-3463	317	1	however	however	ADV
cana-3463	317	2	,	,	PUNCT
cana-3463	317	3	achieving	achieve	VERB
cana-3463	317	4	a	a	DET
cana-3463	317	5	very	very	ADV
cana-3463	317	6	low	low	ADJ
cana-3463	317	7	training	training	NOUN
cana-3463	317	8	loss	loss	NOUN
cana-3463	317	9	does	do	AUX
cana-3463	317	10	n't	not	PART
cana-3463	317	11	guarantee	guarantee	VERB
cana-3463	317	12	good	good	ADJ
cana-3463	317	13	generalization	generalization	NOUN
cana-3463	317	14	.	.	PUNCT
cana-3463	318	1	overfitting	overfitte	VERB
cana-3463	318	2	is	be	AUX
cana-3463	318	3	a	a	DET
cana-3463	318	4	typical	typical	ADJ
cana-3463	318	5	problem	problem	NOUN
cana-3463	318	6	in	in	ADP
cana-3463	318	7	which	which	PRON
cana-3463	318	8	the	the	DET
cana-3463	318	9	model	model	NOUN
cana-3463	318	10	over	over	ADV
cana-3463	318	11	-	-	PUNCT
cana-3463	318	12	focuses	focus	VERB
cana-3463	318	13	on	on	ADP
cana-3463	318	14	fitting	fit	VERB
cana-3463	318	15	the	the	DET
cana-3463	318	16	training	training	NOUN
cana-3463	318	17	data	datum	NOUN
cana-3463	318	18	and	and	CCONJ
cana-3463	318	19	thus	thus	ADV
cana-3463	318	20	fails	fail	VERB
cana-3463	318	21	to	to	PART
cana-3463	318	22	apply	apply	VERB
cana-3463	318	23	to	to	ADP
cana-3463	318	24	new	new	ADJ
cana-3463	318	25	information	information	NOUN
cana-3463	318	26	.	.	PUNCT
cana-3463	319	1	the	the	DET
cana-3463	319	2	model	model	NOUN
cana-3463	319	3	's	's	PART
cana-3463	319	4	effectiveness	effectiveness	NOUN
cana-3463	319	5	on	on	ADP
cana-3463	319	6	unknown	unknown	ADJ
cana-3463	319	7	data	datum	NOUN
cana-3463	319	8	may	may	AUX
cana-3463	319	9	suffer	suffer	VERB
cana-3463	319	10	while	while	SCONJ
cana-3463	319	11	the	the	DET
cana-3463	319	12	training	training	NOUN
cana-3463	319	13	loss	loss	NOUN
cana-3463	319	14	may	may	AUX
cana-3463	319	15	be	be	AUX
cana-3463	319	16	artificially	artificially	ADV
cana-3463	319	17	low	low	ADJ
cana-3463	319	18	.	.	PUNCT
cana-3463	320	1	in	in	ADP
cana-3463	320	2	the	the	DET
cana-3463	320	3	context	context	NOUN
cana-3463	320	4	of	of	ADP
cana-3463	320	5	gnn	gnn	PROPN
cana-3463	320	6	models	model	NOUN
cana-3463	320	7	,	,	PUNCT
cana-3463	320	8	these	these	DET
cana-3463	320	9	metrics	metric	NOUN
cana-3463	320	10	are	be	AUX
cana-3463	320	11	particularly	particularly	ADV
cana-3463	320	12	important	important	ADJ
cana-3463	320	13	.	.	PUNCT
cana-3463	321	1	gnns	gnns	PROPN
cana-3463	321	2	are	be	AUX
cana-3463	321	3	designed	design	VERB
cana-3463	321	4	to	to	PART
cana-3463	321	5	handle	handle	VERB
cana-3463	321	6	graph	graph	NOUN
cana-3463	321	7	-	-	PUNCT
cana-3463	321	8	structured	structure	VERB
cana-3463	321	9	data	datum	NOUN
cana-3463	321	10	,	,	PUNCT
cana-3463	321	11	making	make	VERB
cana-3463	321	12	it	it	PRON
cana-3463	321	13	crucial	crucial	ADJ
cana-3463	321	14	to	to	PART
cana-3463	321	15	monitor	monitor	VERB
cana-3463	321	16	how	how	SCONJ
cana-3463	321	17	well	well	ADV
cana-3463	321	18	they	they	PRON
cana-3463	321	19	adapt	adapt	VERB
cana-3463	321	20	to	to	ADP
cana-3463	321	21	the	the	DET
cana-3463	321	22	relationships	relationship	NOUN
cana-3463	321	23	between	between	ADP
cana-3463	321	24	nodes	node	NOUN
cana-3463	321	25	.	.	PUNCT
cana-3463	322	1	by	by	ADP
cana-3463	322	2	tracking	track	VERB
cana-3463	322	3	training	training	NOUN
cana-3463	322	4	accuracy	accuracy	NOUN
cana-3463	322	5	and	and	CCONJ
cana-3463	322	6	training	training	NOUN
cana-3463	322	7	loss	loss	NOUN
cana-3463	322	8	,	,	PUNCT
cana-3463	322	9	practitioners	practitioner	NOUN
cana-3463	322	10	can	can	AUX
cana-3463	322	11	make	make	VERB
cana-3463	322	12	informed	informed	ADJ
cana-3463	322	13	decisions	decision	NOUN
cana-3463	322	14	during	during	ADP
cana-3463	322	15	model	model	NOUN
cana-3463	322	16	development	development	NOUN
cana-3463	322	17	.	.	PUNCT
cana-3463	323	1	these	these	DET
cana-3463	323	2	decisions	decision	NOUN
cana-3463	323	3	may	may	AUX
cana-3463	323	4	involve	involve	VERB
cana-3463	323	5	selecting	select	VERB
cana-3463	323	6	appropriate	appropriate	ADJ
cana-3463	323	7	gnn	gnn	PROPN
cana-3463	323	8	architectures	architecture	NOUN
cana-3463	323	9	,	,	PUNCT
cana-3463	323	10	fine	fine	ADV
cana-3463	323	11	-	-	PUNCT
cana-3463	323	12	tuning	tune	VERB
cana-3463	323	13	hyperparameters	hyperparameter	NOUN
cana-3463	323	14	,	,	PUNCT
cana-3463	323	15	and	and	CCONJ
cana-3463	323	16	addressing	address	VERB
cana-3463	323	17	issues	issue	NOUN
cana-3463	323	18	like	like	ADP
cana-3463	323	19	overfitting	overfitte	VERB
cana-3463	323	20	.	.	PUNCT
cana-3463	324	1	it	it	PRON
cana-3463	324	2	's	be	AUX
cana-3463	324	3	important	important	ADJ
cana-3463	324	4	to	to	PART
cana-3463	324	5	emphasize	emphasize	VERB
cana-3463	324	6	that	that	SCONJ
cana-3463	324	7	while	while	SCONJ
cana-3463	324	8	training	training	NOUN
cana-3463	324	9	accuracy	accuracy	NOUN
cana-3463	324	10	and	and	CCONJ
cana-3463	324	11	training	training	NOUN
cana-3463	324	12	loss	loss	NOUN
cana-3463	324	13	are	be	AUX
cana-3463	324	14	essential	essential	ADJ
cana-3463	324	15	for	for	ADP
cana-3463	324	16	model	model	NOUN
cana-3463	324	17	development	development	NOUN
cana-3463	324	18	,	,	PUNCT
cana-3463	324	19	the	the	DET
cana-3463	324	20	ultimate	ultimate	ADJ
cana-3463	324	21	measure	measure	NOUN
cana-3463	324	22	of	of	ADP
cana-3463	324	23	a	a	DET
cana-3463	324	24	model	model	NOUN
cana-3463	324	25	's	's	PART
cana-3463	324	26	effectiveness	effectiveness	NOUN
cana-3463	324	27	is	be	AUX
cana-3463	324	28	its	its	PRON
cana-3463	324	29	ability	ability	NOUN
cana-3463	324	30	to	to	PART
cana-3463	324	31	generalize	generalize	VERB
cana-3463	324	32	effectively	effectively	ADV
cana-3463	324	33	to	to	ADP
cana-3463	324	34	unseen	unseen	ADJ
cana-3463	324	35	data	datum	NOUN
cana-3463	324	36	.	.	PUNCT
cana-3463	325	1	this	this	DET
cana-3463	325	2	generalization	generalization	NOUN
cana-3463	325	3	is	be	AUX
cana-3463	325	4	typically	typically	ADV
cana-3463	325	5	assessed	assess	VERB
cana-3463	325	6	using	use	VERB
cana-3463	325	7	validation	validation	NOUN
cana-3463	325	8	and	and	CCONJ
cana-3463	325	9	test	test	NOUN
cana-3463	325	10	datasets	dataset	NOUN
cana-3463	325	11	.	.	PUNCT
cana-3463	326	1	achieving	achieve	VERB
cana-3463	326	2	a	a	DET
cana-3463	326	3	balance	balance	NOUN
cana-3463	326	4	between	between	ADP
cana-3463	326	5	high	high	ADJ
cana-3463	326	6	training	training	NOUN
cana-3463	326	7	accuracy	accuracy	NOUN
cana-3463	326	8	,	,	PUNCT
cana-3463	326	9	low	low	ADJ
cana-3463	326	10	training	training	NOUN
cana-3463	326	11	loss	loss	NOUN
cana-3463	326	12	,	,	PUNCT
cana-3463	326	13	and	and	CCONJ
cana-3463	326	14	strong	strong	ADJ
cana-3463	326	15	generalization	generalization	NOUN
cana-3463	326	16	is	be	AUX
cana-3463	326	17	a	a	DET
cana-3463	326	18	central	central	ADJ
cana-3463	326	19	challenge	challenge	NOUN
cana-3463	326	20	in	in	ADP
cana-3463	326	21	machine	machine	NOUN
cana-3463	326	22	learning	learning	NOUN
cana-3463	326	23	.	.	PUNCT
cana-3463	327	1	figure	figure	NOUN
cana-3463	327	2	11	11	NUM
cana-3463	327	3	shows	show	VERB
cana-3463	327	4	the	the	DET
cana-3463	327	5	training	training	NOUN
cana-3463	327	6	accuracy	accuracy	NOUN
cana-3463	327	7	and	and	CCONJ
cana-3463	327	8	loss	loss	NOUN
cana-3463	327	9	of	of	ADP
cana-3463	327	10	gnn	gnn	PROPN
cana-3463	327	11	model	model	NOUN
cana-3463	327	12	.	.	PUNCT
cana-3463	328	1	figure	figure	NOUN
cana-3463	328	2	11.training	11.training	NUM
cana-3463	328	3	accuracy	accuracy	NOUN
cana-3463	328	4	and	and	CCONJ
cana-3463	328	5	training	training	NOUN
cana-3463	328	6	loss	loss	NOUN
cana-3463	328	7	of	of	ADP
cana-3463	328	8	gnn	gnn	PROPN
cana-3463	328	9	model	model	NOUN
cana-3463	328	10	table	table	NOUN
cana-3463	328	11	3	3	NUM
cana-3463	328	12	and	and	CCONJ
cana-3463	328	13	figure	figure	VERB
cana-3463	328	14	12	12	NUM
cana-3463	328	15	shows	show	VERB
cana-3463	328	16	the	the	DET
cana-3463	328	17	time	time	NOUN
cana-3463	328	18	required	require	VERB
cana-3463	328	19	to	to	PART
cana-3463	328	20	compute	compute	VERB
cana-3463	328	21	various	various	ADJ
cana-3463	328	22	models	model	NOUN
cana-3463	328	23	.	.	PUNCT
cana-3463	329	1	table	table	NOUN
cana-3463	329	2	3	3	NUM
cana-3463	329	3	.	.	NOUN
cana-3463	329	4	time	time	NOUN
cana-3463	329	5	required	require	VERB
cana-3463	329	6	to	to	PART
cana-3463	329	7	compute	compute	VERB
cana-3463	329	8	several	several	ADJ
cana-3463	329	9	models	model	NOUN
cana-3463	329	10	model	model	NOUN
cana-3463	329	11	computation	computation	NOUN
cana-3463	329	12	time	time	NOUN
cana-3463	329	13	(	(	PUNCT
cana-3463	329	14	sec	sec	PROPN
cana-3463	329	15	)	)	PUNCT
cana-3463	329	16	1d	1d	NUM
cana-3463	329	17	-	-	PUNCT
cana-3463	329	18	cnn	cnn	PROPN
cana-3463	329	19	344	344	NUM
cana-3463	329	20	cnn	cnn	PROPN
cana-3463	329	21	320	320	NUM
cana-3463	329	22	rnn	rnn	VERB
cana-3463	329	23	288	288	NUM
cana-3463	329	24	gnn	gnn	NOUN
cana-3463	329	25	238	238	NUM
cana-3463	329	26	communications	communication	NOUN
cana-3463	329	27	on	on	ADP
cana-3463	329	28	applied	apply	VERB
cana-3463	329	29	nonlinear	nonlinear	ADJ
cana-3463	329	30	analysis	analysis	NOUN
cana-3463	329	31	issn	issn	NOUN
cana-3463	329	32	:	:	PUNCT
cana-3463	329	33	1074	1074	NUM
cana-3463	329	34	-	-	PUNCT
cana-3463	329	35	133x	133x	NUM
cana-3463	329	36	vol	vol	NOUN
cana-3463	329	37	32	32	NUM
cana-3463	329	38	no	no	NOUN
cana-3463	329	39	.	.	PUNCT
cana-3463	330	1	7s	7	NOUN
cana-3463	330	2	(	(	PUNCT
cana-3463	330	3	2025	2025	NUM
cana-3463	330	4	)	)	PUNCT
cana-3463	330	5	558	558	NUM
cana-3463	330	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	330	7	figure	figure	NOUN
cana-3463	330	8	12	12	NUM
cana-3463	330	9	.	.	PUNCT
cana-3463	331	1	computation	computation	NOUN
cana-3463	331	2	time	time	NOUN
cana-3463	331	3	of	of	ADP
cana-3463	331	4	various	various	ADJ
cana-3463	331	5	models	model	NOUN
cana-3463	331	6	.	.	PUNCT
cana-3463	332	1	the	the	DET
cana-3463	332	2	computation	computation	NOUN
cana-3463	332	3	times	time	NOUN
cana-3463	332	4	of	of	ADP
cana-3463	332	5	different	different	ADJ
cana-3463	332	6	machine	machine	NOUN
cana-3463	332	7	learning	learning	NOUN
cana-3463	332	8	models	model	NOUN
cana-3463	332	9	play	play	VERB
cana-3463	332	10	a	a	DET
cana-3463	332	11	crucial	crucial	ADJ
cana-3463	332	12	role	role	NOUN
cana-3463	332	13	in	in	ADP
cana-3463	332	14	evaluating	evaluate	VERB
cana-3463	332	15	their	their	PRON
cana-3463	332	16	efficiency	efficiency	NOUN
cana-3463	332	17	and	and	CCONJ
cana-3463	332	18	practicality	practicality	NOUN
cana-3463	332	19	for	for	ADP
cana-3463	332	20	various	various	ADJ
cana-3463	332	21	tasks	task	NOUN
cana-3463	332	22	.	.	PUNCT
cana-3463	333	1	in	in	ADP
cana-3463	333	2	a	a	DET
cana-3463	333	3	comparative	comparative	ADJ
cana-3463	333	4	analysis	analysis	NOUN
cana-3463	333	5	,	,	PUNCT
cana-3463	333	6	four	four	NUM
cana-3463	333	7	distinct	distinct	ADJ
cana-3463	333	8	models	model	NOUN
cana-3463	333	9	were	be	AUX
cana-3463	333	10	put	put	VERB
cana-3463	333	11	to	to	ADP
cana-3463	333	12	the	the	DET
cana-3463	333	13	test	test	NOUN
cana-3463	333	14	for	for	ADP
cana-3463	333	15	a	a	DET
cana-3463	333	16	specific	specific	ADJ
cana-3463	333	17	breast	breast	NOUN
cana-3463	333	18	cancer	cancer	NOUN
cana-3463	333	19	gene	gene	NOUN
cana-3463	333	20	detection	detection	NOUN
cana-3463	333	21	task	task	NOUN
cana-3463	333	22	.	.	PUNCT
cana-3463	334	1	the	the	DET
cana-3463	334	2	results	result	NOUN
cana-3463	334	3	revealed	reveal	VERB
cana-3463	334	4	the	the	DET
cana-3463	334	5	amount	amount	NOUN
cana-3463	334	6	of	of	ADP
cana-3463	334	7	time	time	NOUN
cana-3463	334	8	each	each	DET
cana-3463	334	9	model	model	NOUN
cana-3463	334	10	required	require	VERB
cana-3463	334	11	for	for	ADP
cana-3463	334	12	its	its	PRON
cana-3463	334	13	computations	computation	NOUN
cana-3463	334	14	.	.	PUNCT
cana-3463	335	1	the	the	DET
cana-3463	335	2	1d	1d	NUM
cana-3463	335	3	-	-	PUNCT
cana-3463	335	4	cnn	cnn	PROPN
cana-3463	335	5	model	model	NOUN
cana-3463	335	6	took	take	VERB
cana-3463	335	7	344	344	NUM
cana-3463	335	8	seconds	second	NOUN
cana-3463	335	9	to	to	PART
cana-3463	335	10	complete	complete	VERB
cana-3463	335	11	its	its	PRON
cana-3463	335	12	processing	processing	NOUN
cana-3463	335	13	,	,	PUNCT
cana-3463	335	14	while	while	SCONJ
cana-3463	335	15	the	the	DET
cana-3463	335	16	standard	standard	ADJ
cana-3463	335	17	cnn	cnn	PROPN
cana-3463	335	18	model	model	NOUN
cana-3463	335	19	required	require	VERB
cana-3463	335	20	320	320	NUM
cana-3463	335	21	seconds	second	NOUN
cana-3463	335	22	.	.	PUNCT
cana-3463	336	1	the	the	DET
cana-3463	336	2	rnn	rnn	PROPN
cana-3463	336	3	model	model	NOUN
cana-3463	336	4	exhibited	exhibit	VERB
cana-3463	336	5	slightly	slightly	ADV
cana-3463	336	6	shorter	short	ADJ
cana-3463	336	7	computation	computation	NOUN
cana-3463	336	8	time	time	NOUN
cana-3463	336	9	,	,	PUNCT
cana-3463	336	10	clocking	clock	VERB
cana-3463	336	11	in	in	ADP
cana-3463	336	12	at	at	ADP
cana-3463	336	13	288	288	NUM
cana-3463	336	14	seconds	second	NOUN
cana-3463	336	15	.	.	PUNCT
cana-3463	337	1	notably	notably	ADV
cana-3463	337	2	,	,	PUNCT
cana-3463	337	3	the	the	DET
cana-3463	337	4	graph	graph	NOUN
cana-3463	337	5	neural	neural	ADJ
cana-3463	337	6	network	network	NOUN
cana-3463	337	7	(	(	PUNCT
cana-3463	337	8	gnn	gnn	PROPN
cana-3463	337	9	)	)	PUNCT
cana-3463	337	10	model	model	NOUN
cana-3463	337	11	displayed	display	VERB
cana-3463	337	12	the	the	DET
cana-3463	337	13	most	most	ADV
cana-3463	337	14	efficient	efficient	ADJ
cana-3463	337	15	performance	performance	NOUN
cana-3463	337	16	,	,	PUNCT
cana-3463	337	17	needing	need	VERB
cana-3463	337	18	only	only	ADV
cana-3463	337	19	238	238	NUM
cana-3463	337	20	seconds	second	NOUN
cana-3463	337	21	to	to	PART
cana-3463	337	22	finish	finish	VERB
cana-3463	337	23	its	its	PRON
cana-3463	337	24	computations	computation	NOUN
cana-3463	337	25	.	.	PUNCT
cana-3463	338	1	this	this	DET
cana-3463	338	2	disparity	disparity	NOUN
cana-3463	338	3	in	in	ADP
cana-3463	338	4	computation	computation	NOUN
cana-3463	338	5	times	time	NOUN
cana-3463	338	6	underscores	underscore	VERB
cana-3463	338	7	the	the	DET
cana-3463	338	8	significance	significance	NOUN
cana-3463	338	9	of	of	ADP
cana-3463	338	10	model	model	NOUN
cana-3463	338	11	selection	selection	NOUN
cana-3463	338	12	in	in	ADP
cana-3463	338	13	real	real	ADJ
cana-3463	338	14	-	-	PUNCT
cana-3463	338	15	world	world	NOUN
cana-3463	338	16	applications	application	NOUN
cana-3463	338	17	where	where	SCONJ
cana-3463	338	18	time	time	NOUN
cana-3463	338	19	constraints	constraint	NOUN
cana-3463	338	20	can	can	AUX
cana-3463	338	21	be	be	AUX
cana-3463	338	22	a	a	DET
cana-3463	338	23	critical	critical	ADJ
cana-3463	338	24	factor	factor	NOUN
cana-3463	338	25	in	in	ADP
cana-3463	338	26	decision	decision	NOUN
cana-3463	338	27	-	-	PUNCT
cana-3463	338	28	making	make	VERB
cana-3463	338	29	processes	process	NOUN
cana-3463	338	30	.	.	PUNCT
cana-3463	339	1	the	the	DET
cana-3463	339	2	gnn	gnn	PROPN
cana-3463	339	3	's	's	PART
cana-3463	339	4	swiftness	swiftness	NOUN
cana-3463	339	5	in	in	ADP
cana-3463	339	6	handling	handle	VERB
cana-3463	339	7	the	the	DET
cana-3463	339	8	breast	breast	NOUN
cana-3463	339	9	cancer	cancer	NOUN
cana-3463	339	10	gene	gene	NOUN
cana-3463	339	11	detection	detection	NOUN
cana-3463	339	12	task	task	NOUN
cana-3463	339	13	highlights	highlight	VERB
cana-3463	339	14	its	its	PRON
cana-3463	339	15	potential	potential	ADJ
cana-3463	339	16	suitability	suitability	NOUN
cana-3463	339	17	for	for	ADP
cana-3463	339	18	time	time	NOUN
cana-3463	339	19	-	-	PUNCT
cana-3463	339	20	sensitive	sensitive	ADJ
cana-3463	339	21	medical	medical	ADJ
cana-3463	339	22	applications	application	NOUN
cana-3463	339	23	.	.	PUNCT
cana-3463	340	1	5	5	X
cana-3463	340	2	.	.	X
cana-3463	340	3	conclusion	conclusion	NOUN
cana-3463	340	4	in	in	ADP
cana-3463	340	5	conclusion	conclusion	NOUN
cana-3463	340	6	,	,	PUNCT
cana-3463	340	7	the	the	DET
cana-3463	340	8	integration	integration	NOUN
cana-3463	340	9	of	of	ADP
cana-3463	340	10	deep	deep	ADJ
cana-3463	340	11	learning	learning	NOUN
cana-3463	340	12	techniques	technique	NOUN
cana-3463	340	13	for	for	ADP
cana-3463	340	14	automatic	automatic	ADJ
cana-3463	340	15	breast	breast	NOUN
cana-3463	340	16	cancer	cancer	NOUN
cana-3463	340	17	gene	gene	NOUN
cana-3463	340	18	prediction	prediction	NOUN
cana-3463	340	19	using	use	VERB
cana-3463	340	20	spectrograms	spectrogram	NOUN
cana-3463	340	21	marks	mark	VERB
cana-3463	340	22	a	a	DET
cana-3463	340	23	significant	significant	ADJ
cana-3463	340	24	advancement	advancement	NOUN
cana-3463	340	25	in	in	ADP
cana-3463	340	26	medical	medical	ADJ
cana-3463	340	27	and	and	CCONJ
cana-3463	340	28	genomic	genomic	ADJ
cana-3463	340	29	research	research	NOUN
cana-3463	340	30	.	.	PUNCT
cana-3463	341	1	this	this	DET
cana-3463	341	2	study	study	NOUN
cana-3463	341	3	highlights	highlight	VERB
cana-3463	341	4	the	the	DET
cana-3463	341	5	transformative	transformative	ADJ
cana-3463	341	6	potential	potential	NOUN
cana-3463	341	7	of	of	ADP
cana-3463	341	8	cutting	cut	VERB
cana-3463	341	9	-	-	PUNCT
cana-3463	341	10	edge	edge	NOUN
cana-3463	341	11	methodologies	methodology	NOUN
cana-3463	341	12	in	in	ADP
cana-3463	341	13	converting	convert	VERB
cana-3463	341	14	complex	complex	ADJ
cana-3463	341	15	genomic	genomic	ADJ
cana-3463	341	16	data	datum	NOUN
cana-3463	341	17	into	into	ADP
cana-3463	341	18	actionable	actionable	ADJ
cana-3463	341	19	insights	insight	NOUN
cana-3463	341	20	.	.	PUNCT
cana-3463	342	1	the	the	DET
cana-3463	342	2	meticulous	meticulous	ADJ
cana-3463	342	3	preprocessing	preprocessing	NOUN
cana-3463	342	4	steps	step	NOUN
cana-3463	342	5	,	,	PUNCT
cana-3463	342	6	including	include	VERB
cana-3463	342	7	genome	genome	NOUN
cana-3463	342	8	digitization	digitization	NOUN
cana-3463	342	9	,	,	PUNCT
cana-3463	342	10	numerical	numerical	PROPN
cana-3463	342	11	conversion	conversion	PROPN
cana-3463	342	12	,	,	PUNCT
cana-3463	342	13	and	and	CCONJ
cana-3463	342	14	spectrogram	spectrogram	NOUN
cana-3463	342	15	generation	generation	NOUN
cana-3463	342	16	through	through	ADP
cana-3463	342	17	short	short	ADJ
cana-3463	342	18	-	-	PUNCT
cana-3463	342	19	time	time	NOUN
cana-3463	342	20	fourier	fourier	NOUN
cana-3463	342	21	transform	transform	NOUN
cana-3463	342	22	(	(	PUNCT
cana-3463	342	23	stft	stft	PROPN
cana-3463	342	24	)	)	PUNCT
cana-3463	342	25	,	,	PUNCT
cana-3463	342	26	laid	lay	VERB
cana-3463	342	27	a	a	DET
cana-3463	342	28	robust	robust	ADJ
cana-3463	342	29	foundation	foundation	NOUN
cana-3463	342	30	for	for	ADP
cana-3463	342	31	effective	effective	ADJ
cana-3463	342	32	model	model	NOUN
cana-3463	342	33	development	development	NOUN
cana-3463	342	34	.	.	PUNCT
cana-3463	343	1	four	four	NUM
cana-3463	343	2	advanced	advanced	ADJ
cana-3463	343	3	deep	deep	ADJ
cana-3463	343	4	learning	learn	VERB
cana-3463	343	5	architectures—1dcnn	architectures—1dcnn	PROPN
cana-3463	343	6	,	,	PUNCT
cana-3463	343	7	cnn	cnn	PROPN
cana-3463	343	8	,	,	PUNCT
cana-3463	343	9	rnn	rnn	PROPN
cana-3463	343	10	,	,	PUNCT
cana-3463	343	11	and	and	CCONJ
cana-3463	343	12	gnn	gnn	PROPN
cana-3463	343	13	—	—	PUNCT
cana-3463	343	14	were	be	AUX
cana-3463	343	15	employed	employ	VERB
cana-3463	343	16	,	,	PUNCT
cana-3463	343	17	each	each	DET
cana-3463	343	18	demonstrating	demonstrate	VERB
cana-3463	343	19	unique	unique	ADJ
cana-3463	343	20	strengths	strength	NOUN
cana-3463	343	21	and	and	CCONJ
cana-3463	343	22	computational	computational	ADJ
cana-3463	343	23	efficiencies	efficiency	NOUN
cana-3463	343	24	.	.	PUNCT
cana-3463	344	1	among	among	ADP
cana-3463	344	2	these	these	PRON
cana-3463	344	3	,	,	PUNCT
cana-3463	344	4	the	the	DET
cana-3463	344	5	graph	graph	NOUN
cana-3463	344	6	neural	neural	ADJ
cana-3463	344	7	network	network	NOUN
cana-3463	344	8	(	(	PUNCT
cana-3463	344	9	gnn	gnn	PROPN
cana-3463	344	10	)	)	PUNCT
cana-3463	344	11	emerged	emerge	VERB
cana-3463	344	12	as	as	ADP
cana-3463	344	13	the	the	DET
cana-3463	344	14	most	most	ADV
cana-3463	344	15	accurate	accurate	ADJ
cana-3463	344	16	,	,	PUNCT
cana-3463	344	17	achieving	achieve	VERB
cana-3463	344	18	an	an	DET
cana-3463	344	19	outstanding	outstanding	ADJ
cana-3463	344	20	97.97	97.97	NUM
cana-3463	344	21	%	%	NOUN
cana-3463	344	22	accuracy	accuracy	NOUN
cana-3463	344	23	,	,	PUNCT
cana-3463	344	24	underscoring	underscore	VERB
cana-3463	344	25	its	its	PRON
cana-3463	344	26	potential	potential	NOUN
cana-3463	344	27	for	for	ADP
cana-3463	344	28	clinical	clinical	ADJ
cana-3463	344	29	applications	application	NOUN
cana-3463	344	30	.	.	PUNCT
cana-3463	345	1	the	the	DET
cana-3463	345	2	recurrent	recurrent	ADJ
cana-3463	345	3	neural	neural	ADJ
cana-3463	345	4	network	network	NOUN
cana-3463	345	5	(	(	PUNCT
cana-3463	345	6	rnn	rnn	PROPN
cana-3463	345	7	)	)	PUNCT
cana-3463	345	8	followed	follow	VERB
cana-3463	345	9	closely	closely	ADV
cana-3463	345	10	with	with	ADP
cana-3463	345	11	an	an	DET
cana-3463	345	12	impressive	impressive	ADJ
cana-3463	345	13	93.88	93.88	NUM
cana-3463	345	14	%	%	NOUN
cana-3463	345	15	accuracy	accuracy	NOUN
cana-3463	345	16	,	,	PUNCT
cana-3463	345	17	while	while	SCONJ
cana-3463	345	18	the	the	DET
cana-3463	345	19	convolutional	convolutional	ADJ
cana-3463	345	20	neural	neural	ADJ
cana-3463	345	21	network	network	NOUN
cana-3463	345	22	(	(	PUNCT
cana-3463	345	23	cnn	cnn	PROPN
cana-3463	345	24	)	)	PUNCT
cana-3463	345	25	and	and	CCONJ
cana-3463	345	26	1d	1d	NUM
cana-3463	345	27	-	-	PUNCT
cana-3463	345	28	cnn	cnn	NOUN
cana-3463	345	29	models	model	NOUN
cana-3463	345	30	showcased	showcase	VERB
cana-3463	345	31	competitive	competitive	ADJ
cana-3463	345	32	accuracies	accuracy	NOUN
cana-3463	345	33	of	of	ADP
cana-3463	345	34	91.02	91.02	NUM
cana-3463	345	35	%	%	NOUN
cana-3463	345	36	and	and	CCONJ
cana-3463	345	37	89.38	89.38	NUM
cana-3463	345	38	%	%	NOUN
cana-3463	345	39	,	,	PUNCT
cana-3463	345	40	respectively	respectively	ADV
cana-3463	345	41	.	.	PUNCT
cana-3463	346	1	comprehensive	comprehensive	ADJ
cana-3463	346	2	evaluations	evaluation	NOUN
cana-3463	346	3	of	of	ADP
cana-3463	346	4	these	these	DET
cana-3463	346	5	models	model	NOUN
cana-3463	346	6	using	use	VERB
cana-3463	346	7	metrics	metric	NOUN
cana-3463	346	8	such	such	ADJ
cana-3463	346	9	as	as	ADP
cana-3463	346	10	accuracy	accuracy	NOUN
cana-3463	346	11	,	,	PUNCT
cana-3463	346	12	precision	precision	NOUN
cana-3463	346	13	,	,	PUNCT
cana-3463	346	14	recall	recall	NOUN
cana-3463	346	15	,	,	PUNCT
cana-3463	346	16	and	and	CCONJ
cana-3463	346	17	f1	f1	NOUN
cana-3463	346	18	score	score	NOUN
cana-3463	346	19	provided	provide	VERB
cana-3463	346	20	valuable	valuable	ADJ
cana-3463	346	21	insights	insight	NOUN
cana-3463	346	22	into	into	ADP
cana-3463	346	23	their	their	PRON
cana-3463	346	24	performance.this	performance.this	PRON
cana-3463	346	25	research	research	NOUN
cana-3463	346	26	underscores	underscore	VERB
cana-3463	346	27	the	the	DET
cana-3463	346	28	importance	importance	NOUN
cana-3463	346	29	of	of	ADP
cana-3463	346	30	interdisciplinary	interdisciplinary	ADJ
cana-3463	346	31	collaboration	collaboration	NOUN
cana-3463	346	32	between	between	ADP
cana-3463	346	33	machine	machine	NOUN
cana-3463	346	34	learning	learn	VERB
cana-3463	346	35	experts	expert	NOUN
cana-3463	346	36	and	and	CCONJ
cana-3463	346	37	medical	medical	ADJ
cana-3463	346	38	professionals	professional	NOUN
cana-3463	346	39	,	,	PUNCT
cana-3463	346	40	paving	pave	VERB
cana-3463	346	41	the	the	DET
cana-3463	346	42	way	way	NOUN
cana-3463	346	43	for	for	ADP
cana-3463	346	44	transformative	transformative	ADJ
cana-3463	346	45	advancements	advancement	NOUN
cana-3463	346	46	in	in	ADP
cana-3463	346	47	genomics	genomic	NOUN
cana-3463	346	48	and	and	CCONJ
cana-3463	346	49	healthcare	healthcare	PROPN
cana-3463	346	50	.	.	PUNCT
cana-3463	347	1	while	while	SCONJ
cana-3463	347	2	breast	breast	NOUN
cana-3463	347	3	cancer	cancer	NOUN
cana-3463	347	4	gene	gene	NOUN
cana-3463	347	5	prediction	prediction	NOUN
cana-3463	347	6	is	be	AUX
cana-3463	347	7	the	the	DET
cana-3463	347	8	focus	focus	NOUN
cana-3463	347	9	here	here	ADV
cana-3463	347	10	,	,	PUNCT
cana-3463	347	11	the	the	DET
cana-3463	347	12	implications	implication	NOUN
cana-3463	347	13	of	of	ADP
cana-3463	347	14	integrating	integrate	VERB
cana-3463	347	15	deep	deep	ADJ
cana-3463	347	16	learning	learning	NOUN
cana-3463	347	17	and	and	CCONJ
cana-3463	347	18	genomics	genomic	NOUN
cana-3463	347	19	extend	extend	VERB
cana-3463	347	20	to	to	ADP
cana-3463	347	21	broader	broad	ADJ
cana-3463	347	22	applications	application	NOUN
cana-3463	347	23	in	in	ADP
cana-3463	347	24	early	early	ADJ
cana-3463	347	25	detection	detection	NOUN
cana-3463	347	26	and	and	CCONJ
cana-3463	347	27	personalized	personalized	ADJ
cana-3463	347	28	treatment	treatment	NOUN
cana-3463	347	29	.	.	PUNCT
cana-3463	348	1	future	future	ADJ
cana-3463	348	2	improvements	improvement	NOUN
cana-3463	348	3	in	in	ADP
cana-3463	348	4	deep	deep	ADJ
cana-3463	348	5	learning	learning	NOUN
cana-3463	348	6	algorithms	algorithm	NOUN
cana-3463	348	7	,	,	PUNCT
cana-3463	348	8	coupled	couple	VERB
cana-3463	348	9	with	with	ADP
cana-3463	348	10	larger	large	ADJ
cana-3463	348	11	and	and	CCONJ
cana-3463	348	12	more	more	ADV
cana-3463	348	13	diverse	diverse	ADJ
cana-3463	348	14	datasets	dataset	NOUN
cana-3463	348	15	,	,	PUNCT
cana-3463	348	16	hold	hold	VERB
cana-3463	348	17	the	the	DET
cana-3463	348	18	promise	promise	NOUN
cana-3463	348	19	of	of	ADP
cana-3463	348	20	enhancing	enhance	VERB
cana-3463	348	21	the	the	DET
cana-3463	348	22	accuracy	accuracy	NOUN
cana-3463	348	23	and	and	CCONJ
cana-3463	348	24	reliability	reliability	NOUN
cana-3463	348	25	of	of	ADP
cana-3463	348	26	breast	breast	NOUN
cana-3463	348	27	cancer	cancer	NOUN
cana-3463	348	28	gene	gene	NOUN
cana-3463	348	29	prediction	prediction	NOUN
cana-3463	348	30	.	.	PUNCT
cana-3463	349	1	ultimately	ultimately	ADV
cana-3463	349	2	,	,	PUNCT
cana-3463	349	3	this	this	DET
cana-3463	349	4	work	work	NOUN
cana-3463	349	5	represents	represent	VERB
cana-3463	349	6	a	a	DET
cana-3463	349	7	meaningful	meaningful	ADJ
cana-3463	349	8	step	step	NOUN
cana-3463	349	9	forward	forward	ADV
cana-3463	349	10	in	in	ADP
cana-3463	349	11	leveraging	leverage	VERB
cana-3463	349	12	artificial	artificial	ADJ
cana-3463	349	13	intelligence	intelligence	NOUN
cana-3463	349	14	to	to	PART
cana-3463	349	15	improve	improve	VERB
cana-3463	349	16	healthcare	healthcare	NOUN
cana-3463	349	17	outcomes	outcome	NOUN
cana-3463	349	18	and	and	CCONJ
cana-3463	349	19	save	save	VERB
cana-3463	349	20	lives	life	NOUN
cana-3463	349	21	.	.	PUNCT
cana-3463	350	1	communications	communication	NOUN
cana-3463	350	2	on	on	ADP
cana-3463	350	3	applied	apply	VERB
cana-3463	350	4	nonlinear	nonlinear	ADJ
cana-3463	350	5	analysis	analysis	NOUN
cana-3463	350	6	issn	issn	NOUN
cana-3463	350	7	:	:	PUNCT
cana-3463	350	8	1074	1074	NUM
cana-3463	350	9	-	-	PUNCT
cana-3463	350	10	133x	133x	NUM
cana-3463	350	11	vol	vol	NOUN
cana-3463	350	12	32	32	NUM
cana-3463	350	13	no	no	NOUN
cana-3463	350	14	.	.	PUNCT
cana-3463	351	1	7s	7	NOUN
cana-3463	351	2	(	(	PUNCT
cana-3463	351	3	2025	2025	NUM
cana-3463	351	4	)	)	PUNCT
cana-3463	351	5	559	559	NUM
cana-3463	351	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3463	351	7	references	reference	NOUN
cana-3463	351	8	[	[	X
cana-3463	351	9	1	1	NUM
cana-3463	351	10	]	]	PUNCT
cana-3463	351	11	laghmati	laghmati	NOUN
cana-3463	351	12	,	,	PUNCT
cana-3463	351	13	s.	s.	PROPN
cana-3463	351	14	,	,	PUNCT
cana-3463	351	15	hicham	hicham	PROPN
cana-3463	351	16	,	,	PUNCT
cana-3463	351	17	k.	k.	PROPN
cana-3463	351	18	,	,	PUNCT
cana-3463	351	19	hamida	hamida	PROPN
cana-3463	351	20	,	,	PUNCT
cana-3463	351	21	s.	s.	PROPN
cana-3463	351	22	,	,	PUNCT
cana-3463	351	23	boutahar	boutahar	PROPN
cana-3463	351	24	,	,	PUNCT
cana-3463	351	25	k.	k.	PROPN
cana-3463	351	26	,	,	PUNCT
cana-3463	351	27	cherradi	cherradi	PROPN
cana-3463	351	28	,	,	PUNCT
cana-3463	351	29	b.	b.	PROPN
cana-3463	351	30	,	,	PUNCT
cana-3463	351	31	&	&	CCONJ
cana-3463	351	32	tmiri	tmiri	PROPN
cana-3463	351	33	,	,	PUNCT
cana-3463	351	34	a.	a.	NOUN
cana-3463	351	35	(	(	PUNCT
cana-3463	351	36	2023	2023	NUM
cana-3463	351	37	)	)	PUNCT
cana-3463	351	38	.	.	PUNCT
cana-3463	352	1	a	a	DET
cana-3463	352	2	cad	cad	NOUN
cana-3463	352	3	system	system	NOUN
cana-3463	352	4	based	base	VERB
cana-3463	352	5	on	on	ADP
cana-3463	352	6	a	a	DET
cana-3463	352	7	stacked	stack	VERB
cana-3463	352	8	ensemble	ensemble	ADJ
cana-3463	352	9	model	model	NOUN
cana-3463	352	10	and	and	CCONJ
cana-3463	352	11	ml	ml	ADP
cana-3463	352	12	techniques	technique	NOUN
cana-3463	352	13	for	for	ADP
cana-3463	352	14	breast	breast	NOUN
cana-3463	352	15	cancer	cancer	NOUN
cana-3463	352	16	prognosis	prognosis	NOUN
cana-3463	352	17	.	.	PUNCT
cana-3463	353	1	2023	2023	NUM
cana-3463	353	2	3rd	3rd	ADJ
cana-3463	353	3	international	international	ADJ
cana-3463	353	4	conference	conference	NOUN
cana-3463	353	5	on	on	ADP
cana-3463	353	6	innovative	innovative	ADJ
cana-3463	353	7	research	research	NOUN
cana-3463	353	8	in	in	ADP
cana-3463	353	9	applied	apply	VERB
cana-3463	353	10	science	science	NOUN
cana-3463	353	11	,	,	PUNCT
cana-3463	353	12	engineering	engineering	NOUN
cana-3463	353	13	and	and	CCONJ
cana-3463	353	14	technology	technology	NOUN
cana-3463	353	15	(	(	PUNCT
cana-3463	353	16	iraset	iraset	NOUN
cana-3463	353	17	)	)	PUNCT
cana-3463	353	18	,	,	PUNCT
cana-3463	353	19	mohammedia	mohammedia	PROPN
cana-3463	353	20	,	,	PUNCT
cana-3463	353	21	morocco	morocco	PROPN
cana-3463	353	22	,	,	PUNCT
cana-3463	353	23	1–7	1–7	X
cana-3463	353	24	.	.	PUNCT
cana-3463	353	25	https://doi.org/10.1109/iraset57153.2023.10152913	https://doi.org/10.1109/iraset57153.2023.10152913	PROPN
cana-3463	354	1	[	[	X
cana-3463	354	2	2	2	NUM
cana-3463	354	3	]	]	X
cana-3463	354	4	sravanthi	sravanthi	X
cana-3463	354	5	,	,	PUNCT
cana-3463	354	6	v.	v.	ADV
cana-3463	354	7	,	,	PUNCT
cana-3463	354	8	annapurna	annapurna	ADJ
cana-3463	354	9	,	,	PUNCT
cana-3463	354	10	t.	t.	PROPN
cana-3463	354	11	,	,	PUNCT
cana-3463	354	12	krishna	krishna	PROPN
cana-3463	354	13	,	,	PUNCT
cana-3463	354	14	v.	v.	PROPN
cana-3463	354	15	r.	r.	PROPN
cana-3463	354	16	,	,	PUNCT
cana-3463	354	17	&	&	CCONJ
cana-3463	354	18	jyothi	jyothi	PROPN
cana-3463	354	19	,	,	PUNCT
cana-3463	354	20	b.	b.	PROPN
cana-3463	354	21	(	(	PUNCT
cana-3463	354	22	2023	2023	NUM
cana-3463	354	23	)	)	PUNCT
cana-3463	354	24	.	.	PUNCT
cana-3463	355	1	stoa	stoa	ADJ
cana-3463	355	2	-	-	PUNCT
cana-3463	355	3	based	base	VERB
cana-3463	355	4	feature	feature	NOUN
cana-3463	355	5	selection	selection	NOUN
cana-3463	355	6	with	with	ADP
cana-3463	355	7	improved	improved	ADJ
cana-3463	355	8	lstm	lstm	NOUN
cana-3463	355	9	model	model	NOUN
cana-3463	355	10	for	for	ADP
cana-3463	355	11	breast	breast	NOUN
cana-3463	355	12	cancer	cancer	NOUN
cana-3463	355	13	diagnosis	diagnosis	NOUN
cana-3463	355	14	in	in	ADP
cana-3463	355	15	iot	iot	NOUN
cana-3463	355	16	.	.	PROPN
cana-3463	356	1	2023	2023	NUM
cana-3463	356	2	fifth	fifth	ADJ
cana-3463	356	3	international	international	ADJ
cana-3463	356	4	conference	conference	NOUN
cana-3463	356	5	on	on	ADP
cana-3463	356	6	electrical	electrical	ADJ
cana-3463	356	7	,	,	PUNCT
cana-3463	356	8	computer	computer	NOUN
cana-3463	356	9	and	and	CCONJ
cana-3463	356	10	communication	communication	NOUN
cana-3463	356	11	technologies	technology	NOUN
cana-3463	356	12	(	(	PUNCT
cana-3463	356	13	icecct	icecct	NOUN
cana-3463	356	14	)	)	PUNCT
cana-3463	356	15	,	,	PUNCT
cana-3463	356	16	erode	erode	VERB
cana-3463	356	17	,	,	PUNCT
cana-3463	356	18	india	india	PROPN
cana-3463	356	19	,	,	PUNCT
cana-3463	356	20	1–7	1–7	NUM
cana-3463	356	21	.	.	PUNCT
cana-3463	356	22	https://doi.org/10.1109/icecct56650.2023.10179785	https://doi.org/10.1109/icecct56650.2023.10179785	PROPN
cana-3463	357	1	[	[	X
cana-3463	357	2	3	3	NUM
cana-3463	357	3	]	]	X
cana-3463	357	4	sajiv	sajiv	PROPN
cana-3463	357	5	,	,	PUNCT
cana-3463	357	6	g.	g.	PROPN
cana-3463	357	7	,	,	PUNCT
cana-3463	357	8	et	et	PROPN
cana-3463	357	9	al	al	PROPN
cana-3463	357	10	.	.	PROPN
cana-3463	357	11	(	(	PUNCT
cana-3463	357	12	2022	2022	NUM
cana-3463	357	13	)	)	PUNCT
cana-3463	357	14	.	.	PUNCT
cana-3463	358	1	multiple	multiple	ADJ
cana-3463	358	2	class	class	NOUN
cana-3463	358	3	breast	breast	NOUN
cana-3463	358	4	cancer	cancer	NOUN
cana-3463	358	5	detection	detection	NOUN
cana-3463	358	6	method	method	NOUN
cana-3463	358	7	based	base	VERB
cana-3463	358	8	on	on	ADP
cana-3463	358	9	deep	deep	ADJ
cana-3463	358	10	learning	learning	NOUN
cana-3463	358	11	and	and	CCONJ
cana-3463	358	12	mirrcnn	mirrcnn	PROPN
cana-3463	358	13	model	model	PROPN
cana-3463	358	14	.	.	PUNCT
cana-3463	359	1	2022	2022	NUM
cana-3463	359	2	international	international	ADJ
cana-3463	359	3	conference	conference	NOUN
cana-3463	359	4	on	on	ADP
cana-3463	359	5	inventive	inventive	ADJ
cana-3463	359	6	computation	computation	NOUN
cana-3463	359	7	technologies	technology	NOUN
cana-3463	359	8	(	(	PUNCT
cana-3463	359	9	icict	icict	NOUN
cana-3463	359	10	)	)	PUNCT
cana-3463	359	11	,	,	PUNCT
cana-3463	359	12	nepal	nepal	ADJ
cana-3463	359	13	,	,	PUNCT
cana-3463	359	14	981–987	981–987	NUM
cana-3463	359	15	.	.	PUNCT
cana-3463	360	1	https://doi.org/10.1109/icict54344.2022.9850707	https://doi.org/10.1109/icict54344.2022.9850707	NOUN
cana-3463	361	1	[	[	X
cana-3463	361	2	4	4	NUM
cana-3463	361	3	]	]	X
cana-3463	361	4	adedayo	adedayo	NOUN
cana-3463	361	5	-	-	PUNCT
cana-3463	361	6	ajayi	ajayi	NOUN
cana-3463	361	7	,	,	PUNCT
cana-3463	361	8	v.	v.	PROPN
cana-3463	361	9	o.	o.	PROPN
cana-3463	361	10	,	,	PUNCT
cana-3463	361	11	ogundokun	ogundokun	PROPN
cana-3463	361	12	,	,	PUNCT
cana-3463	361	13	r.	r.	PROPN
cana-3463	361	14	o.	o.	PROPN
cana-3463	361	15	,	,	PUNCT
cana-3463	361	16	tunbosun	tunbosun	NOUN
cana-3463	361	17	,	,	PUNCT
cana-3463	361	18	a.	a.	PROPN
cana-3463	361	19	e.	e.	PROPN
cana-3463	361	20	,	,	PUNCT
cana-3463	361	21	adebiyi	adebiyi	NOUN
cana-3463	361	22	,	,	PUNCT
cana-3463	361	23	m.	m.	NOUN
cana-3463	361	24	o.	o.	PROPN
cana-3463	361	25	,	,	PUNCT
cana-3463	361	26	&	&	CCONJ
cana-3463	361	27	adebiyi	adebiyi	NOUN
cana-3463	361	28	,	,	PUNCT
cana-3463	361	29	a.	a.	NOUN
cana-3463	361	30	a.	a.	NOUN
cana-3463	361	31	(	(	PUNCT
cana-3463	361	32	2023	2023	NUM
cana-3463	361	33	)	)	PUNCT
cana-3463	361	34	.	.	PUNCT
cana-3463	362	1	metastatic	metastatic	ADJ
cana-3463	362	2	breast	breast	NOUN
cana-3463	362	3	cancer	cancer	NOUN
cana-3463	362	4	detection	detection	NOUN
cana-3463	362	5	using	use	VERB
cana-3463	362	6	deep	deep	ADJ
cana-3463	362	7	learning	learning	NOUN
cana-3463	362	8	algorithms	algorithm	NOUN
cana-3463	362	9	:	:	PUNCT
cana-3463	362	10	a	a	DET
cana-3463	362	11	systematic	systematic	ADJ
cana-3463	362	12	review	review	NOUN
cana-3463	362	13	.	.	PUNCT
cana-3463	363	1	2023	2023	NUM
cana-3463	363	2	international	international	ADJ
cana-3463	363	3	conference	conference	NOUN
cana-3463	363	4	on	on	ADP
cana-3463	363	5	science	science	NOUN
cana-3463	363	6	,	,	PUNCT
cana-3463	363	7	engineering	engineering	NOUN
cana-3463	363	8	and	and	CCONJ
cana-3463	363	9	business	business	NOUN
cana-3463	363	10	for	for	ADP
cana-3463	363	11	sustainable	sustainable	ADJ
cana-3463	363	12	development	development	NOUN
cana-3463	363	13	goals	goal	NOUN
cana-3463	363	14	(	(	PUNCT
cana-3463	363	15	seb	seb	NOUN
cana-3463	363	16	-	-	PUNCT
cana-3463	363	17	sdg	sdg	NOUN
cana-3463	363	18	)	)	PUNCT
cana-3463	363	19	,	,	PUNCT
cana-3463	363	20	omu	omu	PROPN
cana-3463	363	21	-	-	PUNCT
cana-3463	363	22	aran	aran	ADJ
cana-3463	363	23	,	,	PUNCT
cana-3463	363	24	nigeria	nigeria	PROPN
cana-3463	363	25	,	,	PUNCT
cana-3463	363	26	1–5	1–5	PROPN
cana-3463	363	27	.	.	PUNCT
cana-3463	363	28	https://doi.org/10.1109/seb-sdg57117.2023.10124547	https://doi.org/10.1109/seb-sdg57117.2023.10124547	X
cana-3463	364	1	[	[	X
cana-3463	364	2	5	5	NUM
cana-3463	364	3	]	]	PUNCT
cana-3463	364	4	patro	patro	NOUN
cana-3463	364	5	,	,	PUNCT
cana-3463	364	6	s.	s.	PROPN
cana-3463	364	7	,	,	PUNCT
cana-3463	364	8	lakshmi	lakshmi	PROPN
cana-3463	364	9	,	,	PUNCT
cana-3463	364	10	b.	b.	PROPN
cana-3463	364	11	v.	v.	PROPN
cana-3463	364	12	,	,	PUNCT
cana-3463	364	13	sailaja	sailaja	PROPN
cana-3463	364	14	,	,	PUNCT
cana-3463	364	15	v.	v.	ADV
cana-3463	364	16	,	,	PUNCT
cana-3463	364	17	sailaja	sailaja	NOUN
cana-3463	364	18	,	,	PUNCT
cana-3463	364	19	v.	v.	ADV
cana-3463	364	20	,	,	PUNCT
cana-3463	364	21	panda	panda	NOUN
cana-3463	364	22	,	,	PUNCT
cana-3463	364	23	b.	b.	PROPN
cana-3463	364	24	s.	s.	PROPN
cana-3463	364	25	,	,	PUNCT
cana-3463	364	26	&	&	CCONJ
cana-3463	364	27	verma	verma	PROPN
cana-3463	364	28	,	,	PUNCT
cana-3463	364	29	d.	d.	PROPN
cana-3463	364	30	(	(	PUNCT
cana-3463	364	31	2023	2023	NUM
cana-3463	364	32	)	)	PUNCT
cana-3463	364	33	.	.	PUNCT
cana-3463	365	1	detecting	detect	VERB
cana-3463	365	2	breast	breast	NOUN
cana-3463	365	3	cancer	cancer	NOUN
cana-3463	365	4	using	use	VERB
cana-3463	365	5	machine	machine	NOUN
cana-3463	365	6	learning	learn	VERB
cana-3463	365	7	algorithms	algorithm	NOUN
cana-3463	365	8	:	:	PUNCT
cana-3463	365	9	the	the	DET
cana-3463	365	10	efficient	efficient	ADJ
cana-3463	365	11	and	and	CCONJ
cana-3463	365	12	accurate	accurate	ADJ
cana-3463	365	13	way	way	NOUN
cana-3463	365	14	.	.	PUNCT
cana-3463	366	1	2023	2023	NUM
cana-3463	366	2	international	international	ADJ
cana-3463	366	3	conference	conference	NOUN
cana-3463	366	4	on	on	ADP
cana-3463	366	5	artificial	artificial	ADJ
cana-3463	366	6	intelligence	intelligence	NOUN
cana-3463	366	7	and	and	CCONJ
cana-3463	366	8	smart	smart	ADJ
cana-3463	366	9	communication	communication	NOUN
cana-3463	366	10	(	(	PUNCT
cana-3463	366	11	aisc	aisc	PROPN
cana-3463	366	12	)	)	PUNCT
cana-3463	366	13	,	,	PUNCT
cana-3463	366	14	greater	great	ADJ
cana-3463	366	15	noida	noida	PROPN
cana-3463	366	16	,	,	PUNCT
cana-3463	366	17	india	india	PROPN
cana-3463	366	18	,	,	PUNCT
cana-3463	366	19	1102–1104	1102–1104	NUM
cana-3463	366	20	.	.	PUNCT
cana-3463	367	1	https://doi.org/10.1109/aisc56616.2023.10085251	https://doi.org/10.1109/aisc56616.2023.10085251	PROPN
cana-3463	368	1	[	[	X
cana-3463	368	2	6	6	NUM
cana-3463	368	3	]	]	SYM
cana-3463	368	4	boobalan	boobalan	NOUN
cana-3463	368	5	,	,	PUNCT
cana-3463	368	6	s.	s.	PROPN
cana-3463	368	7	,	,	PUNCT
cana-3463	368	8	das	das	PROPN
cana-3463	368	9	,	,	PUNCT
cana-3463	368	10	s.	s.	PROPN
cana-3463	368	11	,	,	PUNCT
cana-3463	368	12	pandi	pandi	PROPN
cana-3463	368	13	,	,	PUNCT
cana-3463	368	14	v.	v.	PROPN
cana-3463	368	15	s.	s.	PROPN
cana-3463	368	16	,	,	PUNCT
cana-3463	368	17	swain	swain	PROPN
cana-3463	368	18	,	,	PUNCT
cana-3463	368	19	k.	k.	PROPN
cana-3463	369	1	p.	p.	PROPN
cana-3463	369	2	,	,	PUNCT
cana-3463	369	3	&	&	CCONJ
cana-3463	369	4	palai	palai	PROPN
cana-3463	369	5	,	,	PUNCT
cana-3463	369	6	g.	g.	PROPN
cana-3463	369	7	(	(	PUNCT
cana-3463	369	8	2021	2021	NUM
cana-3463	369	9	)	)	PUNCT
cana-3463	369	10	.	.	PUNCT
cana-3463	370	1	generation	generation	NOUN
cana-3463	370	2	of	of	ADP
cana-3463	370	3	multiple	multiple	ADJ
cana-3463	370	4	signals	signal	NOUN
cana-3463	370	5	using	use	VERB
cana-3463	370	6	a	a	DET
cana-3463	370	7	single	single	ADJ
cana-3463	370	8	photonic	photonic	ADJ
cana-3463	370	9	structure	structure	NOUN
cana-3463	370	10	at	at	ADP
cana-3463	370	11	the	the	DET
cana-3463	370	12	visible	visible	ADJ
cana-3463	370	13	regime	regime	NOUN
cana-3463	370	14	:	:	PUNCT
cana-3463	370	15	a	a	DET
cana-3463	370	16	proposal	proposal	NOUN
cana-3463	370	17	to	to	PART
cana-3463	370	18	realize	realize	VERB
cana-3463	370	19	the	the	DET
cana-3463	370	20	harmonic	harmonic	ADJ
cana-3463	370	21	generation	generation	NOUN
cana-3463	370	22	.	.	PUNCT
cana-3463	371	1	optical	optical	ADJ
cana-3463	371	2	and	and	CCONJ
cana-3463	371	3	quantum	quantum	NOUN
cana-3463	371	4	electronics	electronic	NOUN
cana-3463	371	5	,	,	PUNCT
cana-3463	371	6	53(8	53(8	NUM
cana-3463	371	7	)	)	PUNCT
cana-3463	371	8	,	,	PUNCT
cana-3463	371	9	463	463	NUM
cana-3463	371	10	.	.	PUNCT
cana-3463	372	1	https://doi.org/10.1007/s11082-021-02906-5	https://doi.org/10.1007/s11082-021-02906-5	X
cana-3463	373	1	[	[	X
cana-3463	373	2	7	7	NUM
cana-3463	373	3	]	]	PUNCT
cana-3463	373	4	ghantasala	ghantasala	NOUN
cana-3463	373	5	,	,	PUNCT
cana-3463	373	6	g.	g.	PROPN
cana-3463	373	7	s.	s.	PROPN
cana-3463	373	8	p.	p.	PROPN
cana-3463	373	9	,	,	PUNCT
cana-3463	373	10	hung	hung	PROPN
cana-3463	373	11	,	,	PUNCT
cana-3463	373	12	b.	b.	PROPN
cana-3463	373	13	t.	t.	PROPN
cana-3463	373	14	,	,	PUNCT
cana-3463	373	15	&	&	CCONJ
cana-3463	373	16	chakrabarti	chakrabarti	PROPN
cana-3463	373	17	,	,	PUNCT
cana-3463	373	18	p.	p.	NOUN
cana-3463	373	19	(	(	PUNCT
cana-3463	373	20	2023	2023	NUM
cana-3463	373	21	)	)	PUNCT
cana-3463	373	22	.	.	PUNCT
cana-3463	374	1	an	an	DET
cana-3463	374	2	approach	approach	NOUN
cana-3463	374	3	for	for	ADP
cana-3463	374	4	cervical	cervical	ADJ
cana-3463	374	5	and	and	CCONJ
cana-3463	374	6	breast	breast	NOUN
cana-3463	374	7	cancer	cancer	NOUN
cana-3463	374	8	classification	classification	NOUN
cana-3463	374	9	using	use	VERB
cana-3463	374	10	deep	deep	ADJ
cana-3463	374	11	learning	learning	NOUN
cana-3463	374	12	:	:	PUNCT
cana-3463	374	13	a	a	DET
cana-3463	374	14	comprehensive	comprehensive	ADJ
cana-3463	374	15	survey	survey	NOUN
cana-3463	374	16	.	.	PUNCT
cana-3463	375	1	2023	2023	NUM
cana-3463	375	2	international	international	ADJ
cana-3463	375	3	conference	conference	NOUN
cana-3463	375	4	on	on	ADP
cana-3463	375	5	computer	computer	NOUN
cana-3463	375	6	communication	communication	NOUN
cana-3463	375	7	and	and	CCONJ
cana-3463	375	8	informatics	informatic	NOUN
cana-3463	375	9	(	(	PUNCT
cana-3463	375	10	iccci	iccci	NOUN
cana-3463	375	11	)	)	PUNCT
cana-3463	375	12	,	,	PUNCT
cana-3463	375	13	coimbatore	coimbatore	PROPN
cana-3463	375	14	,	,	PUNCT
cana-3463	375	15	india	india	PROPN
cana-3463	375	16	,	,	PUNCT
cana-3463	375	17	1–6	1–6	NUM
cana-3463	375	18	.	.	PUNCT
cana-3463	375	19	https://doi.org/10.1109/iccci56745.2023.10128454	https://doi.org/10.1109/iccci56745.2023.10128454	PROPN
cana-3463	376	1	[	[	X
cana-3463	376	2	8	8	NUM
cana-3463	376	3	]	]	X
cana-3463	376	4	mehta	mehta	PROPN
cana-3463	376	5	,	,	PUNCT
cana-3463	376	6	s.	s.	PROPN
cana-3463	376	7	,	,	PUNCT
cana-3463	376	8	rawat	rawat	PROPN
cana-3463	376	9	,	,	PUNCT
cana-3463	376	10	p.	p.	PROPN
cana-3463	376	11	,	,	PUNCT
cana-3463	376	12	bajaj	bajaj	PROPN
cana-3463	376	13	,	,	PUNCT
cana-3463	376	14	m.	m.	NOUN
cana-3463	376	15	,	,	PUNCT
cana-3463	376	16	vats	vat	NOUN
cana-3463	376	17	,	,	PUNCT
cana-3463	376	18	s.	s.	PROPN
cana-3463	376	19	,	,	PUNCT
cana-3463	376	20	sharma	sharma	PROPN
cana-3463	376	21	,	,	PUNCT
cana-3463	376	22	v.	v.	PROPN
cana-3463	376	23	,	,	PUNCT
cana-3463	376	24	&	&	CCONJ
cana-3463	376	25	kukreja	kukreja	PROPN
cana-3463	376	26	,	,	PUNCT
cana-3463	376	27	v.	v.	PROPN
cana-3463	376	28	(	(	PUNCT
cana-3463	376	29	2023	2023	NUM
cana-3463	376	30	)	)	PUNCT
cana-3463	376	31	.	.	PUNCT
cana-3463	377	1	predicting	predict	VERB
cana-3463	377	2	breast	breast	NOUN
cana-3463	377	3	cancer	cancer	NOUN
cana-3463	377	4	:	:	PUNCT
cana-3463	377	5	an	an	DET
cana-3463	377	6	evaluation	evaluation	NOUN
cana-3463	377	7	of	of	ADP
cana-3463	377	8	machine	machine	NOUN
cana-3463	377	9	learning	learning	NOUN
cana-3463	377	10	approaches	approach	NOUN
cana-3463	377	11	.	.	PUNCT
cana-3463	378	1	2023	2023	NUM
cana-3463	378	2	3rd	3rd	ADJ
cana-3463	378	3	international	international	ADJ
cana-3463	378	4	conference	conference	NOUN
cana-3463	378	5	on	on	ADP
cana-3463	378	6	intelligent	intelligent	ADJ
cana-3463	378	7	technologies	technology	NOUN
cana-3463	378	8	(	(	PUNCT
cana-3463	378	9	conit	conit	NOUN
cana-3463	378	10	)	)	PUNCT
cana-3463	378	11	,	,	PUNCT
cana-3463	378	12	hubli	hubli	PROPN
cana-3463	378	13	,	,	PUNCT
cana-3463	378	14	india	india	PROPN
cana-3463	378	15	,	,	PUNCT
cana-3463	378	16	1–8	1–8	NOUN
cana-3463	378	17	.	.	PUNCT
cana-3463	378	18	https://doi.org/10.1109/conit59222.2023.10205711	https://doi.org/10.1109/conit59222.2023.10205711	PROPN
cana-3463	378	19	[	[	X
cana-3463	378	20	9	9	NUM
cana-3463	378	21	]	]	PUNCT
cana-3463	378	22	s.	s.	PROPN
cana-3463	378	23	g.	g.	PROPN
cana-3463	378	24	,	,	PUNCT
cana-3463	378	25	&	&	CCONJ
cana-3463	378	26	r.	r.	PROPN
cana-3463	378	27	g.	g.	PROPN
cana-3463	378	28	(	(	PUNCT
cana-3463	378	29	2023	2023	NUM
cana-3463	378	30	)	)	PUNCT
cana-3463	378	31	.	.	PUNCT
cana-3463	379	1	a	a	DET
cana-3463	379	2	novel	novel	ADJ
cana-3463	379	3	and	and	CCONJ
cana-3463	379	4	robust	robust	ADJ
cana-3463	379	5	breast	breast	NOUN
cana-3463	379	6	cancer	cancer	NOUN
cana-3463	379	7	classification	classification	NOUN
cana-3463	379	8	based	base	VERB
cana-3463	379	9	on	on	ADP
cana-3463	379	10	histopathological	histopathological	ADJ
cana-3463	379	11	images	image	NOUN
cana-3463	379	12	using	use	VERB
cana-3463	379	13	naive	naive	ADJ
cana-3463	379	14	bayes	bayes	NOUN
cana-3463	379	15	classifier	classifier	NOUN
cana-3463	379	16	.	.	PUNCT
cana-3463	380	1	2023	2023	NUM
cana-3463	380	2	international	international	ADJ
cana-3463	380	3	conference	conference	NOUN
cana-3463	380	4	on	on	ADP
cana-3463	380	5	artificial	artificial	ADJ
cana-3463	380	6	intelligence	intelligence	NOUN
cana-3463	380	7	and	and	CCONJ
cana-3463	380	8	knowledge	knowledge	NOUN
cana-3463	380	9	discovery	discovery	NOUN
cana-3463	380	10	in	in	ADP
cana-3463	380	11	concurrent	concurrent	ADJ
cana-3463	380	12	engineering	engineering	NOUN
cana-3463	380	13	(	(	PUNCT
cana-3463	380	14	iceconf	iceconf	PROPN
cana-3463	380	15	)	)	PUNCT
cana-3463	380	16	,	,	PUNCT
cana-3463	380	17	chennai	chennai	PROPN
cana-3463	380	18	,	,	PUNCT
cana-3463	380	19	india	india	PROPN
cana-3463	380	20	,	,	PUNCT
cana-3463	380	21	1–8	1–8	NOUN
cana-3463	380	22	.	.	PUNCT
cana-3463	380	23	https://doi.org/10.1109/iceconf57129.2023.10083855	https://doi.org/10.1109/iceconf57129.2023.10083855	PROPN
cana-3463	381	1	[	[	X
cana-3463	381	2	10	10	NUM
cana-3463	381	3	]	]	X
cana-3463	381	4	s.	s.	PROPN
cana-3463	381	5	g.	g.	PROPN
cana-3463	381	6	,	,	PUNCT
cana-3463	381	7	&	&	CCONJ
cana-3463	381	8	ramkumar	ramkumar	PROPN
cana-3463	381	9	,	,	PUNCT
cana-3463	381	10	g.	g.	PROPN
cana-3463	381	11	(	(	PUNCT
cana-3463	381	12	2023	2023	NUM
cana-3463	381	13	)	)	PUNCT
cana-3463	381	14	.	.	PUNCT
cana-3463	382	1	an	an	DET
cana-3463	382	2	efficient	efficient	ADJ
cana-3463	382	3	machine	machine	NOUN
cana-3463	382	4	learning	learning	NOUN
cana-3463	382	5	model	model	NOUN
cana-3463	382	6	for	for	ADP
cana-3463	382	7	breast	breast	NOUN
cana-3463	382	8	cancer	cancer	NOUN
cana-3463	382	9	categorization	categorization	NOUN
cana-3463	382	10	using	use	VERB
cana-3463	382	11	logistic	logistic	ADJ
cana-3463	382	12	regression	regression	NOUN
cana-3463	382	13	on	on	ADP
cana-3463	382	14	histopathological	histopathological	ADJ
cana-3463	382	15	images	image	NOUN
cana-3463	382	16	.	.	PUNCT
cana-3463	383	1	2023	2023	NUM
cana-3463	383	2	eighth	eighth	ADJ
cana-3463	383	3	international	international	ADJ
cana-3463	383	4	conference	conference	NOUN
cana-3463	383	5	on	on	ADP
cana-3463	383	6	science	science	NOUN
cana-3463	383	7	technology	technology	NOUN
cana-3463	383	8	engineering	engineering	NOUN
cana-3463	383	9	and	and	CCONJ
cana-3463	383	10	mathematics	mathematics	PROPN
cana-3463	383	11	(	(	PUNCT
cana-3463	383	12	iconstem	iconstem	NOUN
cana-3463	383	13	)	)	PUNCT
cana-3463	383	14	,	,	PUNCT
cana-3463	383	15	chennai	chennai	PROPN
cana-3463	383	16	,	,	PUNCT
cana-3463	383	17	india	india	PROPN
cana-3463	383	18	,	,	PUNCT
cana-3463	383	19	1–7	1–7	NUM
cana-3463	383	20	.	.	PUNCT
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cana-3463	384	1	[	[	X
cana-3463	384	2	11	11	NUM
cana-3463	384	3	]	]	X
cana-3463	384	4	b.	b.	PROPN
cana-3463	384	5	s.	s.	PROPN
cana-3463	384	6	,	,	PUNCT
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cana-3463	384	8	a.	a.	PROPN
cana-3463	384	9	m.	m.	PROPN
cana-3463	384	10	j.	j.	PROPN
cana-3463	384	11	,	,	PUNCT
cana-3463	384	12	p.	p.	PROPN
cana-3463	384	13	b.	b.	PROPN
cana-3463	385	1	n.	n.	PROPN
cana-3463	385	2	,	,	PUNCT
cana-3463	385	3	s.	s.	PROPN
cana-3463	385	4	f.	f.	PROPN
cana-3463	385	5	p.	p.	PROPN
cana-3463	385	6	,	,	PUNCT
cana-3463	385	7	&	&	CCONJ
cana-3463	385	8	k.	k.	PROPN
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cana-3463	385	10	(	(	PUNCT
cana-3463	385	11	2023	2023	NUM
cana-3463	385	12	)	)	PUNCT
cana-3463	385	13	.	.	PUNCT
cana-3463	386	1	breast	breast	NOUN
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cana-3463	386	4	and	and	CCONJ
cana-3463	386	5	recurrence	recurrence	NOUN
cana-3463	386	6	prediction	prediction	NOUN
cana-3463	386	7	using	use	VERB
cana-3463	386	8	artificial	artificial	ADJ
cana-3463	386	9	neural	neural	ADJ
cana-3463	386	10	networks	network	NOUN
cana-3463	386	11	and	and	CCONJ
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cana-3463	386	13	learning	learn	VERB
cana-3463	386	14	techniques	technique	NOUN
cana-3463	386	15	.	.	PUNCT
cana-3463	387	1	2023	2023	NUM
cana-3463	387	2	second	second	ADJ
cana-3463	387	3	international	international	ADJ
cana-3463	387	4	conference	conference	NOUN
cana-3463	387	5	on	on	ADP
cana-3463	387	6	electrical	electrical	ADJ
cana-3463	387	7	,	,	PUNCT
cana-3463	387	8	electronics	electronic	NOUN
cana-3463	387	9	,	,	PUNCT
cana-3463	387	10	information	information	NOUN
cana-3463	387	11	and	and	CCONJ
cana-3463	387	12	communication	communication	NOUN
cana-3463	387	13	technologies	technology	NOUN
cana-3463	387	14	(	(	PUNCT
cana-3463	387	15	iceeict	iceeict	PROPN
cana-3463	387	16	)	)	PUNCT
cana-3463	387	17	,	,	PUNCT
cana-3463	387	18	trichirappalli	trichirappalli	PROPN
cana-3463	387	19	,	,	PUNCT
cana-3463	387	20	india	india	PROPN
cana-3463	387	21	,	,	PUNCT
cana-3463	387	22	1–4	1–4	PROPN
cana-3463	387	23	.	.	PUNCT
cana-3463	388	1	https://doi.org/10.1109/iceeict56924.2023.10157890	https://doi.org/10.1109/iceeict56924.2023.10157890	NOUN
cana-3463	389	1	[	[	X
cana-3463	389	2	12	12	NUM
cana-3463	389	3	]	]	X
cana-3463	389	4	kaiserea	kaiserea	PROPN
cana-3463	389	5	,	,	PUNCT
cana-3463	389	6	d.	d.	PROPN
cana-3463	389	7	,	,	PUNCT
cana-3463	389	8	kiruthiga	kiruthiga	PROPN
cana-3463	389	9	,	,	PUNCT
cana-3463	389	10	b.	b.	PROPN
cana-3463	389	11	,	,	PUNCT
cana-3463	389	12	&	&	CCONJ
cana-3463	389	13	banu	banu	PROPN
cana-3463	389	14	,	,	PUNCT
cana-3463	389	15	r.	r.	PROPN
cana-3463	389	16	n.	n.	PROPN
cana-3463	389	17	(	(	PUNCT
cana-3463	389	18	2023	2023	NUM
cana-3463	389	19	)	)	PUNCT
cana-3463	389	20	.	.	PUNCT
cana-3463	390	1	implementation	implementation	NOUN
cana-3463	390	2	and	and	CCONJ
cana-3463	390	3	classification	classification	NOUN
cana-3463	390	4	of	of	ADP
cana-3463	390	5	breast	breast	NOUN
cana-3463	390	6	cancer	cancer	NOUN
cana-3463	390	7	histopathological	histopathological	ADJ
cana-3463	390	8	image	image	NOUN
cana-3463	390	9	processing	processing	NOUN
cana-3463	390	10	using	use	VERB
cana-3463	390	11	support	support	NOUN
cana-3463	390	12	vector	vector	NOUN
cana-3463	390	13	machine	machine	NOUN
cana-3463	390	14	.	.	PUNCT
cana-3463	391	1	2023	2023	NUM
cana-3463	391	2	international	international	ADJ
cana-3463	391	3	conference	conference	NOUN
cana-3463	391	4	on	on	ADP
cana-3463	391	5	computer	computer	NOUN
cana-3463	391	6	communication	communication	NOUN
cana-3463	391	7	and	and	CCONJ
cana-3463	391	8	informatics	informatic	NOUN
cana-3463	391	9	(	(	PUNCT
cana-3463	391	10	iccci	iccci	NOUN
cana-3463	391	11	)	)	PUNCT
cana-3463	391	12	,	,	PUNCT
cana-3463	391	13	coimbatore	coimbatore	PROPN
cana-3463	391	14	,	,	PUNCT
cana-3463	391	15	india	india	PROPN
cana-3463	391	16	,	,	PUNCT
cana-3463	391	17	1–7	1–7	NUM
cana-3463	391	18	.	.	NOUN
cana-3463	391	19	https://doi.org/10.1109/iccci56745.2023.10128205	https://doi.org/10.1109/iccci56745.2023.10128205	PROPN
cana-3463	392	1	[	[	X
cana-3463	392	2	13	13	NUM
cana-3463	392	3	]	]	X
cana-3463	392	4	manjunathan	manjunathan	PROPN
cana-3463	392	5	,	,	PUNCT
cana-3463	392	6	n.	n.	NOUN
cana-3463	392	7	,	,	PUNCT
cana-3463	392	8	gomathi	gomathi	PROPN
cana-3463	392	9	,	,	PUNCT
cana-3463	392	10	n.	n.	NOUN
cana-3463	392	11	,	,	PUNCT
cana-3463	392	12	&	&	CCONJ
cana-3463	392	13	muthulingam	muthulingam	PROPN
cana-3463	392	14	,	,	PUNCT
cana-3463	392	15	s.	s.	PROPN
cana-3463	392	16	(	(	PUNCT
cana-3463	392	17	2023	2023	NUM
cana-3463	392	18	)	)	PUNCT
cana-3463	392	19	.	.	PUNCT
cana-3463	393	1	early	early	ADJ
cana-3463	393	2	detection	detection	NOUN
cana-3463	393	3	of	of	ADP
cana-3463	393	4	breast	breast	NOUN
cana-3463	393	5	cancer	cancer	NOUN
cana-3463	393	6	using	use	VERB
cana-3463	393	7	machine	machine	NOUN
cana-3463	393	8	learning	learning	NOUN
cana-3463	393	9	.	.	PUNCT
cana-3463	394	1	2023	2023	NUM
cana-3463	394	2	international	international	ADJ
cana-3463	394	3	conference	conference	NOUN
cana-3463	394	4	on	on	ADP
cana-3463	394	5	sustainable	sustainable	ADJ
cana-3463	394	6	computing	computing	NOUN
cana-3463	394	7	and	and	CCONJ
cana-3463	394	8	smart	smart	ADJ
cana-3463	394	9	systems	system	NOUN
cana-3463	394	10	(	(	PUNCT
cana-3463	394	11	icscss	icscss	ADJ
cana-3463	394	12	)	)	PUNCT
cana-3463	394	13	,	,	PUNCT
cana-3463	394	14	coimbatore	coimbatore	PROPN
cana-3463	394	15	,	,	PUNCT
cana-3463	394	16	india	india	PROPN
cana-3463	394	17	,	,	PUNCT
cana-3463	394	18	165	165	NUM
cana-3463	394	19	–	–	SYM
cana-3463	394	20	169	169	NUM
cana-3463	394	21	.	.	PUNCT
cana-3463	395	1	https://doi.org/10.1109/icscss57650.2023.10169777	https://doi.org/10.1109/icscss57650.2023.10169777	PROPN
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cana-3463	396	2	14	14	NUM
cana-3463	396	3	]	]	X
cana-3463	396	4	ali	ali	PROPN
cana-3463	396	5	,	,	PUNCT
cana-3463	396	6	s.	s.	PROPN
cana-3463	396	7	k.	k.	PROPN
cana-3463	396	8	,	,	PUNCT
cana-3463	396	9	abdalnour	abdalnour	PROPN
cana-3463	396	10	,	,	PUNCT
cana-3463	396	11	y.	y.	PROPN
cana-3463	396	12	m.	m.	PROPN
cana-3463	396	13	a.	a.	PROPN
cana-3463	396	14	,	,	PUNCT
cana-3463	396	15	eltarhouni	eltarhouni	PROPN
cana-3463	396	16	,	,	PUNCT
cana-3463	396	17	w.	w.	PROPN
cana-3463	396	18	i.	i.	PROPN
cana-3463	396	19	,	,	PUNCT
cana-3463	396	20	&	&	CCONJ
cana-3463	396	21	bozed	boze	VERB
cana-3463	396	22	,	,	PUNCT
cana-3463	396	23	k.	k.	PROPN
cana-3463	396	24	a.	a.	PROPN
cana-3463	396	25	(	(	PUNCT
cana-3463	396	26	2023	2023	NUM
cana-3463	396	27	)	)	PUNCT
cana-3463	396	28	.	.	PUNCT
cana-3463	397	1	a	a	DET
cana-3463	397	2	hybrid	hybrid	ADJ
cana-3463	397	3	learning	learning	NOUN
cana-3463	397	4	model	model	NOUN
cana-3463	397	5	for	for	ADP
cana-3463	397	6	breast	breast	NOUN
cana-3463	397	7	cancer	cancer	NOUN
cana-3463	397	8	diagnosis	diagnosis	NOUN
cana-3463	397	9	.	.	PUNCT
cana-3463	398	1	2023	2023	NUM
cana-3463	398	2	ieee	ieee	NOUN
cana-3463	398	3	3rd	3rd	PROPN
cana-3463	398	4	international	international	PROPN
cana-3463	398	5	maghreb	maghreb	PROPN
cana-3463	398	6	meeting	meeting	NOUN
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cana-3463	398	8	the	the	DET
cana-3463	398	9	conference	conference	NOUN
cana-3463	398	10	on	on	ADP
cana-3463	398	11	sciences	science	NOUN
cana-3463	398	12	and	and	CCONJ
cana-3463	398	13	techniques	technique	NOUN
cana-3463	398	14	of	of	ADP
cana-3463	398	15	automatic	automatic	ADJ
cana-3463	398	16	control	control	NOUN
cana-3463	398	17	and	and	CCONJ
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cana-3463	398	19	engineering	engineering	NOUN
cana-3463	398	20	(	(	PUNCT
cana-3463	398	21	mi	mi	NOUN
cana-3463	398	22	-	-	NOUN
cana-3463	398	23	sta	sta	NOUN
cana-3463	398	24	)	)	PUNCT
cana-3463	398	25	,	,	PUNCT
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cana-3463	398	27	,	,	PUNCT
cana-3463	398	28	libya	libya	PROPN
cana-3463	398	29	,	,	PUNCT
cana-3463	398	30	124–129	124–129	NUM
cana-3463	398	31	.	.	PUNCT
cana-3463	399	1	https://doi.org/10.1109/mista57575.2023.10169297	https://doi.org/10.1109/mista57575.2023.10169297	PROPN
cana-3463	399	2	communications	communication	NOUN
cana-3463	399	3	on	on	ADP
cana-3463	399	4	applied	apply	VERB
cana-3463	399	5	nonlinear	nonlinear	ADJ
cana-3463	399	6	analysis	analysis	NOUN
cana-3463	399	7	issn	issn	NOUN
cana-3463	399	8	:	:	PUNCT
cana-3463	399	9	1074	1074	NUM
cana-3463	399	10	-	-	PUNCT
cana-3463	399	11	133x	133x	NUM
cana-3463	399	12	vol	vol	NOUN
cana-3463	399	13	32	32	NUM
cana-3463	399	14	no	no	NOUN
cana-3463	399	15	.	.	PUNCT
cana-3463	400	1	7s	7	NOUN
cana-3463	400	2	(	(	PUNCT
cana-3463	400	3	2025	2025	NUM
cana-3463	400	4	)	)	PUNCT
cana-3463	400	5	560	560	NUM
cana-3463	400	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3463	401	1	[	[	X
cana-3463	401	2	15	15	NUM
cana-3463	401	3	]	]	X
cana-3463	401	4	gopalan	gopalan	NOUN
cana-3463	401	5	,	,	PUNCT
cana-3463	401	6	a.	a.	NOUN
cana-3463	401	7	,	,	PUNCT
cana-3463	401	8	vignesh	vignesh	ADJ
cana-3463	401	9	,	,	PUNCT
cana-3463	401	10	o.	o.	INTJ
cana-3463	401	11	,	,	PUNCT
cana-3463	401	12	anusuya	anusuya	PROPN
cana-3463	401	13	,	,	PUNCT
cana-3463	401	14	r.	r.	PROPN
cana-3463	401	15	,	,	PUNCT
cana-3463	401	16	senthilkumar	senthilkumar	PROPN
cana-3463	401	17	,	,	PUNCT
cana-3463	401	18	k.	k.	PROPN
cana-3463	401	19	p.	p.	PROPN
cana-3463	401	20	,	,	PUNCT
cana-3463	401	21	nishok	nishok	NOUN
cana-3463	401	22	,	,	PUNCT
cana-3463	401	23	v.	v.	PROPN
cana-3463	401	24	s.	s.	PROPN
cana-3463	401	25	,	,	PUNCT
cana-3463	401	26	helan	helan	PROPN
cana-3463	401	27	vidhya	vidhya	PROPN
cana-3463	401	28	,	,	PUNCT
cana-3463	401	29	t.	t.	PROPN
cana-3463	401	30	,	,	PUNCT
cana-3463	401	31	&	&	CCONJ
cana-3463	401	32	wilfred	wilfred	PROPN
cana-3463	401	33	,	,	PUNCT
cana-3463	401	34	f.	f.	PROPN
cana-3463	401	35	(	(	PUNCT
cana-3463	401	36	2023	2023	NUM
cana-3463	401	37	)	)	PUNCT
cana-3463	401	38	.	.	PUNCT
cana-3463	402	1	reconstructing	reconstruct	VERB
cana-3463	402	2	the	the	DET
cana-3463	402	3	photoacoustic	photoacoustic	ADJ
cana-3463	402	4	image	image	NOUN
cana-3463	402	5	with	with	ADP
cana-3463	402	6	high	high	ADJ
cana-3463	402	7	quality	quality	NOUN
cana-3463	402	8	using	use	VERB
cana-3463	402	9	the	the	DET
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cana-3463	402	11	neural	neural	ADJ
cana-3463	402	12	network	network	NOUN
cana-3463	402	13	model	model	NOUN
cana-3463	402	14	.	.	PUNCT
cana-3463	403	1	contrast	contrast	NOUN
cana-3463	403	2	media	medium	NOUN
cana-3463	403	3	&	&	CCONJ
cana-3463	403	4	molecular	molecular	ADJ
cana-3463	403	5	imaging	imaging	NOUN
cana-3463	403	6	,	,	PUNCT
cana-3463	403	7	2023(1	2023(1	PROPN
cana-3463	403	8	)	)	PUNCT
cana-3463	403	9	,	,	PUNCT
cana-3463	403	10	1172473	1172473	NUM
cana-3463	403	11	.	.	PUNCT
cana-3463	404	1	https://doi.org/10.1155/2023/1172473	https://doi.org/10.1155/2023/1172473	VERB
cana-3463	404	2	[	[	X
cana-3463	404	3	16	16	NUM
cana-3463	404	4	]	]	X
cana-3463	404	5	merlin	merlin	PROPN
cana-3463	404	6	,	,	PUNCT
cana-3463	404	7	n.	n.	PROPN
cana-3463	404	8	g.	g.	PROPN
cana-3463	404	9	,	,	PUNCT
cana-3463	404	10	sangeetha	sangeetha	PROPN
cana-3463	404	11	,	,	PUNCT
cana-3463	404	12	s.	s.	PROPN
cana-3463	404	13	,	,	PUNCT
cana-3463	404	14	&	&	CCONJ
cana-3463	404	15	anitha	anitha	PROPN
cana-3463	404	16	,	,	PUNCT
cana-3463	404	17	g.	g.	PROPN
cana-3463	404	18	(	(	PUNCT
cana-3463	404	19	2023	2023	NUM
cana-3463	404	20	,	,	PUNCT
cana-3463	404	21	october	october	PROPN
cana-3463	404	22	)	)	PUNCT
cana-3463	404	23	.	.	PUNCT
cana-3463	405	1	an	an	DET
cana-3463	405	2	experimental	experimental	ADJ
cana-3463	405	3	analysis	analysis	NOUN
cana-3463	405	4	based	base	VERB
cana-3463	405	5	on	on	ADP
cana-3463	405	6	automated	automate	VERB
cana-3463	405	7	detection	detection	NOUN
cana-3463	405	8	of	of	ADP
cana-3463	405	9	polycystic	polycystic	ADJ
cana-3463	405	10	ovary	ovary	ADJ
cana-3463	405	11	syndrome	syndrome	NOUN
cana-3463	405	12	on	on	ADP
cana-3463	405	13	ultrasound	ultrasound	ADJ
cana-3463	405	14	images	image	NOUN
cana-3463	405	15	using	use	VERB
cana-3463	405	16	deep	deep	ADJ
cana-3463	405	17	learning	learning	NOUN
cana-3463	405	18	models	model	NOUN
cana-3463	405	19	.	.	PUNCT
cana-3463	406	1	2023	2023	NUM
cana-3463	406	2	first	first	ADJ
cana-3463	406	3	international	international	ADJ
cana-3463	406	4	conference	conference	NOUN
cana-3463	406	5	on	on	ADP
cana-3463	406	6	advances	advance	NOUN
cana-3463	406	7	in	in	ADP
cana-3463	406	8	electrical	electrical	ADJ
cana-3463	406	9	,	,	PUNCT
cana-3463	406	10	electronics	electronic	NOUN
cana-3463	406	11	and	and	CCONJ
cana-3463	406	12	computational	computational	ADJ
cana-3463	406	13	intelligence	intelligence	NOUN
cana-3463	406	14	(	(	PUNCT
cana-3463	406	15	icaeeci	icaeeci	NOUN
cana-3463	406	16	)	)	PUNCT
cana-3463	406	17	,	,	PUNCT
cana-3463	406	18	1–7	1–7	X
cana-3463	406	19	.	.	PUNCT
cana-3463	406	20	https://doi.org/10.1109/icaeeci.2023.10172539	https://doi.org/10.1109/icaeeci.2023.10172539	PROPN
cana-3463	407	1	[	[	X
cana-3463	407	2	17	17	NUM
cana-3463	407	3	]	]	PUNCT
cana-3463	407	4	babu	babu	PROPN
cana-3463	407	5	,	,	PUNCT
cana-3463	407	6	m.	m.	PROPN
cana-3463	407	7	p.	p.	PROPN
cana-3463	407	8	,	,	PUNCT
cana-3463	407	9	&	&	CCONJ
cana-3463	407	10	anitha	anitha	PROPN
cana-3463	407	11	,	,	PUNCT
cana-3463	407	12	g.	g.	PROPN
cana-3463	407	13	(	(	PUNCT
cana-3463	407	14	2023	2023	NUM
cana-3463	407	15	,	,	PUNCT
cana-3463	407	16	may	may	AUX
cana-3463	407	17	)	)	PUNCT
cana-3463	407	18	.	.	PUNCT
cana-3463	408	1	ocr	ocr	PROPN
cana-3463	408	2	-	-	PUNCT
cana-3463	408	3	based	base	VERB
cana-3463	408	4	image	image	NOUN
cana-3463	408	5	text	text	NOUN
cana-3463	408	6	-	-	PUNCT
cana-3463	408	7	to	to	ADP
cana-3463	408	8	-	-	PUNCT
cana-3463	408	9	speech	speech	NOUN
cana-3463	408	10	conversion	conversion	NOUN
cana-3463	408	11	using	use	VERB
cana-3463	408	12	k	k	PROPN
cana-3463	408	13	-	-	PUNCT
cana-3463	408	14	nearest	near	ADJ
cana-3463	408	15	neighbors	neighbor	NOUN
cana-3463	408	16	and	and	CCONJ
cana-3463	408	17	comparing	compare	VERB
cana-3463	408	18	with	with	ADP
cana-3463	408	19	fuzzy	fuzzy	ADJ
cana-3463	408	20	k	k	ADJ
cana-3463	408	21	-	-	PUNCT
cana-3463	408	22	means	mean	VERB
cana-3463	408	23	clustering	clustering	ADJ
cana-3463	408	24	algorithm	algorithm	NOUN
cana-3463	408	25	.	.	PUNCT
cana-3463	409	1	2023	2023	NUM
cana-3463	409	2	international	international	ADJ
cana-3463	409	3	conference	conference	NOUN
cana-3463	409	4	on	on	ADP
cana-3463	409	5	advances	advance	NOUN
cana-3463	409	6	in	in	ADP
cana-3463	409	7	computing	computing	NOUN
cana-3463	409	8	,	,	PUNCT
cana-3463	409	9	communication	communication	NOUN
cana-3463	409	10	and	and	CCONJ
cana-3463	409	11	applied	apply	VERB
cana-3463	409	12	informatics	informatic	NOUN
cana-3463	409	13	(	(	PUNCT
cana-3463	409	14	accai	accai	PROPN
cana-3463	409	15	)	)	PUNCT
cana-3463	409	16	,	,	PUNCT
cana-3463	409	17	1–5	1–5	X
cana-3463	409	18	.	.	PUNCT
cana-3463	410	1	https://doi.org/10.1109/accai.2023.10201945	https://doi.org/10.1109/accai.2023.10201945	PROPN
cana-3463	410	2	[	[	X
cana-3463	410	3	18	18	NUM
cana-3463	410	4	]	]	X
cana-3463	410	5	chen	chen	PROPN
cana-3463	410	6	,	,	PUNCT
cana-3463	410	7	x.	x.	PROPN
cana-3463	410	8	,	,	PUNCT
cana-3463	410	9	et	et	PROPN
cana-3463	410	10	al	al	PROPN
cana-3463	410	11	.	.	PUNCT
cana-3463	411	1	(	(	PUNCT
cana-3463	411	2	2018	2018	NUM
cana-3463	411	3	)	)	PUNCT
cana-3463	411	4	.	.	PUNCT
cana-3463	412	1	identification	identification	NOUN
cana-3463	412	2	of	of	ADP
cana-3463	412	3	differentially	differentially	ADV
cana-3463	412	4	expressed	express	VERB
cana-3463	412	5	genes	gene	NOUN
cana-3463	412	6	in	in	ADP
cana-3463	412	7	breast	breast	NOUN
cana-3463	412	8	cancer	cancer	NOUN
cana-3463	412	9	using	use	VERB
cana-3463	412	10	kullback	kullback	NOUN
cana-3463	412	11	-	-	PUNCT
cana-3463	412	12	leibler	leibler	NOUN
cana-3463	412	13	divergence	divergence	NOUN
cana-3463	412	14	.	.	PUNCT
cana-3463	413	1	cancer	cancer	NOUN
cana-3463	413	2	research	research	NOUN
cana-3463	413	3	,	,	PUNCT
cana-3463	413	4	78(11	78(11	NUM
cana-3463	413	5	)	)	PUNCT
cana-3463	413	6	,	,	PUNCT
cana-3463	413	7	2531–2541	2531–2541	NUM
cana-3463	413	8	.	.	PUNCT
cana-3463	414	1	[	[	X
cana-3463	414	2	19	19	NUM
cana-3463	414	3	]	]	SYM
cana-3463	414	4	li	li	PROPN
cana-3463	414	5	,	,	PUNCT
cana-3463	414	6	m.	m.	NOUN
cana-3463	414	7	,	,	PUNCT
cana-3463	414	8	et	et	PROPN
cana-3463	414	9	al	al	PROPN
cana-3463	414	10	.	.	PROPN
cana-3463	414	11	(	(	PUNCT
cana-3463	414	12	2019	2019	NUM
cana-3463	414	13	)	)	PUNCT
cana-3463	414	14	.	.	PUNCT
cana-3463	415	1	mutational	mutational	ADJ
cana-3463	415	2	analysis	analysis	NOUN
cana-3463	415	3	of	of	ADP
cana-3463	415	4	breast	breast	NOUN
cana-3463	415	5	cancer	cancer	NOUN
cana-3463	415	6	using	use	VERB
cana-3463	415	7	kullback	kullback	NOUN
cana-3463	415	8	-	-	PUNCT
cana-3463	415	9	leibler	leibler	NOUN
cana-3463	415	10	divergence	divergence	NOUN
cana-3463	415	11	.	.	PUNCT
cana-3463	416	1	plos	plos	PROPN
cana-3463	416	2	one	one	NUM
cana-3463	416	3	,	,	PUNCT
cana-3463	416	4	14(3	14(3	NUM
cana-3463	416	5	)	)	PUNCT
cana-3463	416	6	,	,	PUNCT
cana-3463	416	7	e0214401	e0214401	NOUN
cana-3463	416	8	.	.	PUNCT
cana-3463	417	1	https://doi.org/10.1371/journal.pone.0214401	https://doi.org/10.1371/journal.pone.0214401	NOUN
cana-3463	417	2	[	[	X
cana-3463	417	3	20	20	NUM
cana-3463	417	4	]	]	X
cana-3463	417	5	wang	wang	PROPN
cana-3463	417	6	,	,	PUNCT
cana-3463	417	7	x.	x.	PROPN
cana-3463	417	8	,	,	PUNCT
cana-3463	417	9	et	et	PROPN
cana-3463	417	10	al	al	PROPN
cana-3463	417	11	.	.	PROPN
cana-3463	417	12	(	(	PUNCT
cana-3463	417	13	2020	2020	NUM
cana-3463	417	14	)	)	PUNCT
cana-3463	417	15	.	.	PUNCT
cana-3463	418	1	identification	identification	NOUN
cana-3463	418	2	of	of	ADP
cana-3463	418	3	genes	gene	NOUN
cana-3463	418	4	associated	associate	VERB
cana-3463	418	5	with	with	ADP
cana-3463	418	6	chemotherapy	chemotherapy	NOUN
cana-3463	418	7	resistance	resistance	NOUN
cana-3463	418	8	in	in	ADP
cana-3463	418	9	breast	breast	NOUN
cana-3463	418	10	cancer	cancer	NOUN
cana-3463	418	11	using	use	VERB
cana-3463	418	12	kullback	kullback	NOUN
cana-3463	418	13	-	-	PUNCT
cana-3463	418	14	leibler	leibler	NOUN
cana-3463	418	15	divergence	divergence	NOUN
cana-3463	418	16	.	.	PUNCT
cana-3463	419	1	breast	breast	NOUN
cana-3463	419	2	cancer	cancer	NOUN
cana-3463	419	3	research	research	NOUN
cana-3463	419	4	,	,	PUNCT
cana-3463	419	5	22(1	22(1	NUM
cana-3463	419	6	)	)	PUNCT
cana-3463	419	7	,	,	PUNCT
cana-3463	419	8	1–11	1–11	PROPN
cana-3463	419	9	.	.	PUNCT
cana-3463	420	1	[	[	X
cana-3463	420	2	21	21	NUM
cana-3463	420	3	]	]	X
cana-3463	420	4	das	das	PROPN
cana-3463	420	5	,	,	PUNCT
cana-3463	420	6	b.	b.	PROPN
cana-3463	420	7	,	,	PUNCT
cana-3463	420	8	&	&	CCONJ
cana-3463	420	9	toraman	toraman	NOUN
cana-3463	420	10	,	,	PUNCT
cana-3463	420	11	s.	s.	PROPN
cana-3463	420	12	(	(	PUNCT
cana-3463	420	13	2022	2022	NUM
cana-3463	420	14	)	)	PUNCT
cana-3463	420	15	.	.	PUNCT
cana-3463	421	1	deep	deep	ADJ
cana-3463	421	2	transfer	transfer	NOUN
cana-3463	421	3	learning	learn	VERB
cana-3463	421	4	for	for	ADP
cana-3463	421	5	automated	automate	VERB
cana-3463	421	6	liver	liver	NOUN
cana-3463	421	7	cancer	cancer	NOUN
cana-3463	421	8	gene	gene	NOUN
cana-3463	421	9	recognition	recognition	NOUN
cana-3463	421	10	using	use	VERB
cana-3463	421	11	spectrogram	spectrogram	NOUN
cana-3463	421	12	images	image	NOUN
cana-3463	421	13	of	of	ADP
cana-3463	421	14	digitized	digitize	VERB
cana-3463	421	15	dna	dna	PROPN
cana-3463	421	16	sequences	sequence	NOUN
cana-3463	421	17	.	.	PUNCT
cana-3463	422	1	biomedical	biomedical	ADJ
cana-3463	422	2	signal	signal	NOUN
cana-3463	422	3	processing	processing	NOUN
cana-3463	422	4	and	and	CCONJ
cana-3463	422	5	control	control	NOUN
cana-3463	422	6	,	,	PUNCT
cana-3463	422	7	72	72	NUM
cana-3463	422	8	,	,	PUNCT
cana-3463	422	9	103317	103317	NUM
cana-3463	422	10	.	.	PUNCT
cana-3463	423	1	https://doi.org/10.1016/j.bspc.2021.103317	https://doi.org/10.1016/j.bspc.2021.103317	NOUN
cana-3463	423	2	[	[	X
cana-3463	423	3	22	22	NUM
cana-3463	423	4	]	]	PUNCT
cana-3463	423	5	yu	yu	PROPN
cana-3463	423	6	,	,	PUNCT
cana-3463	423	7	n.	n.	PROPN
cana-3463	423	8	,	,	PUNCT
cana-3463	423	9	li	li	PROPN
cana-3463	423	10	,	,	PUNCT
cana-3463	423	11	z.	z.	PROPN
cana-3463	423	12	,	,	PUNCT
cana-3463	423	13	&	&	CCONJ
cana-3463	423	14	yu	yu	PROPN
cana-3463	423	15	,	,	PUNCT
cana-3463	423	16	z.	z.	PROPN
cana-3463	423	17	(	(	PUNCT
cana-3463	423	18	2018	2018	NUM
cana-3463	423	19	)	)	PUNCT
cana-3463	423	20	.	.	PUNCT
cana-3463	424	1	survey	survey	NOUN
cana-3463	424	2	on	on	ADP
cana-3463	424	3	encoding	encode	VERB
cana-3463	424	4	schemes	scheme	NOUN
cana-3463	424	5	for	for	ADP
cana-3463	424	6	genomic	genomic	ADJ
cana-3463	424	7	data	datum	NOUN
cana-3463	424	8	representation	representation	NOUN
cana-3463	424	9	and	and	CCONJ
cana-3463	424	10	feature	feature	NOUN
cana-3463	424	11	learning	learning	NOUN
cana-3463	424	12	—	—	PUNCT
cana-3463	424	13	from	from	ADP
cana-3463	424	14	signal	signal	ADJ
cana-3463	424	15	processing	processing	NOUN
cana-3463	424	16	to	to	ADP
cana-3463	424	17	machine	machine	NOUN
cana-3463	424	18	learning	learning	NOUN
cana-3463	424	19	.	.	PUNCT
cana-3463	425	1	big	big	ADJ
cana-3463	425	2	data	data	PROPN
cana-3463	425	3	mining	mining	NOUN
cana-3463	425	4	and	and	CCONJ
cana-3463	425	5	analytics	analytic	NOUN
cana-3463	425	6	,	,	PUNCT
cana-3463	425	7	1(3	1(3	NUM
cana-3463	425	8	)	)	PUNCT
cana-3463	425	9	,	,	PUNCT
cana-3463	425	10	191–210	191–210	NUM
cana-3463	425	11	.	.	PUNCT
cana-3463	426	1	https://doi.org/10.26599/bdma.2018.9020018	https://doi.org/10.26599/bdma.2018.9020018	PROPN
cana-3463	427	1	[	[	X
cana-3463	427	2	23	23	NUM
cana-3463	427	3	]	]	X
cana-3463	427	4	guo	guo	PROPN
cana-3463	427	5	,	,	PUNCT
cana-3463	427	6	x.	x.	PROPN
cana-3463	427	7	,	,	PUNCT
cana-3463	427	8	et	et	PROPN
cana-3463	427	9	al	al	PROPN
cana-3463	427	10	.	.	PROPN
cana-3463	427	11	(	(	PUNCT
cana-3463	427	12	2020	2020	NUM
cana-3463	427	13	)	)	PUNCT
cana-3463	427	14	.	.	PUNCT
cana-3463	428	1	deepcnv	deepcnv	NOUN
cana-3463	428	2	:	:	PUNCT
cana-3463	428	3	a	a	DET
cana-3463	428	4	deep	deep	ADJ
cana-3463	428	5	learning	learning	NOUN
cana-3463	428	6	framework	framework	NOUN
cana-3463	428	7	for	for	ADP
cana-3463	428	8	identifying	identify	VERB
cana-3463	428	9	copy	copy	NOUN
cana-3463	428	10	number	number	NOUN
cana-3463	428	11	variations	variation	NOUN
cana-3463	428	12	from	from	ADP
cana-3463	428	13	sequencing	sequence	VERB
cana-3463	428	14	data	datum	NOUN
cana-3463	428	15	.	.	PUNCT
cana-3463	429	1	[	[	X
cana-3463	429	2	24	24	NUM
cana-3463	429	3	]	]	SYM
cana-3463	429	4	li	li	PROPN
cana-3463	429	5	,	,	PUNCT
cana-3463	429	6	x.	x.	PROPN
cana-3463	429	7	,	,	PUNCT
cana-3463	429	8	et	et	PROPN
cana-3463	429	9	al	al	PROPN
cana-3463	429	10	.	.	PROPN
cana-3463	429	11	(	(	PUNCT
cana-3463	429	12	2021	2021	NUM
cana-3463	429	13	)	)	PUNCT
cana-3463	429	14	.	.	PUNCT
cana-3463	430	1	predicting	predict	VERB
cana-3463	430	2	breast	breast	NOUN
cana-3463	430	3	cancer	cancer	NOUN
cana-3463	430	4	molecular	molecular	ADJ
cana-3463	430	5	subtypes	subtype	NOUN
cana-3463	430	6	:	:	PUNCT
cana-3463	430	7	an	an	DET
cana-3463	430	8	integrative	integrative	ADJ
cana-3463	430	9	deep	deep	ADJ
cana-3463	430	10	learning	learning	NOUN
cana-3463	430	11	approach	approach	NOUN
cana-3463	430	12	.	.	PUNCT
cana-3463	431	1	[	[	X
cana-3463	431	2	25	25	NUM
cana-3463	431	3	]	]	PUNCT
cana-3463	431	4	the	the	DET
cana-3463	431	5	cancer	cancer	NOUN
cana-3463	431	6	genome	genome	NOUN
cana-3463	431	7	atlas	atlas	PROPN
cana-3463	431	8	network	network	PROPN
cana-3463	431	9	.	.	PUNCT
cana-3463	432	1	(	(	PUNCT
cana-3463	432	2	2012	2012	NUM
cana-3463	432	3	)	)	PUNCT
cana-3463	432	4	.	.	PUNCT
cana-3463	433	1	dna	dna	PROPN
cana-3463	433	2	sequencing	sequencing	NOUN
cana-3463	433	3	-	-	PUNCT
cana-3463	433	4	based	base	VERB
cana-3463	433	5	analysis	analysis	NOUN
cana-3463	433	6	of	of	ADP
cana-3463	433	7	the	the	DET
cana-3463	433	8	human	human	ADJ
cana-3463	433	9	breast	breast	NOUN
cana-3463	433	10	cancer	cancer	NOUN
cana-3463	433	11	genome	genome	NOUN
cana-3463	433	12	.	.	PUNCT
cana-3463	434	1	[	[	X
cana-3463	434	2	26	26	NUM
cana-3463	434	3	]	]	X
cana-3463	434	4	wu	wu	PROPN
cana-3463	434	5	,	,	PUNCT
cana-3463	434	6	y.	y.	PROPN
cana-3463	434	7	,	,	PUNCT
cana-3463	434	8	et	et	PROPN
cana-3463	434	9	al	al	PROPN
cana-3463	434	10	.	.	PROPN
cana-3463	434	11	(	(	PUNCT
cana-3463	434	12	2019	2019	NUM
cana-3463	434	13	)	)	PUNCT
cana-3463	434	14	.	.	PUNCT
cana-3463	435	1	deepdrm	deepdrm	NOUN
cana-3463	435	2	:	:	PUNCT
cana-3463	435	3	a	a	DET
cana-3463	435	4	deep	deep	ADJ
cana-3463	435	5	learning	learning	NOUN
cana-3463	435	6	framework	framework	NOUN
cana-3463	435	7	for	for	ADP
cana-3463	435	8	predicting	predict	VERB
cana-3463	435	9	dna	dna	PROPN
cana-3463	435	10	methylation	methylation	NOUN
cana-3463	435	11	and	and	CCONJ
cana-3463	435	12	identifying	identify	VERB
cana-3463	435	13	differentially	differentially	ADV
cana-3463	435	14	methylated	methylate	VERB
cana-3463	435	15	regions	region	NOUN
cana-3463	435	16	.	.	PUNCT
cana-3463	436	1	[	[	X
cana-3463	436	2	27	27	NUM
cana-3463	436	3	]	]	X
cana-3463	436	4	curtis	curtis	PROPN
cana-3463	436	5	,	,	PUNCT
cana-3463	436	6	c.	c.	PROPN
cana-3463	436	7	,	,	PUNCT
cana-3463	436	8	et	et	PROPN
cana-3463	436	9	al	al	PROPN
cana-3463	436	10	.	.	PUNCT
cana-3463	436	11	(	(	PUNCT
cana-3463	436	12	2012	2012	NUM
cana-3463	436	13	)	)	PUNCT
cana-3463	436	14	.	.	PUNCT
cana-3463	437	1	predicting	predict	VERB
cana-3463	437	2	gene	gene	NOUN
cana-3463	437	3	expression	expression	NOUN
cana-3463	437	4	in	in	ADP
cana-3463	437	5	breast	breast	NOUN
cana-3463	437	6	cancer	cancer	NOUN
cana-3463	437	7	from	from	ADP
cana-3463	437	8	dna	dna	PROPN
cana-3463	437	9	copy	copy	NOUN
cana-3463	437	10	number	number	NOUN
cana-3463	437	11	.	.	PUNCT
cana-3463	438	1	[	[	X
cana-3463	438	2	28	28	NUM
cana-3463	438	3	]	]	X
cana-3463	438	4	chen	chen	PROPN
cana-3463	438	5	,	,	PUNCT
cana-3463	438	6	q.	q.	PROPN
cana-3463	438	7	,	,	PUNCT
cana-3463	438	8	et	et	PROPN
cana-3463	438	9	al	al	PROPN
cana-3463	438	10	.	.	PROPN
cana-3463	438	11	(	(	PUNCT
cana-3463	438	12	2020	2020	NUM
cana-3463	438	13	)	)	PUNCT
cana-3463	438	14	.	.	PUNCT
cana-3463	439	1	breast	breast	NOUN
cana-3463	439	2	cancer	cancer	NOUN
cana-3463	439	3	classification	classification	NOUN
cana-3463	439	4	using	use	VERB
cana-3463	439	5	deep	deep	ADJ
cana-3463	439	6	learning	learning	NOUN
cana-3463	439	7	and	and	CCONJ
cana-3463	439	8	dna	dna	PROPN
cana-3463	439	9	methylation	methylation	NOUN
cana-3463	439	10	sequencing	sequence	VERB
cana-3463	439	11	data	datum	NOUN
cana-3463	439	12	.	.	PUNCT
cana-3463	440	1	[	[	X
cana-3463	440	2	29	29	NUM
cana-3463	440	3	]	]	X
cana-3463	440	4	srilakshmi	srilakshmi	PROPN
cana-3463	440	5	,	,	PUNCT
cana-3463	440	6	k.	k.	PROPN
cana-3463	440	7	,	,	PUNCT
cana-3463	440	8	et	et	PROPN
cana-3463	440	9	al	al	PROPN
cana-3463	440	10	.	.	PROPN
cana-3463	440	11	(	(	PUNCT
cana-3463	440	12	2022	2022	NUM
cana-3463	440	13	)	)	PUNCT
cana-3463	440	14	.	.	PUNCT
cana-3463	441	1	advanced	advanced	ADJ
cana-3463	441	2	electricity	electricity	NOUN
cana-3463	441	3	billing	billing	NOUN
cana-3463	441	4	system	system	NOUN
cana-3463	441	5	using	use	VERB
cana-3463	441	6	arduino	arduino	NOUN
cana-3463	441	7	uno	uno	PROPN
cana-3463	441	8	.	.	PUNCT
cana-3463	442	1	international	international	PROPN
cana-3463	442	2	journal	journal	PROPN
cana-3463	442	3	of	of	ADP
cana-3463	442	4	communication	communication	NOUN
cana-3463	442	5	and	and	CCONJ
cana-3463	442	6	computer	computer	NOUN
cana-3463	442	7	technologies	technology	NOUN
cana-3463	442	8	,	,	PUNCT
cana-3463	442	9	10(1	10(1	NUM
cana-3463	442	10	)	)	PUNCT
cana-3463	442	11	,	,	PUNCT
cana-3463	442	12	1–3	1–3	NOUN
cana-3463	442	13	.	.	PUNCT
cana-3463	443	1	[	[	X
cana-3463	443	2	30	30	NUM
cana-3463	443	3	]	]	X
cana-3463	443	4	wang	wang	PROPN
cana-3463	443	5	,	,	PUNCT
cana-3463	443	6	l.	l.	PROPN
cana-3463	443	7	,	,	PUNCT
cana-3463	443	8	et	et	PROPN
cana-3463	443	9	al	al	PROPN
cana-3463	443	10	.	.	PUNCT
cana-3463	443	11	(	(	PUNCT
cana-3463	443	12	2017	2017	NUM
cana-3463	443	13	)	)	PUNCT
cana-3463	443	14	.	.	PUNCT
cana-3463	444	1	identification	identification	NOUN
cana-3463	444	2	of	of	ADP
cana-3463	444	3	genetic	genetic	ADJ
cana-3463	444	4	mutations	mutation	NOUN
cana-3463	444	5	in	in	ADP
cana-3463	444	6	cancer	cancer	NOUN
cana-3463	444	7	:	:	PUNCT
cana-3463	444	8	challenge	challenge	NOUN
cana-3463	444	9	and	and	CCONJ
cana-3463	444	10	opportunity	opportunity	NOUN
cana-3463	444	11	in	in	ADP
cana-3463	444	12	the	the	DET
cana-3463	444	13	genomic	genomic	ADJ
cana-3463	444	14	era	era	NOUN
cana-3463	444	15	.	.	PUNCT
cana-3463	445	1	[	[	X
cana-3463	445	2	31	31	NUM
cana-3463	445	3	]	]	X
cana-3463	445	4	ching	ching	PROPN
cana-3463	445	5	,	,	PUNCT
cana-3463	445	6	t.	t.	PROPN
cana-3463	445	7	,	,	PUNCT
cana-3463	445	8	et	et	PROPN
cana-3463	445	9	al	al	PROPN
cana-3463	445	10	.	.	PUNCT
cana-3463	445	11	(	(	PUNCT
cana-3463	445	12	2018	2018	NUM
cana-3463	445	13	)	)	PUNCT
cana-3463	445	14	.	.	PUNCT
cana-3463	446	1	machine	machine	NOUN
cana-3463	446	2	learning	learn	VERB
cana-3463	446	3	for	for	ADP
cana-3463	446	4	integrating	integrate	VERB
cana-3463	446	5	data	datum	NOUN
cana-3463	446	6	in	in	ADP
cana-3463	446	7	biology	biology	NOUN
cana-3463	446	8	and	and	CCONJ
cana-3463	446	9	medicine	medicine	NOUN
cana-3463	446	10	:	:	PUNCT
cana-3463	446	11	principles	principle	NOUN
cana-3463	446	12	,	,	PUNCT
cana-3463	446	13	practice	practice	NOUN
cana-3463	446	14	,	,	PUNCT
cana-3463	446	15	and	and	CCONJ
cana-3463	446	16	opportunities	opportunity	NOUN
cana-3463	446	17	.	.	PUNCT
cana-3463	447	1	[	[	X
cana-3463	447	2	32	32	NUM
cana-3463	447	3	]	]	SYM
cana-3463	447	4	muralidharan	muralidharan	NOUN
cana-3463	447	5	,	,	PUNCT
cana-3463	447	6	j.	j.	PROPN
cana-3463	447	7	(	(	PUNCT
cana-3463	447	8	2024	2024	NUM
cana-3463	447	9	)	)	PUNCT
cana-3463	447	10	.	.	PUNCT
cana-3463	448	1	innovative	innovative	ADJ
cana-3463	448	2	materials	material	NOUN
cana-3463	448	3	for	for	ADP
cana-3463	448	4	sustainable	sustainable	ADJ
cana-3463	448	5	construction	construction	NOUN
cana-3463	448	6	:	:	PUNCT
cana-3463	448	7	a	a	DET
cana-3463	448	8	review	review	NOUN
cana-3463	448	9	of	of	ADP
cana-3463	448	10	current	current	ADJ
cana-3463	448	11	research	research	NOUN
cana-3463	448	12	.	.	PUNCT
cana-3463	449	1	innovative	innovative	ADJ
cana-3463	449	2	reviews	review	NOUN
cana-3463	449	3	in	in	ADP
cana-3463	449	4	engineering	engineering	NOUN
cana-3463	449	5	and	and	CCONJ
cana-3463	449	6	science	science	NOUN
cana-3463	449	7	,	,	PUNCT
cana-3463	449	8	1(1	1(1	NUM
cana-3463	449	9	)	)	PUNCT
cana-3463	449	10	,	,	PUNCT
cana-3463	449	11	16–20	16–20	NUM
cana-3463	449	12	.	.	PUNCT
cana-3463	450	1	[	[	X
cana-3463	450	2	33	33	NUM
cana-3463	450	3	]	]	PUNCT
cana-3463	450	4	alanazi	alanazi	NOUN
cana-3463	450	5	,	,	PUNCT
cana-3463	450	6	a.	a.	NOUN
cana-3463	450	7	m.	m.	NOUN
cana-3463	450	8	,	,	PUNCT
cana-3463	450	9	muhiuddin	muhiuddin	PROPN
cana-3463	450	10	,	,	PUNCT
cana-3463	450	11	g.	g.	PROPN
cana-3463	450	12	,	,	PUNCT
cana-3463	450	13	al	al	PROPN
cana-3463	450	14	-	-	PUNCT
cana-3463	450	15	balawi	balawi	PROPN
cana-3463	450	16	,	,	PUNCT
cana-3463	450	17	d.	d.	PROPN
cana-3463	450	18	a.	a.	PROPN
cana-3463	450	19	,	,	PUNCT
cana-3463	450	20	&	&	CCONJ
cana-3463	450	21	samanta	samanta	PROPN
cana-3463	450	22	,	,	PUNCT
cana-3463	450	23	s.	s.	PROPN
cana-3463	450	24	(	(	PUNCT
cana-3463	450	25	2022	2022	NUM
cana-3463	450	26	)	)	PUNCT
cana-3463	450	27	.	.	PUNCT
cana-3463	451	1	different	different	ADJ
cana-3463	451	2	dna	dna	NOUN
cana-3463	451	3	sequencing	sequence	VERB
cana-3463	451	4	using	use	VERB
cana-3463	451	5	dna	dna	NOUN
cana-3463	451	6	graphs	graph	NOUN
cana-3463	451	7	:	:	PUNCT
cana-3463	451	8	a	a	DET
cana-3463	451	9	study	study	NOUN
cana-3463	451	10	.	.	PUNCT
cana-3463	452	1	applied	apply	VERB
cana-3463	452	2	sciences	science	NOUN
cana-3463	452	3	,	,	PUNCT
cana-3463	452	4	12(5414	12(5414	NUM
cana-3463	452	5	)	)	PUNCT
cana-3463	452	6	,	,	PUNCT
cana-3463	452	7	1–10	1–10	NOUN
cana-3463	452	8	.	.	PUNCT
cana-3463	453	1	https://doi.org/10.3390/app12115414	https://doi.org/10.3390/app12115414	PROPN
cana-3463	453	2	https://doi.org/10.1016/j.bspc.2021.103317	https://doi.org/10.1016/j.bspc.2021.103317	NOUN
cana-3463	453	3	https://doi.org/10.3390/app12115414	https://doi.org/10.3390/app12115414	PRON