id	sid	tid	token	lemma	pos
cuesj-1338	1	1	tx_1	tx_1	PROPN
cuesj-1338	1	2	~	~	X
cuesj-1338	1	3	abs	ab	NOUN
cuesj-1338	1	4	:	:	PUNCT
cuesj-1338	1	5	at	at	ADP
cuesj-1338	1	6	/	/	SYM
cuesj-1338	1	7	add	add	VERB
cuesj-1338	1	8	:	:	PUNCT
cuesj-1338	1	9	tx_2	tx_2	PROPN
cuesj-1338	1	10	~	~	NOUN
cuesj-1338	1	11	abs	ab	NOUN
cuesj-1338	1	12	:	:	PUNCT
cuesj-1338	1	13	at	at	ADP
cuesj-1338	1	14	14	14	NUM
cuesj-1338	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	1	16	cuesj	cuesj	NOUN
cuesj-1338	1	17	2025	2025	NUM
cuesj-1338	1	18	,	,	PUNCT
cuesj-1338	1	19	9	9	NUM
cuesj-1338	1	20	(	(	PUNCT
cuesj-1338	1	21	1	1	NUM
cuesj-1338	1	22	):	):	PUNCT
cuesj-1338	1	23	14	14	NUM
cuesj-1338	1	24	-	-	SYM
cuesj-1338	1	25	23	23	NUM
cuesj-1338	1	26	research	research	NOUN
cuesj-1338	1	27	article	article	NOUN
cuesj-1338	1	28	an	an	DET
cuesj-1338	1	29	elastic	elastic	ADJ
cuesj-1338	1	30	net	net	ADJ
cuesj-1338	1	31	approach	approach	NOUN
cuesj-1338	1	32	to	to	ADP
cuesj-1338	1	33	logistic	logistic	ADJ
cuesj-1338	1	34	regression	regression	NOUN
cuesj-1338	1	35	for	for	ADP
cuesj-1338	1	36	genetic	genetic	ADJ
cuesj-1338	1	37	selection	selection	NOUN
cuesj-1338	1	38	in	in	ADP
cuesj-1338	1	39	high	high	ADJ
cuesj-1338	1	40	-	-	PUNCT
cuesj-1338	1	41	dimensional	dimensional	ADJ
cuesj-1338	1	42	brain	brain	NOUN
cuesj-1338	1	43	cancer	cancer	NOUN
cuesj-1338	1	44	data	data	PROPN
cuesj-1338	1	45	nozad	nozad	PROPN
cuesj-1338	1	46	h.	h.	PROPN
cuesj-1338	1	47	mahmood1	mahmood1	PROPN
cuesj-1338	1	48	,	,	PUNCT
cuesj-1338	1	49	dler	dler	NOUN
cuesj-1338	1	50	h.	h.	PROPN
cuesj-1338	1	51	kadir1	kadir1	PROPN
cuesj-1338	2	1	1department	1department	NUM
cuesj-1338	2	2	of	of	ADP
cuesj-1338	2	3	statistics	statistic	NOUN
cuesj-1338	2	4	and	and	CCONJ
cuesj-1338	2	5	information	information	NOUN
cuesj-1338	2	6	,	,	PUNCT
cuesj-1338	2	7	college	college	NOUN
cuesj-1338	2	8	of	of	ADP
cuesj-1338	2	9	administration	administration	NOUN
cuesj-1338	2	10	and	and	CCONJ
cuesj-1338	2	11	economics	economic	NOUN
cuesj-1338	2	12	,	,	PUNCT
cuesj-1338	2	13	salahaddin	salahaddin	VERB
cuesj-1338	2	14	university	university	NOUN
cuesj-1338	2	15	-	-	PUNCT
cuesj-1338	2	16	erbil	erbil	PROPN
cuesj-1338	2	17	,	,	PUNCT
cuesj-1338	2	18	erbil	erbil	PROPN
cuesj-1338	2	19	,	,	PUNCT
cuesj-1338	2	20	iraq	iraq	PROPN
cuesj-1338	2	21	,	,	PUNCT
cuesj-1338	2	22	abstract	abstract	ADJ
cuesj-1338	2	23	the	the	DET
cuesj-1338	2	24	study	study	NOUN
cuesj-1338	2	25	explores	explore	VERB
cuesj-1338	2	26	issues	issue	NOUN
cuesj-1338	2	27	related	relate	VERB
cuesj-1338	2	28	to	to	ADP
cuesj-1338	2	29	the	the	DET
cuesj-1338	2	30	treatment	treatment	NOUN
cuesj-1338	2	31	of	of	ADP
cuesj-1338	2	32	brain	brain	NOUN
cuesj-1338	2	33	cancer	cancer	NOUN
cuesj-1338	2	34	caused	cause	VERB
cuesj-1338	2	35	by	by	ADP
cuesj-1338	2	36	the	the	DET
cuesj-1338	2	37	heterogeneous	heterogeneous	ADJ
cuesj-1338	2	38	nature	nature	NOUN
cuesj-1338	2	39	of	of	ADP
cuesj-1338	2	40	different	different	ADJ
cuesj-1338	2	41	variants	variant	NOUN
cuesj-1338	2	42	of	of	ADP
cuesj-1338	2	43	brain	brain	NOUN
cuesj-1338	2	44	tumors	tumor	NOUN
cuesj-1338	2	45	.	.	PUNCT
cuesj-1338	3	1	the	the	DET
cuesj-1338	3	2	objective	objective	NOUN
cuesj-1338	3	3	of	of	ADP
cuesj-1338	3	4	this	this	DET
cuesj-1338	3	5	study	study	NOUN
cuesj-1338	3	6	was	be	AUX
cuesj-1338	3	7	to	to	PART
cuesj-1338	3	8	identify	identify	VERB
cuesj-1338	3	9	essential	essential	ADJ
cuesj-1338	3	10	genes	gene	NOUN
cuesj-1338	3	11	present	present	ADJ
cuesj-1338	3	12	in	in	ADP
cuesj-1338	3	13	multiple	multiple	ADJ
cuesj-1338	3	14	types	type	NOUN
cuesj-1338	3	15	of	of	ADP
cuesj-1338	3	16	brain	brain	NOUN
cuesj-1338	3	17	cancer	cancer	NOUN
cuesj-1338	3	18	using	use	VERB
cuesj-1338	3	19	high	high	ADJ
cuesj-1338	3	20	-	-	PUNCT
cuesj-1338	3	21	dimensional	dimensional	ADJ
cuesj-1338	3	22	gene	gene	NOUN
cuesj-1338	3	23	expression	expression	NOUN
cuesj-1338	3	24	data	datum	NOUN
cuesj-1338	3	25	available	available	ADJ
cuesj-1338	3	26	on	on	ADP
cuesj-1338	3	27	the	the	DET
cuesj-1338	3	28	curated	curate	VERB
cuesj-1338	3	29	microarray	microarray	NOUN
cuesj-1338	3	30	database	database	NOUN
cuesj-1338	3	31	.	.	PUNCT
cuesj-1338	4	1	the	the	DET
cuesj-1338	4	2	study	study	NOUN
cuesj-1338	4	3	’s	’s	PART
cuesj-1338	4	4	dataset	dataset	NOUN
cuesj-1338	4	5	comprised	comprise	VERB
cuesj-1338	4	6	a	a	DET
cuesj-1338	4	7	total	total	NOUN
cuesj-1338	4	8	of	of	ADP
cuesj-1338	4	9	130	130	NUM
cuesj-1338	4	10	 	 	SPACE
cuesj-1338	4	11	samples	sample	NOUN
cuesj-1338	4	12	belonging	belong	VERB
cuesj-1338	4	13	to	to	ADP
cuesj-1338	4	14	four	four	NUM
cuesj-1338	4	15	subtypes	subtype	NOUN
cuesj-1338	4	16	of	of	ADP
cuesj-1338	4	17	brain	brain	NOUN
cuesj-1338	4	18	cancer	cancer	NOUN
cuesj-1338	4	19	and	and	CCONJ
cuesj-1338	4	20	16384	16384	NUM
cuesj-1338	4	21	gene	gene	NOUN
cuesj-1338	4	22	expression	expression	NOUN
cuesj-1338	4	23	variables	variable	NOUN
cuesj-1338	4	24	.	.	PUNCT
cuesj-1338	5	1	thus	thus	ADV
cuesj-1338	5	2	,	,	PUNCT
cuesj-1338	5	3	the	the	DET
cuesj-1338	5	4	penalized	penalize	VERB
cuesj-1338	5	5	elastic	elastic	ADJ
cuesj-1338	5	6	net	net	ADJ
cuesj-1338	5	7	method	method	NOUN
cuesj-1338	5	8	,	,	PUNCT
cuesj-1338	5	9	in	in	ADP
cuesj-1338	5	10	conjunction	conjunction	NOUN
cuesj-1338	5	11	with	with	ADP
cuesj-1338	5	12	multinomial	multinomial	ADJ
cuesj-1338	5	13	logistic	logistic	ADJ
cuesj-1338	5	14	regression	regression	NOUN
cuesj-1338	5	15	,	,	PUNCT
cuesj-1338	5	16	was	be	AUX
cuesj-1338	5	17	used	use	VERB
cuesj-1338	5	18	to	to	PART
cuesj-1338	5	19	cope	cope	VERB
cuesj-1338	5	20	with	with	ADP
cuesj-1338	5	21	the	the	DET
cuesj-1338	5	22	curse	curse	NOUN
cuesj-1338	5	23	of	of	ADP
cuesj-1338	5	24	dimensionality	dimensionality	NOUN
cuesj-1338	5	25	problems	problem	NOUN
cuesj-1338	5	26	.	.	PUNCT
cuesj-1338	6	1	then	then	ADV
cuesj-1338	6	2	,	,	PUNCT
cuesj-1338	6	3	accuracy	accuracy	NOUN
cuesj-1338	6	4	,	,	PUNCT
cuesj-1338	6	5	kappa	kappa	PROPN
cuesj-1338	6	6	statistics	statistics	PROPN
cuesj-1338	6	7	,	,	PUNCT
cuesj-1338	6	8	an	an	DET
cuesj-1338	6	9	area	area	NOUN
cuesj-1338	6	10	under	under	ADP
cuesj-1338	6	11	the	the	DET
cuesj-1338	6	12	curve	curve	NOUN
cuesj-1338	6	13	(	(	PUNCT
cuesj-1338	6	14	auc	auc	NOUN
cuesj-1338	6	15	)	)	PUNCT
cuesj-1338	6	16	,	,	PUNCT
cuesj-1338	6	17	and	and	CCONJ
cuesj-1338	6	18	f1	f1	NOUN
cuesj-1338	6	19	-	-	PUNCT
cuesj-1338	6	20	score	score	NOUN
cuesj-1338	6	21	were	be	AUX
cuesj-1338	6	22	utilized	utilize	VERB
cuesj-1338	6	23	to	to	PART
cuesj-1338	6	24	evaluate	evaluate	VERB
cuesj-1338	6	25	measures	measure	NOUN
cuesj-1338	6	26	of	of	ADP
cuesj-1338	6	27	the	the	DET
cuesj-1338	6	28	model	model	NOUN
cuesj-1338	6	29	efficiency	efficiency	NOUN
cuesj-1338	6	30	.	.	PUNCT
cuesj-1338	7	1	elastic	elastic	ADJ
cuesj-1338	7	2	net	net	NOUN
cuesj-1338	7	3	proved	prove	VERB
cuesj-1338	7	4	to	to	PART
cuesj-1338	7	5	be	be	AUX
cuesj-1338	7	6	quite	quite	ADV
cuesj-1338	7	7	effective	effective	ADJ
cuesj-1338	7	8	in	in	ADP
cuesj-1338	7	9	the	the	DET
cuesj-1338	7	10	sense	sense	NOUN
cuesj-1338	7	11	of	of	ADP
cuesj-1338	7	12	the	the	DET
cuesj-1338	7	13	extensiveness	extensiveness	NOUN
cuesj-1338	7	14	of	of	ADP
cuesj-1338	7	15	the	the	DET
cuesj-1338	7	16	variables	variable	NOUN
cuesj-1338	7	17	included	include	VERB
cuesj-1338	7	18	in	in	ADP
cuesj-1338	7	19	the	the	DET
cuesj-1338	7	20	analysis	analysis	NOUN
cuesj-1338	7	21	and	and	CCONJ
cuesj-1338	7	22	successfully	successfully	ADV
cuesj-1338	7	23	restricted	restrict	VERB
cuesj-1338	7	24	gene	gene	NOUN
cuesj-1338	7	25	level	level	NOUN
cuesj-1338	7	26	further	further	ADJ
cuesj-1338	7	27	analysis	analysis	NOUN
cuesj-1338	7	28	as	as	ADV
cuesj-1338	7	29	well	well	ADV
cuesj-1338	7	30	as	as	ADP
cuesj-1338	7	31	highlighted	highlight	VERB
cuesj-1338	7	32	subtype	subtype	NOUN
cuesj-1338	7	33	-	-	PUNCT
cuesj-1338	7	34	specific	specific	ADJ
cuesj-1338	7	35	expression	expression	NOUN
cuesj-1338	7	36	signatures	signature	NOUN
cuesj-1338	7	37	.	.	PUNCT
cuesj-1338	8	1	the	the	DET
cuesj-1338	8	2	model	model	NOUN
cuesj-1338	8	3	achieved	achieve	VERB
cuesj-1338	8	4	high	high	ADJ
cuesj-1338	8	5	precision	precision	NOUN
cuesj-1338	8	6	and	and	CCONJ
cuesj-1338	8	7	auc	auc	NOUN
cuesj-1338	8	8	values	value	NOUN
cuesj-1338	8	9	,	,	PUNCT
cuesj-1338	8	10	indicating	indicate	VERB
cuesj-1338	8	11	that	that	SCONJ
cuesj-1338	8	12	,	,	PUNCT
cuesj-1338	8	13	in	in	ADP
cuesj-1338	8	14	general	general	ADJ
cuesj-1338	8	15	,	,	PUNCT
cuesj-1338	8	16	the	the	DET
cuesj-1338	8	17	model	model	NOUN
cuesj-1338	8	18	had	have	VERB
cuesj-1338	8	19	a	a	DET
cuesj-1338	8	20	good	good	ADJ
cuesj-1338	8	21	ability	ability	NOUN
cuesj-1338	8	22	to	to	PART
cuesj-1338	8	23	distinguish	distinguish	VERB
cuesj-1338	8	24	all	all	DET
cuesj-1338	8	25	subtypes	subtype	NOUN
cuesj-1338	8	26	with	with	ADP
cuesj-1338	8	27	some	some	PRON
cuesj-1338	8	28	around	around	ADP
cuesj-1338	8	29	perfect	perfect	ADJ
cuesj-1338	8	30	scores	score	NOUN
cuesj-1338	8	31	of	of	ADP
cuesj-1338	8	32	auc	auc	NOUN
cuesj-1338	8	33	.	.	PUNCT
cuesj-1338	9	1	robust	robust	ADJ
cuesj-1338	9	2	parameter	parameter	NOUN
cuesj-1338	9	3	estimation	estimation	NOUN
cuesj-1338	9	4	was	be	AUX
cuesj-1338	9	5	supplemented	supplement	VERB
cuesj-1338	9	6	with	with	ADP
cuesj-1338	9	7	cross	cross	ADJ
cuesj-1338	9	8	-	-	ADJ
cuesj-1338	9	9	validation	validation	ADJ
cuesj-1338	9	10	and	and	CCONJ
cuesj-1338	9	11	other	other	ADJ
cuesj-1338	9	12	predictive	predictive	ADJ
cuesj-1338	9	13	model	model	NOUN
cuesj-1338	9	14	validation	validation	NOUN
cuesj-1338	9	15	statistical	statistical	ADJ
cuesj-1338	9	16	techniques	technique	NOUN
cuesj-1338	9	17	done	do	VERB
cuesj-1338	9	18	in	in	ADP
cuesj-1338	9	19	r	r	NOUN
cuesj-1338	9	20	language	language	NOUN
cuesj-1338	9	21	programming	programming	NOUN
cuesj-1338	9	22	.	.	PUNCT
cuesj-1338	10	1	thus	thus	ADV
cuesj-1338	10	2	,	,	PUNCT
cuesj-1338	10	3	these	these	DET
cuesj-1338	10	4	findings	finding	NOUN
cuesj-1338	10	5	suggest	suggest	VERB
cuesj-1338	10	6	that	that	SCONJ
cuesj-1338	10	7	the	the	DET
cuesj-1338	10	8	best	good	ADJ
cuesj-1338	10	9	model	model	NOUN
cuesj-1338	10	10	for	for	ADP
cuesj-1338	10	11	evaluating	evaluate	VERB
cuesj-1338	10	12	large	large	ADJ
cuesj-1338	10	13	-	-	PUNCT
cuesj-1338	10	14	scale	scale	NOUN
cuesj-1338	10	15	gene	gene	NOUN
cuesj-1338	10	16	expression	expression	NOUN
cuesj-1338	10	17	data	datum	NOUN
cuesj-1338	10	18	of	of	ADP
cuesj-1338	10	19	brain	brain	NOUN
cuesj-1338	10	20	cancers	cancer	NOUN
cuesj-1338	10	21	is	be	AUX
cuesj-1338	10	22	the	the	DET
cuesj-1338	10	23	use	use	NOUN
cuesj-1338	10	24	of	of	ADP
cuesj-1338	10	25	multinomial	multinomial	ADJ
cuesj-1338	10	26	logistic	logistic	ADJ
cuesj-1338	10	27	regression	regression	NOUN
cuesj-1338	10	28	(	(	PUNCT
cuesj-1338	10	29	mlr	mlr	NOUN
cuesj-1338	10	30	)	)	PUNCT
cuesj-1338	10	31	with	with	ADP
cuesj-1338	10	32	an	an	DET
cuesj-1338	10	33	elastic	elastic	ADJ
cuesj-1338	10	34	net	net	ADJ
cuesj-1338	10	35	regularization	regularization	NOUN
cuesj-1338	10	36	.	.	PUNCT
cuesj-1338	11	1	there	there	PRON
cuesj-1338	11	2	is	be	VERB
cuesj-1338	11	3	ample	ample	ADJ
cuesj-1338	11	4	evidence	evidence	NOUN
cuesj-1338	11	5	that	that	SCONJ
cuesj-1338	11	6	these	these	DET
cuesj-1338	11	7	selected	select	VERB
cuesj-1338	11	8	genes	gene	NOUN
cuesj-1338	11	9	contribute	contribute	VERB
cuesj-1338	11	10	to	to	ADP
cuesj-1338	11	11	and	and	CCONJ
cuesj-1338	11	12	serve	serve	VERB
cuesj-1338	11	13	as	as	ADP
cuesj-1338	11	14	targets	target	NOUN
cuesj-1338	11	15	for	for	ADP
cuesj-1338	11	16	therapy	therapy	NOUN
cuesj-1338	11	17	,	,	PUNCT
cuesj-1338	11	18	therefore	therefore	ADV
cuesj-1338	11	19	making	make	VERB
cuesj-1338	11	20	this	this	DET
cuesj-1338	11	21	study	study	NOUN
cuesj-1338	11	22	a	a	DET
cuesj-1338	11	23	good	good	ADJ
cuesj-1338	11	24	starting	starting	NOUN
cuesj-1338	11	25	point	point	NOUN
cuesj-1338	11	26	for	for	ADP
cuesj-1338	11	27	further	further	ADJ
cuesj-1338	11	28	investigations	investigation	NOUN
cuesj-1338	11	29	with	with	ADP
cuesj-1338	11	30	respect	respect	NOUN
cuesj-1338	11	31	to	to	ADP
cuesj-1338	11	32	understanding	understand	VERB
cuesj-1338	11	33	their	their	PRON
cuesj-1338	11	34	biological	biological	ADJ
cuesj-1338	11	35	role	role	NOUN
cuesj-1338	11	36	.	.	PUNCT
cuesj-1338	12	1	the	the	DET
cuesj-1338	12	2	corresponding	corresponding	ADJ
cuesj-1338	12	3	model	model	NOUN
cuesj-1338	12	4	is	be	AUX
cuesj-1338	12	5	also	also	ADV
cuesj-1338	12	6	to	to	PART
cuesj-1338	12	7	be	be	AUX
cuesj-1338	12	8	applied	apply	VERB
cuesj-1338	12	9	to	to	PART
cuesj-1338	12	10	test	test	VERB
cuesj-1338	12	11	its	its	PRON
cuesj-1338	12	12	validity	validity	NOUN
cuesj-1338	12	13	on	on	ADP
cuesj-1338	12	14	some	some	DET
cuesj-1338	12	15	other	other	ADJ
cuesj-1338	12	16	datasets	dataset	NOUN
cuesj-1338	12	17	of	of	ADP
cuesj-1338	12	18	a	a	DET
cuesj-1338	12	19	quite	quite	ADV
cuesj-1338	12	20	different	different	ADJ
cuesj-1338	12	21	nature	nature	NOUN
cuesj-1338	12	22	.	.	PUNCT
cuesj-1338	13	1	this	this	PRON
cuesj-1338	13	2	,	,	PUNCT
cuesj-1338	13	3	in	in	ADP
cuesj-1338	13	4	turn	turn	NOUN
cuesj-1338	13	5	,	,	PUNCT
cuesj-1338	13	6	may	may	AUX
cuesj-1338	13	7	suggest	suggest	VERB
cuesj-1338	13	8	improved	improve	VERB
cuesj-1338	13	9	diagnostic	diagnostic	ADJ
cuesj-1338	13	10	,	,	PUNCT
cuesj-1338	13	11	prognostic	prognostic	ADJ
cuesj-1338	13	12	,	,	PUNCT
cuesj-1338	13	13	and	and	CCONJ
cuesj-1338	13	14	therapeutic	therapeutic	ADJ
cuesj-1338	13	15	options	option	NOUN
cuesj-1338	13	16	for	for	ADP
cuesj-1338	13	17	the	the	DET
cuesj-1338	13	18	brain	brain	NOUN
cuesj-1338	13	19	tumor	tumor	NOUN
cuesj-1338	13	20	.	.	PUNCT
cuesj-1338	14	1	keywords	keyword	NOUN
cuesj-1338	14	2	:	:	PUNCT
cuesj-1338	14	3	brian	brian	PROPN
cuesj-1338	14	4	cancer	cancer	NOUN
cuesj-1338	14	5	,	,	PUNCT
cuesj-1338	14	6	elastic	elastic	ADJ
cuesj-1338	14	7	net	net	NOUN
cuesj-1338	14	8	,	,	PUNCT
cuesj-1338	14	9	regularization	regularization	NOUN
cuesj-1338	14	10	techniques	technique	NOUN
cuesj-1338	14	11	,	,	PUNCT
cuesj-1338	14	12	gene	gene	NOUN
cuesj-1338	14	13	selection	selection	NOUN
cuesj-1338	14	14	,	,	PUNCT
cuesj-1338	14	15	multinomial	multinomial	ADJ
cuesj-1338	14	16	logistic	logistic	ADJ
cuesj-1338	14	17	model	model	NOUN
cuesj-1338	14	18	,	,	PUNCT
cuesj-1338	14	19	high	high	ADJ
cuesj-1338	14	20	-	-	PUNCT
cuesj-1338	14	21	dimensional	dimensional	ADJ
cuesj-1338	14	22	data	datum	NOUN
cuesj-1338	14	23	introduction	introduction	NOUN
cuesj-1338	14	24	brain	brain	NOUN
cuesj-1338	14	25	cancer	cancer	NOUN
cuesj-1338	14	26	describes	describe	VERB
cuesj-1338	14	27	a	a	DET
cuesj-1338	14	28	well	well	ADV
cuesj-1338	14	29	heterogeneous	heterogeneous	ADJ
cuesj-1338	14	30	array	array	NOUN
cuesj-1338	14	31	of	of	ADP
cuesj-1338	14	32	malignancies	malignancy	NOUN
cuesj-1338	14	33	that	that	PRON
cuesj-1338	14	34	arise	arise	VERB
cuesj-1338	14	35	within	within	ADP
cuesj-1338	14	36	the	the	DET
cuesj-1338	14	37	brain	brain	NOUN
cuesj-1338	14	38	tissue	tissue	NOUN
cuesj-1338	14	39	and	and	CCONJ
cuesj-1338	14	40	represent	represent	VERB
cuesj-1338	14	41	a	a	DET
cuesj-1338	14	42	considerable	considerable	ADJ
cuesj-1338	14	43	threat	threat	NOUN
cuesj-1338	14	44	to	to	ADP
cuesj-1338	14	45	human	human	ADJ
cuesj-1338	14	46	health	health	NOUN
cuesj-1338	14	47	around	around	ADP
cuesj-1338	14	48	the	the	DET
cuesj-1338	14	49	globe	globe	NOUN
cuesj-1338	14	50	.	.	PUNCT
cuesj-1338	15	1	such	such	ADJ
cuesj-1338	15	2	tumors	tumor	NOUN
cuesj-1338	15	3	have	have	VERB
cuesj-1338	15	4	great	great	ADJ
cuesj-1338	15	5	variability	variability	NOUN
cuesj-1338	15	6	in	in	ADP
cuesj-1338	15	7	pathology	pathology	NOUN
cuesj-1338	15	8	,	,	PUNCT
cuesj-1338	15	9	molecular	molecular	ADJ
cuesj-1338	15	10	structure	structure	NOUN
cuesj-1338	15	11	,	,	PUNCT
cuesj-1338	15	12	and	and	CCONJ
cuesj-1338	15	13	clinical	clinical	ADJ
cuesj-1338	15	14	behavior	behavior	NOUN
cuesj-1338	15	15	,	,	PUNCT
cuesj-1338	15	16	leading	lead	VERB
cuesj-1338	15	17	to	to	ADP
cuesj-1338	15	18	variable	variable	ADJ
cuesj-1338	15	19	prognosis	prognosis	NOUN
cuesj-1338	15	20	and	and	CCONJ
cuesj-1338	15	21	treatment	treatment	NOUN
cuesj-1338	15	22	response	response	NOUN
cuesj-1338	15	23	rates.[1	rates.[1	NOUN
cuesj-1338	15	24	]	]	X
cuesj-1338	15	25	it	it	PRON
cuesj-1338	15	26	is	be	AUX
cuesj-1338	15	27	vital	vital	ADJ
cuesj-1338	15	28	to	to	PART
cuesj-1338	15	29	appreciate	appreciate	VERB
cuesj-1338	15	30	the	the	DET
cuesj-1338	15	31	multifactorial	multifactorial	ADJ
cuesj-1338	15	32	nature	nature	NOUN
cuesj-1338	15	33	of	of	ADP
cuesj-1338	15	34	genetic	genetic	ADJ
cuesj-1338	15	35	and	and	CCONJ
cuesj-1338	15	36	environmental	environmental	ADJ
cuesj-1338	15	37	determinants	determinant	NOUN
cuesj-1338	15	38	of	of	ADP
cuesj-1338	15	39	brain	brain	NOUN
cuesj-1338	15	40	tumor	tumor	NOUN
cuesj-1338	15	41	development	development	NOUN
cuesj-1338	15	42	to	to	PART
cuesj-1338	15	43	achieve	achieve	VERB
cuesj-1338	15	44	advancements	advancement	NOUN
cuesj-1338	15	45	in	in	ADP
cuesj-1338	15	46	cancer	cancer	NOUN
cuesj-1338	15	47	patient	patient	NOUN
cuesj-1338	15	48	outcomes.[2	outcomes.[2	ADV
cuesj-1338	15	49	]	]	PUNCT
cuesj-1338	15	50	recent	recent	ADJ
cuesj-1338	15	51	high	high	ADJ
cuesj-1338	15	52	-	-	PUNCT
cuesj-1338	15	53	throughput	throughput	NOUN
cuesj-1338	15	54	technologies	technology	NOUN
cuesj-1338	15	55	have	have	AUX
cuesj-1338	15	56	made	make	VERB
cuesj-1338	15	57	it	it	PRON
cuesj-1338	15	58	possible	possible	ADJ
cuesj-1338	15	59	to	to	PART
cuesj-1338	15	60	perform	perform	VERB
cuesj-1338	15	61	extensive	extensive	ADJ
cuesj-1338	15	62	profiling	profiling	NOUN
cuesj-1338	15	63	of	of	ADP
cuesj-1338	15	64	gene	gene	NOUN
cuesj-1338	15	65	expression	expression	NOUN
cuesj-1338	15	66	across	across	ADP
cuesj-1338	15	67	brain	brain	NOUN
cuesj-1338	15	68	tumors	tumor	NOUN
cuesj-1338	15	69	and	and	CCONJ
cuesj-1338	15	70	construct	construct	VERB
cuesj-1338	15	71	such	such	ADJ
cuesj-1338	15	72	high	high	ADJ
cuesj-1338	15	73	-	-	PUNCT
cuesj-1338	15	74	dimensional	dimensional	ADJ
cuesj-1338	15	75	datasets	dataset	NOUN
cuesj-1338	15	76	that	that	PRON
cuesj-1338	15	77	consist	consist	VERB
cuesj-1338	15	78	of	of	ADP
cuesj-1338	15	79	thousands	thousand	NOUN
cuesj-1338	15	80	of	of	ADP
cuesj-1338	15	81	genes.[3	genes.[3	NOUN
cuesj-1338	15	82	]	]	PUNCT
cuesj-1338	15	83	however	however	ADV
cuesj-1338	15	84	,	,	PUNCT
cuesj-1338	15	85	the	the	DET
cuesj-1338	15	86	analysis	analysis	NOUN
cuesj-1338	15	87	of	of	ADP
cuesj-1338	15	88	such	such	ADJ
cuesj-1338	15	89	data	datum	NOUN
cuesj-1338	15	90	has	have	VERB
cuesj-1338	15	91	great	great	ADJ
cuesj-1338	15	92	difficulties	difficulty	NOUN
cuesj-1338	15	93	because	because	SCONJ
cuesj-1338	15	94	of	of	ADP
cuesj-1338	15	95	the	the	DET
cuesj-1338	15	96	“	"	PUNCT
cuesj-1338	15	97	curse	curse	NOUN
cuesj-1338	15	98	of	of	ADP
cuesj-1338	15	99	dimensionality	dimensionality	NOUN
cuesj-1338	15	100	”	"	PUNCT
cuesj-1338	15	101	where	where	SCONJ
cuesj-1338	15	102	the	the	DET
cuesj-1338	15	103	maximum	maximum	ADJ
cuesj-1338	15	104	number	number	NOUN
cuesj-1338	15	105	of	of	ADP
cuesj-1338	15	106	genes	gene	NOUN
cuesj-1338	15	107	(	(	PUNCT
cuesj-1338	15	108	variables	variable	NOUN
cuesj-1338	15	109	)	)	PUNCT
cuesj-1338	15	110	greatly	greatly	ADV
cuesj-1338	15	111	outnumbers	outnumber	VERB
cuesj-1338	15	112	the	the	DET
cuesj-1338	15	113	samples.[4	samples.[4	PUNCT
cuesj-1338	15	114	]	]	X
cuesj-1338	15	115	thus	thus	ADV
cuesj-1338	15	116	,	,	PUNCT
cuesj-1338	15	117	such	such	DET
cuesj-1338	15	118	a	a	DET
cuesj-1338	15	119	situation	situation	NOUN
cuesj-1338	15	120	can	can	AUX
cuesj-1338	15	121	result	result	VERB
cuesj-1338	15	122	in	in	ADP
cuesj-1338	15	123	overfitting	overfitte	VERB
cuesj-1338	15	124	phenomena	phenomenon	NOUN
cuesj-1338	15	125	where	where	SCONJ
cuesj-1338	15	126	models	model	NOUN
cuesj-1338	15	127	fit	fit	VERB
cuesj-1338	15	128	to	to	ADP
cuesj-1338	15	129	the	the	DET
cuesj-1338	15	130	noise	noise	NOUN
cuesj-1338	15	131	instead	instead	ADV
cuesj-1338	15	132	of	of	ADP
cuesj-1338	15	133	the	the	DET
cuesj-1338	15	134	signal	signal	NOUN
cuesj-1338	15	135	,	,	PUNCT
cuesj-1338	15	136	making	make	VERB
cuesj-1338	15	137	models	model	NOUN
cuesj-1338	15	138	difficult	difficult	ADJ
cuesj-1338	15	139	to	to	PART
cuesj-1338	15	140	interpret	interpret	VERB
cuesj-1338	15	141	and	and	CCONJ
cuesj-1338	15	142	generalize.[5	generalize.[5	PRON
cuesj-1338	15	143	]	]	X
cuesj-1338	15	144	therefore	therefore	ADV
cuesj-1338	15	145	,	,	PUNCT
cuesj-1338	15	146	effective	effective	ADJ
cuesj-1338	15	147	gene	gene	NOUN
cuesj-1338	15	148	selection	selection	NOUN
cuesj-1338	15	149	approaches	approach	NOUN
cuesj-1338	15	150	are	be	AUX
cuesj-1338	15	151	essential	essential	ADJ
cuesj-1338	15	152	for	for	ADP
cuesj-1338	15	153	the	the	DET
cuesj-1338	15	154	analysis	analysis	NOUN
cuesj-1338	15	155	of	of	ADP
cuesj-1338	15	156	high	high	ADJ
cuesj-1338	15	157	-	-	PUNCT
cuesj-1338	15	158	dimensional	dimensional	ADJ
cuesj-1338	15	159	genetic	genetic	ADJ
cuesj-1338	15	160	data	datum	NOUN
cuesj-1338	15	161	and	and	CCONJ
cuesj-1338	15	162	pinpointing	pinpoint	VERB
cuesj-1338	15	163	the	the	DET
cuesj-1338	15	164	strongest	strong	ADJ
cuesj-1338	15	165	target	target	NOUN
cuesj-1338	15	166	spaces	space	NOUN
cuesj-1338	15	167	responsible	responsible	ADJ
cuesj-1338	15	168	for	for	ADP
cuesj-1338	15	169	the	the	DET
cuesj-1338	15	170	different	different	ADJ
cuesj-1338	15	171	subtypes	subtype	NOUN
cuesj-1338	15	172	of	of	ADP
cuesj-1338	15	173	brain	brain	NOUN
cuesj-1338	15	174	cancers	cancer	NOUN
cuesj-1338	15	175	.	.	PUNCT
cuesj-1338	16	1	multinomial	multinomial	ADJ
cuesj-1338	16	2	logistic	logistic	ADJ
cuesj-1338	16	3	regression	regression	NOUN
cuesj-1338	16	4	is	be	AUX
cuesj-1338	16	5	used	use	VERB
cuesj-1338	16	6	for	for	ADP
cuesj-1338	16	7	modeling	model	VERB
cuesj-1338	16	8	outcome	outcome	NOUN
cuesj-1338	16	9	variables	variable	NOUN
cuesj-1338	16	10	that	that	PRON
cuesj-1338	16	11	involve	involve	VERB
cuesj-1338	16	12	a	a	DET
cuesj-1338	16	13	finite	finite	ADJ
cuesj-1338	16	14	number	number	NOUN
cuesj-1338	16	15	of	of	ADP
cuesj-1338	16	16	categories.[6	categories.[6	NOUN
cuesj-1338	16	17	]	]	PUNCT
cuesj-1338	17	1	it	it	PRON
cuesj-1338	17	2	is	be	AUX
cuesj-1338	17	3	a	a	DET
cuesj-1338	17	4	generalization	generalization	NOUN
cuesj-1338	17	5	of	of	ADP
cuesj-1338	17	6	the	the	DET
cuesj-1338	17	7	binary	binary	PROPN
cuesj-1338	17	8	logistic	logistic	ADJ
cuesj-1338	17	9	regression	regression	NOUN
cuesj-1338	17	10	for	for	ADP
cuesj-1338	17	11	problems	problem	NOUN
cuesj-1338	17	12	that	that	PRON
cuesj-1338	17	13	involve	involve	VERB
cuesj-1338	17	14	more	more	ADJ
cuesj-1338	17	15	than	than	ADP
cuesj-1338	17	16	two	two	NUM
cuesj-1338	17	17	classes	class	NOUN
cuesj-1338	17	18	,	,	PUNCT
cuesj-1338	17	19	making	make	VERB
cuesj-1338	17	20	it	it	PRON
cuesj-1338	17	21	appropriate	appropriate	ADJ
cuesj-1338	17	22	for	for	ADP
cuesj-1338	17	23	the	the	DET
cuesj-1338	17	24	analysis	analysis	NOUN
cuesj-1338	17	25	of	of	ADP
cuesj-1338	17	26	data	datum	NOUN
cuesj-1338	17	27	on	on	ADP
cuesj-1338	17	28	brain	brain	NOUN
cuesj-1338	17	29	cancer.[7	cancer.[7	NOUN
cuesj-1338	17	30	]	]	PUNCT
cuesj-1338	17	31	mlr	mlr	NOUN
cuesj-1338	17	32	models	model	VERB
cuesj-1338	17	33	the	the	DET
cuesj-1338	17	34	relationship	relationship	NOUN
cuesj-1338	17	35	of	of	ADP
cuesj-1338	17	36	a	a	DET
cuesj-1338	17	37	set	set	NOUN
cuesj-1338	17	38	of	of	ADP
cuesj-1338	17	39	independent	independent	ADJ
cuesj-1338	17	40	variables	variable	NOUN
cuesj-1338	17	41	(	(	PUNCT
cuesj-1338	17	42	gene	gene	NOUN
cuesj-1338	17	43	expression	expression	NOUN
cuesj-1338	17	44	corresponding	corresponding	ADJ
cuesj-1338	17	45	author	author	NOUN
cuesj-1338	17	46	:	:	PUNCT
cuesj-1338	17	47	nozad	nozad	PROPN
cuesj-1338	17	48	h.	h.	PROPN
cuesj-1338	17	49	mahmood	mahmood	PROPN
cuesj-1338	17	50	,	,	PUNCT
cuesj-1338	17	51	department	department	NOUN
cuesj-1338	17	52	of	of	ADP
cuesj-1338	17	53	statistics	statistic	NOUN
cuesj-1338	17	54	and	and	CCONJ
cuesj-1338	17	55	information	information	NOUN
cuesj-1338	17	56	,	,	PUNCT
cuesj-1338	17	57	college	college	NOUN
cuesj-1338	17	58	of	of	ADP
cuesj-1338	17	59	administration	administration	NOUN
cuesj-1338	17	60	and	and	CCONJ
cuesj-1338	17	61	economics	economic	NOUN
cuesj-1338	17	62	,	,	PUNCT
cuesj-1338	17	63	salahaddin	salahaddin	VERB
cuesj-1338	17	64	universityerbil	universityerbil	NOUN
cuesj-1338	17	65	,	,	PUNCT
cuesj-1338	17	66	erbil	erbil	PROPN
cuesj-1338	17	67	,	,	PUNCT
cuesj-1338	17	68	iraq	iraq	PROPN
cuesj-1338	17	69	.	.	PUNCT
cuesj-1338	18	1	e	e	X
cuesj-1338	18	2	-	-	NOUN
cuesj-1338	18	3	mail	mail	NOUN
cuesj-1338	18	4	:	:	PUNCT
cuesj-1338	18	5	nozad.mahmood@sulicihan.edu.krd	nozad.mahmood@sulicihan.edu.krd	PRON
cuesj-1338	18	6	received	receive	VERB
cuesj-1338	18	7	:	:	PUNCT
cuesj-1338	18	8	november	november	PROPN
cuesj-1338	18	9	21	21	NUM
cuesj-1338	18	10	,	,	PUNCT
cuesj-1338	18	11	2024	2024	NUM
cuesj-1338	18	12	accepted	accept	VERB
cuesj-1338	18	13	:	:	PUNCT
cuesj-1338	18	14	december	december	PROPN
cuesj-1338	18	15	20	20	NUM
cuesj-1338	18	16	,	,	PUNCT
cuesj-1338	18	17	2024	2024	NUM
cuesj-1338	18	18	published	publish	VERB
cuesj-1338	18	19	:	:	PUNCT
cuesj-1338	18	20	january	january	PROPN
cuesj-1338	18	21	20	20	NUM
cuesj-1338	18	22	,	,	PUNCT
cuesj-1338	18	23	2025	2025	NUM
cuesj-1338	18	24	doi	doi	NOUN
cuesj-1338	18	25	:	:	PUNCT
cuesj-1338	18	26	10.24086	10.24086	NUM
cuesj-1338	18	27	/	/	SYM
cuesj-1338	18	28	cuesj.v9n1y2025.pp14	cuesj.v9n1y2025.pp14	NUM
cuesj-1338	18	29	-	-	SYM
cuesj-1338	18	30	23	23	NUM
cuesj-1338	18	31	copyright	copyright	NOUN
cuesj-1338	18	32	©	©	PROPN
cuesj-1338	18	33	2025	2025	NUM
cuesj-1338	18	34	nozad	nozad	PROPN
cuesj-1338	18	35	h.	h.	PROPN
cuesj-1338	18	36	mahmood	mahmood	PROPN
cuesj-1338	18	37	,	,	PUNCT
cuesj-1338	18	38	dler	dler	NOUN
cuesj-1338	18	39	h.	h.	PROPN
cuesj-1338	18	40	kadir	kadir	PROPN
cuesj-1338	18	41	.	.	PUNCT
cuesj-1338	19	1	this	this	PRON
cuesj-1338	19	2	is	be	AUX
cuesj-1338	19	3	an	an	DET
cuesj-1338	19	4	open	open	ADJ
cuesj-1338	19	5	-	-	PUNCT
cuesj-1338	19	6	access	access	NOUN
cuesj-1338	19	7	article	article	NOUN
cuesj-1338	19	8	distributed	distribute	VERB
cuesj-1338	19	9	under	under	ADP
cuesj-1338	19	10	the	the	DET
cuesj-1338	19	11	creative	creative	ADJ
cuesj-1338	19	12	commons	common	NOUN
cuesj-1338	19	13	attribution	attribution	NOUN
cuesj-1338	19	14	license	license	NOUN
cuesj-1338	19	15	.	.	PUNCT
cuesj-1338	20	1	cihan	cihan	VERB
cuesj-1338	20	2	university	university	NOUN
cuesj-1338	20	3	-	-	PUNCT
cuesj-1338	20	4	erbil	erbil	PROPN
cuesj-1338	20	5	scientific	scientific	ADJ
cuesj-1338	20	6	journal	journal	NOUN
cuesj-1338	20	7	(	(	PUNCT
cuesj-1338	20	8	cuesj	cuesj	PROPN
cuesj-1338	20	9	)	)	PUNCT
cuesj-1338	20	10	mahmood	mahmood	PROPN
cuesj-1338	20	11	and	and	CCONJ
cuesj-1338	20	12	kadir	kadir	PROPN
cuesj-1338	20	13	:	:	PUNCT
cuesj-1338	20	14	elastic	elastic	ADJ
cuesj-1338	20	15	net	net	NOUN
cuesj-1338	20	16	for	for	ADP
cuesj-1338	20	17	brain	brain	NOUN
cuesj-1338	20	18	cancer	cancer	NOUN
cuesj-1338	20	19	genetics	genetic	NOUN
cuesj-1338	20	20	15	15	NUM
cuesj-1338	20	21	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	20	22	cuesj	cuesj	NOUN
cuesj-1338	20	23	2025	2025	NUM
cuesj-1338	20	24	,	,	PUNCT
cuesj-1338	20	25	9	9	NUM
cuesj-1338	20	26	(	(	PUNCT
cuesj-1338	20	27	1	1	NUM
cuesj-1338	20	28	):	):	PUNCT
cuesj-1338	20	29	14	14	NUM
cuesj-1338	20	30	-	-	SYM
cuesj-1338	20	31	23	23	NUM
cuesj-1338	20	32	levels	level	NOUN
cuesj-1338	20	33	)	)	PUNCT
cuesj-1338	20	34	with	with	ADP
cuesj-1338	20	35	a	a	DET
cuesj-1338	20	36	dependent	dependent	ADJ
cuesj-1338	20	37	variable	variable	NOUN
cuesj-1338	20	38	which	which	PRON
cuesj-1338	20	39	is	be	AUX
cuesj-1338	20	40	categorical	categorical	ADJ
cuesj-1338	20	41	(	(	PUNCT
cuesj-1338	20	42	subtype	subtype	NOUN
cuesj-1338	20	43	of	of	ADP
cuesj-1338	20	44	brain	brain	NOUN
cuesj-1338	20	45	cancer	cancer	NOUN
cuesj-1338	20	46	)	)	PUNCT
cuesj-1338	20	47	by	by	ADP
cuesj-1338	20	48	estimating	estimate	VERB
cuesj-1338	20	49	the	the	DET
cuesj-1338	20	50	log	log	NOUN
cuesj-1338	20	51	-	-	PUNCT
cuesj-1338	20	52	odds	odd	NOUN
cuesj-1338	20	53	for	for	ADP
cuesj-1338	20	54	each	each	DET
cuesj-1338	20	55	brain	brain	NOUN
cuesj-1338	20	56	cancer	cancer	NOUN
cuesj-1338	20	57	subtype	subtype	NOUN
cuesj-1338	20	58	with	with	ADP
cuesj-1338	20	59	respect	respect	NOUN
cuesj-1338	20	60	to	to	ADP
cuesj-1338	20	61	a	a	DET
cuesj-1338	20	62	certain	certain	ADJ
cuesj-1338	20	63	base	base	NOUN
cuesj-1338	20	64	category.[8	category.[8	NOUN
cuesj-1338	20	65	]	]	PUNCT
cuesj-1338	20	66	even	even	ADV
cuesj-1338	20	67	though	though	SCONJ
cuesj-1338	20	68	mlr	mlr	NOUN
cuesj-1338	20	69	seems	seem	VERB
cuesj-1338	20	70	to	to	PART
cuesj-1338	20	71	be	be	AUX
cuesj-1338	20	72	a	a	DET
cuesj-1338	20	73	powerful	powerful	ADJ
cuesj-1338	20	74	method	method	NOUN
cuesj-1338	20	75	,	,	PUNCT
cuesj-1338	20	76	it	it	PRON
cuesj-1338	20	77	has	have	VERB
cuesj-1338	20	78	problems	problem	NOUN
cuesj-1338	20	79	in	in	ADP
cuesj-1338	20	80	high	high	ADJ
cuesj-1338	20	81	-	-	PUNCT
cuesj-1338	20	82	dimensional	dimensional	ADJ
cuesj-1338	20	83	areas	area	NOUN
cuesj-1338	20	84	.	.	PUNCT
cuesj-1338	21	1	traditional	traditional	ADJ
cuesj-1338	21	2	mlr	mlr	NOUN
cuesj-1338	21	3	often	often	ADV
cuesj-1338	21	4	suffers	suffer	VERB
cuesj-1338	21	5	from	from	ADP
cuesj-1338	21	6	overfitting	overfitte	VERB
cuesj-1338	21	7	which	which	PRON
cuesj-1338	21	8	leads	lead	VERB
cuesj-1338	21	9	to	to	ADP
cuesj-1338	21	10	unstable	unstable	ADJ
cuesj-1338	21	11	estimates	estimate	NOUN
cuesj-1338	21	12	and	and	CCONJ
cuesj-1338	21	13	poor	poor	ADJ
cuesj-1338	21	14	predictions	prediction	NOUN
cuesj-1338	21	15	in	in	ADP
cuesj-1338	21	16	large	large	ADJ
cuesj-1338	21	17	genomic	genomic	NOUN
cuesj-1338	21	18	-	-	PUNCT
cuesj-1338	21	19	wide	wide	ADJ
cuesj-1338	21	20	association	association	NOUN
cuesj-1338	21	21	studies	study	NOUN
cuesj-1338	21	22	with	with	ADP
cuesj-1338	21	23	limited	limited	ADJ
cuesj-1338	21	24	samples.[9	samples.[9	NUM
cuesj-1338	21	25	]	]	PUNCT
cuesj-1338	21	26	moreover	moreover	ADV
cuesj-1338	21	27	,	,	PUNCT
cuesj-1338	21	28	collinearity	collinearity	NOUN
cuesj-1338	21	29	between	between	ADP
cuesj-1338	21	30	the	the	DET
cuesj-1338	21	31	predictor	predictor	NOUN
cuesj-1338	21	32	variables	variable	NOUN
cuesj-1338	21	33	of	of	ADP
cuesj-1338	21	34	which	which	PRON
cuesj-1338	21	35	the	the	DET
cuesj-1338	21	36	standard	standard	ADJ
cuesj-1338	21	37	errors	error	NOUN
cuesj-1338	21	38	will	will	AUX
cuesj-1338	21	39	be	be	AUX
cuesj-1338	21	40	large	large	ADJ
cuesj-1338	21	41	,	,	PUNCT
cuesj-1338	21	42	making	make	VERB
cuesj-1338	21	43	individual	individual	ADJ
cuesj-1338	21	44	gene	gene	NOUN
cuesj-1338	21	45	effects	effect	NOUN
cuesj-1338	21	46	less	less	ADJ
cuesj-1338	21	47	identifiable.[10	identifiable.[10	NOUN
cuesj-1338	21	48	]	]	PUNCT
cuesj-1338	21	49	such	such	ADJ
cuesj-1338	21	50	challenges	challenge	NOUN
cuesj-1338	21	51	mean	mean	VERB
cuesj-1338	21	52	that	that	SCONJ
cuesj-1338	21	53	penalized	penalize	VERB
cuesj-1338	21	54	methods	method	NOUN
cuesj-1338	21	55	have	have	VERB
cuesj-1338	21	56	to	to	PART
cuesj-1338	21	57	be	be	AUX
cuesj-1338	21	58	employed	employ	VERB
cuesj-1338	21	59	for	for	ADP
cuesj-1338	21	60	better	well	ADJ
cuesj-1338	21	61	variable	variable	ADJ
cuesj-1338	21	62	selection	selection	NOUN
cuesj-1338	21	63	and	and	CCONJ
cuesj-1338	21	64	to	to	PART
cuesj-1338	21	65	improve	improve	VERB
cuesj-1338	21	66	the	the	DET
cuesj-1338	21	67	model	model	NOUN
cuesj-1338	21	68	’s	’s	PART
cuesj-1338	21	69	robustness	robustness	NOUN
cuesj-1338	21	70	.	.	PUNCT
cuesj-1338	22	1	the	the	DET
cuesj-1338	22	2	elastic	elastic	ADJ
cuesj-1338	22	3	net	net	NOUN
cuesj-1338	22	4	is	be	AUX
cuesj-1338	22	5	a	a	DET
cuesj-1338	22	6	contemporary	contemporary	ADJ
cuesj-1338	22	7	and	and	CCONJ
cuesj-1338	22	8	efficient	efficient	ADJ
cuesj-1338	22	9	method	method	NOUN
cuesj-1338	22	10	for	for	ADP
cuesj-1338	22	11	regularization	regularization	NOUN
cuesj-1338	22	12	and	and	CCONJ
cuesj-1338	22	13	variable	variable	ADJ
cuesj-1338	22	14	selection	selection	NOUN
cuesj-1338	22	15	which	which	PRON
cuesj-1338	22	16	improves	improve	VERB
cuesj-1338	22	17	the	the	DET
cuesj-1338	22	18	shortcomings	shortcoming	NOUN
cuesj-1338	22	19	of	of	ADP
cuesj-1338	22	20	the	the	DET
cuesj-1338	22	21	classical	classical	ADJ
cuesj-1338	22	22	mlr	mlr	NOUN
cuesj-1338	22	23	in	in	ADP
cuesj-1338	22	24	the	the	DET
cuesj-1338	22	25	examination	examination	NOUN
cuesj-1338	22	26	of	of	ADP
cuesj-1338	22	27	high	high	ADJ
cuesj-1338	22	28	-	-	PUNCT
cuesj-1338	22	29	dimensional	dimensional	ADJ
cuesj-1338	22	30	mlr	mlr	NOUN
cuesj-1338	22	31	data	data	PROPN
cuesj-1338	22	32	sets.[11	sets.[11	PROPN
cuesj-1338	22	33	]	]	PUNCT
cuesj-1338	22	34	it	it	PRON
cuesj-1338	22	35	wallows	wallow	VERB
cuesj-1338	22	36	in	in	ADP
cuesj-1338	22	37	the	the	DET
cuesj-1338	22	38	l1	l1	PROPN
cuesj-1338	22	39	(	(	PUNCT
cuesj-1338	22	40	lasso	lasso	PROPN
cuesj-1338	22	41	)	)	PUNCT
cuesj-1338	22	42	and	and	CCONJ
cuesj-1338	22	43	l2	l2	NOUN
cuesj-1338	22	44	(	(	PUNCT
cuesj-1338	22	45	ridge	ridge	NOUN
cuesj-1338	22	46	)	)	PUNCT
cuesj-1338	22	47	penalties	penalty	NOUN
cuesj-1338	22	48	which	which	PRON
cuesj-1338	22	49	provide	provide	VERB
cuesj-1338	22	50	a	a	DET
cuesj-1338	22	51	level	level	NOUN
cuesj-1338	22	52	of	of	ADP
cuesj-1338	22	53	tradeoff	tradeoff	NOUN
cuesj-1338	22	54	between	between	ADP
cuesj-1338	22	55	the	the	DET
cuesj-1338	22	56	selection	selection	NOUN
cuesj-1338	22	57	process	process	NOUN
cuesj-1338	22	58	and	and	CCONJ
cuesj-1338	22	59	shrinkage	shrinkage	NOUN
cuesj-1338	22	60	of	of	ADP
cuesj-1338	22	61	the	the	DET
cuesj-1338	22	62	coefficient	coefficient	NOUN
cuesj-1338	22	63	of	of	ADP
cuesj-1338	22	64	the	the	DET
cuesj-1338	22	65	model	model	NOUN
cuesj-1338	22	66	parameters.[12,13	parameters.[12,13	NOUN
cuesj-1338	22	67	]	]	PUNCT
cuesj-1338	22	68	where	where	SCONJ
cuesj-1338	22	69	there	there	PRON
cuesj-1338	22	70	is	be	VERB
cuesj-1338	22	71	an	an	DET
cuesj-1338	22	72	application	application	NOUN
cuesj-1338	22	73	of	of	ADP
cuesj-1338	22	74	the	the	DET
cuesj-1338	22	75	l1	l1	PROPN
cuesj-1338	22	76	penalty	penalty	NOUN
cuesj-1338	22	77	,	,	PUNCT
cuesj-1338	22	78	it	it	PRON
cuesj-1338	22	79	is	be	AUX
cuesj-1338	22	80	noted	note	VERB
cuesj-1338	22	81	to	to	PART
cuesj-1338	22	82	promote	promote	VERB
cuesj-1338	22	83	the	the	DET
cuesj-1338	22	84	occurrence	occurrence	NOUN
cuesj-1338	22	85	of	of	ADP
cuesj-1338	22	86	sparsity	sparsity	NOUN
cuesj-1338	22	87	by	by	ADP
cuesj-1338	22	88	shrinking	shrink	VERB
cuesj-1338	22	89	some	some	PRON
cuesj-1338	22	90	of	of	ADP
cuesj-1338	22	91	the	the	DET
cuesj-1338	22	92	coefficients	coefficient	NOUN
cuesj-1338	22	93	to	to	ADP
cuesj-1338	22	94	exactly	exactly	ADV
cuesj-1338	22	95	zero	zero	NUM
cuesj-1338	22	96	,	,	PUNCT
cuesj-1338	22	97	thereby	thereby	ADV
cuesj-1338	22	98	performing	perform	VERB
cuesj-1338	22	99	an	an	DET
cuesj-1338	22	100	automatic	automatic	ADJ
cuesj-1338	22	101	variable	variable	ADJ
cuesj-1338	22	102	selection	selection	NOUN
cuesj-1338	22	103	process.[14	process.[14	PROPN
cuesj-1338	22	104	]	]	PUNCT
cuesj-1338	22	105	where	where	SCONJ
cuesj-1338	22	106	there	there	PRON
cuesj-1338	22	107	is	be	VERB
cuesj-1338	22	108	an	an	DET
cuesj-1338	22	109	application	application	NOUN
cuesj-1338	22	110	of	of	ADP
cuesj-1338	22	111	the	the	DET
cuesj-1338	22	112	l2	l2	NOUN
cuesj-1338	22	113	penalty	penalty	NOUN
cuesj-1338	22	114	,	,	PUNCT
cuesj-1338	22	115	all	all	DET
cuesj-1338	22	116	the	the	DET
cuesj-1338	22	117	coefficients	coefficient	NOUN
cuesj-1338	22	118	are	be	AUX
cuesj-1338	22	119	shrunken	shrunken	ADJ
cuesj-1338	22	120	to	to	ADP
cuesj-1338	22	121	zero	zero	NUM
cuesj-1338	22	122	,	,	PUNCT
cuesj-1338	22	123	including	include	VERB
cuesj-1338	22	124	the	the	DET
cuesj-1338	22	125	offset	offset	NOUN
cuesj-1338	22	126	,	,	PUNCT
cuesj-1338	22	127	thereby	thereby	ADV
cuesj-1338	22	128	even	even	ADV
cuesj-1338	22	129	alleviating	alleviate	VERB
cuesj-1338	22	130	multicollinearity	multicollinearity	NOUN
cuesj-1338	22	131	and	and	CCONJ
cuesj-1338	22	132	increasing	increase	VERB
cuesj-1338	22	133	model	model	NOUN
cuesj-1338	22	134	stability	stability	NOUN
cuesj-1338	22	135	.	.	PUNCT
cuesj-1338	23	1	the	the	DET
cuesj-1338	23	2	existing	exist	VERB
cuesj-1338	23	3	relationship	relationship	NOUN
cuesj-1338	23	4	or	or	CCONJ
cuesj-1338	23	5	association	association	NOUN
cuesj-1338	23	6	between	between	ADP
cuesj-1338	23	7	the	the	DET
cuesj-1338	23	8	two	two	NUM
cuesj-1338	23	9	penalties	penalty	NOUN
cuesj-1338	23	10	means	mean	VERB
cuesj-1338	23	11	that	that	SCONJ
cuesj-1338	23	12	the	the	DET
cuesj-1338	23	13	application	application	NOUN
cuesj-1338	23	14	of	of	ADP
cuesj-1338	23	15	the	the	DET
cuesj-1338	23	16	elastic	elastic	ADJ
cuesj-1338	23	17	net	net	NOUN
cuesj-1338	23	18	to	to	ADP
cuesj-1338	23	19	high	high	ADJ
cuesj-1338	23	20	-	-	PUNCT
cuesj-1338	23	21	dimensional	dimensional	ADJ
cuesj-1338	23	22	genetic	genetic	ADJ
cuesj-1338	23	23	data	datum	NOUN
cuesj-1338	23	24	has	have	VERB
cuesj-1338	23	25	a	a	DET
cuesj-1338	23	26	lot	lot	NOUN
cuesj-1338	23	27	of	of	ADP
cuesj-1338	23	28	advantages	advantage	NOUN
cuesj-1338	23	29	.	.	PUNCT
cuesj-1338	24	1	for	for	ADP
cuesj-1338	24	2	instance	instance	NOUN
cuesj-1338	24	3	,	,	PUNCT
cuesj-1338	24	4	the	the	DET
cuesj-1338	24	5	method	method	NOUN
cuesj-1338	24	6	is	be	AUX
cuesj-1338	24	7	less	less	ADV
cuesj-1338	24	8	frustrating	frustrating	ADJ
cuesj-1338	24	9	in	in	ADP
cuesj-1338	24	10	identifying	identify	VERB
cuesj-1338	24	11	relevant	relevant	ADJ
cuesj-1338	24	12	genes	gene	NOUN
cuesj-1338	24	13	with	with	ADP
cuesj-1338	24	14	respect	respect	NOUN
cuesj-1338	24	15	to	to	ADP
cuesj-1338	24	16	the	the	DET
cuesj-1338	24	17	presence	presence	NOUN
cuesj-1338	24	18	of	of	ADP
cuesj-1338	24	19	several	several	ADJ
cuesj-1338	24	20	other	other	ADJ
cuesj-1338	24	21	genes	gene	NOUN
cuesj-1338	24	22	,	,	PUNCT
cuesj-1338	24	23	thereby	thereby	ADV
cuesj-1338	24	24	devising	devise	VERB
cuesj-1338	24	25	models	model	NOUN
cuesj-1338	24	26	that	that	PRON
cuesj-1338	24	27	are	be	AUX
cuesj-1338	24	28	easier	easy	ADJ
cuesj-1338	24	29	to	to	PART
cuesj-1338	24	30	work	work	VERB
cuesj-1338	24	31	with	with	ADP
cuesj-1338	24	32	and	and	CCONJ
cuesj-1338	24	33	understand.[15	understand.[15	VERB
cuesj-1338	24	34	]	]	X
cuesj-1338	24	35	the	the	DET
cuesj-1338	24	36	performance	performance	NOUN
cuesj-1338	24	37	of	of	ADP
cuesj-1338	24	38	the	the	DET
cuesj-1338	24	39	elastic	elastic	ADJ
cuesj-1338	24	40	net	net	NOUN
cuesj-1338	24	41	is	be	AUX
cuesj-1338	24	42	better	well	ADJ
cuesj-1338	24	43	than	than	ADP
cuesj-1338	24	44	that	that	PRON
cuesj-1338	24	45	of	of	ADP
cuesj-1338	24	46	the	the	DET
cuesj-1338	24	47	lasso	lasso	NOUN
cuesj-1338	24	48	and	and	CCONJ
cuesj-1338	24	49	ridge	ridge	NOUN
cuesj-1338	24	50	regression	regression	NOUN
cuesj-1338	24	51	in	in	ADP
cuesj-1338	24	52	most	most	ADJ
cuesj-1338	24	53	highdimensional	highdimensional	ADJ
cuesj-1338	24	54	situations.[16,17	situations.[16,17	NOUN
cuesj-1338	24	55	]	]	PUNCT
cuesj-1338	24	56	along	along	ADP
cuesj-1338	24	57	with	with	ADP
cuesj-1338	24	58	its	its	PRON
cuesj-1338	24	59	ability	ability	NOUN
cuesj-1338	24	60	to	to	PART
cuesj-1338	24	61	interpret	interpret	VERB
cuesj-1338	24	62	the	the	DET
cuesj-1338	24	63	model	model	NOUN
cuesj-1338	24	64	,	,	PUNCT
cuesj-1338	24	65	better	well	ADJ
cuesj-1338	24	66	prediction	prediction	NOUN
cuesj-1338	24	67	accuracy	accuracy	NOUN
cuesj-1338	24	68	increased	increase	VERB
cuesj-1338	24	69	,	,	PUNCT
cuesj-1338	24	70	thus	thus	ADV
cuesj-1338	24	71	the	the	DET
cuesj-1338	24	72	method	method	NOUN
cuesj-1338	24	73	may	may	AUX
cuesj-1338	24	74	work	work	VERB
cuesj-1338	24	75	for	for	ADP
cuesj-1338	24	76	identifying	identify	VERB
cuesj-1338	24	77	critical	critical	ADJ
cuesj-1338	24	78	genetic	genetic	ADJ
cuesj-1338	24	79	markers	marker	NOUN
cuesj-1338	24	80	for	for	ADP
cuesj-1338	24	81	subtypes	subtype	NOUN
cuesj-1338	24	82	of	of	ADP
cuesj-1338	24	83	brain	brain	NOUN
cuesj-1338	24	84	cancer	cancer	NOUN
cuesj-1338	24	85	.	.	PUNCT
cuesj-1338	25	1	the	the	DET
cuesj-1338	25	2	objective	objective	NOUN
cuesj-1338	25	3	of	of	ADP
cuesj-1338	25	4	the	the	DET
cuesj-1338	25	5	research	research	NOUN
cuesj-1338	25	6	is	be	AUX
cuesj-1338	25	7	to	to	PART
cuesj-1338	25	8	apply	apply	VERB
cuesj-1338	25	9	an	an	DET
cuesj-1338	25	10	elastic	elastic	ADJ
cuesj-1338	25	11	netregularized	netregularize	VERB
cuesj-1338	25	12	mlr	mlr	NOUN
cuesj-1338	25	13	framework	framework	NOUN
cuesj-1338	25	14	to	to	PART
cuesj-1338	25	15	identify	identify	VERB
cuesj-1338	25	16	the	the	DET
cuesj-1338	25	17	key	key	ADJ
cuesj-1338	25	18	genes	gene	NOUN
cuesj-1338	25	19	which	which	PRON
cuesj-1338	25	20	are	be	AUX
cuesj-1338	25	21	responsible	responsible	ADJ
cuesj-1338	25	22	for	for	ADP
cuesj-1338	25	23	the	the	DET
cuesj-1338	25	24	different	different	ADJ
cuesj-1338	25	25	subtypes	subtype	NOUN
cuesj-1338	25	26	of	of	ADP
cuesj-1338	25	27	brain	brain	NOUN
cuesj-1338	25	28	cancer	cancer	NOUN
cuesj-1338	25	29	using	use	VERB
cuesj-1338	25	30	the	the	DET
cuesj-1338	25	31	high	high	ADJ
cuesj-1338	25	32	dimensional	dimensional	ADJ
cuesj-1338	25	33	gene	gene	NOUN
cuesj-1338	25	34	expression	expression	NOUN
cuesj-1338	25	35	dataset	dataset	NOUN
cuesj-1338	25	36	.	.	PUNCT
cuesj-1338	26	1	it	it	PRON
cuesj-1338	26	2	is	be	AUX
cuesj-1338	26	3	also	also	ADV
cuesj-1338	26	4	intended	intend	VERB
cuesj-1338	26	5	to	to	PART
cuesj-1338	26	6	make	make	VERB
cuesj-1338	26	7	use	use	NOUN
cuesj-1338	26	8	of	of	ADP
cuesj-1338	26	9	the	the	DET
cuesj-1338	26	10	variable	variable	ADJ
cuesj-1338	26	11	selection	selection	NOUN
cuesj-1338	26	12	attributes	attribute	NOUN
cuesj-1338	26	13	of	of	ADP
cuesj-1338	26	14	the	the	DET
cuesj-1338	26	15	elastic	elastic	ADJ
cuesj-1338	26	16	net	net	NOUN
cuesj-1338	26	17	to	to	PART
cuesj-1338	26	18	obtain	obtain	VERB
cuesj-1338	26	19	gene	gene	NOUN
cuesj-1338	26	20	expression	expression	NOUN
cuesj-1338	26	21	patterns	pattern	NOUN
cuesj-1338	26	22	,	,	PUNCT
cuesj-1338	26	23	which	which	PRON
cuesj-1338	26	24	will	will	AUX
cuesj-1338	26	25	assist	assist	VERB
cuesj-1338	26	26	in	in	ADP
cuesj-1338	26	27	the	the	DET
cuesj-1338	26	28	identification	identification	NOUN
cuesj-1338	26	29	of	of	ADP
cuesj-1338	26	30	specific	specific	ADJ
cuesj-1338	26	31	subtypes	subtype	NOUN
cuesj-1338	26	32	of	of	ADP
cuesj-1338	26	33	brain	brain	NOUN
cuesj-1338	26	34	cancer	cancer	NOUN
cuesj-1338	26	35	,	,	PUNCT
cuesj-1338	26	36	helping	helping	AUX
cuesj-1338	26	37	improve	improve	VERB
cuesj-1338	26	38	its	its	PRON
cuesj-1338	26	39	diagnosis	diagnosis	NOUN
cuesj-1338	26	40	and	and	CCONJ
cuesj-1338	26	41	treatment	treatment	NOUN
cuesj-1338	26	42	.	.	PUNCT
cuesj-1338	27	1	literature	literature	NOUN
cuesj-1338	27	2	review	review	VERB
cuesj-1338	27	3	analysis	analysis	NOUN
cuesj-1338	27	4	of	of	ADP
cuesj-1338	27	5	gene	gene	NOUN
cuesj-1338	27	6	expression	expression	NOUN
cuesj-1338	27	7	has	have	AUX
cuesj-1338	27	8	proven	prove	VERB
cuesj-1338	27	9	to	to	PART
cuesj-1338	27	10	be	be	AUX
cuesj-1338	27	11	an	an	DET
cuesj-1338	27	12	important	important	ADJ
cuesj-1338	27	13	tool	tool	NOUN
cuesj-1338	27	14	in	in	ADP
cuesj-1338	27	15	brain	brain	NOUN
cuesj-1338	27	16	cancer	cancer	NOUN
cuesj-1338	27	17	studies	study	NOUN
cuesj-1338	27	18	because	because	SCONJ
cuesj-1338	27	19	it	it	PRON
cuesj-1338	27	20	has	have	AUX
cuesj-1338	27	21	helped	help	VERB
cuesj-1338	27	22	define	define	VERB
cuesj-1338	27	23	molecular	molecular	ADJ
cuesj-1338	27	24	subtypes	subtype	NOUN
cuesj-1338	27	25	,	,	PUNCT
cuesj-1338	27	26	prognostic	prognostic	ADJ
cuesj-1338	27	27	indicators	indicator	NOUN
cuesj-1338	27	28	,	,	PUNCT
cuesj-1338	27	29	and	and	CCONJ
cuesj-1338	27	30	even	even	ADV
cuesj-1338	27	31	therapeutic	therapeutic	ADJ
cuesj-1338	27	32	targets.[18	targets.[18	PROPN
cuesj-1338	27	33	]	]	PUNCT
cuesj-1338	27	34	microarray	microarray	NOUN
cuesj-1338	27	35	and	and	CCONJ
cuesj-1338	27	36	rna	rna	NOUN
cuesj-1338	27	37	sequencing	sequencing	NOUN
cuesj-1338	27	38	techniques	technique	NOUN
cuesj-1338	27	39	have	have	AUX
cuesj-1338	27	40	been	be	AUX
cuesj-1338	27	41	employed	employ	VERB
cuesj-1338	27	42	to	to	PART
cuesj-1338	27	43	characterize	characterize	VERB
cuesj-1338	27	44	the	the	DET
cuesj-1338	27	45	pattern	pattern	NOUN
cuesj-1338	27	46	of	of	ADP
cuesj-1338	27	47	gene	gene	NOUN
cuesj-1338	27	48	expression	expression	NOUN
cuesj-1338	27	49	in	in	ADP
cuesj-1338	27	50	different	different	ADJ
cuesj-1338	27	51	types	type	NOUN
cuesj-1338	27	52	and	and	CCONJ
cuesj-1338	27	53	grades	grade	NOUN
cuesj-1338	27	54	of	of	ADP
cuesj-1338	27	55	brain	brain	NOUN
cuesj-1338	27	56	tumors	tumor	NOUN
cuesj-1338	27	57	which	which	PRON
cuesj-1338	27	58	disclose	disclose	VERB
cuesj-1338	27	59	distinct	distinct	ADJ
cuesj-1338	27	60	molecular	molecular	ADJ
cuesj-1338	27	61	profiles	profile	NOUN
cuesj-1338	27	62	that	that	PRON
cuesj-1338	27	63	correlate	correlate	VERB
cuesj-1338	27	64	with	with	ADP
cuesj-1338	27	65	the	the	DET
cuesj-1338	27	66	aggressiveness	aggressiveness	NOUN
cuesj-1338	27	67	of	of	ADP
cuesj-1338	27	68	the	the	DET
cuesj-1338	27	69	tumor	tumor	NOUN
cuesj-1338	27	70	features	feature	VERB
cuesj-1338	27	71	,	,	PUNCT
cuesj-1338	27	72	response	response	NOUN
cuesj-1338	27	73	to	to	ADP
cuesj-1338	27	74	treatment	treatment	NOUN
cuesj-1338	27	75	,	,	PUNCT
cuesj-1338	27	76	and	and	CCONJ
cuesj-1338	27	77	survival	survival	NOUN
cuesj-1338	27	78	of	of	ADP
cuesj-1338	27	79	patients.[19,20	patients.[19,20	PROPN
cuesj-1338	27	80	]	]	PUNCT
cuesj-1338	27	81	these	these	DET
cuesj-1338	27	82	studies	study	NOUN
cuesj-1338	27	83	underscore	underscore	VERB
cuesj-1338	27	84	the	the	DET
cuesj-1338	27	85	usefulness	usefulness	NOUN
cuesj-1338	27	86	of	of	ADP
cuesj-1338	27	87	gene	gene	NOUN
cuesj-1338	27	88	expression	expression	NOUN
cuesj-1338	27	89	data	datum	NOUN
cuesj-1338	27	90	in	in	ADP
cuesj-1338	27	91	making	make	VERB
cuesj-1338	27	92	sense	sense	NOUN
cuesj-1338	27	93	of	of	ADP
cuesj-1338	27	94	the	the	DET
cuesj-1338	27	95	pathology	pathology	NOUN
cuesj-1338	27	96	of	of	ADP
cuesj-1338	27	97	brain	brain	NOUN
cuesj-1338	27	98	cancer	cancer	NOUN
cuesj-1338	27	99	and	and	CCONJ
cuesj-1338	27	100	the	the	DET
cuesj-1338	27	101	development	development	NOUN
cuesj-1338	27	102	of	of	ADP
cuesj-1338	27	103	individualized	individualized	ADJ
cuesj-1338	27	104	treatment	treatment	NOUN
cuesj-1338	27	105	approaches	approach	NOUN
cuesj-1338	27	106	as	as	ADV
cuesj-1338	27	107	well	well	ADV
cuesj-1338	27	108	.	.	PUNCT
cuesj-1338	28	1	the	the	DET
cuesj-1338	28	2	most	most	ADV
cuesj-1338	28	3	important	important	ADJ
cuesj-1338	28	4	problem	problem	NOUN
cuesj-1338	28	5	in	in	ADP
cuesj-1338	28	6	this	this	DET
cuesj-1338	28	7	sphere	sphere	NOUN
cuesj-1338	28	8	of	of	ADP
cuesj-1338	28	9	research	research	NOUN
cuesj-1338	28	10	is	be	AUX
cuesj-1338	28	11	the	the	DET
cuesj-1338	28	12	analysis	analysis	NOUN
cuesj-1338	28	13	of	of	ADP
cuesj-1338	28	14	data	datum	NOUN
cuesj-1338	28	15	which	which	PRON
cuesj-1338	28	16	has	have	VERB
cuesj-1338	28	17	a	a	DET
cuesj-1338	28	18	large	large	ADJ
cuesj-1338	28	19	number	number	NOUN
cuesj-1338	28	20	of	of	ADP
cuesj-1338	28	21	dimensions	dimension	NOUN
cuesj-1338	28	22	.	.	PUNCT
cuesj-1338	29	1	as	as	SCONJ
cuesj-1338	29	2	biological	biological	ADJ
cuesj-1338	29	3	research	research	NOUN
cuesj-1338	29	4	now	now	ADV
cuesj-1338	29	5	can	can	AUX
cuesj-1338	29	6	title	title	VERB
cuesj-1338	29	7	and	and	CCONJ
cuesj-1338	29	8	measure	measure	VERB
cuesj-1338	29	9	thousands	thousand	NOUN
cuesj-1338	29	10	of	of	ADP
cuesj-1338	29	11	genes	gene	NOUN
cuesj-1338	29	12	at	at	ADP
cuesj-1338	29	13	once	once	ADV
cuesj-1338	29	14	,	,	PUNCT
cuesj-1338	29	15	traditional	traditional	ADJ
cuesj-1338	29	16	statistical	statistical	ADJ
cuesj-1338	29	17	approaches	approach	NOUN
cuesj-1338	29	18	usually	usually	ADV
cuesj-1338	29	19	fall	fall	VERB
cuesj-1338	29	20	short	short	ADJ
cuesj-1338	29	21	because	because	SCONJ
cuesj-1338	29	22	of	of	ADP
cuesj-1338	29	23	multicollinearity	multicollinearity	NOUN
cuesj-1338	29	24	,	,	PUNCT
cuesj-1338	29	25	overfitting	overfitting	NOUN
cuesj-1338	29	26	,	,	PUNCT
cuesj-1338	29	27	and	and	CCONJ
cuesj-1338	29	28	poor	poor	ADJ
cuesj-1338	29	29	accuracy.[21	accuracy.[21	PROPN
cuesj-1338	29	30	]	]	PUNCT
cuesj-1338	29	31	the	the	DET
cuesj-1338	29	32	“	"	PUNCT
cuesj-1338	29	33	curse	curse	NOUN
cuesj-1338	29	34	of	of	ADP
cuesj-1338	29	35	dimensionality	dimensionality	NOUN
cuesj-1338	29	36	”	"	PUNCT
cuesj-1338	29	37	relates	relate	VERB
cuesj-1338	29	38	to	to	ADP
cuesj-1338	29	39	the	the	DET
cuesj-1338	29	40	fact	fact	NOUN
cuesj-1338	29	41	that	that	SCONJ
cuesj-1338	29	42	as	as	ADP
cuesj-1338	29	43	the	the	DET
cuesj-1338	29	44	number	number	NOUN
cuesj-1338	29	45	of	of	ADP
cuesj-1338	29	46	dimensions	dimension	NOUN
cuesj-1338	29	47	increases	increase	NOUN
cuesj-1338	29	48	,	,	PUNCT
cuesj-1338	29	49	the	the	DET
cuesj-1338	29	50	data	data	NOUN
cuesj-1338	29	51	becomes	become	VERB
cuesj-1338	29	52	increasingly	increasingly	ADV
cuesj-1338	29	53	sparse	sparse	ADJ
cuesj-1338	29	54	,	,	PUNCT
cuesj-1338	29	55	making	make	VERB
cuesj-1338	29	56	the	the	DET
cuesj-1338	29	57	identification	identification	NOUN
cuesj-1338	29	58	of	of	ADP
cuesj-1338	29	59	meaningful	meaningful	ADJ
cuesj-1338	29	60	correlations	correlation	NOUN
cuesj-1338	29	61	and	and	CCONJ
cuesj-1338	29	62	patterns	pattern	NOUN
cuesj-1338	29	63	in	in	ADP
cuesj-1338	29	64	the	the	DET
cuesj-1338	29	65	data	datum	NOUN
cuesj-1338	29	66	much	much	ADV
cuesj-1338	29	67	more	more	ADJ
cuesj-1338	29	68	effortful.[5	effortful.[5	NOUN
cuesj-1338	29	69	]	]	PUNCT
cuesj-1338	29	70	in	in	ADP
cuesj-1338	29	71	genomics	genomics	NOUN
cuesj-1338	29	72	scenarios	scenario	NOUN
cuesj-1338	29	73	,	,	PUNCT
cuesj-1338	29	74	this	this	PRON
cuesj-1338	29	75	can	can	AUX
cuesj-1338	29	76	venture	venture	VERB
cuesj-1338	29	77	to	to	ADP
cuesj-1338	29	78	unstable	unstable	ADJ
cuesj-1338	29	79	association	association	NOUN
cuesj-1338	29	80	and	and	CCONJ
cuesj-1338	29	81	prediction	prediction	NOUN
cuesj-1338	29	82	in	in	ADP
cuesj-1338	29	83	the	the	DET
cuesj-1338	29	84	results	result	NOUN
cuesj-1338	29	85	.	.	PUNCT
cuesj-1338	30	1	various	various	ADJ
cuesj-1338	30	2	variable	variable	ADJ
cuesj-1338	30	3	selection	selection	NOUN
cuesj-1338	30	4	strategies	strategy	NOUN
cuesj-1338	30	5	have	have	AUX
cuesj-1338	30	6	been	be	AUX
cuesj-1338	30	7	suggested	suggest	VERB
cuesj-1338	30	8	to	to	PART
cuesj-1338	30	9	deal	deal	VERB
cuesj-1338	30	10	with	with	ADP
cuesj-1338	30	11	the	the	DET
cuesj-1338	30	12	high	high	ADJ
cuesj-1338	30	13	dimensionality	dimensionality	NOUN
cuesj-1338	30	14	issue	issue	NOUN
cuesj-1338	30	15	.	.	PUNCT
cuesj-1338	31	1	recursive	recursive	ADJ
cuesj-1338	31	2	partitioning	partitioning	NOUN
cuesj-1338	31	3	techniques	technique	NOUN
cuesj-1338	31	4	,	,	PUNCT
cuesj-1338	31	5	for	for	ADP
cuesj-1338	31	6	example	example	NOUN
cuesj-1338	31	7	,	,	PUNCT
cuesj-1338	31	8	stepwise	stepwise	PROPN
cuesj-1338	31	9	regression	regression	NOUN
cuesj-1338	31	10	methods	method	NOUN
cuesj-1338	31	11	are	be	AUX
cuesj-1338	31	12	easy	easy	ADJ
cuesj-1338	31	13	to	to	PART
cuesj-1338	31	14	implement	implement	VERB
cuesj-1338	31	15	but	but	CCONJ
cuesj-1338	31	16	may	may	AUX
cuesj-1338	31	17	also	also	ADV
cuesj-1338	31	18	be	be	AUX
cuesj-1338	31	19	overfitted	overfitte	VERB
cuesj-1338	31	20	and	and	CCONJ
cuesj-1338	31	21	unstable	unstable	ADJ
cuesj-1338	31	22	as	as	SCONJ
cuesj-1338	31	23	they	they	PRON
cuesj-1338	31	24	use	use	VERB
cuesj-1338	31	25	a	a	DET
cuesj-1338	31	26	greedy	greedy	ADJ
cuesj-1338	31	27	search	search	NOUN
cuesj-1338	31	28	process	process	NOUN
cuesj-1338	31	29	.	.	PUNCT
cuesj-1338	32	1	two	two	NUM
cuesj-1338	32	2	popular	popular	ADJ
cuesj-1338	32	3	penalized	penalize	VERB
cuesj-1338	32	4	regression	regression	NOUN
cuesj-1338	32	5	techniques	technique	NOUN
cuesj-1338	32	6	among	among	ADP
cuesj-1338	32	7	many	many	ADJ
cuesj-1338	32	8	that	that	PRON
cuesj-1338	32	9	can	can	AUX
cuesj-1338	32	10	be	be	AUX
cuesj-1338	32	11	useful	useful	ADJ
cuesj-1338	32	12	are	be	AUX
cuesj-1338	32	13	lasso	lasso	NOUN
cuesj-1338	32	14	regression	regression	NOUN
cuesj-1338	32	15	and	and	CCONJ
cuesj-1338	32	16	ridge	ridge	NOUN
cuesj-1338	32	17	which	which	PRON
cuesj-1338	32	18	are	be	AUX
cuesj-1338	32	19	used	use	VERB
cuesj-1338	32	20	l1	l1	PROPN
cuesj-1338	32	21	and	and	CCONJ
cuesj-1338	32	22	l2	l2	NOUN
cuesj-1338	32	23	penalty	penalty	NOUN
cuesj-1338	32	24	regression	regression	NOUN
cuesj-1338	32	25	,	,	PUNCT
cuesj-1338	32	26	respectively	respectively	ADV
cuesj-1338	32	27	.	.	PUNCT
cuesj-1338	33	1	lasso	lasso	NOUN
cuesj-1338	33	2	not	not	PART
cuesj-1338	33	3	only	only	ADV
cuesj-1338	33	4	does	do	VERB
cuesj-1338	33	5	variable	variable	ADJ
cuesj-1338	33	6	selection	selection	NOUN
cuesj-1338	33	7	but	but	CCONJ
cuesj-1338	33	8	also	also	ADV
cuesj-1338	33	9	shrinks	shrink	VERB
cuesj-1338	33	10	the	the	DET
cuesj-1338	33	11	estimates	estimate	NOUN
cuesj-1338	33	12	of	of	ADP
cuesj-1338	33	13	regression	regression	NOUN
cuesj-1338	33	14	coefficients	coefficient	NOUN
cuesj-1338	33	15	through	through	ADP
cuesj-1338	33	16	the	the	DET
cuesj-1338	33	17	introduction	introduction	NOUN
cuesj-1338	33	18	of	of	ADP
cuesj-1338	33	19	an	an	DET
cuesj-1338	33	20	l1	l1	PROPN
cuesj-1338	33	21	constraint	constraint	NOUN
cuesj-1338	33	22	which	which	PRON
cuesj-1338	33	23	drives	drive	VERB
cuesj-1338	33	24	some	some	DET
cuesj-1338	33	25	coefficients	coefficient	NOUN
cuesj-1338	33	26	to	to	ADP
cuesj-1338	33	27	zero	zero	NUM
cuesj-1338	33	28	.	.	PUNCT
cuesj-1338	34	1	ridge	ridge	NOUN
cuesj-1338	34	2	regression	regression	PROPN
cuesj-1338	34	3	,	,	PUNCT
cuesj-1338	34	4	on	on	ADP
cuesj-1338	34	5	the	the	DET
cuesj-1338	34	6	other	other	ADJ
cuesj-1338	34	7	hand	hand	NOUN
cuesj-1338	34	8	,	,	PUNCT
cuesj-1338	34	9	employs	employ	VERB
cuesj-1338	34	10	l2	l2	NOUN
cuesj-1338	34	11	penalization	penalization	NOUN
cuesj-1338	34	12	and	and	CCONJ
cuesj-1338	34	13	does	do	AUX
cuesj-1338	34	14	not	not	PART
cuesj-1338	34	15	choose	choose	VERB
cuesj-1338	34	16	variables	variable	NOUN
cuesj-1338	34	17	but	but	CCONJ
cuesj-1338	34	18	concentrates	concentrate	VERB
cuesj-1338	34	19	them	they	PRON
cuesj-1338	34	20	near	near	ADP
cuesj-1338	34	21	the	the	DET
cuesj-1338	34	22	zero	zero	NUM
cuesj-1338	34	23	point	point	NOUN
cuesj-1338	34	24	.	.	PUNCT
cuesj-1338	35	1	the	the	DET
cuesj-1338	35	2	elastic	elastic	ADJ
cuesj-1338	35	3	net	net	NOUN
cuesj-1338	35	4	combines	combine	VERB
cuesj-1338	35	5	the	the	DET
cuesj-1338	35	6	merits	merit	NOUN
cuesj-1338	35	7	of	of	ADP
cuesj-1338	35	8	lasso	lasso	NOUN
cuesj-1338	35	9	and	and	CCONJ
cuesj-1338	35	10	ridge	ridge	NOUN
cuesj-1338	35	11	by	by	ADP
cuesj-1338	35	12	dealing	deal	VERB
cuesj-1338	35	13	with	with	ADP
cuesj-1338	35	14	issues	issue	NOUN
cuesj-1338	35	15	associated	associate	VERB
cuesj-1338	35	16	with	with	ADP
cuesj-1338	35	17	highly	highly	ADV
cuesj-1338	35	18	correlated	correlate	VERB
cuesj-1338	35	19	predictors	predictor	NOUN
cuesj-1338	35	20	and	and	CCONJ
cuesj-1338	35	21	allowing	allow	VERB
cuesj-1338	35	22	for	for	ADP
cuesj-1338	35	23	a	a	DET
cuesj-1338	35	24	more	more	ADV
cuesj-1338	35	25	effective	effective	ADJ
cuesj-1338	35	26	application	application	NOUN
cuesj-1338	35	27	of	of	ADP
cuesj-1338	35	28	variable	variable	ADJ
cuesj-1338	35	29	selection	selection	NOUN
cuesj-1338	35	30	methods	method	NOUN
cuesj-1338	35	31	.	.	PUNCT
cuesj-1338	36	1	according	accord	VERB
cuesj-1338	36	2	to[6	to[6	ADP
cuesj-1338	36	3	]	]	AUX
cuesj-1338	36	4	many	many	ADJ
cuesj-1338	36	5	categorical	categorical	ADJ
cuesj-1338	36	6	dependent	dependent	ADJ
cuesj-1338	36	7	variables	variable	NOUN
cuesj-1338	36	8	are	be	AUX
cuesj-1338	36	9	best	well	ADV
cuesj-1338	36	10	analyzed	analyze	VERB
cuesj-1338	36	11	using	use	VERB
cuesj-1338	36	12	techniques	technique	NOUN
cuesj-1338	36	13	such	such	ADJ
cuesj-1338	36	14	as	as	ADP
cuesj-1338	36	15	multinomial	multinomial	ADJ
cuesj-1338	36	16	logistic	logistic	ADJ
cuesj-1338	36	17	regression	regression	NOUN
cuesj-1338	36	18	which	which	PRON
cuesj-1338	36	19	is	be	AUX
cuesj-1338	36	20	one	one	NUM
cuesj-1338	36	21	of	of	ADP
cuesj-1338	36	22	the	the	DET
cuesj-1338	36	23	more	more	ADV
cuesj-1338	36	24	sophisticated	sophisticated	ADJ
cuesj-1338	36	25	statistical	statistical	ADJ
cuesj-1338	36	26	techniques	technique	NOUN
cuesj-1338	36	27	.	.	PUNCT
cuesj-1338	37	1	it	it	PRON
cuesj-1338	37	2	incorporates	incorporate	VERB
cuesj-1338	37	3	the	the	DET
cuesj-1338	37	4	general	general	ADJ
cuesj-1338	37	5	concepts	concept	NOUN
cuesj-1338	37	6	of	of	ADP
cuesj-1338	37	7	logistic	logistic	ADJ
cuesj-1338	37	8	regression	regression	NOUN
cuesj-1338	37	9	into	into	ADP
cuesj-1338	37	10	cases	case	NOUN
cuesj-1338	37	11	where	where	SCONJ
cuesj-1338	37	12	an	an	DET
cuesj-1338	37	13	outcome	outcome	NOUN
cuesj-1338	37	14	variable	variable	NOUN
cuesj-1338	37	15	consists	consist	VERB
cuesj-1338	37	16	of	of	ADP
cuesj-1338	37	17	three	three	NUM
cuesj-1338	37	18	or	or	CCONJ
cuesj-1338	37	19	more	more	ADJ
cuesj-1338	37	20	categories	category	NOUN
cuesj-1338	37	21	.	.	PUNCT
cuesj-1338	38	1	in	in	ADP
cuesj-1338	38	2	the	the	DET
cuesj-1338	38	3	case	case	NOUN
cuesj-1338	38	4	of	of	ADP
cuesj-1338	38	5	brain	brain	NOUN
cuesj-1338	38	6	cancer	cancer	NOUN
cuesj-1338	38	7	,	,	PUNCT
cuesj-1338	38	8	multinomial	multinomial	ADJ
cuesj-1338	38	9	versus	versus	ADP
cuesj-1338	38	10	logistic	logistic	ADJ
cuesj-1338	38	11	regression	regression	NOUN
cuesj-1338	38	12	would	would	AUX
cuesj-1338	38	13	allow	allow	VERB
cuesj-1338	38	14	us	we	PRON
cuesj-1338	38	15	to	to	PART
cuesj-1338	38	16	predict	predict	VERB
cuesj-1338	38	17	the	the	DET
cuesj-1338	38	18	subtype	subtype	NOUN
cuesj-1338	38	19	of	of	ADP
cuesj-1338	38	20	a	a	DET
cuesj-1338	38	21	tumor	tumor	NOUN
cuesj-1338	38	22	based	base	VERB
cuesj-1338	38	23	on	on	ADP
cuesj-1338	38	24	the	the	DET
cuesj-1338	38	25	expression	expression	NOUN
cuesj-1338	38	26	of	of	ADP
cuesj-1338	38	27	a	a	DET
cuesj-1338	38	28	bunch	bunch	NOUN
cuesj-1338	38	29	of	of	ADP
cuesj-1338	38	30	genes	gene	NOUN
cuesj-1338	38	31	.	.	PUNCT
cuesj-1338	39	1	the	the	DET
cuesj-1338	39	2	technique	technique	NOUN
cuesj-1338	39	3	calculates	calculate	VERB
cuesj-1338	39	4	the	the	DET
cuesj-1338	39	5	likelihood	likelihood	NOUN
cuesj-1338	39	6	of	of	ADP
cuesj-1338	39	7	a	a	DET
cuesj-1338	39	8	sample	sample	NOUN
cuesj-1338	39	9	being	be	AUX
cuesj-1338	39	10	of	of	ADP
cuesj-1338	39	11	a	a	DET
cuesj-1338	39	12	specific	specific	ADJ
cuesj-1338	39	13	subtype	subtype	NOUN
cuesj-1338	39	14	by	by	ADP
cuesj-1338	39	15	estimating	estimate	VERB
cuesj-1338	39	16	the	the	DET
cuesj-1338	39	17	log	log	NOUN
cuesj-1338	39	18	odds	odd	NOUN
cuesj-1338	39	19	of	of	ADP
cuesj-1338	39	20	the	the	DET
cuesj-1338	39	21	subtypes	subtype	NOUN
cuesj-1338	39	22	as	as	ADP
cuesj-1338	39	23	a	a	DET
cuesj-1338	39	24	linear	linear	ADJ
cuesj-1338	39	25	combination	combination	NOUN
cuesj-1338	39	26	of	of	ADP
cuesj-1338	39	27	the	the	DET
cuesj-1338	39	28	predictors	predictor	NOUN
cuesj-1338	39	29	which	which	PRON
cuesj-1338	39	30	are	be	AUX
cuesj-1338	39	31	(	(	PUNCT
cuesj-1338	39	32	genes	gene	NOUN
cuesj-1338	39	33	)	)	PUNCT
cuesj-1338	39	34	in	in	ADP
cuesj-1338	39	35	this	this	DET
cuesj-1338	39	36	instance	instance	NOUN
cuesj-1338	39	37	.	.	PUNCT
cuesj-1338	40	1	the	the	DET
cuesj-1338	40	2	elastic	elastic	ADJ
cuesj-1338	40	3	net	net	NOUN
cuesj-1338	40	4	has	have	AUX
cuesj-1338	40	5	turned	turn	VERB
cuesj-1338	40	6	out	out	ADP
cuesj-1338	40	7	to	to	PART
cuesj-1338	40	8	be	be	AUX
cuesj-1338	40	9	an	an	DET
cuesj-1338	40	10	effective	effective	ADJ
cuesj-1338	40	11	variable	variable	ADJ
cuesj-1338	40	12	selection	selection	NOUN
cuesj-1338	40	13	tool	tool	NOUN
cuesj-1338	40	14	in	in	ADP
cuesj-1338	40	15	situations	situation	NOUN
cuesj-1338	40	16	characterized	characterize	VERB
cuesj-1338	40	17	by	by	ADP
cuesj-1338	40	18	high	high	ADJ
cuesj-1338	40	19	dimensionality	dimensionality	NOUN
cuesj-1338	40	20	,	,	PUNCT
cuesj-1338	40	21	particularly	particularly	ADV
cuesj-1338	40	22	in	in	ADP
cuesj-1338	40	23	genomics	genomic	NOUN
cuesj-1338	40	24	and	and	CCONJ
cuesj-1338	40	25	other	other	ADJ
cuesj-1338	40	26	biomedical	biomedical	ADJ
cuesj-1338	40	27	fields.[14	fields.[14	PROPN
cuesj-1338	40	28	]	]	X
cuesj-1338	41	1	it	it	PRON
cuesj-1338	41	2	is	be	AUX
cuesj-1338	41	3	particularly	particularly	ADV
cuesj-1338	41	4	appropriate	appropriate	ADJ
cuesj-1338	41	5	for	for	ADP
cuesj-1338	41	6	gene	gene	NOUN
cuesj-1338	41	7	expression	expression	NOUN
cuesj-1338	41	8	data	datum	NOUN
cuesj-1338	41	9	that	that	PRON
cuesj-1338	41	10	has	have	VERB
cuesj-1338	41	11	such	such	ADJ
cuesj-1338	41	12	predictors	predictor	NOUN
cuesj-1338	41	13	because	because	SCONJ
cuesj-1338	41	14	genes	gene	NOUN
cuesj-1338	41	15	are	be	AUX
cuesj-1338	41	16	usually	usually	ADV
cuesj-1338	41	17	co	co	ADJ
cuesj-1338	41	18	-	-	VERB
cuesj-1338	41	19	regulated	regulated	ADJ
cuesj-1338	41	20	and	and	CCONJ
cuesj-1338	41	21	functionally	functionally	ADV
cuesj-1338	41	22	related	relate	VERB
cuesj-1338	41	23	.	.	PUNCT
cuesj-1338	42	1	the	the	DET
cuesj-1338	42	2	elastic	elastic	ADJ
cuesj-1338	42	3	net	net	NOUN
cuesj-1338	42	4	makes	make	VERB
cuesj-1338	42	5	use	use	NOUN
cuesj-1338	42	6	of	of	ADP
cuesj-1338	42	7	both	both	CCONJ
cuesj-1338	42	8	l1	l1	PROPN
cuesj-1338	42	9	and	and	CCONJ
cuesj-1338	42	10	l2	l2	NOUN
cuesj-1338	42	11	penalties	penalty	NOUN
cuesj-1338	42	12	and	and	CCONJ
cuesj-1338	42	13	thus	thus	ADV
cuesj-1338	42	14	allows	allow	VERB
cuesj-1338	42	15	coefficient	coefficient	NOUN
cuesj-1338	42	16	shrinkage	shrinkage	NOUN
cuesj-1338	42	17	to	to	ADP
cuesj-1338	42	18	a	a	DET
cuesj-1338	42	19	certain	certain	ADJ
cuesj-1338	42	20	level	level	NOUN
cuesj-1338	42	21	of	of	ADP
cuesj-1338	42	22	being	be	AUX
cuesj-1338	42	23	near	near	ADP
cuesj-1338	42	24	zero	zero	NUM
cuesj-1338	42	25	whilst	whilst	SCONJ
cuesj-1338	42	26	some	some	DET
cuesj-1338	42	27	relevant	relevant	ADJ
cuesj-1338	42	28	variables	variable	NOUN
cuesj-1338	42	29	are	be	AUX
cuesj-1338	42	30	still	still	ADV
cuesj-1338	42	31	able	able	ADJ
cuesj-1338	42	32	to	to	PART
cuesj-1338	42	33	be	be	AUX
cuesj-1338	42	34	selected	select	VERB
cuesj-1338	42	35	.	.	PUNCT
cuesj-1338	43	1	furthermore	furthermore	ADV
cuesj-1338	43	2	,	,	PUNCT
cuesj-1338	43	3	the	the	DET
cuesj-1338	43	4	elastic	elastic	ADJ
cuesj-1338	43	5	net	net	NOUN
cuesj-1338	43	6	has	have	AUX
cuesj-1338	43	7	been	be	AUX
cuesj-1338	43	8	proven	prove	VERB
cuesj-1338	43	9	useful	useful	ADJ
cuesj-1338	43	10	in	in	ADP
cuesj-1338	43	11	determining	determine	VERB
cuesj-1338	43	12	predictive	predictive	ADJ
cuesj-1338	43	13	gene	gene	NOUN
cuesj-1338	43	14	signatures	signature	NOUN
cuesj-1338	43	15	of	of	ADP
cuesj-1338	43	16	different	different	ADJ
cuesj-1338	43	17	cancers	cancer	NOUN
cuesj-1338	43	18	,	,	PUNCT
cuesj-1338	43	19	among	among	ADP
cuesj-1338	43	20	them	they	PRON
cuesj-1338	43	21	breast	breast	NOUN
cuesj-1338	43	22	cancer	cancer	NOUN
cuesj-1338	43	23	and	and	CCONJ
cuesj-1338	43	24	leukemia.[22	leukemia.[22	PROPN
cuesj-1338	43	25	]	]	X
cuesj-1338	43	26	its	its	PRON
cuesj-1338	43	27	use	use	NOUN
cuesj-1338	43	28	on	on	ADP
cuesj-1338	43	29	gene	gene	NOUN
cuesj-1338	43	30	expression	expression	NOUN
cuesj-1338	43	31	data	datum	NOUN
cuesj-1338	43	32	of	of	ADP
cuesj-1338	43	33	brain	brain	NOUN
cuesj-1338	43	34	cancers	cancer	NOUN
cuesj-1338	43	35	has	have	VERB
cuesj-1338	43	36	a	a	DET
cuesj-1338	43	37	great	great	ADJ
cuesj-1338	43	38	likelihood	likelihood	NOUN
cuesj-1338	43	39	of	of	ADP
cuesj-1338	43	40	helping	help	VERB
cuesj-1338	43	41	to	to	PART
cuesj-1338	43	42	uncover	uncover	VERB
cuesj-1338	43	43	significant	significant	ADJ
cuesj-1338	43	44	genes	gene	NOUN
cuesj-1338	43	45	responsible	responsible	ADJ
cuesj-1338	43	46	for	for	ADP
cuesj-1338	43	47	subtype	subtype	NOUN
cuesj-1338	43	48	change	change	NOUN
cuesj-1338	43	49	and	and	CCONJ
cuesj-1338	43	50	therefore	therefore	ADV
cuesj-1338	43	51	increasing	increase	VERB
cuesj-1338	43	52	prediction	prediction	NOUN
cuesj-1338	43	53	accuracy	accuracy	NOUN
cuesj-1338	43	54	.	.	PUNCT
cuesj-1338	44	1	mahmood	mahmood	PROPN
cuesj-1338	44	2	and	and	CCONJ
cuesj-1338	44	3	kadir	kadir	PROPN
cuesj-1338	44	4	:	:	PUNCT
cuesj-1338	44	5	elastic	elastic	ADJ
cuesj-1338	44	6	net	net	NOUN
cuesj-1338	44	7	for	for	ADP
cuesj-1338	44	8	brain	brain	NOUN
cuesj-1338	44	9	cancer	cancer	NOUN
cuesj-1338	44	10	genetics	genetic	NOUN
cuesj-1338	44	11	16	16	NUM
cuesj-1338	44	12	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	44	13	cuesj	cuesj	NOUN
cuesj-1338	44	14	2025	2025	NUM
cuesj-1338	44	15	,	,	PUNCT
cuesj-1338	44	16	9	9	NUM
cuesj-1338	44	17	(	(	PUNCT
cuesj-1338	44	18	1	1	NUM
cuesj-1338	44	19	):	):	PUNCT
cuesj-1338	44	20	14	14	NUM
cuesj-1338	44	21	-	-	SYM
cuesj-1338	44	22	23	23	NUM
cuesj-1338	44	23	materials	material	NOUN
cuesj-1338	44	24	and	and	CCONJ
cuesj-1338	44	25	methods	method	NOUN
cuesj-1338	44	26	acquisition	acquisition	NOUN
cuesj-1338	44	27	of	of	ADP
cuesj-1338	44	28	data	datum	NOUN
cuesj-1338	44	29	the	the	DET
cuesj-1338	44	30	dataset	dataset	NOUN
cuesj-1338	44	31	pertaining	pertain	VERB
cuesj-1338	44	32	to	to	ADP
cuesj-1338	44	33	brain	brain	NOUN
cuesj-1338	44	34	cancer	cancer	NOUN
cuesj-1338	44	35	which	which	PRON
cuesj-1338	44	36	was	be	AUX
cuesj-1338	44	37	used	use	VERB
cuesj-1338	44	38	in	in	ADP
cuesj-1338	44	39	this	this	DET
cuesj-1338	44	40	analysis	analysis	NOUN
cuesj-1338	44	41	originates	originate	NOUN
cuesj-1338	44	42	from	from	ADP
cuesj-1338	44	43	the	the	DET
cuesj-1338	44	44	curated	curate	VERB
cuesj-1338	44	45	microarray	microarray	NOUN
cuesj-1338	44	46	database	database	NOUN
cuesj-1338	44	47	(	(	PUNCT
cuesj-1338	44	48	cumida	cumida	PROPN
cuesj-1338	44	49	)	)	PUNCT
cuesj-1338	44	50	.	.	PUNCT
cuesj-1338	45	1	the	the	DET
cuesj-1338	45	2	dataset	dataset	NOUN
cuesj-1338	45	3	contains	contain	VERB
cuesj-1338	45	4	gene	gene	NOUN
cuesj-1338	45	5	expression	expression	NOUN
cuesj-1338	45	6	data	datum	NOUN
cuesj-1338	45	7	consisting	consist	VERB
cuesj-1338	45	8	of	of	ADP
cuesj-1338	45	9	16384	16384	NUM
cuesj-1338	45	10	gene	gene	NOUN
cuesj-1338	45	11	variables	variable	NOUN
cuesj-1338	45	12	in	in	ADP
cuesj-1338	45	13	130	130	NUM
cuesj-1338	45	14	samples	sample	NOUN
cuesj-1338	45	15	for	for	ADP
cuesj-1338	45	16	four	four	NUM
cuesj-1338	45	17	different	different	ADJ
cuesj-1338	45	18	types	type	NOUN
cuesj-1338	45	19	of	of	ADP
cuesj-1338	45	20	brain	brain	NOUN
cuesj-1338	45	21	cancer	cancer	NOUN
cuesj-1338	45	22	with	with	ADP
cuesj-1338	45	23	varying	vary	VERB
cuesj-1338	45	24	numbers	number	NOUN
cuesj-1338	45	25	of	of	ADP
cuesj-1338	45	26	observations	observation	NOUN
cuesj-1338	45	27	as	as	SCONJ
cuesj-1338	45	28	given	give	VERB
cuesj-1338	45	29	in	in	ADP
cuesj-1338	45	30	table	table	NOUN
cuesj-1338	45	31	1	1	NUM
cuesj-1338	45	32	.	.	PUNCT
cuesj-1338	45	33	data	datum	NOUN
cuesj-1338	45	34	preprocessing	preprocesse	VERB
cuesj-1338	45	35	the	the	DET
cuesj-1338	45	36	cumida	cumida	PROPN
cuesj-1338	45	37	database	database	NOUN
cuesj-1338	45	38	is	be	AUX
cuesj-1338	45	39	useful	useful	ADJ
cuesj-1338	45	40	in	in	ADP
cuesj-1338	45	41	the	the	DET
cuesj-1338	45	42	field	field	NOUN
cuesj-1338	45	43	of	of	ADP
cuesj-1338	45	44	machine	machine	NOUN
cuesj-1338	45	45	learning	learn	VERB
cuesj-1338	45	46	applications	application	NOUN
cuesj-1338	45	47	for	for	ADP
cuesj-1338	45	48	cancer	cancer	NOUN
cuesj-1338	45	49	research	research	NOUN
cuesj-1338	45	50	and	and	CCONJ
cuesj-1338	45	51	provides	provide	VERB
cuesj-1338	45	52	microarray	microarray	NOUN
cuesj-1338	45	53	-	-	PUNCT
cuesj-1338	45	54	based	base	VERB
cuesj-1338	45	55	standardized	standardized	ADJ
cuesj-1338	45	56	and	and	CCONJ
cuesj-1338	45	57	prepared	prepared	ADJ
cuesj-1338	45	58	datasets	dataset	NOUN
cuesj-1338	45	59	to	to	ADP
cuesj-1338	45	60	harness	harness	ADJ
cuesj-1338	45	61	computational	computational	ADJ
cuesj-1338	45	62	analyses	analysis	NOUN
cuesj-1338	45	63	.	.	PUNCT
cuesj-1338	46	1	every	every	DET
cuesj-1338	46	2	step	step	NOUN
cuesj-1338	46	3	was	be	AUX
cuesj-1338	46	4	performed	perform	VERB
cuesj-1338	46	5	carefully	carefully	ADV
cuesj-1338	46	6	during	during	ADP
cuesj-1338	46	7	the	the	DET
cuesj-1338	46	8	submission	submission	NOUN
cuesj-1338	46	9	of	of	ADP
cuesj-1338	46	10	the	the	DET
cuesj-1338	46	11	brain	brain	NOUN
cuesj-1338	46	12	cancer	cancer	NOUN
cuesj-1338	46	13	data	datum	NOUN
cuesj-1338	46	14	set	set	VERB
cuesj-1338	46	15	for	for	ADP
cuesj-1338	46	16	background	background	NOUN
cuesj-1338	46	17	correction	correction	NOUN
cuesj-1338	46	18	and	and	CCONJ
cuesj-1338	46	19	removal	removal	NOUN
cuesj-1338	46	20	of	of	ADP
cuesj-1338	46	21	any	any	DET
cuesj-1338	46	22	inaccurate	inaccurate	ADJ
cuesj-1338	46	23	probes	probe	NOUN
cuesj-1338	46	24	,	,	PUNCT
cuesj-1338	46	25	thus	thus	ADV
cuesj-1338	46	26	guaranteeing	guarantee	VERB
cuesj-1338	46	27	a	a	DET
cuesj-1338	46	28	robust	robust	ADJ
cuesj-1338	46	29	as	as	ADV
cuesj-1338	46	30	well	well	ADV
cuesj-1338	46	31	as	as	ADP
cuesj-1338	46	32	a	a	DET
cuesj-1338	46	33	reliable	reliable	ADJ
cuesj-1338	46	34	analysis	analysis	NOUN
cuesj-1338	46	35	process	process	NOUN
cuesj-1338	46	36	.	.	PUNCT
cuesj-1338	47	1	study	study	NOUN
cuesj-1338	47	2	design	design	VERB
cuesj-1338	47	3	the	the	DET
cuesj-1338	47	4	purpose	purpose	NOUN
cuesj-1338	47	5	of	of	ADP
cuesj-1338	47	6	the	the	DET
cuesj-1338	47	7	research	research	NOUN
cuesj-1338	47	8	was	be	AUX
cuesj-1338	47	9	to	to	PART
cuesj-1338	47	10	develop	develop	VERB
cuesj-1338	47	11	a	a	DET
cuesj-1338	47	12	sparse	sparse	ADJ
cuesj-1338	47	13	multinomial	multinomial	ADJ
cuesj-1338	47	14	logistic	logistic	ADJ
cuesj-1338	47	15	regression	regression	NOUN
cuesj-1338	47	16	model	model	NOUN
cuesj-1338	47	17	and	and	CCONJ
cuesj-1338	47	18	test	test	VERB
cuesj-1338	47	19	its	its	PRON
cuesj-1338	47	20	possible	possible	ADJ
cuesj-1338	47	21	application	application	NOUN
cuesj-1338	47	22	in	in	ADP
cuesj-1338	47	23	classifying	classify	VERB
cuesj-1338	47	24	the	the	DET
cuesj-1338	47	25	brain	brain	NOUN
cuesj-1338	47	26	cancer	cancer	NOUN
cuesj-1338	47	27	subtypes	subtype	NOUN
cuesj-1338	47	28	with	with	ADP
cuesj-1338	47	29	the	the	DET
cuesj-1338	47	30	help	help	NOUN
cuesj-1338	47	31	of	of	ADP
cuesj-1338	47	32	elastic	elastic	ADJ
cuesj-1338	47	33	net	net	ADJ
cuesj-1338	47	34	shrinkage	shrinkage	NOUN
cuesj-1338	47	35	methods	method	NOUN
cuesj-1338	47	36	to	to	PART
cuesj-1338	47	37	resolve	resolve	VERB
cuesj-1338	47	38	the	the	DET
cuesj-1338	47	39	overfitting	overfitte	VERB
cuesj-1338	47	40	issues	issue	NOUN
cuesj-1338	47	41	and	and	CCONJ
cuesj-1338	47	42	cope	cope	VERB
cuesj-1338	47	43	with	with	ADP
cuesj-1338	47	44	a	a	DET
cuesj-1338	47	45	great	great	ADJ
cuesj-1338	47	46	number	number	NOUN
cuesj-1338	47	47	of	of	ADP
cuesj-1338	47	48	gene	gene	NOUN
cuesj-1338	47	49	expression	expression	NOUN
cuesj-1338	47	50	data	datum	NOUN
cuesj-1338	47	51	independent	independent	ADJ
cuesj-1338	47	52	variables	variable	NOUN
cuesj-1338	47	53	.	.	PUNCT
cuesj-1338	48	1	several	several	ADJ
cuesj-1338	48	2	assessment	assessment	NOUN
cuesj-1338	48	3	metrics	metric	NOUN
cuesj-1338	48	4	were	be	AUX
cuesj-1338	48	5	used	use	VERB
cuesj-1338	48	6	for	for	ADP
cuesj-1338	48	7	the	the	DET
cuesj-1338	48	8	comprehensive	comprehensive	ADJ
cuesj-1338	48	9	evaluation	evaluation	NOUN
cuesj-1338	48	10	of	of	ADP
cuesj-1338	48	11	how	how	SCONJ
cuesj-1338	48	12	well	well	ADV
cuesj-1338	48	13	the	the	DET
cuesj-1338	48	14	models	model	NOUN
cuesj-1338	48	15	performed	perform	VERB
cuesj-1338	48	16	such	such	ADJ
cuesj-1338	48	17	as	as	ADP
cuesj-1338	48	18	accuracy	accuracy	NOUN
cuesj-1338	48	19	,	,	PUNCT
cuesj-1338	48	20	kappa	kappa	PROPN
cuesj-1338	48	21	statistics	statistics	PROPN
cuesj-1338	48	22	,	,	PUNCT
cuesj-1338	48	23	area	area	NOUN
cuesj-1338	48	24	under	under	ADP
cuesj-1338	48	25	the	the	DET
cuesj-1338	48	26	curve	curve	NOUN
cuesj-1338	48	27	(	(	PUNCT
cuesj-1338	48	28	auc	auc	NOUN
cuesj-1338	48	29	)	)	PUNCT
cuesj-1338	48	30	,	,	PUNCT
cuesj-1338	48	31	and	and	CCONJ
cuesj-1338	48	32	f1	f1	NOUN
cuesj-1338	48	33	-	-	PUNCT
cuesj-1338	48	34	score	score	NOUN
cuesj-1338	48	35	.	.	PUNCT
cuesj-1338	49	1	k	k	ADJ
cuesj-1338	49	2	-	-	ADJ
cuesj-1338	49	3	fold	fold	ADJ
cuesj-1338	49	4	cross	cross	NOUN
cuesj-1338	49	5	-	-	NOUN
cuesj-1338	49	6	validation	validation	NOUN
cuesj-1338	49	7	has	have	AUX
cuesj-1338	49	8	also	also	ADV
cuesj-1338	49	9	been	be	AUX
cuesj-1338	49	10	applied	apply	VERB
cuesj-1338	49	11	for	for	ADP
cuesj-1338	49	12	the	the	DET
cuesj-1338	49	13	purpose	purpose	NOUN
cuesj-1338	49	14	of	of	ADP
cuesj-1338	49	15	more	more	ADV
cuesj-1338	49	16	reliable	reliable	ADJ
cuesj-1338	49	17	estimation	estimation	NOUN
cuesj-1338	49	18	by	by	ADP
cuesj-1338	49	19	eliminating	eliminate	VERB
cuesj-1338	49	20	bias	bias	NOUN
cuesj-1338	49	21	or	or	CCONJ
cuesj-1338	49	22	variance	variance	NOUN
cuesj-1338	49	23	which	which	PRON
cuesj-1338	49	24	are	be	AUX
cuesj-1338	49	25	factors	factor	NOUN
cuesj-1338	49	26	during	during	ADP
cuesj-1338	49	27	fitting	fitting	ADJ
cuesj-1338	49	28	models	model	NOUN
cuesj-1338	49	29	which	which	PRON
cuesj-1338	49	30	may	may	AUX
cuesj-1338	49	31	result	result	VERB
cuesj-1338	49	32	from	from	ADP
cuesj-1338	49	33	employing	employ	VERB
cuesj-1338	49	34	only	only	ADV
cuesj-1338	49	35	one	one	NUM
cuesj-1338	49	36	random	random	ADJ
cuesj-1338	49	37	sampling	sampling	NOUN
cuesj-1338	49	38	split	split	NOUN
cuesj-1338	49	39	.	.	PUNCT
cuesj-1338	50	1	in	in	ADP
cuesj-1338	50	2	addition	addition	NOUN
cuesj-1338	50	3	,	,	PUNCT
cuesj-1338	50	4	r	r	NOUN
cuesj-1338	50	5	programming	programming	NOUN
cuesj-1338	50	6	was	be	AUX
cuesj-1338	50	7	used	use	VERB
cuesj-1338	50	8	to	to	PART
cuesj-1338	50	9	develop	develop	VERB
cuesj-1338	50	10	these	these	DET
cuesj-1338	50	11	models	model	NOUN
cuesj-1338	50	12	.	.	PUNCT
cuesj-1338	51	1	model	model	NOUN
cuesj-1338	51	2	development	development	NOUN
cuesj-1338	51	3	for	for	ADP
cuesj-1338	51	4	a	a	DET
cuesj-1338	51	5	binary	binary	ADJ
cuesj-1338	51	6	logistic	logistic	ADJ
cuesj-1338	51	7	model	model	NOUN
cuesj-1338	51	8	with	with	ADP
cuesj-1338	51	9	two	two	NUM
cuesj-1338	51	10	classes	class	NOUN
cuesj-1338	51	11	(	(	PUNCT
cuesj-1338	51	12	0	0	NUM
cuesj-1338	51	13	and	and	CCONJ
cuesj-1338	51	14	1	1	NUM
cuesj-1338	51	15	)	)	PUNCT
cuesj-1338	51	16	,	,	PUNCT
cuesj-1338	51	17	the	the	DET
cuesj-1338	51	18	probability	probability	NOUN
cuesj-1338	51	19	of	of	ADP
cuesj-1338	51	20	class	class	NOUN
cuesj-1338	51	21	1	1	NUM
cuesj-1338	51	22	given	give	VERB
cuesj-1338	51	23	the	the	DET
cuesj-1338	51	24	features	feature	NOUN
cuesj-1338	51	25	is	be	AUX
cuesj-1338	51	26	modeled	model	VERB
cuesj-1338	51	27	as	as	ADP
cuesj-1338	51	28	:	:	PUNCT
cuesj-1338	51	29	p	p	X
cuesj-1338	51	30	y	y	NOUN
cuesj-1338	51	31	x	x	PUNCT
cuesj-1338	51	32	e	e	X
cuesj-1338	51	33	e	e	PROPN
cuesj-1338	51	34	t	t	PROPN
cuesj-1338	51	35	x	x	PROPN
cuesj-1338	51	36	t	t	NOUN
cuesj-1338	51	37	x	x	SYM
cuesj-1338	51	38	(	(	PUNCT
cuesj-1338	51	39	/	/	SYM
cuesj-1338	51	40	)	)	PUNCT
cuesj-1338	51	41	�	�	PROPN
cuesj-1338	51	42	�	�	PROPN
cuesj-1338	51	43	�	�	PROPN
cuesj-1338	51	44	�	�	PROPN
cuesj-1338	51	45	�	�	PROPN
cuesj-1338	51	46	1	1	NUM
cuesj-1338	51	47	1	1	NUM
cuesj-1338	51	48	0	0	NUM
cuesj-1338	51	49	0	0	NUM
cuesj-1338	51	50	�	�	PROPN
cuesj-1338	51	51	�	�	PROPN
cuesj-1338	51	52	�	�	PROPN
cuesj-1338	51	53	�	�	PROPN
cuesj-1338	51	54	the	the	DET
cuesj-1338	51	55	probability	probability	NOUN
cuesj-1338	51	56	of	of	ADP
cuesj-1338	51	57	class	class	NOUN
cuesj-1338	51	58	0	0	NUM
cuesj-1338	51	59	is	be	AUX
cuesj-1338	51	60	:	:	PUNCT
cuesj-1338	51	61	p	p	X
cuesj-1338	51	62	y	y	PROPN
cuesj-1338	51	63	x	x	PUNCT
cuesj-1338	51	64	e	e	NOUN
cuesj-1338	51	65	t	t	NOUN
cuesj-1338	51	66	x	x	SYM
cuesj-1338	51	67	(	(	PUNCT
cuesj-1338	51	68	/	/	SYM
cuesj-1338	51	69	)	)	PUNCT
cuesj-1338	51	70	�	�	PROPN
cuesj-1338	51	71	�	�	PROPN
cuesj-1338	51	72	�	�	PROPN
cuesj-1338	51	73	�	�	PROPN
cuesj-1338	51	74	0	0	NUM
cuesj-1338	51	75	1	1	NUM
cuesj-1338	51	76	1	1	NUM
cuesj-1338	51	77	0	0	NUM
cuesj-1338	51	78	�	�	PROPN
cuesj-1338	51	79	�	�	PROPN
cuesj-1338	51	80	where	where	SCONJ
cuesj-1338	51	81	y	y	PROPN
cuesj-1338	51	82	and	and	CCONJ
cuesj-1338	51	83	x	x	PRON
cuesj-1338	51	84	are	be	AUX
cuesj-1338	51	85	dependent	dependent	ADJ
cuesj-1338	51	86	and	and	CCONJ
cuesj-1338	51	87	independent	independent	ADJ
cuesj-1338	51	88	variables	variable	NOUN
cuesj-1338	51	89	,	,	PUNCT
cuesj-1338	51	90	respectively	respectively	ADV
cuesj-1338	51	91	,	,	PUNCT
cuesj-1338	51	92	and	and	CCONJ
cuesj-1338	51	93	β0	β0	NOUN
cuesj-1338	51	94	is	be	AUX
cuesj-1338	51	95	intercepted	intercept	VERB
cuesj-1338	51	96	β	β	X
cuesj-1338	51	97	=	=	SYM
cuesj-1338	51	98	β1	β1	PROPN
cuesj-1338	51	99	,	,	PUNCT
cuesj-1338	51	100	β2	β2	NOUN
cuesj-1338	51	101	,	,	PUNCT
cuesj-1338	51	102	…	…	PUNCT
cuesj-1338	51	103	)	)	PUNCT
cuesj-1338	51	104	a	a	DET
cuesj-1338	51	105	multinomial	multinomial	ADJ
cuesj-1338	51	106	logistic	logistic	ADJ
cuesj-1338	51	107	model	model	NOUN
cuesj-1338	51	108	is	be	AUX
cuesj-1338	51	109	a	a	DET
cuesj-1338	51	110	broader	broad	ADJ
cuesj-1338	51	111	form	form	NOUN
cuesj-1338	51	112	of	of	ADP
cuesj-1338	51	113	logistic	logistic	ADJ
cuesj-1338	51	114	regression	regression	NOUN
cuesj-1338	51	115	model	model	NOUN
cuesj-1338	51	116	useful	useful	ADJ
cuesj-1338	51	117	when	when	SCONJ
cuesj-1338	51	118	there	there	PRON
cuesj-1338	51	119	is	be	VERB
cuesj-1338	51	120	one	one	NUM
cuesj-1338	51	121	dependent	dependent	ADJ
cuesj-1338	51	122	variable	variable	NOUN
cuesj-1338	51	123	with	with	ADP
cuesj-1338	51	124	more	more	ADJ
cuesj-1338	51	125	than	than	ADP
cuesj-1338	51	126	two	two	NUM
cuesj-1338	51	127	categories.[23	categories.[23	PROPN
cuesj-1338	51	128	]	]	X
cuesj-1338	51	129	the	the	DET
cuesj-1338	51	130	probability	probability	NOUN
cuesj-1338	51	131	for	for	ADP
cuesj-1338	51	132	classes	class	NOUN
cuesj-1338	51	133	k	k	NOUN
cuesj-1338	52	1	=	=	SYM
cuesj-1338	52	2	1	1	NUM
cuesj-1338	52	3	,	,	PUNCT
cuesj-1338	52	4	2	2	NUM
cuesj-1338	52	5	,	,	PUNCT
cuesj-1338	52	6	…	…	PUNCT
cuesj-1338	52	7	,	,	PUNCT
cuesj-1338	52	8	k-1	k-1	PROPN
cuesj-1338	52	9	is	be	AUX
cuesj-1338	52	10	:	:	PUNCT
cuesj-1338	52	11	p	p	X
cuesj-1338	52	12	y	y	PROPN
cuesj-1338	52	13	k	k	NOUN
cuesj-1338	52	14	x	x	PUNCT
cuesj-1338	52	15	e	e	X
cuesj-1338	52	16	e	e	X
cuesj-1338	52	17	k	k	PROPN
cuesj-1338	52	18	k	k	PROPN
cuesj-1338	52	19	t	t	PROPN
cuesj-1338	53	1	x	x	X
cuesj-1338	53	2	j	j	PROPN
cuesj-1338	54	1	k	k	PROPN
cuesj-1338	54	2	j	j	PROPN
cuesj-1338	54	3	j	j	PROPN
cuesj-1338	54	4	t	t	PROPN
cuesj-1338	54	5	x	x	PROPN
cuesj-1338	54	6	(	(	PUNCT
cuesj-1338	54	7	/	/	SYM
cuesj-1338	54	8	)	)	PUNCT
cuesj-1338	54	9	�	�	PROPN
cuesj-1338	54	10	�	�	PROPN
cuesj-1338	54	11	�	�	PROPN
cuesj-1338	54	12	�	�	PROPN
cuesj-1338	54	13	�	�	PROPN
cuesj-1338	54	14	�	�	PROPN
cuesj-1338	54	15	�	�	PROPN
cuesj-1338	54	16	�	�	PROPN
cuesj-1338	54	17	�	�	PROPN
cuesj-1338	54	18	�	�	PROPN
cuesj-1338	54	19	�	�	PROPN
cuesj-1338	54	20	�	�	PROPN
cuesj-1338	54	21	0	0	NUM
cuesj-1338	54	22	1	1	NUM
cuesj-1338	54	23	1	1	NUM
cuesj-1338	54	24	01	01	NUM
cuesj-1338	54	25	for	for	ADP
cuesj-1338	54	26	the	the	DET
cuesj-1338	54	27	kth	kth	PROPN
cuesj-1338	54	28	class	class	NOUN
cuesj-1338	54	29	(	(	PUNCT
cuesj-1338	54	30	as	as	ADP
cuesj-1338	54	31	the	the	DET
cuesj-1338	54	32	reference	reference	NOUN
cuesj-1338	54	33	class	class	NOUN
cuesj-1338	54	34	)	)	PUNCT
cuesj-1338	54	35	,	,	PUNCT
cuesj-1338	54	36	the	the	DET
cuesj-1338	54	37	probability	probability	NOUN
cuesj-1338	54	38	is	be	AUX
cuesj-1338	54	39	:	:	PUNCT
cuesj-1338	54	40	p	p	X
cuesj-1338	54	41	y	y	PROPN
cuesj-1338	55	1	k	k	NOUN
cuesj-1338	56	1	x	x	PUNCT
cuesj-1338	56	2	e	e	X
cuesj-1338	56	3	j	j	PROPN
cuesj-1338	56	4	k	k	PROPN
cuesj-1338	56	5	j	j	PROPN
cuesj-1338	56	6	j	j	PROPN
cuesj-1338	56	7	t	t	PROPN
cuesj-1338	56	8	x	x	PROPN
cuesj-1338	56	9	(	(	PUNCT
cuesj-1338	56	10	/	/	SYM
cuesj-1338	56	11	)	)	PUNCT
cuesj-1338	56	12	�	�	PROPN
cuesj-1338	56	13	�	�	PROPN
cuesj-1338	56	14	�	�	PROPN
cuesj-1338	56	15	�	�	PROPN
cuesj-1338	56	16	�	�	PROPN
cuesj-1338	56	17	�	�	PROPN
cuesj-1338	56	18	�	�	PROPN
cuesj-1338	56	19	1	1	NUM
cuesj-1338	56	20	1	1	NUM
cuesj-1338	56	21	1	1	NUM
cuesj-1338	56	22	1	1	NUM
cuesj-1338	56	23	0	0	NUM
cuesj-1338	56	24	�	�	PROPN
cuesj-1338	56	25	�	�	PROPN
cuesj-1338	56	26	these	these	DET
cuesj-1338	56	27	probabilities	probability	NOUN
cuesj-1338	56	28	ensure	ensure	VERB
cuesj-1338	56	29	that	that	SCONJ
cuesj-1338	56	30	the	the	DET
cuesj-1338	56	31	sum	sum	NOUN
cuesj-1338	56	32	over	over	ADP
cuesj-1338	56	33	all	all	DET
cuesj-1338	56	34	classes	class	NOUN
cuesj-1338	56	35	is	be	AUX
cuesj-1338	56	36	1	1	NUM
cuesj-1338	56	37	:	:	PUNCT
cuesj-1338	56	38	k	k	PROPN
cuesj-1338	57	1	k	k	PROPN
cuesj-1338	58	1	i	i	PRON
cuesj-1338	58	2	ip	ip	VERB
cuesj-1338	58	3	y	y	PROPN
cuesj-1338	58	4	k	k	PROPN
cuesj-1338	58	5	x	x	PROPN
cuesj-1338	58	6	�	�	PROPN
cuesj-1338	58	7	�	�	PROPN
cuesj-1338	58	8	�	�	PROPN
cuesj-1338	58	9	�	�	PROPN
cuesj-1338	58	10	1	1	NUM
cuesj-1338	58	11	1	1	NUM
cuesj-1338	58	12	(	(	PUNCT
cuesj-1338	58	13	/	/	SYM
cuesj-1338	58	14	)	)	PUNCT
cuesj-1338	58	15	combining	combine	VERB
cuesj-1338	58	16	the	the	DET
cuesj-1338	58	17	above	above	NOUN
cuesj-1338	58	18	,	,	PUNCT
cuesj-1338	58	19	for	for	ADP
cuesj-1338	58	20	each	each	DET
cuesj-1338	58	21	class	class	NOUN
cuesj-1338	58	22	k	k	PROPN
cuesj-1338	58	23	(	(	PUNCT
cuesj-1338	58	24	including	include	VERB
cuesj-1338	58	25	the	the	DET
cuesj-1338	58	26	reference	reference	NOUN
cuesj-1338	58	27	class	class	NOUN
cuesj-1338	58	28	k	k	PROPN
cuesj-1338	58	29	)	)	PUNCT
cuesj-1338	58	30	0	0	NUM
cuesj-1338	58	31	1	1	NUM
cuesj-1338	58	32	0	0	NUM
cuesj-1338	58	33	1	1	NUM
cuesj-1338	58	34	1	1	NUM
cuesj-1338	58	35	0	0	NUM
cuesj-1338	58	36	1	1	NUM
cuesj-1338	58	37	,	,	PUNCT
cuesj-1338	58	38	1,2,3	1,2,3	NUM
cuesj-1338	58	39	,	,	PUNCT
cuesj-1338	58	40	,	,	PUNCT
cuesj-1338	58	41	1	1	NUM
cuesj-1338	58	42	1	1	NUM
cuesj-1338	58	43	(	(	PUNCT
cuesj-1338	58	44	/	/	SYM
cuesj-1338	58	45	)	)	PUNCT
cuesj-1338	58	46	1	1	NUM
cuesj-1338	58	47	,	,	PUNCT
cuesj-1338	58	48	1	1	NUM
cuesj-1338	58	49	t	t	NOUN
cuesj-1338	58	50	xk	xk	PROPN
cuesj-1338	58	51	k	k	PROPN
cuesj-1338	58	52	k	k	PROPN
cuesj-1338	58	53	t	t	PROPN
cuesj-1338	58	54	xj	xj	PROPN
cuesj-1338	59	1	j	j	PROPN
cuesj-1338	59	2	j	j	PROPN
cuesj-1338	59	3	k	k	PROPN
cuesj-1338	59	4	t	t	PROPN
cuesj-1338	59	5	xj	xj	PROPN
cuesj-1338	60	1	j	j	PROPN
cuesj-1338	60	2	j	j	PROPN
cuesj-1338	60	3	e	e	PROPN
cuesj-1338	60	4	k	k	PROPN
cuesj-1338	60	5	k	k	PROPN
cuesj-1338	60	6	e	e	PROPN
cuesj-1338	60	7	p	p	PROPN
cuesj-1338	60	8	y	y	PROPN
cuesj-1338	60	9	k	k	PROPN
cuesj-1338	60	10	x	x	PUNCT
cuesj-1338	60	11	k	k	PROPN
cuesj-1338	60	12	k	k	PROPN
cuesj-1338	60	13	e	e	PROPN
cuesj-1338	60	14	β	β	X
cuesj-1338	60	15	β	β	X
cuesj-1338	60	16	β	β	X
cuesj-1338	60	17	β	β	X
cuesj-1338	60	18	β	β	X
cuesj-1338	60	19	β	β	NOUN
cuesj-1338	60	20	+	+	CCONJ
cuesj-1338	60	21	−	−	PROPN
cuesj-1338	61	1	+	+	CCONJ
cuesj-1338	61	2	=	=	SYM
cuesj-1338	61	3	−	−	PROPN
cuesj-1338	62	1	+	+	CCONJ
cuesj-1338	62	2	=	=	PUNCT
cuesj-1338	62	3			ADJ
cuesj-1338	62	4			NOUN
cuesj-1338	62	5	=	=	SYM
cuesj-1338	62	6	…	…	PUNCT
cuesj-1338	62	7	−	−	PRON
cuesj-1338	62	8			ADJ
cuesj-1338	63	1	+	+	PROPN
cuesj-1338	63	2	=	=	X
cuesj-1338	63	3	=	=	X
cuesj-1338	63	4			PRON
cuesj-1338	63	5			ADJ
cuesj-1338	63	6	=	=	SYM
cuesj-1338	63	7			ADJ
cuesj-1338	63	8	+	+	ADJ
cuesj-1338	63	9			NOUN
cuesj-1338	63	10	∑	∑	PUNCT
cuesj-1338	63	11	∑	∑	ADV
cuesj-1338	63	12	here	here	ADV
cuesj-1338	63	13	,	,	PUNCT
cuesj-1338	63	14	β0k	β0k	PROPN
cuesj-1338	63	15	is	be	AUX
cuesj-1338	63	16	the	the	DET
cuesj-1338	63	17	intercept	intercept	NOUN
cuesj-1338	63	18	for	for	ADP
cuesj-1338	63	19	class	class	NOUN
cuesj-1338	63	20	k	k	PROPN
cuesj-1338	63	21	,	,	PUNCT
cuesj-1338	63	22	and	and	CCONJ
cuesj-1338	63	23	βk	βk	NOUN
cuesj-1338	63	24	is	be	AUX
cuesj-1338	63	25	the	the	DET
cuesj-1338	63	26	vector	vector	NOUN
cuesj-1338	63	27	of	of	ADP
cuesj-1338	63	28	coefficients	coefficient	NOUN
cuesj-1338	63	29	for	for	ADP
cuesj-1338	63	30	independent	independent	ADJ
cuesj-1338	63	31	variables	variable	NOUN
cuesj-1338	63	32	.	.	PUNCT
cuesj-1338	64	1	the	the	DET
cuesj-1338	64	2	likelihood	likelihood	NOUN
cuesj-1338	64	3	function	function	NOUN
cuesj-1338	64	4	for	for	ADP
cuesj-1338	64	5	the	the	DET
cuesj-1338	64	6	entire	entire	ADJ
cuesj-1338	64	7	dataset	dataset	NOUN
cuesj-1338	64	8	,	,	PUNCT
cuesj-1338	64	9	assuming	assume	VERB
cuesj-1338	64	10	n	n	PRON
cuesj-1338	64	11	independent	independent	ADJ
cuesj-1338	64	12	observations	observation	NOUN
cuesj-1338	64	13	,	,	PUNCT
cuesj-1338	64	14	is	be	AUX
cuesj-1338	64	15	the	the	DET
cuesj-1338	64	16	product	product	NOUN
cuesj-1338	64	17	of	of	ADP
cuesj-1338	64	18	the	the	DET
cuesj-1338	64	19	individual	individual	ADJ
cuesj-1338	64	20	probabilities	probability	NOUN
cuesj-1338	64	21	:	:	PUNCT
cuesj-1338	65	1	l	l	X
cuesj-1338	65	2	p	p	X
cuesj-1338	65	3	y	y	PROPN
cuesj-1338	65	4	k	k	PROPN
cuesj-1338	66	1	x	x	VERB
cuesj-1338	67	1	i	i	PRON
cuesj-1338	68	1	n	n	VERB
cuesj-1338	69	1	i	i	PRON
cuesj-1338	70	1	i	i	PROPN
cuesj-1338	70	2	�	�	PROPN
cuesj-1338	70	3	�	�	PROPN
cuesj-1338	70	4	�	�	PROPN
cuesj-1338	70	5	�	�	PROPN
cuesj-1338	70	6	�	�	PROPN
cuesj-1338	70	7	�	�	PROPN
cuesj-1338	70	8	�	�	PROPN
cuesj-1338	70	9	1	1	NUM
cuesj-1338	70	10	(	(	PUNCT
cuesj-1338	70	11	/	/	SYM
cuesj-1338	70	12	)	)	PUNCT
cuesj-1338	70	13	it	it	PRON
cuesj-1338	70	14	can	can	AUX
cuesj-1338	70	15	be	be	AUX
cuesj-1338	70	16	written	write	VERB
cuesj-1338	70	17	as	as	ADP
cuesj-1338	70	18	below	below	ADV
cuesj-1338	70	19	:	:	PUNCT
cuesj-1338	71	1	l	l	NOUN
cuesj-1338	71	2	e	e	X
cuesj-1338	71	3	ei	ei	X
cuesj-1338	71	4	n	n	PROPN
cuesj-1338	71	5	k	k	PROPN
cuesj-1338	71	6	k	k	PROPN
cuesj-1338	71	7	k	k	PROPN
cuesj-1338	71	8	k	k	PROPN
cuesj-1338	71	9	t	t	PROPN
cuesj-1338	71	10	xi	xi	X
cuesj-1338	72	1	j	j	PROPN
cuesj-1338	72	2	k	k	PROPN
cuesj-1338	72	3	j	j	PROPN
cuesj-1338	73	1	j	j	PROPN
cuesj-1338	73	2	t	t	PROPN
cuesj-1338	73	3	xi	xi	PROPN
cuesj-1338	73	4	yi	yi	PROPN
cuesj-1338	73	5	k	k	PROPN
cuesj-1338	73	6	�	�	PROPN
cuesj-1338	73	7	�	�	PROPN
cuesj-1338	73	8	�	�	PROPN
cuesj-1338	73	9	�	�	PROPN
cuesj-1338	73	10	�	�	PROPN
cuesj-1338	73	11	�	�	PROPN
cuesj-1338	73	12	�	�	PROPN
cuesj-1338	73	13	�	�	PROPN
cuesj-1338	73	14	�	�	PROPN
cuesj-1338	73	15	�	�	PROPN
cuesj-1338	73	16	�	�	PROPN
cuesj-1338	73	17	�	�	PROPN
cuesj-1338	73	18	�	�	PROPN
cuesj-1338	73	19	�	�	PROPN
cuesj-1338	73	20	�	�	PROPN
cuesj-1338	73	21	�	�	PROPN
cuesj-1338	73	22	�	�	PROPN
cuesj-1338	73	23	�	�	PROPN
cuesj-1338	73	24	�	�	PROPN
cuesj-1338	73	25	�	�	PROPN
cuesj-1338	73	26	�	�	PROPN
cuesj-1338	73	27	�	�	PROPN
cuesj-1338	73	28	�	�	PROPN
cuesj-1338	73	29	�	�	PROPN
cuesj-1338	73	30	�	�	PROPN
cuesj-1338	73	31	�	�	PROPN
cuesj-1338	73	32	�	�	PROPN
cuesj-1338	73	33	1	1	NUM
cuesj-1338	73	34	1	1	NUM
cuesj-1338	73	35	0	0	NUM
cuesj-1338	73	36	1	1	NUM
cuesj-1338	73	37	0	0	NUM
cuesj-1338	73	38	1	1	NUM
cuesj-1338	73	39	(	(	PUNCT
cuesj-1338	73	40	)	)	PUNCT
cuesj-1338	73	41	(	(	PUNCT
cuesj-1338	73	42	1	1	X
cuesj-1338	73	43	)	)	PUNCT
cuesj-1338	73	44	the	the	DET
cuesj-1338	73	45	indicator	indicator	NOUN
cuesj-1338	73	46	function	function	NOUN
cuesj-1338	73	47	of	of	ADP
cuesj-1338	73	48	(	(	PUNCT
cuesj-1338	73	49	)	)	PUNCT
cuesj-1338	73	50	=	=	NOUN
cuesj-1338	73	51			NOUN
cuesj-1338	73	52	=	=	SYM
cuesj-1338	73	53	=	=	PUNCT
cuesj-1338	73	54			PRON
cuesj-1338	73	55			ADJ
cuesj-1338	73	56	1	1	NUM
cuesj-1338	73	57	        	        	SPACE
cuesj-1338	73	58	1	1	NUM
cuesj-1338	73	59	0	0	NUM
cuesj-1338	73	60	     	     	SPACE
cuesj-1338	74	1	i	i	PRON
cuesj-1338	74	2	i	i	PRON
cuesj-1338	75	1	if	if	SCONJ
cuesj-1338	75	2	y	y	PROPN
cuesj-1338	75	3	k	k	PROPN
cuesj-1338	75	4	y	y	PROPN
cuesj-1338	75	5	k	k	PROPN
cuesj-1338	75	6	otherwise	otherwise	ADV
cuesj-1338	75	7	the	the	DET
cuesj-1338	75	8	log	log	NOUN
cuesj-1338	75	9	-	-	PUNCT
cuesj-1338	75	10	likelihood	likelihood	NOUN
cuesj-1338	75	11	function	function	NOUN
cuesj-1338	75	12	is	be	AUX
cuesj-1338	75	13	obtained	obtain	VERB
cuesj-1338	75	14	by	by	ADP
cuesj-1338	75	15	taking	take	VERB
cuesj-1338	75	16	the	the	DET
cuesj-1338	75	17	logarithm	logarithm	NOUN
cuesj-1338	75	18	of	of	ADP
cuesj-1338	75	19	the	the	DET
cuesj-1338	75	20	likelihood	likelihood	NOUN
cuesj-1338	75	21	function	function	NOUN
cuesj-1338	75	22	by	by	ADP
cuesj-1338	75	23	taking	take	VERB
cuesj-1338	75	24	the	the	DET
cuesj-1338	75	25	natural	natural	ADJ
cuesj-1338	75	26	logarithm	logarithm	NOUN
cuesj-1338	75	27	of	of	ADP
cuesj-1338	75	28	equation	equation	NOUN
cuesj-1338	75	29	(	(	PUNCT
cuesj-1338	75	30	1).[24	1).[24	NUM
cuesj-1338	75	31	]	]	PUNCT
cuesj-1338	75	32	log	log	NOUN
cuesj-1338	75	33	logl	logl	NOUN
cuesj-1338	75	34	y	y	PROPN
cuesj-1338	75	35	k	k	PROPN
cuesj-1338	75	36	e	e	PROPN
cuesj-1338	75	37	ei	ei	NOUN
cuesj-1338	75	38	n	n	PROPN
cuesj-1338	75	39	k	k	PROPN
cuesj-1338	76	1	k	k	PROPN
cuesj-1338	77	1	i	i	PRON
cuesj-1338	77	2	k	k	PROPN
cuesj-1338	78	1	k	k	PROPN
cuesj-1338	78	2	t	t	PROPN
cuesj-1338	78	3	xi	xi	X
cuesj-1338	79	1	j	j	PROPN
cuesj-1338	79	2	k	k	PROPN
cuesj-1338	79	3	j	j	PROPN
cuesj-1338	79	4	j	j	PROPN
cuesj-1338	79	5	t	t	PROPN
cuesj-1338	79	6	xi	xi	PROPN
cuesj-1338	79	7	�	�	PROPN
cuesj-1338	79	8	�	�	PROPN
cuesj-1338	79	9	�	�	PROPN
cuesj-1338	79	10	�	�	PROPN
cuesj-1338	79	11	�	�	PROPN
cuesj-1338	79	12	�	�	PROPN
cuesj-1338	79	13	�	�	PROPN
cuesj-1338	79	14	�	�	PROPN
cuesj-1338	79	15	�	�	PROPN
cuesj-1338	79	16	�	�	PROPN
cuesj-1338	79	17	�	�	PROPN
cuesj-1338	79	18	�	�	PROPN
cuesj-1338	79	19	�	�	PROPN
cuesj-1338	79	20	�	�	PROPN
cuesj-1338	79	21	�	�	PROPN
cuesj-1338	79	22	�	�	PROPN
cuesj-1338	79	23	�	�	PROPN
cuesj-1338	79	24	�	�	PROPN
cuesj-1338	79	25	�	�	PROPN
cuesj-1338	79	26	�	�	PROPN
cuesj-1338	79	27	�	�	PROPN
cuesj-1338	79	28	�	�	PROPN
cuesj-1338	79	29	�	�	PROPN
cuesj-1338	79	30	�	�	PROPN
cuesj-1338	79	31	1	1	NUM
cuesj-1338	79	32	1	1	NUM
cuesj-1338	79	33	0	0	NUM
cuesj-1338	79	34	1	1	NUM
cuesj-1338	79	35	0	0	NUM
cuesj-1338	79	36	1	1	NUM
cuesj-1338	79	37	�	�	PROPN
cuesj-1338	79	38	�	�	PROPN
cuesj-1338	79	39	�	�	PROPN
cuesj-1338	79	40	�	�	PROPN
cuesj-1338	79	41	�	�	PROPN
cuesj-1338	79	42	�	�	PROPN
cuesj-1338	79	43	(	(	PUNCT
cuesj-1338	79	44	2	2	NUM
cuesj-1338	79	45	)	)	PUNCT
cuesj-1338	79	46	for	for	ADP
cuesj-1338	79	47	simplicity	simplicity	NOUN
cuesj-1338	79	48	equation	equation	NOUN
cuesj-1338	79	49	(	(	PUNCT
cuesj-1338	79	50	2	2	X
cuesj-1338	79	51	)	)	PUNCT
cuesj-1338	79	52	can	can	AUX
cuesj-1338	79	53	be	be	AUX
cuesj-1338	79	54	written	write	VERB
cuesj-1338	79	55	as	as	ADP
cuesj-1338	79	56	below	below	ADV
cuesj-1338	79	57	.	.	PUNCT
cuesj-1338	80	1	(	(	PUNCT
cuesj-1338	80	2	)	)	PUNCT
cuesj-1338	80	3	(	(	PUNCT
cuesj-1338	80	4	)	)	PUNCT
cuesj-1338	80	5	(	(	PUNCT
cuesj-1338	80	6	)	)	PUNCT
cuesj-1338	80	7	β	β	X
cuesj-1338	80	8	β	β	X
cuesj-1338	80	9	β	β	X
cuesj-1338	80	10	β	β	X
cuesj-1338	80	11	β	β	X
cuesj-1338	80	12	=	=	PUNCT
cuesj-1338	81	1	+	+	PUNCT
cuesj-1338	81	2	=	=	SYM
cuesj-1338	81	3	=	=	SYM
cuesj-1338	81	4			VERB
cuesj-1338	81	5			PROPN
cuesj-1338	81	6	=	=	ADJ
cuesj-1338	81	7			ADJ
cuesj-1338	81	8			PROPN
cuesj-1338	81	9			ADJ
cuesj-1338	81	10	=	=	NOUN
cuesj-1338	81	11			ADJ
cuesj-1338	81	12			PROPN
cuesj-1338	81	13			PUNCT
cuesj-1338	82	1			ADJ
cuesj-1338	82	2	+	+	NOUN
cuesj-1338	82	3	−	−	ADP
cuesj-1338	82	4			NOUN
cuesj-1338	82	5			NOUN
cuesj-1338	82	6			VERB
cuesj-1338	82	7			ADP
cuesj-1338	82	8			NOUN
cuesj-1338	82	9			PROPN
cuesj-1338	82	10	∑	∑	PROPN
cuesj-1338	82	11	∑	∑	PROPN
cuesj-1338	82	12	∑	∑	PROPN
cuesj-1338	82	13	0	0	NUM
cuesj-1338	82	14	1	1	NUM
cuesj-1338	82	15	1	1	NUM
cuesj-1338	82	16	0	0	NUM
cuesj-1338	82	17	1	1	NUM
cuesj-1338	82	18	1	1	NUM
cuesj-1338	82	19	log	log	NOUN
cuesj-1338	82	20	  	  	SPACE
cuesj-1338	82	21	log	log	NOUN
cuesj-1338	83	1	t	t	PROPN
cuesj-1338	83	2	j	j	PROPN
cuesj-1338	84	1	j	j	PROPN
cuesj-1338	85	1	i	i	PRON
cuesj-1338	85	2	k	k	PROPN
cuesj-1338	86	1	i	i	PRON
cuesj-1338	86	2	n	n	VERB
cuesj-1338	86	3	k	k	PROPN
cuesj-1338	86	4	k	k	PROPN
cuesj-1338	87	1	xi	xi	PROPN
cuesj-1338	87	2	t	t	PROPN
cuesj-1338	88	1	k	k	PROPN
cuesj-1338	88	2	k	k	PROPN
cuesj-1338	89	1	i	i	PRON
cuesj-1338	89	2	j	j	PROPN
cuesj-1338	89	3	y	y	PROPN
cuesj-1338	89	4	k	k	PROPN
cuesj-1338	89	5	l	l	PUNCT
cuesj-1338	89	6	x	x	PUNCT
cuesj-1338	89	7	e	e	X
cuesj-1338	89	8	(	(	PUNCT
cuesj-1338	89	9	3	3	NUM
cuesj-1338	89	10	)	)	PUNCT
cuesj-1338	89	11	table	table	NOUN
cuesj-1338	89	12	1	1	NUM
cuesj-1338	89	13	:	:	PUNCT
cuesj-1338	89	14	types	type	NOUN
cuesj-1338	89	15	and	and	CCONJ
cuesj-1338	89	16	observations	observation	NOUN
cuesj-1338	89	17	of	of	ADP
cuesj-1338	89	18	brain	brain	NOUN
cuesj-1338	89	19	cancer	cancer	NOUN
cuesj-1338	89	20	types	type	NOUN
cuesj-1338	89	21	number	number	NOUN
cuesj-1338	89	22	of	of	ADP
cuesj-1338	89	23	observations	observation	NOUN
cuesj-1338	89	24	ependymoma	ependymoma	VERB
cuesj-1338	89	25	46	46	NUM
cuesj-1338	89	26	glioblastoma	glioblastoma	NOUN
cuesj-1338	89	27	34	34	NUM
cuesj-1338	89	28	medulloblastoma	medulloblastoma	NOUN
cuesj-1338	90	1	26	26	NUM
cuesj-1338	90	2	pilocytic_astrocytoma	pilocytic_astrocytoma	NUM
cuesj-1338	90	3	24	24	NUM
cuesj-1338	90	4	total	total	ADJ
cuesj-1338	90	5	130	130	NUM
cuesj-1338	90	6	mahmood	mahmood	NOUN
cuesj-1338	90	7	and	and	CCONJ
cuesj-1338	90	8	kadir	kadir	PROPN
cuesj-1338	90	9	:	:	PUNCT
cuesj-1338	90	10	elastic	elastic	ADJ
cuesj-1338	90	11	net	net	NOUN
cuesj-1338	90	12	for	for	ADP
cuesj-1338	90	13	brain	brain	NOUN
cuesj-1338	90	14	cancer	cancer	NOUN
cuesj-1338	90	15	genetics	genetic	NOUN
cuesj-1338	90	16	17	17	NUM
cuesj-1338	90	17	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	90	18	cuesj	cuesj	NOUN
cuesj-1338	90	19	2025	2025	NUM
cuesj-1338	90	20	,	,	PUNCT
cuesj-1338	90	21	9	9	NUM
cuesj-1338	90	22	(	(	PUNCT
cuesj-1338	90	23	1	1	NUM
cuesj-1338	90	24	):	):	PUNCT
cuesj-1338	90	25	14	14	NUM
cuesj-1338	90	26	-	-	SYM
cuesj-1338	90	27	23	23	NUM
cuesj-1338	90	28	to	to	PART
cuesj-1338	90	29	estimate	estimate	VERB
cuesj-1338	90	30	the	the	DET
cuesj-1338	90	31	parameters	parameter	NOUN
cuesj-1338	90	32	from	from	ADP
cuesj-1338	90	33	equation	equation	NOUN
cuesj-1338	90	34	(	(	PUNCT
cuesj-1338	90	35	3	3	NUM
cuesj-1338	90	36	)	)	PUNCT
cuesj-1338	90	37	,	,	PUNCT
cuesj-1338	90	38	we	we	PRON
cuesj-1338	90	39	can	can	AUX
cuesj-1338	90	40	maximize	maximize	VERB
cuesj-1338	90	41	logl(β	logl(β	NUM
cuesj-1338	90	42	)	)	PUNCT
cuesj-1338	90	43	with	with	ADP
cuesj-1338	90	44	respect	respect	NOUN
cuesj-1338	90	45	to	to	ADP
cuesj-1338	90	46	(	(	PUNCT
cuesj-1338	90	47	β0,β1,	β0,β1,	NOUN
cuesj-1338	90	48	…	…	SYM
cuesj-1338	90	49	,βk	,βk	PUNCT
cuesj-1338	90	50	)	)	PUNCT
cuesj-1338	90	51	or	or	CCONJ
cuesj-1338	90	52	minimize	minimize	VERB
cuesj-1338	90	53	the	the	DET
cuesj-1338	90	54	function	function	NOUN
cuesj-1338	90	55	of	of	ADP
cuesj-1338	90	56	–	–	PUNCT
cuesj-1338	90	57	logl(β	logl(β	PROPN
cuesj-1338	90	58	)	)	PUNCT
cuesj-1338	90	59	.	.	PUNCT
cuesj-1338	91	1	feature	feature	NOUN
cuesj-1338	91	2	selection	selection	NOUN
cuesj-1338	91	3	the	the	DET
cuesj-1338	91	4	logl(β	logl(β	PROPN
cuesj-1338	91	5	)	)	PUNCT
cuesj-1338	91	6	function	function	NOUN
cuesj-1338	91	7	from	from	ADP
cuesj-1338	91	8	equation	equation	NOUN
cuesj-1338	91	9	(	(	PUNCT
cuesj-1338	91	10	3	3	X
cuesj-1338	91	11	)	)	PUNCT
cuesj-1338	91	12	is	be	AUX
cuesj-1338	91	13	derived	derive	VERB
cuesj-1338	91	14	to	to	PART
cuesj-1338	91	15	install	install	VERB
cuesj-1338	91	16	penalized	penalize	VERB
cuesj-1338	91	17	regression	regression	NOUN
cuesj-1338	91	18	techniques	technique	NOUN
cuesj-1338	91	19	trying	try	VERB
cuesj-1338	91	20	to	to	PART
cuesj-1338	91	21	adapt	adapt	VERB
cuesj-1338	91	22	the	the	DET
cuesj-1338	91	23	logistic	logistic	ADJ
cuesj-1338	91	24	multinomial	multinomial	ADJ
cuesj-1338	91	25	model	model	NOUN
cuesj-1338	91	26	.	.	PUNCT
cuesj-1338	92	1	the	the	DET
cuesj-1338	92	2	objective	objective	NOUN
cuesj-1338	92	3	of	of	ADP
cuesj-1338	92	4	the	the	DET
cuesj-1338	92	5	model	model	NOUN
cuesj-1338	92	6	is	be	AUX
cuesj-1338	92	7	to	to	PART
cuesj-1338	92	8	control	control	VERB
cuesj-1338	92	9	the	the	DET
cuesj-1338	92	10	coefficients	coefficient	NOUN
cuesj-1338	92	11	which	which	PRON
cuesj-1338	92	12	may	may	AUX
cuesj-1338	92	13	lead	lead	VERB
cuesj-1338	92	14	to	to	ADP
cuesj-1338	92	15	the	the	DET
cuesj-1338	92	16	ratio	ratio	NOUN
cuesj-1338	92	17	of	of	ADP
cuesj-1338	92	18	penalized	penalize	VERB
cuesj-1338	92	19	regression	regression	NOUN
cuesj-1338	92	20	,	,	PUNCT
cuesj-1338	92	21	especially	especially	ADV
cuesj-1338	92	22	in	in	ADP
cuesj-1338	92	23	situations	situation	NOUN
cuesj-1338	92	24	where	where	SCONJ
cuesj-1338	92	25	the	the	DET
cuesj-1338	92	26	number	number	NOUN
cuesj-1338	92	27	of	of	ADP
cuesj-1338	92	28	observations	observation	NOUN
cuesj-1338	92	29	n	n	X
cuesj-1338	92	30	is	be	AUX
cuesj-1338	92	31	less	less	ADJ
cuesj-1338	92	32	than	than	ADP
cuesj-1338	92	33	the	the	DET
cuesj-1338	92	34	number	number	NOUN
cuesj-1338	92	35	of	of	ADP
cuesj-1338	92	36	features.[25	features.[25	PROPN
cuesj-1338	92	37	]	]	PUNCT
cuesj-1338	92	38	the	the	DET
cuesj-1338	92	39	penalized	penalize	VERB
cuesj-1338	92	40	multinomial	multinomial	ADJ
cuesj-1338	92	41	logistic	logistic	ADJ
cuesj-1338	92	42	regression	regression	NOUN
cuesj-1338	92	43	model	model	NOUN
cuesj-1338	92	44	can	can	AUX
cuesj-1338	92	45	be	be	AUX
cuesj-1338	92	46	stated	state	VERB
cuesj-1338	92	47	as	as	ADP
cuesj-1338	92	48	:	:	PUNCT
cuesj-1338	92	49	l	l	NOUN
cuesj-1338	92	50	l	l	NOUN
cuesj-1338	92	51	penalty	penalty	NOUN
cuesj-1338	92	52	termpenalty	termpenalty	PROPN
cuesj-1338	92	53	�	�	PROPN
cuesj-1338	92	54	�	�	PROPN
cuesj-1338	92	55	�	�	PROPN
cuesj-1338	92	56	�	�	PROPN
cuesj-1338	92	57	�	�	PROPN
cuesj-1338	92	58	�	�	PROPN
cuesj-1338	92	59	�	�	PROPN
cuesj-1338	92	60	�	�	PROPN
cuesj-1338	92	61	�	�	PROPN
cuesj-1338	92	62	log	log	PROPN
cuesj-1338	92	63	(	(	PUNCT
cuesj-1338	92	64	)	)	PUNCT
cuesj-1338	92	65	(	(	PUNCT
cuesj-1338	92	66	)	)	PUNCT
cuesj-1338	92	67	(	(	PUNCT
cuesj-1338	92	68	)	)	PUNCT
cuesj-1338	92	69	0	0	NUM
cuesj-1338	92	70	1	1	NUM
cuesj-1338	92	71	1	1	NUM
cuesj-1338	92	72	0	0	NUM
cuesj-1338	92	73	1	1	NUM
cuesj-1338	92	74	1	1	NUM
cuesj-1338	92	75	log	log	NOUN
cuesj-1338	93	1	k	k	PROPN
cuesj-1338	93	2	t	t	PROPN
cuesj-1338	94	1	i	i	PRON
cuesj-1338	94	2	k	k	PROPN
cuesj-1338	94	3	k	k	PROPN
cuesj-1338	95	1	in	in	ADP
cuesj-1338	95	2	k	k	PROPN
cuesj-1338	95	3	penalty	penalty	PROPN
cuesj-1338	96	1	k	k	PROPN
cuesj-1338	96	2	t	t	PROPN
cuesj-1338	96	3	xi	xi	PROPN
cuesj-1338	97	1	j	j	PROPN
cuesj-1338	97	2	j	j	PROPN
cuesj-1338	98	1	i	i	PRON
cuesj-1338	98	2	j	j	PROPN
cuesj-1338	99	1	y	y	PROPN
cuesj-1338	99	2	k	k	PROPN
cuesj-1338	99	3	x	x	PUNCT
cuesj-1338	99	4	l	l	NOUN
cuesj-1338	99	5	penalty	penalty	NOUN
cuesj-1338	99	6	term	term	NOUN
cuesj-1338	99	7	eβ	eβ	NOUN
cuesj-1338	99	8	β	β	X
cuesj-1338	99	9	β	β	X
cuesj-1338	99	10	β	β	X
cuesj-1338	99	11	β	β	X
cuesj-1338	99	12	=	=	PUNCT
cuesj-1338	100	1	+	+	PUNCT
cuesj-1338	100	2	=	=	SYM
cuesj-1338	100	3	=	=	SYM
cuesj-1338	100	4			VERB
cuesj-1338	100	5			PROPN
cuesj-1338	100	6	=	=	SYM
cuesj-1338	100	7	+	+	ADJ
cuesj-1338	100	8			ADJ
cuesj-1338	100	9			PROPN
cuesj-1338	100	10			NOUN
cuesj-1338	100	11			PROPN
cuesj-1338	100	12	=	=	PUNCT
cuesj-1338	101	1	−	−	PROPN
cuesj-1338	102	1	+	+	ADJ
cuesj-1338	102	2			ADJ
cuesj-1338	102	3			PROPN
cuesj-1338	102	4			PROPN
cuesj-1338	102	5			VERB
cuesj-1338	102	6	−	−	NOUN
cuesj-1338	102	7			ADV
cuesj-1338	102	8			VERB
cuesj-1338	102	9			ADP
cuesj-1338	102	10			NOUN
cuesj-1338	102	11			PROPN
cuesj-1338	102	12	∑	∑	PROPN
cuesj-1338	102	13	∑	∑	PROPN
cuesj-1338	102	14	∑	∑	PROPN
cuesj-1338	102	15	elastic	elastic	ADJ
cuesj-1338	102	16	net	net	NOUN
cuesj-1338	102	17	the	the	DET
cuesj-1338	102	18	elastic	elastic	ADJ
cuesj-1338	102	19	net	net	ADJ
cuesj-1338	102	20	penalty	penalty	NOUN
cuesj-1338	102	21	adds	add	VERB
cuesj-1338	102	22	together	together	ADV
cuesj-1338	102	23	both	both	PRON
cuesj-1338	102	24	l1	l1	PROPN
cuesj-1338	102	25	-	-	PUNCT
cuesj-1338	102	26	norm	norm	NOUN
cuesj-1338	102	27	and	and	CCONJ
cuesj-1338	102	28	l2	l2	NOUN
cuesj-1338	102	29	-	-	PUNCT
cuesj-1338	102	30	norm	norm	NOUN
cuesj-1338	102	31	penalties	penalty	NOUN
cuesj-1338	102	32	that	that	PRON
cuesj-1338	102	33	achieve	achieve	VERB
cuesj-1338	102	34	automatic	automatic	ADJ
cuesj-1338	102	35	estimation	estimation	NOUN
cuesj-1338	102	36	and	and	CCONJ
cuesj-1338	102	37	variable	variable	ADJ
cuesj-1338	102	38	selection	selection	NOUN
cuesj-1338	102	39	of	of	ADP
cuesj-1338	102	40	the	the	DET
cuesj-1338	102	41	model	model	NOUN
cuesj-1338	102	42	simultaneously.[26,27	simultaneously.[26,27	NOUN
cuesj-1338	102	43	]	]	X
cuesj-1338	102	44	to	to	PART
cuesj-1338	102	45	maintain	maintain	VERB
cuesj-1338	102	46	the	the	DET
cuesj-1338	102	47	ratio	ratio	NOUN
cuesj-1338	102	48	of	of	ADP
cuesj-1338	102	49	lasso	lasso	NOUN
cuesj-1338	102	50	and	and	CCONJ
cuesj-1338	102	51	ridge	ridge	NOUN
cuesj-1338	102	52	penalties	penalty	NOUN
cuesj-1338	102	53	on	on	ADP
cuesj-1338	102	54	the	the	DET
cuesj-1338	102	55	model	model	NOUN
cuesj-1338	102	56	,	,	PUNCT
cuesj-1338	102	57	we	we	PRON
cuesj-1338	102	58	assume	assume	VERB
cuesj-1338	102	59	that	that	SCONJ
cuesj-1338	102	60	α	α	PROPN
cuesj-1338	102	61	∈	∈	PROPN
cuesj-1338	102	62	(	(	PUNCT
cuesj-1338	102	63	0,1	0,1	NUM
cuesj-1338	102	64	)	)	PUNCT
cuesj-1338	102	65	then	then	ADV
cuesj-1338	102	66	,	,	PUNCT
cuesj-1338	102	67	the	the	DET
cuesj-1338	102	68	elastic	elastic	ADJ
cuesj-1338	102	69	net	net	ADJ
cuesj-1338	102	70	penalty	penalty	NOUN
cuesj-1338	102	71	can	can	AUX
cuesj-1338	102	72	be	be	AUX
cuesj-1338	102	73	written	write	VERB
cuesj-1338	102	74	in	in	ADP
cuesj-1338	102	75	the	the	DET
cuesj-1338	102	76	form	form	NOUN
cuesj-1338	102	77	as	as	ADP
cuesj-1338	102	78	:	:	PUNCT
cuesj-1338	102	79	penaltyelasti	penaltyelasti	NOUN
cuesj-1338	102	80	net	net	NOUN
cuesj-1338	103	1	k	k	PROPN
cuesj-1338	103	2	k	k	PROPN
cuesj-1338	103	3	j	j	PROPN
cuesj-1338	104	1	p	p	X
cuesj-1338	104	2	kj	kj	PROPN
cuesj-1338	104	3	k	k	PROPN
cuesj-1338	104	4	k	k	PROPN
cuesj-1338	104	5	j	j	PROPN
cuesj-1338	104	6	p	p	X
cuesj-1338	104	7	kj	kj	PROPN
cuesj-1338	104	8	�	�	PROPN
cuesj-1338	104	9	�	�	PROPN
cuesj-1338	104	10	�	�	PROPN
cuesj-1338	104	11	�	�	PROPN
cuesj-1338	104	12	�	�	PROPN
cuesj-1338	104	13	�	�	PROPN
cuesj-1338	104	14	�	�	PROPN
cuesj-1338	104	15	�	�	PROPN
cuesj-1338	104	16	�	�	PROPN
cuesj-1338	104	17	�	�	PROPN
cuesj-1338	104	18	�	�	PROPN
cuesj-1338	104	19	�	�	PROPN
cuesj-1338	104	20	�	�	PROPN
cuesj-1338	104	21	�	�	PROPN
cuesj-1338	104	22	�	�	PROPN
cuesj-1338	104	23	1	1	NUM
cuesj-1338	104	24	1	1	NUM
cuesj-1338	104	25	1	1	NUM
cuesj-1338	104	26	2	2	NUM
cuesj-1338	104	27	1	1	NUM
cuesj-1338	104	28	1	1	NUM
cuesj-1338	104	29	2	2	NUM
cuesj-1338	104	30	λ1	λ1	NOUN
cuesj-1338	104	31	=	=	SYM
cuesj-1338	104	32	λ	λ	X
cuesj-1338	104	33	α	α	NOUN
cuesj-1338	104	34	,	,	PUNCT
cuesj-1338	104	35	λ2	λ2	NOUN
cuesj-1338	104	36	=	=	SYM
cuesj-1338	104	37	λ	λ	X
cuesj-1338	104	38	(	(	PUNCT
cuesj-1338	104	39	1	1	NUM
cuesj-1338	104	40	–	–	PUNCT
cuesj-1338	104	41	α	α	NOUN
cuesj-1338	104	42	)	)	PUNCT
cuesj-1338	104	43	if	if	SCONJ
cuesj-1338	104	44	α	α	NOUN
cuesj-1338	104	45	=	=	SYM
cuesj-1338	104	46	0	0	NUM
cuesj-1338	104	47	,	,	PUNCT
cuesj-1338	104	48	we	we	PRON
cuesj-1338	104	49	will	will	AUX
cuesj-1338	104	50	have	have	VERB
cuesj-1338	104	51	ridge	ridge	NOUN
cuesj-1338	104	52	regularization	regularization	NOUN
cuesj-1338	104	53	.	.	PUNCT
cuesj-1338	105	1	if	if	SCONJ
cuesj-1338	105	2	α	α	PRON
cuesj-1338	105	3	=	=	SYM
cuesj-1338	105	4	1	1	NUM
cuesj-1338	105	5	,	,	PUNCT
cuesj-1338	105	6	we	we	PRON
cuesj-1338	105	7	have	have	VERB
cuesj-1338	105	8	lasso	lasso	NOUN
cuesj-1338	105	9	regularization	regularization	NOUN
cuesj-1338	105	10	.	.	PUNCT
cuesj-1338	106	1	if	if	SCONJ
cuesj-1338	106	2	0	0	NUM
cuesj-1338	106	3	<	<	X
cuesj-1338	106	4	α	α	X
cuesj-1338	106	5	<	<	X
cuesj-1338	106	6	1	1	NUM
cuesj-1338	106	7	,	,	PUNCT
cuesj-1338	106	8	we	we	PRON
cuesj-1338	106	9	have	have	VERB
cuesj-1338	106	10	elastic	elastic	ADJ
cuesj-1338	106	11	net	net	NOUN
cuesj-1338	106	12	.	.	PUNCT
cuesj-1338	107	1	the	the	DET
cuesj-1338	107	2	parameters	parameter	NOUN
cuesj-1338	107	3	λ	λ	X
cuesj-1338	107	4	>	>	X
cuesj-1338	107	5	0	0	PUNCT
cuesj-1338	107	6	control	control	VERB
cuesj-1338	107	7	the	the	DET
cuesj-1338	107	8	degree	degree	NOUN
cuesj-1338	107	9	of	of	ADP
cuesj-1338	107	10	lasso	lasso	NOUN
cuesj-1338	107	11	and	and	CCONJ
cuesj-1338	107	12	ridge	ridge	NOUN
cuesj-1338	107	13	penalties	penalty	NOUN
cuesj-1338	107	14	.	.	PUNCT
cuesj-1338	108	1	this	this	DET
cuesj-1338	108	2	parameter	parameter	NOUN
cuesj-1338	108	3	is	be	AUX
cuesj-1338	108	4	usually	usually	ADV
cuesj-1338	108	5	estimated	estimate	VERB
cuesj-1338	108	6	through	through	ADP
cuesj-1338	108	7	cross	cross	NOUN
cuesj-1338	108	8	-	-	NOUN
cuesj-1338	108	9	validation	validation	ADJ
cuesj-1338	108	10	,	,	PUNCT
cuesj-1338	108	11	where	where	SCONJ
cuesj-1338	108	12	the	the	DET
cuesj-1338	108	13	aim	aim	NOUN
cuesj-1338	108	14	is	be	AUX
cuesj-1338	108	15	to	to	PART
cuesj-1338	108	16	identify	identify	VERB
cuesj-1338	108	17	the	the	DET
cuesj-1338	108	18	most	most	ADV
cuesj-1338	108	19	optimal	optimal	ADJ
cuesj-1338	108	20	one	one	NOUN
cuesj-1338	108	21	that	that	PRON
cuesj-1338	108	22	minimizes	minimize	VERB
cuesj-1338	108	23	an	an	DET
cuesj-1338	108	24	objective	objective	ADJ
cuesj-1338	108	25	function	function	NOUN
cuesj-1338	108	26	on	on	ADP
cuesj-1338	108	27	the	the	DET
cuesj-1338	108	28	validation	validation	NOUN
cuesj-1338	108	29	set	set	NOUN
cuesj-1338	108	30	.	.	PUNCT
cuesj-1338	109	1	then	then	ADV
cuesj-1338	109	2	,	,	PUNCT
cuesj-1338	109	3	logl(β	logl(β	PROPN
cuesj-1338	109	4	)	)	PUNCT
cuesj-1338	109	5	for	for	ADP
cuesj-1338	109	6	a	a	DET
cuesj-1338	109	7	multinomial	multinomial	ADJ
cuesj-1338	109	8	logistic	logistic	ADJ
cuesj-1338	109	9	model	model	NOUN
cuesj-1338	109	10	with	with	ADP
cuesj-1338	109	11	elastic	elastic	ADJ
cuesj-1338	109	12	net	net	NOUN
cuesj-1338	109	13	becomes	become	VERB
cuesj-1338	109	14	:	:	PUNCT
cuesj-1338	109	15	(	(	PUNCT
cuesj-1338	109	16	)	)	PUNCT
cuesj-1338	109	17	(	(	PUNCT
cuesj-1338	109	18	)	)	PUNCT
cuesj-1338	109	19	(	(	PUNCT
cuesj-1338	109	20	)	)	PUNCT
cuesj-1338	109	21	0	0	NUM
cuesj-1338	109	22	0	0	NUM
cuesj-1338	109	23	1	1	NUM
cuesj-1338	109	24	1	1	NUM
cuesj-1338	109	25	1	1	NUM
cuesj-1338	109	26	2	2	NUM
cuesj-1338	109	27	1	1	NUM
cuesj-1338	109	28	2	2	NUM
cuesj-1338	109	29	1	1	NUM
cuesj-1338	109	30	1	1	NUM
cuesj-1338	109	31	1	1	NUM
cuesj-1338	109	32	1	1	NUM
cuesj-1338	109	33	1	1	NUM
cuesj-1338	109	34	log	log	NOUN
cuesj-1338	110	1	n	n	NOUN
cuesj-1338	110	2	k	k	PROPN
cuesj-1338	110	3	k	k	PROPN
cuesj-1338	110	4	t	t	PROPN
cuesj-1338	110	5	xt	xt	PROPN
cuesj-1338	111	1	j	j	PROPN
cuesj-1338	111	2	j	j	PROPN
cuesj-1338	111	3	i	i	PRON
cuesj-1338	111	4	elastic	elastic	VERB
cuesj-1338	112	1	i	i	PRON
cuesj-1338	112	2	k	k	PROPN
cuesj-1338	113	1	k	k	PROPN
cuesj-1338	114	1	i	i	PRON
cuesj-1338	115	1	i	i	PRON
cuesj-1338	116	1	k	k	PROPN
cuesj-1338	117	1	j	j	PROPN
cuesj-1338	117	2	p	p	PROPN
cuesj-1338	117	3	pk	pk	PROPN
cuesj-1338	117	4	k	k	PROPN
cuesj-1338	117	5	kj	kj	PROPN
cuesj-1338	117	6	kj	kj	PROPN
cuesj-1338	117	7	k	k	PROPN
cuesj-1338	118	1	j	j	PROPN
cuesj-1338	119	1	k	k	PROPN
cuesj-1338	119	2	j	j	PROPN
cuesj-1338	120	1	l	l	NOUN
cuesj-1338	120	2	y	y	PROPN
cuesj-1338	120	3	k	k	PROPN
cuesj-1338	120	4	x	x	PUNCT
cuesj-1338	121	1	eβ	eβ	X
cuesj-1338	121	2	ββ	ββ	INTJ
cuesj-1338	121	3	β	β	X
cuesj-1338	121	4	β	β	X
cuesj-1338	121	5	λ	λ	X
cuesj-1338	121	6	β	β	X
cuesj-1338	121	7	λ	λ	X
cuesj-1338	121	8	β	β	X
cuesj-1338	121	9	+	+	X
cuesj-1338	121	10	=	=	SYM
cuesj-1338	121	11	=	=	SYM
cuesj-1338	121	12	=	=	PUNCT
cuesj-1338	121	13	=	=	PUNCT
cuesj-1338	122	1	=	=	PUNCT
cuesj-1338	122	2	=	=	SYM
cuesj-1338	123	1	=	=	SYM
cuesj-1338	123	2			VERB
cuesj-1338	123	3			PRON
cuesj-1338	123	4			PUNCT
cuesj-1338	124	1			ADJ
cuesj-1338	124	2			ADV
cuesj-1338	124	3	=	=	ADJ
cuesj-1338	124	4	−	−	NOUN
cuesj-1338	124	5	=	=	SYM
cuesj-1338	125	1	+	+	NUM
cuesj-1338	125	2	−	−	PROPN
cuesj-1338	125	3			NOUN
cuesj-1338	125	4			VERB
cuesj-1338	125	5			ADP
cuesj-1338	125	6			NOUN
cuesj-1338	125	7			PROPN
cuesj-1338	125	8	+	+	CCONJ
cuesj-1338	125	9	+	+	CCONJ
cuesj-1338	125	10	∑	∑	PROPN
cuesj-1338	125	11	∑	∑	PROPN
cuesj-1338	125	12	∑	∑	PROPN
cuesj-1338	125	13	∑∑	∑∑	PROPN
cuesj-1338	125	14	∑∑	∑∑	PROPN
cuesj-1338	125	15	model	model	NOUN
cuesj-1338	125	16	evaluation	evaluation	NOUN
cuesj-1338	125	17	in	in	ADP
cuesj-1338	125	18	the	the	DET
cuesj-1338	125	19	context	context	NOUN
cuesj-1338	125	20	of	of	ADP
cuesj-1338	125	21	precision	precision	NOUN
cuesj-1338	125	22	,	,	PUNCT
cuesj-1338	125	23	accuracy	accuracy	NOUN
cuesj-1338	125	24	,	,	PUNCT
cuesj-1338	125	25	auc	auc	NOUN
cuesj-1338	125	26	,	,	PUNCT
cuesj-1338	125	27	and	and	CCONJ
cuesj-1338	125	28	f1	f1	NOUN
cuesj-1338	125	29	-	-	PUNCT
cuesj-1338	125	30	score	score	NOUN
cuesj-1338	125	31	,	,	PUNCT
cuesj-1338	125	32	they	they	PRON
cuesj-1338	125	33	are	be	AUX
cuesj-1338	125	34	all	all	PRON
cuesj-1338	125	35	essential	essential	ADJ
cuesj-1338	125	36	metrics	metric	NOUN
cuesj-1338	125	37	of	of	ADP
cuesj-1338	125	38	interest	interest	NOUN
cuesj-1338	125	39	for	for	ADP
cuesj-1338	125	40	the	the	DET
cuesj-1338	125	41	performance	performance	NOUN
cuesj-1338	125	42	of	of	ADP
cuesj-1338	125	43	classification	classification	NOUN
cuesj-1338	125	44	models	model	NOUN
cuesj-1338	125	45	.	.	PUNCT
cuesj-1338	126	1	it	it	PRON
cuesj-1338	126	2	is	be	AUX
cuesj-1338	126	3	worth	worth	ADJ
cuesj-1338	126	4	stating	state	VERB
cuesj-1338	126	5	,	,	PUNCT
cuesj-1338	126	6	however	however	ADV
cuesj-1338	126	7	,	,	PUNCT
cuesj-1338	126	8	that	that	SCONJ
cuesj-1338	126	9	they	they	PRON
cuesj-1338	126	10	have	have	VERB
cuesj-1338	126	11	their	their	PRON
cuesj-1338	126	12	own	own	ADJ
cuesj-1338	126	13	benefits	benefit	NOUN
cuesj-1338	126	14	and	and	CCONJ
cuesj-1338	126	15	limitations	limitation	NOUN
cuesj-1338	126	16	depending	depend	VERB
cuesj-1338	126	17	on	on	ADP
cuesj-1338	126	18	the	the	DET
cuesj-1338	126	19	problem	problem	NOUN
cuesj-1338	126	20	,	,	PUNCT
cuesj-1338	126	21	and	and	CCONJ
cuesj-1338	126	22	most	most	ADV
cuesj-1338	126	23	importantly	importantly	ADV
cuesj-1338	126	24	the	the	DET
cuesj-1338	126	25	class	class	NOUN
cuesj-1338	126	26	imbalance	imbalance	NOUN
cuesj-1338	126	27	issue	issue	NOUN
cuesj-1338	126	28	.	.	PUNCT
cuesj-1338	127	1	accuracy	accuracy	NOUN
cuesj-1338	127	2	:	:	PUNCT
cuesj-1338	127	3	the	the	DET
cuesj-1338	127	4	accuracy	accuracy	NOUN
cuesj-1338	127	5	metric	metric	NOUN
cuesj-1338	127	6	is	be	AUX
cuesj-1338	127	7	purely	purely	ADV
cuesj-1338	127	8	how	how	SCONJ
cuesj-1338	127	9	many	many	ADJ
cuesj-1338	127	10	predictions	prediction	NOUN
cuesj-1338	127	11	were	be	AUX
cuesj-1338	127	12	correct	correct	ADJ
cuesj-1338	127	13	out	out	ADP
cuesj-1338	127	14	of	of	ADP
cuesj-1338	127	15	the	the	DET
cuesj-1338	127	16	total	total	ADJ
cuesj-1338	127	17	cases	case	NOUN
cuesj-1338	127	18	predicted	predict	VERB
cuesj-1338	127	19	.	.	PUNCT
cuesj-1338	128	1	it	it	PRON
cuesj-1338	128	2	indicates	indicate	VERB
cuesj-1338	128	3	whether	whether	SCONJ
cuesj-1338	128	4	positive	positive	ADJ
cuesj-1338	128	5	and	and	CCONJ
cuesj-1338	128	6	negative	negative	ADJ
cuesj-1338	128	7	results	result	NOUN
cuesj-1338	128	8	were	be	AUX
cuesj-1338	128	9	actually	actually	ADV
cuesj-1338	128	10	positive	positive	ADJ
cuesj-1338	128	11	and	and	CCONJ
cuesj-1338	128	12	negative	negative	ADJ
cuesj-1338	128	13	.	.	PUNCT
cuesj-1338	129	1	considering	consider	VERB
cuesj-1338	129	2	the	the	DET
cuesj-1338	129	3	formula	formula	NOUN
cuesj-1338	129	4	and	and	CCONJ
cuesj-1338	129	5	the	the	DET
cuesj-1338	129	6	method	method	NOUN
cuesj-1338	129	7	,	,	PUNCT
cuesj-1338	129	8	accuracy	accuracy	NOUN
cuesj-1338	129	9	is	be	AUX
cuesj-1338	129	10	easy	easy	ADJ
cuesj-1338	129	11	to	to	PART
cuesj-1338	129	12	grasp	grasp	VERB
cuesj-1338	129	13	and	and	CCONJ
cuesj-1338	129	14	calculate	calculate	VERB
cuesj-1338	129	15	,	,	PUNCT
cuesj-1338	129	16	and	and	CCONJ
cuesj-1338	129	17	it	it	PRON
cuesj-1338	129	18	is	be	AUX
cuesj-1338	129	19	effective	effective	ADJ
cuesj-1338	129	20	if	if	SCONJ
cuesj-1338	129	21	the	the	DET
cuesj-1338	129	22	class	class	NOUN
cuesj-1338	129	23	is	be	AUX
cuesj-1338	129	24	balanced.[28	balanced.[28	PROPN
cuesj-1338	129	25	]	]	PUNCT
cuesj-1338	129	26	accuracy	accuracy	NOUN
cuesj-1338	129	27	nmber	nmber	NOUN
cuesj-1338	129	28	of	of	ADP
cuesj-1338	129	29	correct	correct	ADJ
cuesj-1338	129	30	predictions	prediction	NOUN
cuesj-1338	129	31	total	total	ADJ
cuesj-1338	129	32	number	number	NOUN
cuesj-1338	129	33	of	of	ADP
cuesj-1338	129	34	predi	predi	NOUN
cuesj-1338	129	35	=	=	SYM
cuesj-1338	129	36	�	�	PROPN
cuesj-1338	129	37	�	�	PROPN
cuesj-1338	129	38	�	�	PROPN
cuesj-1338	129	39	�	�	PROPN
cuesj-1338	129	40	�	�	PROPN
cuesj-1338	129	41	�	�	PROPN
cuesj-1338	129	42	cctions	cction	NOUN
cuesj-1338	129	43	the	the	DET
cuesj-1338	129	44	f1	f1	PROPN
cuesj-1338	129	45	score	score	NOUN
cuesj-1338	129	46	integrates	integrate	VERB
cuesj-1338	129	47	both	both	CCONJ
cuesj-1338	129	48	precision	precision	NOUN
cuesj-1338	129	49	and	and	CCONJ
cuesj-1338	129	50	recall	recall	VERB
cuesj-1338	129	51	into	into	ADP
cuesj-1338	129	52	a	a	DET
cuesj-1338	129	53	single	single	ADJ
cuesj-1338	129	54	value	value	NOUN
cuesj-1338	129	55	by	by	ADP
cuesj-1338	129	56	taking	take	VERB
cuesj-1338	129	57	their	their	PRON
cuesj-1338	129	58	harmonic	harmonic	ADJ
cuesj-1338	129	59	mean	mean	NOUN
cuesj-1338	129	60	rather	rather	ADV
cuesj-1338	129	61	than	than	ADP
cuesj-1338	129	62	the	the	DET
cuesj-1338	129	63	arithmetic	arithmetic	ADJ
cuesj-1338	129	64	mean	mean	NOUN
cuesj-1338	129	65	in	in	ADP
cuesj-1338	129	66	which	which	PRON
cuesj-1338	129	67	one	one	NUM
cuesj-1338	129	68	value	value	NOUN
cuesj-1338	129	69	can	can	AUX
cuesj-1338	129	70	overshadow	overshadow	VERB
cuesj-1338	129	71	the	the	DET
cuesj-1338	129	72	other	other	ADJ
cuesj-1338	129	73	on	on	ADP
cuesj-1338	129	74	account	account	NOUN
cuesj-1338	129	75	of	of	ADP
cuesj-1338	129	76	superlative	superlative	ADJ
cuesj-1338	129	77	performance	performance	NOUN
cuesj-1338	129	78	.	.	PUNCT
cuesj-1338	130	1	simply	simply	ADV
cuesj-1338	130	2	put	put	VERB
cuesj-1338	130	3	,	,	PUNCT
cuesj-1338	130	4	it	it	PRON
cuesj-1338	130	5	is	be	AUX
cuesj-1338	130	6	used	use	VERB
cuesj-1338	130	7	to	to	PART
cuesj-1338	130	8	illustrate	illustrate	VERB
cuesj-1338	130	9	how	how	SCONJ
cuesj-1338	130	10	well	well	ADV
cuesj-1338	130	11	the	the	DET
cuesj-1338	130	12	model	model	NOUN
cuesj-1338	130	13	performs.[29	performs.[29	NOUN
cuesj-1338	130	14	]	]	PUNCT
cuesj-1338	130	15	precision	precision	NOUN
cuesj-1338	130	16	x	x	X
cuesj-1338	130	17	recallf1	recallf1	NOUN
cuesj-1338	130	18	score	score	NOUN
cuesj-1338	130	19	2	2	NUM
cuesj-1338	130	20	precision	precision	NOUN
cuesj-1338	130	21	recall	recall	NOUN
cuesj-1338	130	22	−	−	PROPN
cuesj-1338	130	23	=	=	SYM
cuesj-1338	130	24	×	×	PROPN
cuesj-1338	130	25	+	+	CCONJ
cuesj-1338	130	26	auc	auc	NOUN
cuesj-1338	130	27	:	:	PUNCT
cuesj-1338	130	28	the	the	DET
cuesj-1338	130	29	auc	auc	NOUN
cuesj-1338	130	30	,	,	PUNCT
cuesj-1338	130	31	where	where	SCONJ
cuesj-1338	130	32	the	the	DET
cuesj-1338	130	33	curve	curve	NOUN
cuesj-1338	130	34	depicts	depict	VERB
cuesj-1338	130	35	the	the	DET
cuesj-1338	130	36	true	true	ADJ
cuesj-1338	130	37	positive	positive	ADJ
cuesj-1338	130	38	rate	rate	NOUN
cuesj-1338	130	39	against	against	ADP
cuesj-1338	130	40	the	the	DET
cuesj-1338	130	41	false	false	ADJ
cuesj-1338	130	42	positive	positive	ADJ
cuesj-1338	130	43	rate	rate	NOUN
cuesj-1338	130	44	with	with	ADP
cuesj-1338	130	45	regards	regard	NOUN
cuesj-1338	130	46	to	to	ADP
cuesj-1338	130	47	the	the	DET
cuesj-1338	130	48	different	different	ADJ
cuesj-1338	130	49	threshold	threshold	NOUN
cuesj-1338	130	50	settings	setting	NOUN
cuesj-1338	130	51	in	in	ADP
cuesj-1338	130	52	the	the	DET
cuesj-1338	130	53	receiver	receiver	NOUN
cuesj-1338	130	54	operating	operate	VERB
cuesj-1338	130	55	characteristic	characteristic	NOUN
cuesj-1338	130	56	(	(	PUNCT
cuesj-1338	130	57	roc	roc	PROPN
cuesj-1338	130	58	)	)	PUNCT
cuesj-1338	130	59	auc	auc	NOUN
cuesj-1338	130	60	range	range	NOUN
cuesj-1338	130	61	values	value	NOUN
cuesj-1338	130	62	are	be	AUX
cuesj-1338	130	63	as	as	SCONJ
cuesj-1338	130	64	follows	follow	VERB
cuesj-1338	130	65	:	:	PUNCT
cuesj-1338	130	66	0	0	NUM
cuesj-1338	130	67	<	<	X
cuesj-1338	130	68	auc	auc	X
cuesj-1338	130	69	<	<	X
cuesj-1338	130	70	1	1	NUM
cuesj-1338	130	71	auc	auc	NOUN
cuesj-1338	130	72	=	=	SYM
cuesj-1338	130	73	0.5	0.5	NUM
cuesj-1338	130	74	means	mean	VERB
cuesj-1338	130	75	no	no	DET
cuesj-1338	130	76	discrimination	discrimination	NOUN
cuesj-1338	130	77	.	.	PUNCT
cuesj-1338	131	1	auc	auc	NOUN
cuesj-1338	131	2	=	=	SYM
cuesj-1338	131	3	1	1	NUM
cuesj-1338	131	4	indicates	indicate	VERB
cuesj-1338	131	5	perfect	perfect	ADJ
cuesj-1338	131	6	discrimination	discrimination	NOUN
cuesj-1338	131	7	between	between	ADP
cuesj-1338	131	8	classes	class	NOUN
cuesj-1338	131	9	.	.	PUNCT
cuesj-1338	132	1	it	it	PRON
cuesj-1338	132	2	does	do	AUX
cuesj-1338	132	3	serve	serve	VERB
cuesj-1338	132	4	the	the	DET
cuesj-1338	132	5	purpose	purpose	NOUN
cuesj-1338	132	6	of	of	ADP
cuesj-1338	132	7	assessing	assess	VERB
cuesj-1338	132	8	the	the	DET
cuesj-1338	132	9	performance	performance	NOUN
cuesj-1338	132	10	of	of	ADP
cuesj-1338	132	11	a	a	DET
cuesj-1338	132	12	model	model	NOUN
cuesj-1338	132	13	,	,	PUNCT
cuesj-1338	132	14	especially	especially	ADV
cuesj-1338	132	15	in	in	ADP
cuesj-1338	132	16	cases	case	NOUN
cuesj-1338	132	17	where	where	SCONJ
cuesj-1338	132	18	class	class	NOUN
cuesj-1338	132	19	imbalance	imbalance	NOUN
cuesj-1338	132	20	exists	exist	VERB
cuesj-1338	132	21	.	.	PUNCT
cuesj-1338	133	1	cross	cross	ADJ
cuesj-1338	133	2	-	-	ADJ
cuesj-1338	133	3	validation	validation	ADJ
cuesj-1338	133	4	strategy	strategy	NOUN
cuesj-1338	133	5	:	:	PUNCT
cuesj-1338	133	6	cross	cross	NOUN
cuesj-1338	133	7	-	-	NOUN
cuesj-1338	133	8	validation	validation	ADJ
cuesj-1338	133	9	(	(	PUNCT
cuesj-1338	133	10	k	k	NOUN
cuesj-1338	133	11	-	-	ADJ
cuesj-1338	133	12	fold	fold	ADJ
cuesj-1338	133	13	)	)	PUNCT
cuesj-1338	133	14	is	be	AUX
cuesj-1338	133	15	the	the	DET
cuesj-1338	133	16	most	most	ADV
cuesj-1338	133	17	widespread	widespread	ADJ
cuesj-1338	133	18	technique	technique	NOUN
cuesj-1338	133	19	for	for	ADP
cuesj-1338	133	20	assessing	assess	VERB
cuesj-1338	133	21	a	a	DET
cuesj-1338	133	22	model	model	NOUN
cuesj-1338	133	23	’s	’s	PART
cuesj-1338	133	24	performance	performance	NOUN
cuesj-1338	133	25	since	since	SCONJ
cuesj-1338	133	26	it	it	PRON
cuesj-1338	133	27	allows	allow	VERB
cuesj-1338	133	28	a	a	DET
cuesj-1338	133	29	reliable	reliable	ADJ
cuesj-1338	133	30	estimation	estimation	NOUN
cuesj-1338	133	31	with	with	ADP
cuesj-1338	133	32	a	a	DET
cuesj-1338	133	33	low	low	ADJ
cuesj-1338	133	34	level	level	NOUN
cuesj-1338	133	35	of	of	ADP
cuesj-1338	133	36	bias	bias	NOUN
cuesj-1338	133	37	and	and	CCONJ
cuesj-1338	133	38	variance	variance	NOUN
cuesj-1338	133	39	in	in	ADP
cuesj-1338	133	40	the	the	DET
cuesj-1338	133	41	evaluation	evaluation	NOUN
cuesj-1338	133	42	(	(	PUNCT
cuesj-1338	133	43	iyengar	iyengar	ADJ
cuesj-1338	133	44	,	,	PUNCT
cuesj-1338	133	45	2024	2024	NUM
cuesj-1338	133	46	)	)	PUNCT
cuesj-1338	133	47	.	.	PUNCT
cuesj-1338	134	1	results	result	NOUN
cuesj-1338	134	2	in	in	ADP
cuesj-1338	134	3	this	this	DET
cuesj-1338	134	4	section	section	NOUN
cuesj-1338	134	5	,	,	PUNCT
cuesj-1338	134	6	the	the	DET
cuesj-1338	134	7	number	number	NOUN
cuesj-1338	134	8	of	of	ADP
cuesj-1338	134	9	genes	gene	NOUN
cuesj-1338	134	10	chosen	choose	VERB
cuesj-1338	134	11	by	by	ADP
cuesj-1338	134	12	all	all	DET
cuesj-1338	134	13	the	the	DET
cuesj-1338	134	14	gene	gene	NOUN
cuesj-1338	134	15	selection	selection	NOUN
cuesj-1338	134	16	techniques	technique	NOUN
cuesj-1338	134	17	for	for	ADP
cuesj-1338	134	18	sparsity	sparsity	NOUN
cuesj-1338	134	19	regularization	regularization	NOUN
cuesj-1338	134	20	and	and	CCONJ
cuesj-1338	134	21	performance	performance	NOUN
cuesj-1338	134	22	measures	measure	NOUN
cuesj-1338	134	23	that	that	PRON
cuesj-1338	134	24	may	may	AUX
cuesj-1338	134	25	be	be	AUX
cuesj-1338	134	26	useful	useful	ADJ
cuesj-1338	134	27	will	will	AUX
cuesj-1338	134	28	be	be	AUX
cuesj-1338	134	29	discussed	discuss	VERB
cuesj-1338	134	30	.	.	PUNCT
cuesj-1338	135	1	also	also	ADV
cuesj-1338	135	2	,	,	PUNCT
cuesj-1338	135	3	the	the	DET
cuesj-1338	135	4	multinomial	multinomial	ADJ
cuesj-1338	135	5	logistic	logistic	ADJ
cuesj-1338	135	6	models	model	NOUN
cuesj-1338	135	7	will	will	AUX
cuesj-1338	135	8	be	be	AUX
cuesj-1338	135	9	assessed	assess	VERB
cuesj-1338	135	10	in	in	ADP
cuesj-1338	135	11	terms	term	NOUN
cuesj-1338	135	12	of	of	ADP
cuesj-1338	135	13	their	their	PRON
cuesj-1338	135	14	predictive	predictive	ADJ
cuesj-1338	135	15	accuracy	accuracy	NOUN
cuesj-1338	135	16	,	,	PUNCT
cuesj-1338	135	17	whether	whether	SCONJ
cuesj-1338	135	18	these	these	DET
cuesj-1338	135	19	models	model	NOUN
cuesj-1338	135	20	are	be	AUX
cuesj-1338	135	21	selected	select	VERB
cuesj-1338	135	22	or	or	CCONJ
cuesj-1338	135	23	not	not	PART
cuesj-1338	135	24	.	.	PUNCT
cuesj-1338	136	1	in	in	ADP
cuesj-1338	136	2	the	the	DET
cuesj-1338	136	3	model	model	NOUN
cuesj-1338	136	4	-	-	PUNCT
cuesj-1338	136	5	building	building	NOUN
cuesj-1338	136	6	process	process	NOUN
cuesj-1338	136	7	,	,	PUNCT
cuesj-1338	136	8	figure	figure	NOUN
cuesj-1338	136	9	1	1	NUM
cuesj-1338	136	10	is	be	AUX
cuesj-1338	136	11	a	a	DET
cuesj-1338	136	12	crucial	crucial	ADJ
cuesj-1338	136	13	stage	stage	NOUN
cuesj-1338	136	14	.	.	PUNCT
cuesj-1338	137	1	it	it	PRON
cuesj-1338	137	2	determines	determine	VERB
cuesj-1338	137	3	the	the	DET
cuesj-1338	137	4	optimal	optimal	ADJ
cuesj-1338	137	5	values	value	NOUN
cuesj-1338	137	6	of	of	ADP
cuesj-1338	137	7	lambda	lambda	NOUN
cuesj-1338	137	8	for	for	ADP
cuesj-1338	137	9	elastic	elastic	ADJ
cuesj-1338	137	10	net	net	ADJ
cuesj-1338	137	11	regularization	regularization	NOUN
cuesj-1338	137	12	which	which	PRON
cuesj-1338	137	13	in	in	ADP
cuesj-1338	137	14	turn	turn	NOUN
cuesj-1338	137	15	improves	improve	VERB
cuesj-1338	137	16	the	the	DET
cuesj-1338	137	17	tuning	tuning	NOUN
cuesj-1338	137	18	of	of	ADP
cuesj-1338	137	19	the	the	DET
cuesj-1338	137	20	models	model	NOUN
cuesj-1338	137	21	during	during	ADP
cuesj-1338	137	22	the	the	DET
cuesj-1338	137	23	training	training	NOUN
cuesj-1338	137	24	set	set	VERB
cuesj-1338	137	25	so	so	SCONJ
cuesj-1338	137	26	that	that	SCONJ
cuesj-1338	137	27	they	they	PRON
cuesj-1338	137	28	generalize	generalize	VERB
cuesj-1338	137	29	well	well	ADV
cuesj-1338	137	30	to	to	ADP
cuesj-1338	137	31	new	new	ADJ
cuesj-1338	137	32	data	datum	NOUN
cuesj-1338	137	33	.	.	PUNCT
cuesj-1338	138	1	this	this	DET
cuesj-1338	138	2	technique	technique	NOUN
cuesj-1338	138	3	is	be	AUX
cuesj-1338	138	4	essential	essential	ADJ
cuesj-1338	138	5	in	in	ADP
cuesj-1338	138	6	the	the	DET
cuesj-1338	138	7	quest	quest	NOUN
cuesj-1338	138	8	to	to	PART
cuesj-1338	138	9	build	build	VERB
cuesj-1338	138	10	optimal	optimal	ADJ
cuesj-1338	138	11	and	and	CCONJ
cuesj-1338	138	12	precise	precise	ADJ
cuesj-1338	138	13	models	model	NOUN
cuesj-1338	138	14	for	for	ADP
cuesj-1338	138	15	the	the	DET
cuesj-1338	138	16	classification	classification	NOUN
cuesj-1338	138	17	of	of	ADP
cuesj-1338	138	18	brain	brain	NOUN
cuesj-1338	138	19	subtypes	subtype	NOUN
cuesj-1338	138	20	from	from	ADP
cuesj-1338	138	21	gene	gene	NOUN
cuesj-1338	138	22	expression	expression	NOUN
cuesj-1338	138	23	data	datum	NOUN
cuesj-1338	138	24	.	.	PUNCT
cuesj-1338	139	1	the	the	DET
cuesj-1338	139	2	figure	figure	NOUN
cuesj-1338	139	3	illustrates	illustrate	VERB
cuesj-1338	139	4	the	the	DET
cuesj-1338	139	5	results	result	NOUN
cuesj-1338	139	6	of	of	ADP
cuesj-1338	139	7	cross	cross	NOUN
cuesj-1338	139	8	-	-	NOUN
cuesj-1338	139	9	validation	validation	NOUN
cuesj-1338	139	10	when	when	SCONJ
cuesj-1338	139	11	the	the	DET
cuesj-1338	139	12	elastic	elastic	ADJ
cuesj-1338	139	13	net	net	ADJ
cuesj-1338	139	14	method	method	NOUN
cuesj-1338	139	15	is	be	AUX
cuesj-1338	139	16	applied	apply	VERB
cuesj-1338	139	17	.	.	PUNCT
cuesj-1338	140	1	for	for	ADP
cuesj-1338	140	2	elastic	elastic	ADJ
cuesj-1338	140	3	net	net	NOUN
cuesj-1338	140	4	,	,	PUNCT
cuesj-1338	140	5	the	the	DET
cuesj-1338	140	6	lambda	lambda	NOUN
cuesj-1338	140	7	that	that	PRON
cuesj-1338	140	8	would	would	AUX
cuesj-1338	140	9	be	be	AUX
cuesj-1338	140	10	optimal	optimal	ADJ
cuesj-1338	140	11	is	be	AUX
cuesj-1338	140	12	0.00829563	0.00829563	NUM
cuesj-1338	140	13	.	.	PUNCT
cuesj-1338	141	1	this	this	DET
cuesj-1338	141	2	number	number	NOUN
cuesj-1338	141	3	will	will	AUX
cuesj-1338	141	4	be	be	AUX
cuesj-1338	141	5	employed	employ	VERB
cuesj-1338	141	6	in	in	ADP
cuesj-1338	141	7	further	further	ADJ
cuesj-1338	141	8	analysis	analysis	NOUN
cuesj-1338	141	9	for	for	ADP
cuesj-1338	141	10	the	the	DET
cuesj-1338	141	11	construction	construction	NOUN
cuesj-1338	141	12	of	of	ADP
cuesj-1338	141	13	final	final	ADJ
cuesj-1338	141	14	models	model	NOUN
cuesj-1338	141	15	of	of	ADP
cuesj-1338	141	16	the	the	DET
cuesj-1338	141	17	method	method	NOUN
cuesj-1338	141	18	.	.	PUNCT
cuesj-1338	142	1	figure	figure	NOUN
cuesj-1338	142	2	1	1	NUM
cuesj-1338	142	3	depicts	depict	VERB
cuesj-1338	142	4	the	the	DET
cuesj-1338	142	5	relationship	relationship	NOUN
cuesj-1338	142	6	between	between	ADP
cuesj-1338	142	7	model	model	NOUN
cuesj-1338	142	8	complexity	complexity	NOUN
cuesj-1338	142	9	and	and	CCONJ
cuesj-1338	142	10	tuning	tune	VERB
cuesj-1338	142	11	parameters	parameter	NOUN
cuesj-1338	142	12	.	.	PUNCT
cuesj-1338	143	1	the	the	DET
cuesj-1338	143	2	increase	increase	NOUN
cuesj-1338	143	3	in	in	ADP
cuesj-1338	143	4	lambda	lambda	NOUN
cuesj-1338	143	5	achieves	achieve	VERB
cuesj-1338	143	6	a	a	DET
cuesj-1338	143	7	greater	great	ADJ
cuesj-1338	143	8	penalty	penalty	NOUN
cuesj-1338	143	9	on	on	ADP
cuesj-1338	143	10	model	model	NOUN
cuesj-1338	143	11	coefficients	coefficient	NOUN
cuesj-1338	143	12	which	which	PRON
cuesj-1338	143	13	may	may	AUX
cuesj-1338	143	14	disturb	disturb	VERB
cuesj-1338	143	15	simpler	simple	ADJ
cuesj-1338	143	16	reconciliation	reconciliation	NOUN
cuesj-1338	143	17	of	of	ADP
cuesj-1338	143	18	models	model	NOUN
cuesj-1338	143	19	with	with	ADP
cuesj-1338	143	20	higher	high	ADJ
cuesj-1338	143	21	deviance	deviance	NOUN
cuesj-1338	143	22	.	.	PUNCT
cuesj-1338	144	1	the	the	DET
cuesj-1338	144	2	optimal	optimal	ADJ
cuesj-1338	144	3	value	value	NOUN
cuesj-1338	144	4	of	of	ADP
cuesj-1338	144	5	lambda	lambda	NOUN
cuesj-1338	144	6	therefore	therefore	ADV
cuesj-1338	144	7	is	be	AUX
cuesj-1338	144	8	the	the	DET
cuesj-1338	144	9	one	one	NOUN
cuesj-1338	144	10	that	that	PRON
cuesj-1338	144	11	tends	tend	VERB
cuesj-1338	144	12	to	to	PART
cuesj-1338	144	13	be	be	AUX
cuesj-1338	144	14	in	in	ADP
cuesj-1338	144	15	the	the	DET
cuesj-1338	144	16	middle	middle	NOUN
cuesj-1338	144	17	of	of	ADP
cuesj-1338	144	18	these	these	DET
cuesj-1338	144	19	two	two	NUM
cuesj-1338	144	20	minimization	minimization	NOUN
cuesj-1338	144	21	processes	process	NOUN
cuesj-1338	144	22	.	.	PUNCT
cuesj-1338	145	1	table	table	NOUN
cuesj-1338	145	2	2	2	NUM
cuesj-1338	145	3	demonstrates	demonstrate	VERB
cuesj-1338	145	4	the	the	DET
cuesj-1338	145	5	performance	performance	NOUN
cuesj-1338	145	6	of	of	ADP
cuesj-1338	145	7	the	the	DET
cuesj-1338	145	8	elastic	elastic	ADJ
cuesj-1338	145	9	net	net	ADJ
cuesj-1338	145	10	penalty	penalty	NOUN
cuesj-1338	145	11	application	application	NOUN
cuesj-1338	145	12	using	use	VERB
cuesj-1338	145	13	the	the	DET
cuesj-1338	145	14	optimum	optimum	ADJ
cuesj-1338	145	15	lambda	lambda	NOUN
cuesj-1338	145	16	value	value	NOUN
cuesj-1338	145	17	mahmood	mahmood	PROPN
cuesj-1338	145	18	and	and	CCONJ
cuesj-1338	145	19	kadir	kadir	PROPN
cuesj-1338	145	20	:	:	PUNCT
cuesj-1338	145	21	elastic	elastic	ADJ
cuesj-1338	145	22	net	net	NOUN
cuesj-1338	145	23	for	for	ADP
cuesj-1338	145	24	brain	brain	NOUN
cuesj-1338	145	25	cancer	cancer	NOUN
cuesj-1338	145	26	genetics	genetic	NOUN
cuesj-1338	145	27	18	18	NUM
cuesj-1338	145	28	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	145	29	cuesj	cuesj	NOUN
cuesj-1338	145	30	2025	2025	NUM
cuesj-1338	145	31	,	,	PUNCT
cuesj-1338	145	32	9	9	NUM
cuesj-1338	145	33	(	(	PUNCT
cuesj-1338	145	34	1	1	NUM
cuesj-1338	145	35	):	):	PUNCT
cuesj-1338	145	36	14	14	NUM
cuesj-1338	145	37	-	-	SYM
cuesj-1338	145	38	23	23	NUM
cuesj-1338	145	39	figure	figure	NOUN
cuesj-1338	145	40	1	1	NUM
cuesj-1338	145	41	:	:	PUNCT
cuesj-1338	145	42	cross	cross	ADJ
cuesj-1338	145	43	-	-	ADJ
cuesj-1338	145	44	validation	validation	ADJ
cuesj-1338	145	45	plots	plot	NOUN
cuesj-1338	145	46	to	to	PART
cuesj-1338	145	47	choose	choose	VERB
cuesj-1338	145	48	the	the	DET
cuesj-1338	145	49	optimal	optimal	ADJ
cuesj-1338	145	50	λ	λ	NOUN
cuesj-1338	145	51	to	to	PART
cuesj-1338	145	52	have	have	VERB
cuesj-1338	145	53	the	the	DET
cuesj-1338	145	54	minimum	minimum	ADJ
cuesj-1338	145	55	deviance	deviance	NOUN
cuesj-1338	145	56	table	table	NOUN
cuesj-1338	145	57	2	2	NUM
cuesj-1338	145	58	:	:	PUNCT
cuesj-1338	145	59	the	the	DET
cuesj-1338	145	60	performance	performance	NOUN
cuesj-1338	145	61	of	of	ADP
cuesj-1338	145	62	penalty	penalty	NOUN
cuesj-1338	145	63	methods	method	NOUN
cuesj-1338	145	64	based	base	VERB
cuesj-1338	145	65	on	on	ADP
cuesj-1338	145	66	the	the	DET
cuesj-1338	145	67	best	good	ADJ
cuesj-1338	145	68	lambda	lambda	NOUN
cuesj-1338	145	69	chosen	choose	VERB
cuesj-1338	145	70	from	from	ADP
cuesj-1338	145	71	cross	cross	ADJ
cuesj-1338	145	72	-	-	ADJ
cuesj-1338	145	73	validation	validation	ADJ
cuesj-1338	145	74	methods	method	NOUN
cuesj-1338	145	75	criteria	criteria	VERB
cuesj-1338	145	76	elastic	elastic	ADJ
cuesj-1338	145	77	net	net	ADJ
cuesj-1338	145	78	best	good	ADJ
cuesj-1338	145	79	lambda	lambda	NOUN
cuesj-1338	145	80	0.00829563	0.00829563	NUM
cuesj-1338	145	81	accuracy	accuracy	NOUN
cuesj-1338	145	82	0.875	0.875	NUM
cuesj-1338	145	83	kappa	kappa	NOUN
cuesj-1338	145	84	0.8294	0.8294	NUM
cuesj-1338	145	85	established	establish	VERB
cuesj-1338	145	86	in	in	ADP
cuesj-1338	145	87	figure	figure	NOUN
cuesj-1338	145	88	1	1	NUM
cuesj-1338	145	89	.	.	PUNCT
cuesj-1338	146	1	the	the	DET
cuesj-1338	146	2	performance	performance	NOUN
cuesj-1338	146	3	is	be	AUX
cuesj-1338	146	4	assessed	assess	VERB
cuesj-1338	146	5	according	accord	VERB
cuesj-1338	146	6	to	to	ADP
cuesj-1338	146	7	two	two	NUM
cuesj-1338	146	8	metrics	metric	NOUN
cuesj-1338	146	9	,	,	PUNCT
cuesj-1338	146	10	which	which	PRON
cuesj-1338	146	11	are	be	AUX
cuesj-1338	146	12	accuracy	accuracy	NOUN
cuesj-1338	146	13	the	the	DET
cuesj-1338	146	14	proportion	proportion	NOUN
cuesj-1338	146	15	of	of	ADP
cuesj-1338	146	16	the	the	DET
cuesj-1338	146	17	total	total	ADJ
cuesj-1338	146	18	samples	sample	NOUN
cuesj-1338	146	19	of	of	ADP
cuesj-1338	146	20	each	each	DET
cuesj-1338	146	21	type	type	NOUN
cuesj-1338	146	22	of	of	ADP
cuesj-1338	146	23	brain	brain	NOUN
cuesj-1338	146	24	cancer	cancer	NOUN
cuesj-1338	146	25	that	that	PRON
cuesj-1338	146	26	were	be	AUX
cuesj-1338	146	27	correctly	correctly	ADV
cuesj-1338	146	28	classified	classified	ADJ
cuesj-1338	146	29	,	,	PUNCT
cuesj-1338	146	30	and	and	CCONJ
cuesj-1338	146	31	kappa	kappa	VERB
cuesj-1338	146	32	an	an	DET
cuesj-1338	146	33	agreement	agreement	NOUN
cuesj-1338	146	34	measure	measure	NOUN
cuesj-1338	146	35	concerning	concern	VERB
cuesj-1338	146	36	the	the	DET
cuesj-1338	146	37	actual	actual	ADJ
cuesj-1338	146	38	and	and	CCONJ
cuesj-1338	146	39	predicted	predict	VERB
cuesj-1338	146	40	labels	label	NOUN
cuesj-1338	146	41	taking	take	VERB
cuesj-1338	146	42	into	into	ADP
cuesj-1338	146	43	account	account	NOUN
cuesj-1338	146	44	the	the	DET
cuesj-1338	146	45	chance	chance	NOUN
cuesj-1338	146	46	agreement	agreement	NOUN
cuesj-1338	146	47	.	.	PUNCT
cuesj-1338	147	1	the	the	DET
cuesj-1338	147	2	fact	fact	NOUN
cuesj-1338	147	3	that	that	SCONJ
cuesj-1338	147	4	the	the	DET
cuesj-1338	147	5	kappa	kappa	PROPN
cuesj-1338	147	6	value	value	NOUN
cuesj-1338	147	7	is	be	AUX
cuesj-1338	147	8	0.8294	0.8294	NUM
cuesj-1338	147	9	entails	entail	VERB
cuesj-1338	147	10	that	that	SCONJ
cuesj-1338	147	11	there	there	PRON
cuesj-1338	147	12	is	be	VERB
cuesj-1338	147	13	almost	almost	ADV
cuesj-1338	147	14	perfect	perfect	ADJ
cuesj-1338	147	15	agreement	agreement	NOUN
cuesj-1338	147	16	between	between	ADP
cuesj-1338	147	17	the	the	DET
cuesj-1338	147	18	model	model	NOUN
cuesj-1338	147	19	outputs	output	NOUN
cuesj-1338	147	20	and	and	CCONJ
cuesj-1338	147	21	the	the	DET
cuesj-1338	147	22	actual	actual	ADJ
cuesj-1338	147	23	observations	observation	NOUN
cuesj-1338	147	24	.	.	PUNCT
cuesj-1338	148	1	this	this	PRON
cuesj-1338	148	2	implies	imply	VERB
cuesj-1338	148	3	that	that	SCONJ
cuesj-1338	148	4	the	the	DET
cuesj-1338	148	5	model	model	NOUN
cuesj-1338	148	6	is	be	AUX
cuesj-1338	148	7	quite	quite	ADV
cuesj-1338	148	8	accurate	accurate	ADJ
cuesj-1338	148	9	and	and	CCONJ
cuesj-1338	148	10	distinguishes	distinguish	VERB
cuesj-1338	148	11	among	among	ADP
cuesj-1338	148	12	the	the	DET
cuesj-1338	148	13	several	several	ADJ
cuesj-1338	148	14	types	type	NOUN
cuesj-1338	148	15	of	of	ADP
cuesj-1338	148	16	brain	brain	NOUN
cuesj-1338	148	17	cancer	cancer	NOUN
cuesj-1338	148	18	much	much	ADV
cuesj-1338	148	19	better	well	ADV
cuesj-1338	148	20	than	than	ADP
cuesj-1338	148	21	chance	chance	NOUN
cuesj-1338	148	22	would	would	AUX
cuesj-1338	148	23	do	do	VERB
cuesj-1338	148	24	.	.	PUNCT
cuesj-1338	149	1	the	the	DET
cuesj-1338	149	2	results	result	NOUN
cuesj-1338	149	3	show	show	VERB
cuesj-1338	149	4	that	that	SCONJ
cuesj-1338	149	5	elastic	elastic	ADJ
cuesj-1338	149	6	net	net	NOUN
cuesj-1338	149	7	performs	perform	VERB
cuesj-1338	149	8	well	well	ADV
cuesj-1338	149	9	in	in	ADP
cuesj-1338	149	10	accuracy	accuracy	NOUN
cuesj-1338	149	11	with	with	ADP
cuesj-1338	149	12	a	a	DET
cuesj-1338	149	13	score	score	NOUN
cuesj-1338	149	14	of	of	ADP
cuesj-1338	149	15	87.5	87.5	NUM
cuesj-1338	149	16	%	%	NOUN
cuesj-1338	149	17	and	and	CCONJ
cuesj-1338	149	18	a	a	DET
cuesj-1338	149	19	kappa	kappa	ADJ
cuesj-1338	149	20	score	score	NOUN
cuesj-1338	149	21	of	of	ADP
cuesj-1338	149	22	0.8294	0.8294	NUM
cuesj-1338	149	23	.	.	PUNCT
cuesj-1338	150	1	this	this	PRON
cuesj-1338	150	2	means	mean	VERB
cuesj-1338	150	3	that	that	SCONJ
cuesj-1338	150	4	an	an	DET
cuesj-1338	150	5	elastic	elastic	ADJ
cuesj-1338	150	6	net	net	ADJ
cuesj-1338	150	7	model	model	NOUN
cuesj-1338	150	8	with	with	ADP
cuesj-1338	150	9	l1	l1	PROPN
cuesj-1338	150	10	and	and	CCONJ
cuesj-1338	150	11	l2	l2	NOUN
cuesj-1338	150	12	penalizing	penalize	VERB
cuesj-1338	150	13	factors	factor	NOUN
cuesj-1338	150	14	is	be	AUX
cuesj-1338	150	15	suitable	suitable	ADJ
cuesj-1338	150	16	for	for	ADP
cuesj-1338	150	17	the	the	DET
cuesj-1338	150	18	task	task	NOUN
cuesj-1338	150	19	at	at	ADP
cuesj-1338	150	20	hand	hand	NOUN
cuesj-1338	150	21	both	both	PRON
cuesj-1338	150	22	for	for	ADP
cuesj-1338	150	23	the	the	DET
cuesj-1338	150	24	fitting	fitting	NOUN
cuesj-1338	150	25	of	of	ADP
cuesj-1338	150	26	the	the	DET
cuesj-1338	150	27	data	datum	NOUN
cuesj-1338	150	28	and	and	CCONJ
cuesj-1338	150	29	controlling	control	VERB
cuesj-1338	150	30	model	model	NOUN
cuesj-1338	150	31	complexity	complexity	NOUN
cuesj-1338	150	32	.	.	PUNCT
cuesj-1338	151	1	table	table	NOUN
cuesj-1338	151	2	3	3	NUM
cuesj-1338	151	3	shows	show	VERB
cuesj-1338	151	4	the	the	DET
cuesj-1338	151	5	number	number	NOUN
cuesj-1338	151	6	of	of	ADP
cuesj-1338	151	7	genes	gene	NOUN
cuesj-1338	151	8	selected	select	VERB
cuesj-1338	151	9	(	(	PUNCT
cuesj-1338	151	10	those	those	PRON
cuesj-1338	151	11	with	with	ADP
cuesj-1338	151	12	non	non	ADJ
cuesj-1338	151	13	-	-	ADJ
cuesj-1338	151	14	zero	zero	NUM
cuesj-1338	151	15	coefficients	coefficient	NOUN
cuesj-1338	151	16	)	)	PUNCT
cuesj-1338	151	17	by	by	ADP
cuesj-1338	151	18	the	the	DET
cuesj-1338	151	19	elastic	elastic	ADJ
cuesj-1338	151	20	net	net	ADJ
cuesj-1338	151	21	method	method	NOUN
cuesj-1338	151	22	for	for	ADP
cuesj-1338	151	23	each	each	DET
cuesj-1338	151	24	one	one	NUM
cuesj-1338	151	25	of	of	ADP
cuesj-1338	151	26	the	the	DET
cuesj-1338	151	27	four	four	NUM
cuesj-1338	151	28	brain	brain	NOUN
cuesj-1338	151	29	subtypes	subtype	NOUN
cuesj-1338	151	30	.	.	PUNCT
cuesj-1338	152	1	the	the	DET
cuesj-1338	152	2	notable	notable	ADJ
cuesj-1338	152	3	point	point	NOUN
cuesj-1338	152	4	here	here	ADV
cuesj-1338	152	5	is	be	AUX
cuesj-1338	152	6	the	the	DET
cuesj-1338	152	7	compression	compression	NOUN
cuesj-1338	152	8	in	in	ADP
cuesj-1338	152	9	the	the	DET
cuesj-1338	152	10	dimensionality	dimensionality	NOUN
cuesj-1338	152	11	quite	quite	ADV
cuesj-1338	152	12	significantly	significantly	ADV
cuesj-1338	152	13	brought	bring	VERB
cuesj-1338	152	14	about	about	ADP
cuesj-1338	152	15	by	by	ADP
cuesj-1338	152	16	the	the	DET
cuesj-1338	152	17	elastic	elastic	ADJ
cuesj-1338	152	18	net	net	NOUN
cuesj-1338	152	19	penalized	penalize	VERB
cuesj-1338	152	20	method	method	NOUN
cuesj-1338	152	21	.	.	PUNCT
cuesj-1338	153	1	elastic	elastic	ADJ
cuesj-1338	153	2	net	net	NOUN
cuesj-1338	153	3	performs	perform	VERB
cuesj-1338	153	4	feature	feature	NOUN
cuesj-1338	153	5	selection	selection	NOUN
cuesj-1338	153	6	because	because	SCONJ
cuesj-1338	153	7	some	some	DET
cuesj-1338	153	8	coefficients	coefficient	NOUN
cuesj-1338	153	9	become	become	VERB
cuesj-1338	153	10	zero	zero	NUM
cuesj-1338	153	11	,	,	PUNCT
cuesj-1338	153	12	leading	lead	VERB
cuesj-1338	153	13	to	to	ADP
cuesj-1338	153	14	sparser	sparse	ADJ
cuesj-1338	153	15	models	model	NOUN
cuesj-1338	153	16	.	.	PUNCT
cuesj-1338	154	1	sparser	sparse	ADJ
cuesj-1338	154	2	models	model	NOUN
cuesj-1338	154	3	are	be	AUX
cuesj-1338	154	4	created	create	VERB
cuesj-1338	154	5	by	by	ADP
cuesj-1338	154	6	setting	set	VERB
cuesj-1338	154	7	specific	specific	ADJ
cuesj-1338	154	8	coefficients	coefficient	NOUN
cuesj-1338	154	9	equal	equal	ADJ
cuesj-1338	154	10	to	to	ADP
cuesj-1338	154	11	zero	zero	NUM
cuesj-1338	154	12	.	.	PUNCT
cuesj-1338	155	1	as	as	ADP
cuesj-1338	155	2	a	a	DET
cuesj-1338	155	3	result	result	NOUN
cuesj-1338	155	4	,	,	PUNCT
cuesj-1338	155	5	instead	instead	ADV
cuesj-1338	155	6	of	of	ADP
cuesj-1338	155	7	estimating	estimate	VERB
cuesj-1338	155	8	a	a	DET
cuesj-1338	155	9	huge	huge	ADJ
cuesj-1338	155	10	number	number	NOUN
cuesj-1338	155	11	of	of	ADP
cuesj-1338	155	12	16384	16384	NUM
cuesj-1338	155	13	variables	variable	NOUN
cuesj-1338	155	14	,	,	PUNCT
cuesj-1338	155	15	the	the	DET
cuesj-1338	155	16	elastic	elastic	ADJ
cuesj-1338	155	17	net	net	ADJ
cuesj-1338	155	18	method	method	NOUN
cuesj-1338	155	19	has	have	AUX
cuesj-1338	155	20	selected	select	VERB
cuesj-1338	155	21	54	54	NUM
cuesj-1338	155	22	variables	variable	NOUN
cuesj-1338	155	23	for	for	ADP
cuesj-1338	155	24	ependymoma	ependymoma	NOUN
cuesj-1338	155	25	,	,	PUNCT
cuesj-1338	155	26	79	79	NUM
cuesj-1338	155	27	variables	variable	NOUN
cuesj-1338	155	28	for	for	ADP
cuesj-1338	155	29	glioblastoma	glioblastoma	NOUN
cuesj-1338	155	30	,	,	PUNCT
cuesj-1338	155	31	46	46	NUM
cuesj-1338	155	32	variables	variable	NOUN
cuesj-1338	155	33	for	for	ADP
cuesj-1338	155	34	medulloblastoma	medulloblastoma	NOUN
cuesj-1338	155	35	,	,	PUNCT
cuesj-1338	155	36	and	and	CCONJ
cuesj-1338	155	37	58	58	NUM
cuesj-1338	155	38	variables	variable	NOUN
cuesj-1338	155	39	for	for	ADP
cuesj-1338	155	40	pilocytic	pilocytic	ADJ
cuesj-1338	155	41	astrocytoma	astrocytoma	NOUN
cuesj-1338	155	42	of	of	ADP
cuesj-1338	155	43	brain	brain	NOUN
cuesj-1338	155	44	cancers	cancer	NOUN
cuesj-1338	155	45	subtypes	subtype	NOUN
cuesj-1338	155	46	.	.	PUNCT
cuesj-1338	156	1	such	such	ADJ
cuesj-1338	156	2	sparsity	sparsity	NOUN
cuesj-1338	156	3	may	may	AUX
cuesj-1338	156	4	significantly	significantly	ADV
cuesj-1338	156	5	improve	improve	VERB
cuesj-1338	156	6	both	both	DET
cuesj-1338	156	7	interpretability	interpretability	NOUN
cuesj-1338	156	8	and	and	CCONJ
cuesj-1338	156	9	computational	computational	ADJ
cuesj-1338	156	10	efficiency	efficiency	NOUN
cuesj-1338	156	11	.	.	PUNCT
cuesj-1338	157	1	moreover	moreover	ADV
cuesj-1338	157	2	,	,	PUNCT
cuesj-1338	157	3	the	the	DET
cuesj-1338	157	4	names	name	NOUN
cuesj-1338	157	5	and	and	CCONJ
cuesj-1338	157	6	coefficients	coefficient	NOUN
cuesj-1338	157	7	of	of	ADP
cuesj-1338	157	8	all	all	DET
cuesj-1338	157	9	the	the	DET
cuesj-1338	157	10	selected	select	VERB
cuesj-1338	157	11	genes	gene	NOUN
cuesj-1338	157	12	by	by	ADP
cuesj-1338	157	13	elastic	elastic	ADJ
cuesj-1338	157	14	net	net	NOUN
cuesj-1338	157	15	are	be	AUX
cuesj-1338	157	16	given	give	VERB
cuesj-1338	157	17	in	in	ADP
cuesj-1338	157	18	table	table	NOUN
cuesj-1338	157	19	1	1	NUM
cuesj-1338	157	20	[	[	X
cuesj-1338	157	21	appendix	appendix	NOUN
cuesj-1338	157	22	]	]	PUNCT
cuesj-1338	157	23	.	.	PUNCT
cuesj-1338	158	1	figure	figure	NOUN
cuesj-1338	158	2	2	2	NUM
cuesj-1338	158	3	shows	show	VERB
cuesj-1338	158	4	the	the	DET
cuesj-1338	158	5	number	number	NOUN
cuesj-1338	158	6	of	of	ADP
cuesj-1338	158	7	selected	select	VERB
cuesj-1338	158	8	variables	variable	NOUN
cuesj-1338	158	9	(	(	PUNCT
cuesj-1338	158	10	genes	gene	NOUN
cuesj-1338	158	11	)	)	PUNCT
cuesj-1338	158	12	for	for	ADP
cuesj-1338	158	13	the	the	DET
cuesj-1338	158	14	elastic	elastic	ADJ
cuesj-1338	158	15	net	net	ADJ
cuesj-1338	158	16	method	method	NOUN
cuesj-1338	158	17	across	across	ADP
cuesj-1338	158	18	all	all	DET
cuesj-1338	158	19	four	four	NUM
cuesj-1338	158	20	classes	class	NOUN
cuesj-1338	158	21	.	.	PUNCT
cuesj-1338	159	1	the	the	DET
cuesj-1338	159	2	bar	bar	NOUN
cuesj-1338	159	3	chart	chart	NOUN
cuesj-1338	159	4	clearly	clearly	ADV
cuesj-1338	159	5	demonstrates	demonstrate	VERB
cuesj-1338	159	6	the	the	DET
cuesj-1338	159	7	sparsity	sparsity	NOUN
cuesj-1338	159	8	of	of	ADP
cuesj-1338	159	9	elastic	elastic	ADJ
cuesj-1338	159	10	net	net	NOUN
cuesj-1338	159	11	,	,	PUNCT
cuesj-1338	159	12	highlighting	highlight	VERB
cuesj-1338	159	13	their	their	PRON
cuesj-1338	159	14	variable	variable	ADJ
cuesj-1338	159	15	selection	selection	NOUN
cuesj-1338	159	16	capability	capability	NOUN
cuesj-1338	159	17	.	.	PUNCT
cuesj-1338	160	1	the	the	DET
cuesj-1338	160	2	performance	performance	NOUN
cuesj-1338	160	3	evaluation	evaluation	NOUN
cuesj-1338	160	4	for	for	ADP
cuesj-1338	160	5	the	the	DET
cuesj-1338	160	6	sparsity	sparsity	NOUN
cuesj-1338	160	7	regularization	regularization	NOUN
cuesj-1338	160	8	method	method	NOUN
cuesj-1338	160	9	of	of	ADP
cuesj-1338	160	10	elastic	elastic	ADJ
cuesj-1338	160	11	net	net	NOUN
cuesj-1338	160	12	in	in	ADP
cuesj-1338	160	13	classifying	classify	VERB
cuesj-1338	160	14	brain	brain	NOUN
cuesj-1338	160	15	tumor	tumor	NOUN
cuesj-1338	160	16	subtypes	subtype	NOUN
cuesj-1338	160	17	was	be	AUX
cuesj-1338	160	18	conducted	conduct	VERB
cuesj-1338	160	19	and	and	CCONJ
cuesj-1338	160	20	the	the	DET
cuesj-1338	160	21	results	result	NOUN
cuesj-1338	160	22	are	be	AUX
cuesj-1338	160	23	represented	represent	VERB
cuesj-1338	160	24	in	in	ADP
cuesj-1338	160	25	table	table	NOUN
cuesj-1338	160	26	4	4	NUM
cuesj-1338	160	27	and	and	CCONJ
cuesj-1338	160	28	figure	figure	VERB
cuesj-1338	160	29	2	2	NUM
cuesj-1338	160	30	:	:	PUNCT
cuesj-1338	160	31	non	non	ADJ
cuesj-1338	160	32	-	-	ADJ
cuesj-1338	160	33	zero	zero	NUM
cuesj-1338	160	34	coefficients	coefficient	NOUN
cuesj-1338	160	35	(	(	PUNCT
cuesj-1338	160	36	genes	gene	NOUN
cuesj-1338	160	37	selection	selection	NOUN
cuesj-1338	160	38	)	)	PUNCT
cuesj-1338	160	39	based	base	VERB
cuesj-1338	160	40	on	on	ADP
cuesj-1338	160	41	classes	class	NOUN
cuesj-1338	160	42	table	table	VERB
cuesj-1338	160	43	3	3	NUM
cuesj-1338	160	44	:	:	PUNCT
cuesj-1338	160	45	number	number	NOUN
cuesj-1338	160	46	of	of	ADP
cuesj-1338	160	47	genes	gene	NOUN
cuesj-1338	160	48	selected	select	VERB
cuesj-1338	160	49	by	by	ADP
cuesj-1338	160	50	elastic	elastic	ADJ
cuesj-1338	160	51	net	net	ADJ
cuesj-1338	160	52	regularization	regularization	NOUN
cuesj-1338	160	53	method	method	NOUN
cuesj-1338	160	54	within	within	ADP
cuesj-1338	160	55	each	each	DET
cuesj-1338	160	56	class	class	NOUN
cuesj-1338	160	57	classes	class	NOUN
cuesj-1338	160	58	penalty	penalty	NOUN
cuesj-1338	160	59	methods	method	VERB
cuesj-1338	160	60	elastic	elastic	ADJ
cuesj-1338	160	61	net	net	ADJ
cuesj-1338	160	62	ependymoma	ependymoma	NOUN
cuesj-1338	160	63	54	54	NUM
cuesj-1338	160	64	glioblastoma	glioblastoma	NOUN
cuesj-1338	160	65	79	79	NUM
cuesj-1338	160	66	medulloblastoma	medulloblastoma	NOUN
cuesj-1338	161	1	46	46	NUM
cuesj-1338	161	2	pilocytic_astrocytoma	pilocytic_astrocytoma	NUM
cuesj-1338	161	3	58	58	NUM
cuesj-1338	161	4	figure	figure	NOUN
cuesj-1338	161	5	3	3	NUM
cuesj-1338	161	6	.	.	PUNCT
cuesj-1338	162	1	the	the	DET
cuesj-1338	162	2	evaluation	evaluation	NOUN
cuesj-1338	162	3	metrics	metric	NOUN
cuesj-1338	162	4	used	use	VERB
cuesj-1338	162	5	are	be	AUX
cuesj-1338	162	6	auc	auc	ADJ
cuesj-1338	162	7	values	value	NOUN
cuesj-1338	162	8	,	,	PUNCT
cuesj-1338	162	9	which	which	PRON
cuesj-1338	162	10	quantify	quantify	VERB
cuesj-1338	162	11	the	the	DET
cuesj-1338	162	12	overall	overall	ADJ
cuesj-1338	162	13	ability	ability	NOUN
cuesj-1338	162	14	of	of	ADP
cuesj-1338	162	15	a	a	DET
cuesj-1338	162	16	model	model	NOUN
cuesj-1338	162	17	to	to	PART
cuesj-1338	162	18	discriminate	discriminate	VERB
cuesj-1338	162	19	a	a	DET
cuesj-1338	162	20	target	target	NOUN
cuesj-1338	162	21	class	class	NOUN
cuesj-1338	162	22	among	among	ADP
cuesj-1338	162	23	a	a	DET
cuesj-1338	162	24	set	set	NOUN
cuesj-1338	162	25	of	of	ADP
cuesj-1338	162	26	classes	class	NOUN
cuesj-1338	162	27	(	(	PUNCT
cuesj-1338	162	28	brain	brain	NOUN
cuesj-1338	162	29	cancer	cancer	NOUN
cuesj-1338	162	30	subtypes	subtype	NOUN
cuesj-1338	162	31	in	in	ADP
cuesj-1338	162	32	this	this	DET
cuesj-1338	162	33	case	case	NOUN
cuesj-1338	162	34	)	)	PUNCT
cuesj-1338	162	35	.	.	PUNCT
cuesj-1338	163	1	according	accord	VERB
cuesj-1338	163	2	to	to	ADP
cuesj-1338	163	3	the	the	DET
cuesj-1338	163	4	results	result	NOUN
cuesj-1338	163	5	,	,	PUNCT
cuesj-1338	163	6	the	the	DET
cuesj-1338	163	7	elastic	elastic	ADJ
cuesj-1338	163	8	net	net	NOUN
cuesj-1338	163	9	performs	perform	VERB
cuesj-1338	163	10	remarkably	remarkably	ADV
cuesj-1338	163	11	very	very	ADV
cuesj-1338	163	12	well	well	ADV
cuesj-1338	163	13	for	for	ADP
cuesj-1338	163	14	most	most	ADJ
cuesj-1338	163	15	subtypes	subtype	NOUN
cuesj-1338	163	16	,	,	PUNCT
cuesj-1338	163	17	in	in	ADP
cuesj-1338	163	18	some	some	DET
cuesj-1338	163	19	settings	setting	NOUN
cuesj-1338	163	20	the	the	DET
cuesj-1338	163	21	auc	auc	NOUN
cuesj-1338	163	22	is	be	AUX
cuesj-1338	163	23	close	close	ADJ
cuesj-1338	163	24	to	to	ADP
cuesj-1338	163	25	one	one	NUM
cuesj-1338	163	26	.	.	PUNCT
cuesj-1338	164	1	in	in	ADP
cuesj-1338	164	2	such	such	DET
cuesj-1338	164	3	a	a	DET
cuesj-1338	164	4	way	way	NOUN
cuesj-1338	164	5	that	that	PRON
cuesj-1338	164	6	it	it	PRON
cuesj-1338	164	7	consistently	consistently	ADV
cuesj-1338	164	8	attains	attain	VERB
cuesj-1338	164	9	aucs	aucs	NOUN
cuesj-1338	164	10	of	of	ADP
cuesj-1338	164	11	1	1	NUM
cuesj-1338	164	12	for	for	ADP
cuesj-1338	164	13	the	the	DET
cuesj-1338	164	14	ependymoma	ependymoma	NOUN
cuesj-1338	164	15	subtype	subtype	NOUN
cuesj-1338	164	16	,	,	PUNCT
cuesj-1338	164	17	it	it	PRON
cuesj-1338	164	18	means	mean	VERB
cuesj-1338	164	19	it	it	PRON
cuesj-1338	164	20	is	be	AUX
cuesj-1338	164	21	always	always	ADV
cuesj-1338	164	22	perfect	perfect	ADJ
cuesj-1338	164	23	in	in	ADP
cuesj-1338	164	24	classifying	classify	VERB
cuesj-1338	164	25	this	this	DET
cuesj-1338	164	26	type	type	NOUN
cuesj-1338	164	27	of	of	ADP
cuesj-1338	164	28	brain	brain	NOUN
cuesj-1338	164	29	cancer	cancer	NOUN
cuesj-1338	164	30	.	.	PUNCT
cuesj-1338	165	1	furthermore	furthermore	ADV
cuesj-1338	165	2	,	,	PUNCT
cuesj-1338	165	3	macroaveraged	macroaverage	VERB
cuesj-1338	165	4	auc	auc	NOUN
cuesj-1338	165	5	,	,	PUNCT
cuesj-1338	165	6	which	which	PRON
cuesj-1338	165	7	is	be	AUX
cuesj-1338	165	8	a	a	DET
cuesj-1338	165	9	global	global	ADJ
cuesj-1338	165	10	measure	measure	NOUN
cuesj-1338	165	11	of	of	ADP
cuesj-1338	165	12	performance	performance	NOUN
cuesj-1338	165	13	across	across	ADP
cuesj-1338	165	14	all	all	DET
cuesj-1338	165	15	subtypes	subtype	NOUN
cuesj-1338	165	16	,	,	PUNCT
cuesj-1338	165	17	also	also	ADV
cuesj-1338	165	18	indicates	indicate	VERB
cuesj-1338	165	19	that	that	SCONJ
cuesj-1338	165	20	elastic	elastic	ADJ
cuesj-1338	165	21	net	net	NOUN
cuesj-1338	165	22	is	be	AUX
cuesj-1338	165	23	the	the	DET
cuesj-1338	165	24	best	good	ADJ
cuesj-1338	165	25	performer	performer	NOUN
cuesj-1338	165	26	in	in	ADP
cuesj-1338	165	27	all	all	ADV
cuesj-1338	165	28	with	with	ADP
cuesj-1338	165	29	0.972027	0.972027	NUM
cuesj-1338	165	30	.	.	PUNCT
cuesj-1338	166	1	table	table	NOUN
cuesj-1338	166	2	4	4	NUM
cuesj-1338	166	3	:	:	PUNCT
cuesj-1338	166	4	the	the	DET
cuesj-1338	166	5	values	value	NOUN
cuesj-1338	166	6	of	of	ADP
cuesj-1338	166	7	auc	auc	NOUN
cuesj-1338	166	8	for	for	ADP
cuesj-1338	166	9	each	each	DET
cuesj-1338	166	10	subtype	subtype	NOUN
cuesj-1338	166	11	or	or	CCONJ
cuesj-1338	166	12	class	class	NOUN
cuesj-1338	166	13	classes	class	NOUN
cuesj-1338	166	14	area	area	NOUN
cuesj-1338	166	15	under	under	ADP
cuesj-1338	166	16	the	the	DET
cuesj-1338	166	17	curve	curve	NOUN
cuesj-1338	166	18	(	(	PUNCT
cuesj-1338	166	19	auc	auc	NOUN
cuesj-1338	166	20	)	)	PUNCT
cuesj-1338	166	21	elastic	elastic	ADJ
cuesj-1338	166	22	net	net	ADJ
cuesj-1338	166	23	ependymoma	ependymoma	NOUN
cuesj-1338	166	24	1	1	NUM
cuesj-1338	166	25	glioblastoma	glioblastoma	NOUN
cuesj-1338	166	26	0.9907	0.9907	NUM
cuesj-1338	166	27	medulloblastoma	medulloblastoma	NOUN
cuesj-1338	166	28	0.9474	0.9474	NUM
cuesj-1338	166	29	pilocytic	pilocytic	ADJ
cuesj-1338	166	30	_	_	PRON
cuesj-1338	166	31	astrocytoma	astrocytoma	NOUN
cuesj-1338	166	32	0.95	0.95	NUM
cuesj-1338	166	33	mahmood	mahmood	PROPN
cuesj-1338	166	34	and	and	CCONJ
cuesj-1338	166	35	kadir	kadir	PROPN
cuesj-1338	166	36	:	:	PUNCT
cuesj-1338	166	37	elastic	elastic	ADJ
cuesj-1338	166	38	net	net	NOUN
cuesj-1338	166	39	for	for	ADP
cuesj-1338	166	40	brain	brain	NOUN
cuesj-1338	166	41	cancer	cancer	NOUN
cuesj-1338	166	42	genetics	genetic	NOUN
cuesj-1338	166	43	19	19	NUM
cuesj-1338	166	44	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	166	45	cuesj	cuesj	NOUN
cuesj-1338	166	46	2025	2025	NUM
cuesj-1338	166	47	,	,	PUNCT
cuesj-1338	166	48	9	9	NUM
cuesj-1338	166	49	(	(	PUNCT
cuesj-1338	166	50	1	1	NUM
cuesj-1338	166	51	):	):	PUNCT
cuesj-1338	166	52	14	14	NUM
cuesj-1338	166	53	-	-	SYM
cuesj-1338	166	54	23	23	NUM
cuesj-1338	166	55	figure	figure	NOUN
cuesj-1338	166	56	3	3	NUM
cuesj-1338	166	57	:	:	PUNCT
cuesj-1338	166	58	receiver	receiver	ADJ
cuesj-1338	166	59	operating	operate	VERB
cuesj-1338	166	60	characteristic	characteristic	NOUN
cuesj-1338	166	61	(	(	PUNCT
cuesj-1338	166	62	roc	roc	PROPN
cuesj-1338	166	63	)	)	PUNCT
cuesj-1338	166	64	and	and	CCONJ
cuesj-1338	166	65	macro	macro	ADJ
cuesj-1338	166	66	average	average	ADJ
cuesj-1338	166	67	roc	roc	PROPN
cuesj-1338	166	68	curves	curve	NOUN
cuesj-1338	166	69	for	for	ADP
cuesj-1338	166	70	each	each	DET
cuesj-1338	166	71	method	method	NOUN
cuesj-1338	166	72	table	table	NOUN
cuesj-1338	166	73	5	5	NUM
cuesj-1338	166	74	:	:	PUNCT
cuesj-1338	166	75	performance	performance	NOUN
cuesj-1338	166	76	criteria	criterion	NOUN
cuesj-1338	166	77	for	for	ADP
cuesj-1338	166	78	methods	method	NOUN
cuesj-1338	166	79	based	base	VERB
cuesj-1338	166	80	on	on	ADP
cuesj-1338	166	81	the	the	DET
cuesj-1338	166	82	subtypes	subtype	NOUN
cuesj-1338	166	83	of	of	ADP
cuesj-1338	166	84	brain	brain	NOUN
cuesj-1338	166	85	cancer	cancer	NOUN
cuesj-1338	166	86	penalty	penalty	NOUN
cuesj-1338	166	87	method	method	NOUN
cuesj-1338	166	88	classes	class	NOUN
cuesj-1338	166	89	sensitivity	sensitivity	NOUN
cuesj-1338	166	90	specificity	specificity	NOUN
cuesj-1338	166	91	positive	positive	ADJ
cuesj-1338	166	92	pred	pred	ADJ
cuesj-1338	166	93	value	value	NOUN
cuesj-1338	166	94	negative	negative	ADJ
cuesj-1338	166	95	pred	pred	ADJ
cuesj-1338	166	96	value	value	NOUN
cuesj-1338	166	97	precision	precision	NOUN
cuesj-1338	166	98	recall	recall	NOUN
cuesj-1338	166	99	f1	f1	NOUN
cuesj-1338	166	100	-	-	PUNCT
cuesj-1338	166	101	score	score	NOUN
cuesj-1338	166	102	elastic	elastic	ADJ
cuesj-1338	166	103	net	net	ADJ
cuesj-1338	166	104	ependymoma	ependymoma	NOUN
cuesj-1338	166	105	1	1	NUM
cuesj-1338	166	106	1	1	NUM
cuesj-1338	166	107	1	1	NUM
cuesj-1338	166	108	1	1	NUM
cuesj-1338	166	109	1	1	NUM
cuesj-1338	166	110	1	1	NUM
cuesj-1338	166	111	1	1	NUM
cuesj-1338	166	112	glioblastoma	glioblastoma	NOUN
cuesj-1338	166	113	0.8333	0.8333	NUM
cuesj-1338	166	114	1	1	NUM
cuesj-1338	166	115	1	1	NUM
cuesj-1338	166	116	0.9474	0.9474	NUM
cuesj-1338	166	117	0.8333	0.8333	NUM
cuesj-1338	166	118	1	1	NUM
cuesj-1338	166	119	0.9091	0.9091	NUM
cuesj-1338	166	120	medulloblastoma	medulloblastoma	NOUN
cuesj-1338	166	121	0.6	0.6	NUM
cuesj-1338	166	122	1	1	NUM
cuesj-1338	166	123	1	1	NUM
cuesj-1338	166	124	0.9048	0.9048	NUM
cuesj-1338	166	125	0.6	0.6	NUM
cuesj-1338	166	126	1	1	NUM
cuesj-1338	166	127	0.75	0.75	NUM
cuesj-1338	166	128	pilocytic	pilocytic	ADJ
cuesj-1338	166	129	astrocytoma	astrocytoma	NOUN
cuesj-1338	166	130	1	1	NUM
cuesj-1338	166	131	0.85	0.85	NUM
cuesj-1338	166	132	0.5714	0.5714	NUM
cuesj-1338	166	133	1	1	NUM
cuesj-1338	166	134	1	1	NUM
cuesj-1338	166	135	0.5714	0.5714	NUM
cuesj-1338	166	136	0.7273	0.7273	NUM
cuesj-1338	166	137	the	the	DET
cuesj-1338	166	138	effectiveness	effectiveness	NOUN
cuesj-1338	166	139	of	of	ADP
cuesj-1338	166	140	the	the	DET
cuesj-1338	166	141	model	model	NOUN
cuesj-1338	166	142	improves	improve	VERB
cuesj-1338	166	143	the	the	DET
cuesj-1338	166	144	more	more	ADJ
cuesj-1338	166	145	the	the	DET
cuesj-1338	166	146	curve	curve	NOUN
cuesj-1338	166	147	approaches	approach	VERB
cuesj-1338	166	148	the	the	DET
cuesj-1338	166	149	upper	upper	ADJ
cuesj-1338	166	150	left	left	NOUN
cuesj-1338	166	151	corner	corner	NOUN
cuesj-1338	166	152	.	.	PUNCT
cuesj-1338	167	1	therefore	therefore	ADV
cuesj-1338	167	2	,	,	PUNCT
cuesj-1338	167	3	all	all	DET
cuesj-1338	167	4	the	the	DET
cuesj-1338	167	5	curves	curve	NOUN
cuesj-1338	167	6	begin	begin	VERB
cuesj-1338	167	7	with	with	ADP
cuesj-1338	167	8	a	a	DET
cuesj-1338	167	9	steep	steep	ADJ
cuesj-1338	167	10	slope	slope	NOUN
cuesj-1338	167	11	.	.	PUNCT
cuesj-1338	168	1	in	in	ADP
cuesj-1338	168	2	addition	addition	NOUN
cuesj-1338	168	3	,	,	PUNCT
cuesj-1338	168	4	the	the	DET
cuesj-1338	168	5	graphs	graph	NOUN
cuesj-1338	168	6	of	of	ADP
cuesj-1338	168	7	the	the	DET
cuesj-1338	168	8	individual	individual	ADJ
cuesj-1338	168	9	roc	roc	PROPN
cuesj-1338	168	10	curves	curve	NOUN
cuesj-1338	168	11	of	of	ADP
cuesj-1338	168	12	the	the	DET
cuesj-1338	168	13	subtypes	subtype	NOUN
cuesj-1338	168	14	also	also	ADV
cuesj-1338	168	15	emphasize	emphasize	VERB
cuesj-1338	168	16	the	the	DET
cuesj-1338	168	17	performance	performance	NOUN
cuesj-1338	168	18	of	of	ADP
cuesj-1338	168	19	elastic	elastic	ADJ
cuesj-1338	168	20	net	net	NOUN
cuesj-1338	168	21	further	far	ADV
cuesj-1338	168	22	for	for	ADP
cuesj-1338	168	23	the	the	DET
cuesj-1338	168	24	subtypes	subtype	NOUN
cuesj-1338	168	25	where	where	SCONJ
cuesj-1338	168	26	they	they	PRON
cuesj-1338	168	27	obtained	obtain	VERB
cuesj-1338	168	28	perfect	perfect	ADJ
cuesj-1338	168	29	auc	auc	NOUN
cuesj-1338	168	30	.	.	PUNCT
cuesj-1338	169	1	in	in	ADP
cuesj-1338	169	2	general	general	ADJ
cuesj-1338	169	3	,	,	PUNCT
cuesj-1338	169	4	elastic	elastic	ADJ
cuesj-1338	169	5	net	net	NOUN
cuesj-1338	169	6	portrays	portray	VERB
cuesj-1338	169	7	strong	strong	ADJ
cuesj-1338	169	8	discriminative	discriminative	NOUN
cuesj-1338	169	9	power	power	NOUN
cuesj-1338	169	10	in	in	ADP
cuesj-1338	169	11	the	the	DET
cuesj-1338	169	12	classification	classification	NOUN
cuesj-1338	169	13	of	of	ADP
cuesj-1338	169	14	brain	brain	NOUN
cuesj-1338	169	15	cancer	cancer	NOUN
cuesj-1338	169	16	subtypes	subtype	NOUN
cuesj-1338	169	17	as	as	SCONJ
cuesj-1338	169	18	indicated	indicate	VERB
cuesj-1338	169	19	by	by	ADP
cuesj-1338	169	20	the	the	DET
cuesj-1338	169	21	high	high	ADJ
cuesj-1338	169	22	auc	auc	NOUN
cuesj-1338	169	23	values	value	NOUN
cuesj-1338	169	24	and	and	CCONJ
cuesj-1338	169	25	roc	roc	PROPN
cuesj-1338	169	26	curves	curve	NOUN
cuesj-1338	169	27	.	.	PUNCT
cuesj-1338	170	1	the	the	DET
cuesj-1338	170	2	results	result	NOUN
cuesj-1338	170	3	also	also	ADV
cuesj-1338	170	4	show	show	VERB
cuesj-1338	170	5	that	that	SCONJ
cuesj-1338	170	6	techniques	technique	NOUN
cuesj-1338	170	7	which	which	PRON
cuesj-1338	170	8	promote	promote	VERB
cuesj-1338	170	9	sparsity	sparsity	NOUN
cuesj-1338	170	10	such	such	ADJ
cuesj-1338	170	11	as	as	ADP
cuesj-1338	170	12	elastic	elastic	ADJ
cuesj-1338	170	13	net	net	NOUN
cuesj-1338	170	14	can	can	AUX
cuesj-1338	170	15	greatly	greatly	ADV
cuesj-1338	170	16	enhance	enhance	VERB
cuesj-1338	170	17	multinomial	multinomial	ADJ
cuesj-1338	170	18	logistic	logistic	ADJ
cuesj-1338	170	19	regression	regression	NOUN
cuesj-1338	170	20	models	model	NOUN
cuesj-1338	170	21	,	,	PUNCT
cuesj-1338	170	22	which	which	PRON
cuesj-1338	170	23	in	in	ADP
cuesj-1338	170	24	turn	turn	NOUN
cuesj-1338	170	25	can	can	AUX
cuesj-1338	170	26	be	be	AUX
cuesj-1338	170	27	used	use	VERB
cuesj-1338	170	28	in	in	ADP
cuesj-1338	170	29	classifying	classify	VERB
cuesj-1338	170	30	brain	brain	NOUN
cuesj-1338	170	31	cancer	cancer	NOUN
cuesj-1338	170	32	subtypes	subtype	NOUN
cuesj-1338	170	33	with	with	ADP
cuesj-1338	170	34	more	more	ADJ
cuesj-1338	170	35	than	than	ADP
cuesj-1338	170	36	a	a	DET
cuesj-1338	170	37	thousand	thousand	NUM
cuesj-1338	170	38	-	-	PUNCT
cuesj-1338	170	39	dimensional	dimensional	ADJ
cuesj-1338	170	40	gene	gene	NOUN
cuesj-1338	170	41	data	datum	NOUN
cuesj-1338	170	42	.	.	PUNCT
cuesj-1338	171	1	table	table	NOUN
cuesj-1338	171	2	5	5	NUM
cuesj-1338	171	3	illustrates	illustrate	VERB
cuesj-1338	171	4	the	the	DET
cuesj-1338	171	5	performance	performance	NOUN
cuesj-1338	171	6	metric	metric	ADJ
cuesj-1338	171	7	outcomes	outcome	NOUN
cuesj-1338	171	8	of	of	ADP
cuesj-1338	171	9	the	the	DET
cuesj-1338	171	10	sparsity	sparsity	NOUN
cuesj-1338	171	11	regularization	regularization	NOUN
cuesj-1338	171	12	method	method	NOUN
cuesj-1338	171	13	of	of	ADP
cuesj-1338	171	14	elastic	elastic	ADJ
cuesj-1338	171	15	net	net	NOUN
cuesj-1338	171	16	on	on	ADP
cuesj-1338	171	17	different	different	ADJ
cuesj-1338	171	18	subtypes	subtype	NOUN
cuesj-1338	171	19	of	of	ADP
cuesj-1338	171	20	brain	brain	NOUN
cuesj-1338	171	21	cancers	cancer	NOUN
cuesj-1338	171	22	.	.	PUNCT
cuesj-1338	172	1	generally	generally	ADV
cuesj-1338	172	2	,	,	PUNCT
cuesj-1338	172	3	among	among	ADP
cuesj-1338	172	4	the	the	DET
cuesj-1338	172	5	subtypes	subtype	NOUN
cuesj-1338	172	6	of	of	ADP
cuesj-1338	172	7	ependymoma	ependymoma	NOUN
cuesj-1338	172	8	,	,	PUNCT
cuesj-1338	172	9	the	the	DET
cuesj-1338	172	10	elastic	elastic	ADJ
cuesj-1338	172	11	net	net	NOUN
cuesj-1338	172	12	performed	perform	VERB
cuesj-1338	172	13	high	high	ADV
cuesj-1338	172	14	on	on	ADP
cuesj-1338	172	15	scores	score	NOUN
cuesj-1338	172	16	(	(	PUNCT
cuesj-1338	172	17	sensitivity	sensitivity	NOUN
cuesj-1338	172	18	,	,	PUNCT
cuesj-1338	172	19	specificity	specificity	NOUN
cuesj-1338	172	20	,	,	PUNCT
cuesj-1338	172	21	and	and	CCONJ
cuesj-1338	172	22	f1	f1	NOUN
cuesj-1338	172	23	-	-	PUNCT
cuesj-1338	172	24	score	score	NOUN
cuesj-1338	172	25	)	)	PUNCT
cuesj-1338	172	26	=	=	SYM
cuesj-1338	172	27	1	1	NUM
cuesj-1338	172	28	which	which	PRON
cuesj-1338	172	29	means	mean	VERB
cuesj-1338	172	30	that	that	SCONJ
cuesj-1338	172	31	those	those	DET
cuesj-1338	172	32	cases	case	NOUN
cuesj-1338	172	33	were	be	AUX
cuesj-1338	172	34	perfectly	perfectly	ADV
cuesj-1338	172	35	classified	classified	ADJ
cuesj-1338	172	36	.	.	PUNCT
cuesj-1338	173	1	moreover	moreover	ADV
cuesj-1338	173	2	,	,	PUNCT
cuesj-1338	173	3	for	for	ADP
cuesj-1338	173	4	the	the	DET
cuesj-1338	173	5	other	other	ADJ
cuesj-1338	173	6	subtypes	subtype	NOUN
cuesj-1338	173	7	,	,	PUNCT
cuesj-1338	173	8	it	it	PRON
cuesj-1338	173	9	presents	present	VERB
cuesj-1338	173	10	an	an	DET
cuesj-1338	173	11	overall	overall	ADJ
cuesj-1338	173	12	good	good	ADJ
cuesj-1338	173	13	classification	classification	NOUN
cuesj-1338	173	14	achieving	achieve	VERB
cuesj-1338	173	15	a	a	DET
cuesj-1338	173	16	certain	certain	ADJ
cuesj-1338	173	17	acceptance	acceptance	NOUN
cuesj-1338	173	18	level	level	NOUN
cuesj-1338	173	19	of	of	ADP
cuesj-1338	173	20	sensitivity	sensitivity	NOUN
cuesj-1338	173	21	,	,	PUNCT
cuesj-1338	173	22	specificity	specificity	NOUN
cuesj-1338	173	23	,	,	PUNCT
cuesj-1338	173	24	and	and	CCONJ
cuesj-1338	173	25	f1	f1	NOUN
cuesj-1338	173	26	-	-	PUNCT
cuesj-1338	173	27	scores	score	NOUN
cuesj-1338	173	28	.	.	PUNCT
cuesj-1338	174	1	this	this	PRON
cuesj-1338	174	2	means	mean	VERB
cuesj-1338	174	3	that	that	SCONJ
cuesj-1338	174	4	the	the	DET
cuesj-1338	174	5	results	result	NOUN
cuesj-1338	174	6	indicate	indicate	VERB
cuesj-1338	174	7	that	that	SCONJ
cuesj-1338	174	8	elastic	elastic	ADJ
cuesj-1338	174	9	net	net	NOUN
cuesj-1338	174	10	indeed	indeed	ADV
cuesj-1338	174	11	takes	take	VERB
cuesj-1338	174	12	care	care	NOUN
cuesj-1338	174	13	of	of	ADP
cuesj-1338	174	14	the	the	DET
cuesj-1338	174	15	high	high	ADV
cuesj-1338	174	16	-	-	PUNCT
cuesj-1338	174	17	dimensional	dimensional	ADJ
cuesj-1338	174	18	problems	problem	NOUN
cuesj-1338	174	19	in	in	ADP
cuesj-1338	174	20	classifying	classify	VERB
cuesj-1338	174	21	brain	brain	NOUN
cuesj-1338	174	22	cancer	cancer	NOUN
cuesj-1338	174	23	.	.	PUNCT
cuesj-1338	175	1	better	well	ADJ
cuesj-1338	175	2	classification	classification	NOUN
cuesj-1338	175	3	could	could	AUX
cuesj-1338	175	4	be	be	AUX
cuesj-1338	175	5	obtained	obtain	VERB
cuesj-1338	175	6	by	by	ADP
cuesj-1338	175	7	feature	feature	NOUN
cuesj-1338	175	8	selection	selection	NOUN
cuesj-1338	175	9	which	which	PRON
cuesj-1338	175	10	will	will	AUX
cuesj-1338	175	11	also	also	ADV
cuesj-1338	175	12	lead	lead	VERB
cuesj-1338	175	13	to	to	ADP
cuesj-1338	175	14	more	more	ADV
cuesj-1338	175	15	interpretable	interpretable	ADJ
cuesj-1338	175	16	models	model	NOUN
cuesj-1338	175	17	.	.	PUNCT
cuesj-1338	176	1	the	the	DET
cuesj-1338	176	2	fact	fact	NOUN
cuesj-1338	176	3	that	that	SCONJ
cuesj-1338	176	4	there	there	PRON
cuesj-1338	176	5	were	be	VERB
cuesj-1338	176	6	different	different	ADJ
cuesj-1338	176	7	results	result	NOUN
cuesj-1338	176	8	within	within	ADP
cuesj-1338	176	9	subtypes	subtype	NOUN
cuesj-1338	176	10	suggests	suggest	VERB
cuesj-1338	176	11	that	that	SCONJ
cuesj-1338	176	12	one	one	PRON
cuesj-1338	176	13	should	should	AUX
cuesj-1338	176	14	consider	consider	VERB
cuesj-1338	176	15	specific	specific	ADJ
cuesj-1338	176	16	characteristics	characteristic	NOUN
cuesj-1338	176	17	of	of	ADP
cuesj-1338	176	18	subtypes	subtype	NOUN
cuesj-1338	176	19	before	before	ADP
cuesj-1338	176	20	settling	settle	VERB
cuesj-1338	176	21	on	on	ADP
cuesj-1338	176	22	a	a	DET
cuesj-1338	176	23	classification	classification	NOUN
cuesj-1338	176	24	method	method	NOUN
cuesj-1338	176	25	.	.	PUNCT
cuesj-1338	177	1	focusing	focus	VERB
cuesj-1338	177	2	on	on	ADP
cuesj-1338	177	3	the	the	DET
cuesj-1338	177	4	genes	gene	NOUN
cuesj-1338	177	5	picked	pick	VERB
cuesj-1338	177	6	by	by	ADP
cuesj-1338	177	7	the	the	DET
cuesj-1338	177	8	algorithms	algorithm	NOUN
cuesj-1338	177	9	along	along	ADP
cuesj-1338	177	10	with	with	ADP
cuesj-1338	177	11	their	their	PRON
cuesj-1338	177	12	biological	biological	ADJ
cuesj-1338	177	13	relevance	relevance	NOUN
cuesj-1338	177	14	would	would	AUX
cuesj-1338	177	15	also	also	ADV
cuesj-1338	177	16	be	be	AUX
cuesj-1338	177	17	important	important	ADJ
cuesj-1338	177	18	as	as	SCONJ
cuesj-1338	177	19	research	research	NOUN
cuesj-1338	177	20	may	may	AUX
cuesj-1338	177	21	help	help	AUX
cuesj-1338	177	22	clarify	clarify	VERB
cuesj-1338	177	23	various	various	ADJ
cuesj-1338	177	24	mechanisms	mechanism	NOUN
cuesj-1338	177	25	underlying	underlie	VERB
cuesj-1338	177	26	different	different	ADJ
cuesj-1338	177	27	types	type	NOUN
cuesj-1338	177	28	of	of	ADP
cuesj-1338	177	29	brain	brain	NOUN
cuesj-1338	177	30	.	.	PUNCT
cuesj-1338	178	1	discussion	discussion	NOUN
cuesj-1338	178	2	this	this	DET
cuesj-1338	178	3	paper	paper	NOUN
cuesj-1338	178	4	employed	employ	VERB
cuesj-1338	178	5	an	an	DET
cuesj-1338	178	6	elastic	elastic	ADJ
cuesj-1338	178	7	net	net	NOUN
cuesj-1338	178	8	-	-	PUNCT
cuesj-1338	178	9	regularized	regularize	VERB
cuesj-1338	178	10	multinomial	multinomial	ADJ
cuesj-1338	178	11	logistic	logistic	ADJ
cuesj-1338	178	12	regression	regression	NOUN
cuesj-1338	178	13	model	model	NOUN
cuesj-1338	178	14	to	to	PART
cuesj-1338	178	15	derive	derive	VERB
cuesj-1338	178	16	gene	gene	NOUN
cuesj-1338	178	17	signatures	signature	NOUN
cuesj-1338	178	18	for	for	ADP
cuesj-1338	178	19	the	the	DET
cuesj-1338	178	20	various	various	ADJ
cuesj-1338	178	21	brain	brain	NOUN
cuesj-1338	178	22	cancer	cancer	NOUN
cuesj-1338	178	23	subgroups	subgroup	NOUN
cuesj-1338	178	24	using	use	VERB
cuesj-1338	178	25	high	high	ADJ
cuesj-1338	178	26	dimensional	dimensional	ADJ
cuesj-1338	178	27	gene	gene	NOUN
cuesj-1338	178	28	expression	expression	NOUN
cuesj-1338	178	29	data	datum	NOUN
cuesj-1338	178	30	.	.	PUNCT
cuesj-1338	179	1	the	the	DET
cuesj-1338	179	2	results	result	NOUN
cuesj-1338	179	3	show	show	VERB
cuesj-1338	179	4	the	the	DET
cuesj-1338	179	5	usefulness	usefulness	NOUN
cuesj-1338	179	6	of	of	ADP
cuesj-1338	179	7	this	this	DET
cuesj-1338	179	8	method	method	NOUN
cuesj-1338	179	9	in	in	ADP
cuesj-1338	179	10	solving	solve	VERB
cuesj-1338	179	11	the	the	DET
cuesj-1338	179	12	problems	problem	NOUN
cuesj-1338	179	13	associated	associate	VERB
cuesj-1338	179	14	with	with	ADP
cuesj-1338	179	15	the	the	DET
cuesj-1338	179	16	high	high	ADJ
cuesj-1338	179	17	dimensionality	dimensionality	NOUN
cuesj-1338	179	18	and	and	CCONJ
cuesj-1338	179	19	multicollinearity	multicollinearity	NOUN
cuesj-1338	179	20	of	of	ADP
cuesj-1338	179	21	independent	independent	ADJ
cuesj-1338	179	22	variables	variable	NOUN
cuesj-1338	179	23	which	which	PRON
cuesj-1338	179	24	leads	lead	VERB
cuesj-1338	179	25	to	to	ADP
cuesj-1338	179	26	reducing	reduce	VERB
cuesj-1338	179	27	the	the	DET
cuesj-1338	179	28	model	model	NOUN
cuesj-1338	179	29	to	to	PART
cuesj-1338	179	30	be	be	AUX
cuesj-1338	179	31	a	a	DET
cuesj-1338	179	32	better	well	ADJ
cuesj-1338	179	33	performance	performance	NOUN
cuesj-1338	179	34	and	and	CCONJ
cuesj-1338	179	35	more	more	ADV
cuesj-1338	179	36	robust	robust	ADJ
cuesj-1338	179	37	interpretation	interpretation	NOUN
cuesj-1338	179	38	of	of	ADP
cuesj-1338	179	39	the	the	DET
cuesj-1338	179	40	model	model	NOUN
cuesj-1338	179	41	.	.	PUNCT
cuesj-1338	180	1	the	the	DET
cuesj-1338	180	2	elastic	elastic	ADJ
cuesj-1338	180	3	net	net	NOUN
cuesj-1338	180	4	’s	’s	PART
cuesj-1338	180	5	ability	ability	NOUN
cuesj-1338	180	6	to	to	PART
cuesj-1338	180	7	perform	perform	VERB
cuesj-1338	180	8	simultaneous	simultaneous	ADJ
cuesj-1338	180	9	variable	variable	ADJ
cuesj-1338	180	10	selection	selection	NOUN
cuesj-1338	180	11	and	and	CCONJ
cuesj-1338	180	12	coefficient	coefficient	NOUN
cuesj-1338	180	13	shrinkage	shrinkage	NOUN
cuesj-1338	180	14	proved	prove	VERB
cuesj-1338	180	15	crucial	crucial	ADJ
cuesj-1338	180	16	in	in	ADP
cuesj-1338	180	17	handling	handle	VERB
cuesj-1338	180	18	the	the	DET
cuesj-1338	180	19	high	high	ADV
cuesj-1338	180	20	-	-	PUNCT
cuesj-1338	180	21	dimensional	dimensional	ADJ
cuesj-1338	180	22	gene	gene	NOUN
cuesj-1338	180	23	expression	expression	NOUN
cuesj-1338	180	24	data	datum	NOUN
cuesj-1338	180	25	.	.	PUNCT
cuesj-1338	181	1	by	by	ADP
cuesj-1338	181	2	shrinking	shrink	VERB
cuesj-1338	181	3	some	some	DET
cuesj-1338	181	4	coefficients	coefficient	NOUN
cuesj-1338	181	5	to	to	ADP
cuesj-1338	181	6	zero	zero	NUM
cuesj-1338	181	7	,	,	PUNCT
cuesj-1338	181	8	the	the	DET
cuesj-1338	181	9	elastic	elastic	ADJ
cuesj-1338	181	10	net	net	NOUN
cuesj-1338	181	11	effectively	effectively	ADV
cuesj-1338	181	12	identified	identify	VERB
cuesj-1338	181	13	a	a	DET
cuesj-1338	181	14	subset	subset	NOUN
cuesj-1338	181	15	of	of	ADP
cuesj-1338	181	16	genes	gene	NOUN
cuesj-1338	181	17	with	with	ADP
cuesj-1338	181	18	the	the	DET
cuesj-1338	181	19	strongest	strong	ADJ
cuesj-1338	181	20	association	association	NOUN
cuesj-1338	181	21	with	with	ADP
cuesj-1338	181	22	each	each	DET
cuesj-1338	181	23	brain	brain	NOUN
cuesj-1338	181	24	cancer	cancer	NOUN
cuesj-1338	181	25	subtype	subtype	NOUN
cuesj-1338	181	26	,	,	PUNCT
cuesj-1338	181	27	reducing	reduce	VERB
cuesj-1338	181	28	the	the	DET
cuesj-1338	181	29	complexity	complexity	NOUN
cuesj-1338	181	30	of	of	ADP
cuesj-1338	181	31	the	the	DET
cuesj-1338	181	32	model	model	NOUN
cuesj-1338	181	33	and	and	CCONJ
cuesj-1338	181	34	enhancing	enhance	VERB
cuesj-1338	181	35	its	its	PRON
cuesj-1338	181	36	interpretability	interpretability	NOUN
cuesj-1338	181	37	.	.	PUNCT
cuesj-1338	182	1	this	this	DET
cuesj-1338	182	2	feature	feature	NOUN
cuesj-1338	182	3	selection	selection	NOUN
cuesj-1338	182	4	capability	capability	NOUN
cuesj-1338	182	5	aligns	align	VERB
cuesj-1338	182	6	with	with	ADP
cuesj-1338	182	7	previous	previous	ADJ
cuesj-1338	182	8	research	research	NOUN
cuesj-1338	182	9	demonstrating	demonstrate	VERB
cuesj-1338	182	10	the	the	DET
cuesj-1338	182	11	utility	utility	NOUN
cuesj-1338	182	12	of	of	ADP
cuesj-1338	182	13	the	the	DET
cuesj-1338	182	14	elastic	elastic	ADJ
cuesj-1338	182	15	net	net	NOUN
cuesj-1338	182	16	in	in	ADP
cuesj-1338	182	17	high	high	ADJ
cuesj-1338	182	18	-	-	PUNCT
cuesj-1338	182	19	dimensional	dimensional	ADJ
cuesj-1338	182	20	genomic	genomic	ADJ
cuesj-1338	182	21	data	datum	NOUN
cuesj-1338	182	22	analysis	analysis	NOUN
cuesj-1338	182	23	for	for	ADP
cuesj-1338	182	24	various	various	ADJ
cuesj-1338	182	25	cancer	cancer	NOUN
cuesj-1338	182	26	types	type	NOUN
cuesj-1338	182	27	,	,	PUNCT
cuesj-1338	182	28	including	include	VERB
cuesj-1338	182	29	breast	breast	NOUN
cuesj-1338	182	30	cancer	cancer	NOUN
cuesj-1338	182	31	and	and	CCONJ
cuesj-1338	182	32	leukemia.[22	leukemia.[22	NOUN
cuesj-1338	182	33	]	]	PUNCT
cuesj-1338	182	34	similarly	similarly	ADV
cuesj-1338	182	35	,	,	PUNCT
cuesj-1338	182	36	other	other	ADJ
cuesj-1338	182	37	studies	study	NOUN
cuesj-1338	182	38	have	have	AUX
cuesj-1338	182	39	emphasized	emphasize	VERB
cuesj-1338	182	40	the	the	DET
cuesj-1338	182	41	importance	importance	NOUN
cuesj-1338	182	42	of	of	ADP
cuesj-1338	182	43	robust	robust	ADJ
cuesj-1338	182	44	feature	feature	NOUN
cuesj-1338	182	45	selection	selection	NOUN
cuesj-1338	182	46	methods	method	NOUN
cuesj-1338	182	47	for	for	ADP
cuesj-1338	182	48	extracting	extract	VERB
cuesj-1338	182	49	meaningful	meaningful	ADJ
cuesj-1338	182	50	insights	insight	NOUN
cuesj-1338	182	51	from	from	ADP
cuesj-1338	182	52	complex	complex	ADJ
cuesj-1338	182	53	gene	gene	NOUN
cuesj-1338	182	54	expression	expression	NOUN
cuesj-1338	182	55	data	datum	NOUN
cuesj-1338	182	56	in	in	ADP
cuesj-1338	182	57	brain	brain	NOUN
cuesj-1338	182	58	cancer	cancer	NOUN
cuesj-1338	182	59	research.[4,20	research.[4,20	PROPN
cuesj-1338	182	60	]	]	X
cuesj-1338	182	61	the	the	DET
cuesj-1338	182	62	performance	performance	NOUN
cuesj-1338	182	63	evaluation	evaluation	NOUN
cuesj-1338	182	64	using	use	VERB
cuesj-1338	182	65	auc	auc	NOUN
cuesj-1338	182	66	and	and	CCONJ
cuesj-1338	182	67	other	other	ADJ
cuesj-1338	182	68	metrics	metric	NOUN
cuesj-1338	182	69	confirmed	confirm	VERB
cuesj-1338	182	70	the	the	DET
cuesj-1338	182	71	strong	strong	ADJ
cuesj-1338	182	72	discriminatory	discriminatory	ADJ
cuesj-1338	182	73	power	power	NOUN
cuesj-1338	182	74	of	of	ADP
cuesj-1338	182	75	the	the	DET
cuesj-1338	182	76	elastic	elastic	ADJ
cuesj-1338	182	77	net	net	ADJ
cuesj-1338	182	78	model	model	NOUN
cuesj-1338	182	79	.	.	PUNCT
cuesj-1338	183	1	achieving	achieve	VERB
cuesj-1338	183	2	near	near	ADV
cuesj-1338	183	3	-	-	PUNCT
cuesj-1338	183	4	perfect	perfect	ADJ
cuesj-1338	183	5	auc	auc	NOUN
cuesj-1338	183	6	values	value	NOUN
cuesj-1338	183	7	for	for	ADP
cuesj-1338	183	8	certain	certain	ADJ
cuesj-1338	183	9	subtypes	subtype	NOUN
cuesj-1338	183	10	suggests	suggest	VERB
cuesj-1338	183	11	the	the	DET
cuesj-1338	183	12	potential	potential	NOUN
cuesj-1338	183	13	of	of	ADP
cuesj-1338	183	14	this	this	DET
cuesj-1338	183	15	approach	approach	NOUN
cuesj-1338	183	16	for	for	ADP
cuesj-1338	183	17	improved	improved	ADJ
cuesj-1338	183	18	diagnosis	diagnosis	NOUN
cuesj-1338	183	19	and	and	CCONJ
cuesj-1338	183	20	subtype	subtype	NOUN
cuesj-1338	183	21	classification	classification	NOUN
cuesj-1338	183	22	.	.	PUNCT
cuesj-1338	184	1	this	this	DET
cuesj-1338	184	2	finding	finding	NOUN
cuesj-1338	184	3	echoes	echo	VERB
cuesj-1338	184	4	the	the	DET
cuesj-1338	184	5	broader	broad	ADJ
cuesj-1338	184	6	trend	trend	NOUN
cuesj-1338	184	7	in	in	ADP
cuesj-1338	184	8	brain	brain	NOUN
cuesj-1338	184	9	cancer	cancer	NOUN
cuesj-1338	184	10	research	research	NOUN
cuesj-1338	184	11	where	where	SCONJ
cuesj-1338	184	12	gene	gene	NOUN
cuesj-1338	184	13	expression	expression	NOUN
cuesj-1338	184	14	analysis	analysis	NOUN
cuesj-1338	184	15	has	have	AUX
cuesj-1338	184	16	been	be	AUX
cuesj-1338	184	17	increasingly	increasingly	ADV
cuesj-1338	184	18	utilized	utilize	VERB
cuesj-1338	184	19	to	to	PART
cuesj-1338	184	20	identify	identify	VERB
cuesj-1338	184	21	molecular	molecular	ADJ
cuesj-1338	184	22	subtypes	subtype	NOUN
cuesj-1338	184	23	and	and	CCONJ
cuesj-1338	184	24	prognostic	prognostic	ADJ
cuesj-1338	184	25	markers.[18,19	markers.[18,19	NOUN
cuesj-1338	184	26	]	]	PUNCT
cuesj-1338	184	27	the	the	DET
cuesj-1338	184	28	variability	variability	NOUN
cuesj-1338	184	29	in	in	ADP
cuesj-1338	184	30	performance	performance	NOUN
cuesj-1338	184	31	noted	note	VERB
cuesj-1338	184	32	between	between	ADP
cuesj-1338	184	33	the	the	DET
cuesj-1338	184	34	different	different	ADJ
cuesj-1338	184	35	observed	observed	ADJ
cuesj-1338	184	36	subtypes	subtype	NOUN
cuesj-1338	184	37	reinforces	reinforce	VERB
cuesj-1338	184	38	the	the	DET
cuesj-1338	184	39	fact	fact	NOUN
cuesj-1338	184	40	that	that	SCONJ
cuesj-1338	184	41	brain	brain	NOUN
cuesj-1338	184	42	cancer	cancer	NOUN
cuesj-1338	184	43	is	be	AUX
cuesj-1338	184	44	indeed	indeed	ADV
cuesj-1338	184	45	a	a	DET
cuesj-1338	184	46	complex	complex	ADJ
cuesj-1338	184	47	disease	disease	NOUN
cuesj-1338	184	48	and	and	CCONJ
cuesj-1338	184	49	that	that	SCONJ
cuesj-1338	184	50	there	there	PRON
cuesj-1338	184	51	is	be	VERB
cuesj-1338	184	52	a	a	DET
cuesj-1338	184	53	need	need	NOUN
cuesj-1338	184	54	for	for	SCONJ
cuesj-1338	184	55	gene	gene	NOUN
cuesj-1338	184	56	expression	expression	NOUN
cuesj-1338	184	57	signatures	signature	NOUN
cuesj-1338	184	58	specific	specific	ADJ
cuesj-1338	184	59	to	to	ADP
cuesj-1338	184	60	each	each	DET
cuesj-1338	184	61	subtype	subtype	NOUN
cuesj-1338	184	62	,	,	PUNCT
cuesj-1338	184	63	a	a	DET
cuesj-1338	184	64	view	view	NOUN
cuesj-1338	184	65	that	that	PRON
cuesj-1338	184	66	has	have	AUX
cuesj-1338	184	67	been	be	AUX
cuesj-1338	184	68	noted	note	VERB
cuesj-1338	184	69	in	in	ADP
cuesj-1338	184	70	previous	previous	ADJ
cuesj-1338	184	71	studies	study	NOUN
cuesj-1338	184	72	which	which	PRON
cuesj-1338	184	73	have	have	AUX
cuesj-1338	184	74	shown	show	VERB
cuesj-1338	184	75	that	that	SCONJ
cuesj-1338	184	76	different	different	ADJ
cuesj-1338	184	77	grades	grade	NOUN
cuesj-1338	184	78	and	and	CCONJ
cuesj-1338	184	79	types	type	NOUN
cuesj-1338	184	80	of	of	ADP
cuesj-1338	184	81	brain	brain	NOUN
cuesj-1338	184	82	tumors	tumor	NOUN
cuesj-1338	184	83	possess	possess	VERB
cuesj-1338	184	84	distinct	distinct	ADJ
cuesj-1338	184	85	molecular	molecular	ADJ
cuesj-1338	184	86	characteristics.[20	characteristics.[20	PROPN
cuesj-1338	184	87	]	]	PUNCT
cuesj-1338	184	88	mahmood	mahmood	PROPN
cuesj-1338	184	89	and	and	CCONJ
cuesj-1338	184	90	kadir	kadir	PROPN
cuesj-1338	184	91	:	:	PUNCT
cuesj-1338	184	92	elastic	elastic	ADJ
cuesj-1338	184	93	net	net	NOUN
cuesj-1338	184	94	for	for	ADP
cuesj-1338	184	95	brain	brain	NOUN
cuesj-1338	184	96	cancer	cancer	NOUN
cuesj-1338	184	97	genetics	genetic	NOUN
cuesj-1338	184	98	20	20	NUM
cuesj-1338	184	99	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	184	100	cuesj	cuesj	NOUN
cuesj-1338	184	101	2025	2025	NUM
cuesj-1338	184	102	,	,	PUNCT
cuesj-1338	184	103	9	9	NUM
cuesj-1338	184	104	(	(	PUNCT
cuesj-1338	184	105	1	1	NUM
cuesj-1338	184	106	):	):	PUNCT
cuesj-1338	184	107	14	14	NUM
cuesj-1338	184	108	-	-	SYM
cuesj-1338	184	109	23	23	NUM
cuesj-1338	184	110	the	the	DET
cuesj-1338	184	111	biological	biological	ADJ
cuesj-1338	184	112	importance	importance	NOUN
cuesj-1338	184	113	of	of	ADP
cuesj-1338	184	114	the	the	DET
cuesj-1338	184	115	genetic	genetic	ADJ
cuesj-1338	184	116	variations	variation	NOUN
cuesj-1338	184	117	among	among	ADP
cuesj-1338	184	118	subtypes	subtype	NOUN
cuesj-1338	184	119	of	of	ADP
cuesj-1338	184	120	interest	interest	NOUN
cuesj-1338	184	121	needs	need	VERB
cuesj-1338	184	122	to	to	PART
cuesj-1338	184	123	be	be	AUX
cuesj-1338	184	124	explored	explore	VERB
cuesj-1338	184	125	further	far	ADV
cuesj-1338	184	126	.	.	PUNCT
cuesj-1338	185	1	knowing	know	VERB
cuesj-1338	185	2	the	the	DET
cuesj-1338	185	3	functions	function	NOUN
cuesj-1338	185	4	of	of	ADP
cuesj-1338	185	5	these	these	DET
cuesj-1338	185	6	genes	gene	NOUN
cuesj-1338	185	7	can	can	AUX
cuesj-1338	185	8	help	help	VERB
cuesj-1338	185	9	one	one	NOUN
cuesj-1338	185	10	understand	understand	VERB
cuesj-1338	185	11	the	the	DET
cuesj-1338	185	12	drivers	driver	NOUN
cuesj-1338	185	13	of	of	ADP
cuesj-1338	185	14	each	each	DET
cuesj-1338	185	15	subtype	subtype	NOUN
cuesj-1338	185	16	and	and	CCONJ
cuesj-1338	185	17	possibly	possibly	ADV
cuesj-1338	185	18	more	more	ADV
cuesj-1338	185	19	importantly	importantly	ADV
cuesj-1338	185	20	,	,	PUNCT
cuesj-1338	185	21	help	help	VERB
cuesj-1338	185	22	one	one	PRON
cuesj-1338	185	23	find	find	VERB
cuesj-1338	185	24	new	new	ADJ
cuesj-1338	185	25	possible	possible	ADJ
cuesj-1338	185	26	therapies	therapy	NOUN
cuesj-1338	185	27	.	.	PUNCT
cuesj-1338	186	1	on	on	ADP
cuesj-1338	186	2	the	the	DET
cuesj-1338	186	3	other	other	ADJ
cuesj-1338	186	4	hand	hand	NOUN
cuesj-1338	186	5	,	,	PUNCT
cuesj-1338	186	6	there	there	PRON
cuesj-1338	186	7	are	be	VERB
cuesj-1338	186	8	also	also	ADV
cuesj-1338	186	9	attempts	attempt	NOUN
cuesj-1338	186	10	being	be	AUX
cuesj-1338	186	11	made	make	VERB
cuesj-1338	186	12	in	in	ADP
cuesj-1338	186	13	this	this	DET
cuesj-1338	186	14	area	area	NOUN
cuesj-1338	186	15	which	which	PRON
cuesj-1338	186	16	seek	seek	VERB
cuesj-1338	186	17	to	to	PART
cuesj-1338	186	18	resolve	resolve	VERB
cuesj-1338	186	19	the	the	DET
cuesj-1338	186	20	combined	combine	VERB
cuesj-1338	186	21	genetic	genetic	ADJ
cuesj-1338	186	22	and	and	CCONJ
cuesj-1338	186	23	environmental	environmental	ADJ
cuesj-1338	186	24	epidemiology	epidemiology	NOUN
cuesj-1338	186	25	of	of	ADP
cuesj-1338	186	26	brain	brain	NOUN
cuesj-1338	186	27	cancer.[1	cancer.[1	NOUN
cuesj-1338	186	28	]	]	PUNCT
cuesj-1338	186	29	thus	thus	ADV
cuesj-1338	186	30	,	,	PUNCT
cuesj-1338	186	31	further	further	ADJ
cuesj-1338	186	32	investigations	investigation	NOUN
cuesj-1338	186	33	could	could	AUX
cuesj-1338	186	34	examine	examine	VERB
cuesj-1338	186	35	the	the	DET
cuesj-1338	186	36	incorporation	incorporation	NOUN
cuesj-1338	186	37	of	of	ADP
cuesj-1338	186	38	more	more	ADV
cuesj-1338	186	39	clinical	clinical	ADJ
cuesj-1338	186	40	and	and	CCONJ
cuesj-1338	186	41	molecular	molecular	ADJ
cuesj-1338	186	42	variables	variable	NOUN
cuesj-1338	186	43	with	with	ADP
cuesj-1338	186	44	a	a	DET
cuesj-1338	186	45	view	view	NOUN
cuesj-1338	186	46	to	to	ADP
cuesj-1338	186	47	improving	improve	VERB
cuesj-1338	186	48	the	the	DET
cuesj-1338	186	49	predictive	predictive	ADJ
cuesj-1338	186	50	power	power	NOUN
cuesj-1338	186	51	and	and	CCONJ
cuesj-1338	186	52	clinical	clinical	ADJ
cuesj-1338	186	53	applicability	applicability	NOUN
cuesj-1338	186	54	of	of	ADP
cuesj-1338	186	55	the	the	DET
cuesj-1338	186	56	model	model	NOUN
cuesj-1338	186	57	.	.	PUNCT
cuesj-1338	187	1	this	this	DET
cuesj-1338	187	2	categorical	categorical	ADJ
cuesj-1338	187	3	approach	approach	NOUN
cuesj-1338	187	4	is	be	AUX
cuesj-1338	187	5	in	in	ADP
cuesj-1338	187	6	line	line	NOUN
cuesj-1338	187	7	with	with	ADP
cuesj-1338	187	8	the	the	DET
cuesj-1338	187	9	shift	shift	NOUN
cuesj-1338	187	10	in	in	ADP
cuesj-1338	187	11	opinion	opinion	NOUN
cuesj-1338	187	12	toward	toward	ADP
cuesj-1338	187	13	the	the	DET
cuesj-1338	187	14	role	role	NOUN
cuesj-1338	187	15	of	of	ADP
cuesj-1338	187	16	data	datum	NOUN
cuesj-1338	187	17	integration	integration	NOUN
cuesj-1338	187	18	in	in	ADP
cuesj-1338	187	19	precision	precision	NOUN
cuesj-1338	187	20	oncology.[30	oncology.[30	PROPN
cuesj-1338	187	21	]	]	PUNCT
cuesj-1338	187	22	overall	overall	ADV
cuesj-1338	187	23	,	,	PUNCT
cuesj-1338	187	24	this	this	DET
cuesj-1338	187	25	study	study	NOUN
cuesj-1338	187	26	demonstrates	demonstrate	VERB
cuesj-1338	187	27	that	that	SCONJ
cuesj-1338	187	28	elastic	elastic	ADJ
cuesj-1338	187	29	netregularized	netregularize	VERB
cuesj-1338	187	30	multinomial	multinomial	ADJ
cuesj-1338	187	31	logistic	logistic	ADJ
cuesj-1338	187	32	regression	regression	NOUN
cuesj-1338	187	33	can	can	AUX
cuesj-1338	187	34	be	be	AUX
cuesj-1338	187	35	an	an	DET
cuesj-1338	187	36	efficient	efficient	ADJ
cuesj-1338	187	37	method	method	NOUN
cuesj-1338	187	38	for	for	ADP
cuesj-1338	187	39	analyzing	analyze	VERB
cuesj-1338	187	40	high	high	ADJ
cuesj-1338	187	41	-	-	PUNCT
cuesj-1338	187	42	dimensional	dimensional	ADJ
cuesj-1338	187	43	gene	gene	NOUN
cuesj-1338	187	44	expression	expression	NOUN
cuesj-1338	187	45	data	datum	NOUN
cuesj-1338	187	46	relevant	relevant	ADJ
cuesj-1338	187	47	to	to	PART
cuesj-1338	187	48	brain	brain	VERB
cuesj-1338	187	49	tumor	tumor	NOUN
cuesj-1338	187	50	research	research	NOUN
cuesj-1338	187	51	.	.	PUNCT
cuesj-1338	188	1	the	the	DET
cuesj-1338	188	2	identified	identify	VERB
cuesj-1338	188	3	subtypespecific	subtypespecific	NOUN
cuesj-1338	188	4	gene	gene	NOUN
cuesj-1338	188	5	expression	expression	NOUN
cuesj-1338	188	6	signatures	signature	NOUN
cuesj-1338	188	7	could	could	AUX
cuesj-1338	188	8	help	help	VERB
cuesj-1338	188	9	advance	advance	VERB
cuesj-1338	188	10	diagnosis	diagnosis	NOUN
cuesj-1338	188	11	,	,	PUNCT
cuesj-1338	188	12	prognosis	prognosis	NOUN
cuesj-1338	188	13	,	,	PUNCT
cuesj-1338	188	14	and	and	CCONJ
cuesj-1338	188	15	treatment	treatment	NOUN
cuesj-1338	188	16	strategies	strategy	NOUN
cuesj-1338	188	17	leading	lead	VERB
cuesj-1338	188	18	towards	towards	ADP
cuesj-1338	188	19	better	well	ADJ
cuesj-1338	188	20	tailor	tailor	NOUN
cuesj-1338	188	21	-	-	PUNCT
cuesj-1338	188	22	made	make	VERB
cuesj-1338	188	23	approaches	approach	NOUN
cuesj-1338	188	24	to	to	PART
cuesj-1338	188	25	fight	fight	VERB
cuesj-1338	188	26	against	against	ADP
cuesj-1338	188	27	this	this	DET
cuesj-1338	188	28	dreadful	dreadful	ADJ
cuesj-1338	188	29	disease	disease	NOUN
cuesj-1338	188	30	.	.	PUNCT
cuesj-1338	189	1	conclusion	conclusion	NOUN
cuesj-1338	189	2	the	the	DET
cuesj-1338	189	3	research	research	NOUN
cuesj-1338	189	4	proceeded	proceed	VERB
cuesj-1338	189	5	with	with	ADP
cuesj-1338	189	6	the	the	DET
cuesj-1338	189	7	construction	construction	NOUN
cuesj-1338	189	8	of	of	ADP
cuesj-1338	189	9	a	a	DET
cuesj-1338	189	10	sparse	sparse	ADJ
cuesj-1338	189	11	multinomial	multinomial	ADJ
cuesj-1338	189	12	logistic	logistic	ADJ
cuesj-1338	189	13	regression	regression	NOUN
cuesj-1338	189	14	model	model	NOUN
cuesj-1338	189	15	based	base	VERB
cuesj-1338	189	16	on	on	ADP
cuesj-1338	189	17	elastic	elastic	ADJ
cuesj-1338	189	18	net	net	ADJ
cuesj-1338	189	19	shrinkage	shrinkage	NOUN
cuesj-1338	189	20	methods	method	NOUN
cuesj-1338	189	21	in	in	ADP
cuesj-1338	189	22	an	an	DET
cuesj-1338	189	23	effort	effort	NOUN
cuesj-1338	189	24	to	to	PART
cuesj-1338	189	25	classify	classify	VERB
cuesj-1338	189	26	brain	brain	NOUN
cuesj-1338	189	27	cancer	cancer	NOUN
cuesj-1338	189	28	subtypes	subtype	NOUN
cuesj-1338	189	29	based	base	VERB
cuesj-1338	189	30	on	on	ADP
cuesj-1338	189	31	genetic	genetic	ADJ
cuesj-1338	189	32	expression	expression	NOUN
cuesj-1338	189	33	data	datum	NOUN
cuesj-1338	189	34	.	.	PUNCT
cuesj-1338	190	1	this	this	PRON
cuesj-1338	190	2	solved	solve	VERB
cuesj-1338	190	3	the	the	DET
cuesj-1338	190	4	overfitting	overfitte	VERB
cuesj-1338	190	5	problem	problem	NOUN
cuesj-1338	190	6	and	and	CCONJ
cuesj-1338	190	7	the	the	DET
cuesj-1338	190	8	problem	problem	NOUN
cuesj-1338	190	9	of	of	ADP
cuesj-1338	190	10	having	have	VERB
cuesj-1338	190	11	too	too	ADV
cuesj-1338	190	12	many	many	ADJ
cuesj-1338	190	13	independent	independent	ADJ
cuesj-1338	190	14	variables	variable	NOUN
cuesj-1338	190	15	which	which	PRON
cuesj-1338	190	16	is	be	AUX
cuesj-1338	190	17	a	a	DET
cuesj-1338	190	18	common	common	ADJ
cuesj-1338	190	19	scenario	scenario	NOUN
cuesj-1338	190	20	in	in	ADP
cuesj-1338	190	21	highdimensional	highdimensional	ADJ
cuesj-1338	190	22	data	datum	NOUN
cuesj-1338	190	23	problems	problem	NOUN
cuesj-1338	190	24	.	.	PUNCT
cuesj-1338	191	1	the	the	DET
cuesj-1338	191	2	elastic	elastic	ADJ
cuesj-1338	191	3	net	net	ADJ
cuesj-1338	191	4	regularization	regularization	NOUN
cuesj-1338	191	5	technique	technique	NOUN
cuesj-1338	191	6	was	be	AUX
cuesj-1338	191	7	therefore	therefore	ADV
cuesj-1338	191	8	found	find	VERB
cuesj-1338	191	9	to	to	PART
cuesj-1338	191	10	be	be	AUX
cuesj-1338	191	11	of	of	ADP
cuesj-1338	191	12	importance	importance	NOUN
cuesj-1338	191	13	in	in	ADP
cuesj-1338	191	14	the	the	DET
cuesj-1338	191	15	analysis	analysis	NOUN
cuesj-1338	191	16	of	of	ADP
cuesj-1338	191	17	high	high	ADJ
cuesj-1338	191	18	-	-	PUNCT
cuesj-1338	191	19	dimensional	dimensional	ADJ
cuesj-1338	191	20	gene	gene	NOUN
cuesj-1338	191	21	expression	expression	NOUN
cuesj-1338	191	22	data	datum	NOUN
cuesj-1338	191	23	by	by	ADP
cuesj-1338	191	24	allowing	allow	VERB
cuesj-1338	191	25	for	for	ADP
cuesj-1338	191	26	variable	variable	ADJ
cuesj-1338	191	27	selection	selection	NOUN
cuesj-1338	191	28	and	and	CCONJ
cuesj-1338	191	29	shrinkage	shrinkage	NOUN
cuesj-1338	191	30	of	of	ADP
cuesj-1338	191	31	the	the	DET
cuesj-1338	191	32	coefficients	coefficient	NOUN
cuesj-1338	191	33	at	at	ADP
cuesj-1338	191	34	the	the	DET
cuesj-1338	191	35	same	same	ADJ
cuesj-1338	191	36	time	time	NOUN
cuesj-1338	191	37	.	.	PUNCT
cuesj-1338	192	1	this	this	PRON
cuesj-1338	192	2	enabled	enable	VERB
cuesj-1338	192	3	the	the	DET
cuesj-1338	192	4	model	model	NOUN
cuesj-1338	192	5	to	to	PART
cuesj-1338	192	6	select	select	VERB
cuesj-1338	192	7	only	only	ADV
cuesj-1338	192	8	those	those	DET
cuesj-1338	192	9	groups	group	NOUN
cuesj-1338	192	10	of	of	ADP
cuesj-1338	192	11	genes	gene	NOUN
cuesj-1338	192	12	with	with	ADP
cuesj-1338	192	13	the	the	DET
cuesj-1338	192	14	highest	high	ADJ
cuesj-1338	192	15	significance	significance	NOUN
cuesj-1338	192	16	to	to	PART
cuesj-1338	192	17	risk	risk	VERB
cuesj-1338	192	18	for	for	ADP
cuesj-1338	192	19	a	a	DET
cuesj-1338	192	20	particular	particular	ADJ
cuesj-1338	192	21	brain	brain	NOUN
cuesj-1338	192	22	cancer	cancer	NOUN
cuesj-1338	192	23	subtype	subtype	NOUN
cuesj-1338	192	24	,	,	PUNCT
cuesj-1338	192	25	thus	thus	ADV
cuesj-1338	192	26	improving	improve	VERB
cuesj-1338	192	27	the	the	DET
cuesj-1338	192	28	performance	performance	NOUN
cuesj-1338	192	29	and	and	CCONJ
cuesj-1338	192	30	the	the	DET
cuesj-1338	192	31	explanatory	explanatory	ADJ
cuesj-1338	192	32	power	power	NOUN
cuesj-1338	192	33	of	of	ADP
cuesj-1338	192	34	the	the	DET
cuesj-1338	192	35	model	model	NOUN
cuesj-1338	192	36	.	.	PUNCT
cuesj-1338	193	1	the	the	DET
cuesj-1338	193	2	results	result	NOUN
cuesj-1338	193	3	confirmed	confirm	VERB
cuesj-1338	193	4	the	the	DET
cuesj-1338	193	5	validity	validity	NOUN
cuesj-1338	193	6	of	of	ADP
cuesj-1338	193	7	the	the	DET
cuesj-1338	193	8	elastic	elastic	ADJ
cuesj-1338	193	9	netregularized	netregularize	VERB
cuesj-1338	193	10	multinomial	multinomial	ADJ
cuesj-1338	193	11	logistic	logistic	ADJ
cuesj-1338	193	12	regression	regression	NOUN
cuesj-1338	193	13	as	as	ADP
cuesj-1338	193	14	a	a	DET
cuesj-1338	193	15	competent	competent	ADJ
cuesj-1338	193	16	model	model	NOUN
cuesj-1338	193	17	for	for	ADP
cuesj-1338	193	18	the	the	DET
cuesj-1338	193	19	analysis	analysis	NOUN
cuesj-1338	193	20	of	of	ADP
cuesj-1338	193	21	high	high	ADJ
cuesj-1338	193	22	-	-	PUNCT
cuesj-1338	193	23	dimensional	dimensional	ADJ
cuesj-1338	193	24	gene	gene	NOUN
cuesj-1338	193	25	expression	expression	NOUN
cuesj-1338	193	26	data	datum	NOUN
cuesj-1338	193	27	.	.	PUNCT
cuesj-1338	194	1	this	this	DET
cuesj-1338	194	2	method	method	NOUN
cuesj-1338	194	3	contributed	contribute	VERB
cuesj-1338	194	4	not	not	PART
cuesj-1338	194	5	only	only	ADV
cuesj-1338	194	6	to	to	ADP
cuesj-1338	194	7	increasing	increase	VERB
cuesj-1338	194	8	the	the	DET
cuesj-1338	194	9	accuracy	accuracy	NOUN
cuesj-1338	194	10	of	of	ADP
cuesj-1338	194	11	the	the	DET
cuesj-1338	194	12	classification	classification	NOUN
cuesj-1338	194	13	of	of	ADP
cuesj-1338	194	14	subtypes	subtype	NOUN
cuesj-1338	194	15	of	of	ADP
cuesj-1338	194	16	brain	brain	NOUN
cuesj-1338	194	17	cancers	cancer	NOUN
cuesj-1338	194	18	but	but	CCONJ
cuesj-1338	194	19	also	also	ADV
cuesj-1338	194	20	enabled	enable	VERB
cuesj-1338	194	21	the	the	DET
cuesj-1338	194	22	discovery	discovery	NOUN
cuesj-1338	194	23	of	of	ADP
cuesj-1338	194	24	subtype	subtype	NOUN
cuesj-1338	194	25	-	-	PUNCT
cuesj-1338	194	26	shifting	shift	VERB
cuesj-1338	194	27	gene	gene	NOUN
cuesj-1338	194	28	expression	expression	NOUN
cuesj-1338	194	29	signatures	signature	NOUN
cuesj-1338	194	30	.	.	PUNCT
cuesj-1338	195	1	the	the	DET
cuesj-1338	195	2	discovered	discover	VERB
cuesj-1338	195	3	gene	gene	NOUN
cuesj-1338	195	4	expression	expression	NOUN
cuesj-1338	195	5	signatures	signature	NOUN
cuesj-1338	195	6	have	have	VERB
cuesj-1338	195	7	the	the	DET
cuesj-1338	195	8	potential	potential	NOUN
cuesj-1338	195	9	to	to	PART
cuesj-1338	195	10	provide	provide	VERB
cuesj-1338	195	11	the	the	DET
cuesj-1338	195	12	needed	need	VERB
cuesj-1338	195	13	impetus	impetus	NOUN
cuesj-1338	195	14	toward	toward	ADP
cuesj-1338	195	15	better	well	ADJ
cuesj-1338	195	16	diagnosis	diagnosis	NOUN
cuesj-1338	195	17	,	,	PUNCT
cuesj-1338	195	18	prognosis	prognosis	NOUN
cuesj-1338	195	19	,	,	PUNCT
cuesj-1338	195	20	and	and	CCONJ
cuesj-1338	195	21	treatment	treatment	NOUN
cuesj-1338	195	22	measures	measure	NOUN
cuesj-1338	195	23	for	for	ADP
cuesj-1338	195	24	brain	brain	NOUN
cuesj-1338	195	25	cancer	cancer	NOUN
cuesj-1338	195	26	,	,	PUNCT
cuesj-1338	195	27	making	make	VERB
cuesj-1338	195	28	it	it	PRON
cuesj-1338	195	29	possible	possible	ADJ
cuesj-1338	195	30	to	to	PART
cuesj-1338	195	31	employ	employ	VERB
cuesj-1338	195	32	more	more	ADV
cuesj-1338	195	33	directed	directed	ADJ
cuesj-1338	195	34	and	and	CCONJ
cuesj-1338	195	35	effective	effective	ADJ
cuesj-1338	195	36	measures	measure	NOUN
cuesj-1338	195	37	against	against	ADP
cuesj-1338	195	38	this	this	DET
cuesj-1338	195	39	problem	problem	NOUN
cuesj-1338	195	40	.	.	PUNCT
cuesj-1338	196	1	more	more	ADJ
cuesj-1338	196	2	studies	study	NOUN
cuesj-1338	196	3	are	be	AUX
cuesj-1338	196	4	suggested	suggest	VERB
cuesj-1338	196	5	to	to	PART
cuesj-1338	196	6	determine	determine	VERB
cuesj-1338	196	7	the	the	DET
cuesj-1338	196	8	biological	biological	ADJ
cuesj-1338	196	9	relevance	relevance	NOUN
cuesj-1338	196	10	of	of	ADP
cuesj-1338	196	11	the	the	DET
cuesj-1338	196	12	genes	gene	NOUN
cuesj-1338	196	13	selected	select	VERB
cuesj-1338	196	14	for	for	ADP
cuesj-1338	196	15	this	this	DET
cuesj-1338	196	16	study	study	NOUN
cuesj-1338	196	17	as	as	ADV
cuesj-1338	196	18	well	well	ADV
cuesj-1338	196	19	as	as	ADP
cuesj-1338	196	20	apply	apply	VERB
cuesj-1338	196	21	the	the	DET
cuesj-1338	196	22	model	model	NOUN
cuesj-1338	196	23	to	to	ADP
cuesj-1338	196	24	more	more	ADV
cuesj-1338	196	25	varied	varied	ADJ
cuesj-1338	196	26	populations	population	NOUN
cuesj-1338	196	27	for	for	ADP
cuesj-1338	196	28	better	well	ADJ
cuesj-1338	196	29	substantiation	substantiation	NOUN
cuesj-1338	196	30	.	.	PUNCT
cuesj-1338	197	1	references	reference	NOUN
cuesj-1338	197	2	1	1	NUM
cuesj-1338	197	3	.	.	PUNCT
cuesj-1338	197	4	d.	d.	PROPN
cuesj-1338	197	5	n.	n.	PROPN
cuesj-1338	197	6	louis	louis	PROPN
cuesj-1338	197	7	,	,	PUNCT
cuesj-1338	197	8	a.	a.	PROPN
cuesj-1338	197	9	perry	perry	PROPN
cuesj-1338	197	10	,	,	PUNCT
cuesj-1338	197	11	p.	p.	NOUN
cuesj-1338	197	12	wesseling	wesseling	NOUN
cuesj-1338	197	13	,	,	PUNCT
cuesj-1338	197	14	d.	d.	PROPN
cuesj-1338	197	15	j.	j.	PROPN
cuesj-1338	197	16	brat	brat	PROPN
cuesj-1338	197	17	,	,	PUNCT
cuesj-1338	197	18	i.	i.	PROPN
cuesj-1338	197	19	a.	a.	PROPN
cuesj-1338	197	20	cree	cree	PROPN
cuesj-1338	197	21	,	,	PUNCT
cuesj-1338	197	22	d.	d.	PROPN
cuesj-1338	197	23	figarella	figarella	NOUN
cuesj-1338	197	24	-	-	PUNCT
cuesj-1338	197	25	branger	branger	NOUN
cuesj-1338	197	26	,	,	PUNCT
cuesj-1338	197	27	c.	c.	PROPN
cuesj-1338	197	28	hawkins	hawkins	PROPN
cuesj-1338	197	29	,	,	PUNCT
cuesj-1338	197	30	h.	h.	PROPN
cuesj-1338	197	31	k.	k.	PROPN
cuesj-1338	197	32	ng	ng	PROPN
cuesj-1338	197	33	,	,	PUNCT
cuesj-1338	197	34	s.	s.	PROPN
cuesj-1338	197	35	m.	m.	PROPN
cuesj-1338	197	36	pfister	pfister	PROPN
cuesj-1338	197	37	,	,	PUNCT
cuesj-1338	197	38	g.	g.	PROPN
cuesj-1338	197	39	reifenberger	reifenberger	PROPN
cuesj-1338	197	40	,	,	PUNCT
cuesj-1338	197	41	r.	r.	PROPN
cuesj-1338	197	42	soffietti	soffietti	PROPN
cuesj-1338	197	43	,	,	PUNCT
cuesj-1338	197	44	a.	a.	PROPN
cuesj-1338	197	45	von	von	PROPN
cuesj-1338	197	46	deimling	deimling	PROPN
cuesj-1338	197	47	and	and	CCONJ
cuesj-1338	197	48	d.	d.	PROPN
cuesj-1338	197	49	w.	w.	PROPN
cuesj-1338	197	50	ellison	ellison	PROPN
cuesj-1338	197	51	.	.	PUNCT
cuesj-1338	198	1	the	the	DET
cuesj-1338	198	2	2021	2021	NUM
cuesj-1338	198	3	who	who	PRON
cuesj-1338	198	4	classification	classification	NOUN
cuesj-1338	198	5	of	of	ADP
cuesj-1338	198	6	tumors	tumor	NOUN
cuesj-1338	198	7	of	of	ADP
cuesj-1338	198	8	the	the	DET
cuesj-1338	198	9	central	central	ADJ
cuesj-1338	198	10	nervous	nervous	ADJ
cuesj-1338	198	11	system	system	NOUN
cuesj-1338	198	12	:	:	PUNCT
cuesj-1338	198	13	a	a	DET
cuesj-1338	198	14	summary	summary	NOUN
cuesj-1338	198	15	.	.	PUNCT
cuesj-1338	199	1	neuro	neuro	NOUN
cuesj-1338	199	2	-	-	PUNCT
cuesj-1338	199	3	oncology	oncology	NOUN
cuesj-1338	199	4	,	,	PUNCT
cuesj-1338	199	5	vol	vol	NOUN
cuesj-1338	199	6	.	.	PROPN
cuesj-1338	199	7	23	23	NUM
cuesj-1338	199	8	,	,	PUNCT
cuesj-1338	199	9	no	no	INTJ
cuesj-1338	199	10	.	.	NOUN
cuesj-1338	199	11	8	8	NUM
cuesj-1338	199	12	,	,	PUNCT
cuesj-1338	199	13	pp	pp	ADJ
cuesj-1338	199	14	.	.	PUNCT
cuesj-1338	199	15	1231	1231	NUM
cuesj-1338	199	16	-	-	SYM
cuesj-1338	199	17	1251	1251	NUM
cuesj-1338	199	18	,	,	PUNCT
cuesj-1338	199	19	2021	2021	NUM
cuesj-1338	199	20	.	.	PUNCT
cuesj-1338	200	1	2	2	X
cuesj-1338	200	2	.	.	PUNCT
cuesj-1338	200	3	q.	q.	PROPN
cuesj-1338	200	4	t.	t.	PROPN
cuesj-1338	200	5	ostrom	ostrom	PROPN
cuesj-1338	200	6	,	,	PUNCT
cuesj-1338	200	7	n.	n.	PROPN
cuesj-1338	200	8	patil	patil	PROPN
cuesj-1338	200	9	,	,	PUNCT
cuesj-1338	200	10	g.	g.	PROPN
cuesj-1338	200	11	cioffi	cioffi	PROPN
cuesj-1338	200	12	,	,	PUNCT
cuesj-1338	200	13	k.	k.	PROPN
cuesj-1338	200	14	waite	waite	PROPN
cuesj-1338	200	15	,	,	PUNCT
cuesj-1338	200	16	c.	c.	PROPN
cuesj-1338	200	17	kruchko	kruchko	PROPN
cuesj-1338	200	18	and	and	CCONJ
cuesj-1338	200	19	j.	j.	PROPN
cuesj-1338	200	20	s.	s.	PROPN
cuesj-1338	200	21	barnholtz	barnholtz	PROPN
cuesj-1338	200	22	-	-	PUNCT
cuesj-1338	200	23	sloan	sloan	NOUN
cuesj-1338	200	24	.	.	PUNCT
cuesj-1338	201	1	cbtrus	cbtrus	NOUN
cuesj-1338	201	2	statistical	statistical	ADJ
cuesj-1338	201	3	report	report	NOUN
cuesj-1338	201	4	:	:	PUNCT
cuesj-1338	201	5	primary	primary	ADJ
cuesj-1338	201	6	brain	brain	NOUN
cuesj-1338	201	7	and	and	CCONJ
cuesj-1338	201	8	other	other	ADJ
cuesj-1338	201	9	central	central	ADJ
cuesj-1338	201	10	nervous	nervous	ADJ
cuesj-1338	201	11	system	system	NOUN
cuesj-1338	201	12	tumors	tumor	NOUN
cuesj-1338	201	13	diagnosed	diagnose	VERB
cuesj-1338	201	14	in	in	ADP
cuesj-1338	201	15	the	the	DET
cuesj-1338	201	16	united	united	PROPN
cuesj-1338	201	17	states	states	PROPN
cuesj-1338	201	18	in	in	ADP
cuesj-1338	201	19	2013	2013	NUM
cuesj-1338	201	20	-	-	SYM
cuesj-1338	201	21	2017	2017	NUM
cuesj-1338	201	22	.	.	PUNCT
cuesj-1338	202	1	neuro	neuro	NOUN
cuesj-1338	202	2	-	-	PUNCT
cuesj-1338	202	3	oncology	oncology	NOUN
cuesj-1338	202	4	,	,	PUNCT
cuesj-1338	202	5	vol	vol	NOUN
cuesj-1338	202	6	.	.	PROPN
cuesj-1338	202	7	22	22	NUM
cuesj-1338	202	8	,	,	PUNCT
cuesj-1338	202	9	no	no	INTJ
cuesj-1338	202	10	.	.	PUNCT
cuesj-1338	203	1	suppl	suppl	PROPN
cuesj-1338	203	2	1	1	NUM
cuesj-1338	203	3	,	,	PUNCT
cuesj-1338	203	4	pp	pp	PROPN
cuesj-1338	203	5	.	.	PUNCT
cuesj-1338	204	1	iv1	iv1	PROPN
cuesj-1338	204	2	-	-	PUNCT
cuesj-1338	204	3	iv96	iv96	ADJ
cuesj-1338	204	4	,	,	PUNCT
cuesj-1338	204	5	2020	2020	NUM
cuesj-1338	204	6	.	.	PUNCT
cuesj-1338	205	1	3	3	X
cuesj-1338	205	2	.	.	PUNCT
cuesj-1338	205	3	y.	y.	PROPN
cuesj-1338	205	4	ma	ma	PROPN
cuesj-1338	205	5	and	and	CCONJ
cuesj-1338	205	6	z.	z.	PROPN
cuesj-1338	205	7	xi	xi	PROPN
cuesj-1338	205	8	.	.	PUNCT
cuesj-1338	206	1	integrated	integrate	VERB
cuesj-1338	206	2	analysis	analysis	NOUN
cuesj-1338	206	3	of	of	ADP
cuesj-1338	206	4	multiomics	multiomics	NOUN
cuesj-1338	206	5	data	datum	NOUN
cuesj-1338	206	6	identified	identify	VERB
cuesj-1338	206	7	molecular	molecular	ADJ
cuesj-1338	206	8	subtypes	subtype	NOUN
cuesj-1338	206	9	and	and	CCONJ
cuesj-1338	206	10	oxidative	oxidative	ADJ
cuesj-1338	206	11	stress	stress	NOUN
cuesj-1338	206	12	-	-	PUNCT
cuesj-1338	206	13	related	relate	VERB
cuesj-1338	206	14	prognostic	prognostic	ADJ
cuesj-1338	206	15	biomarkers	biomarker	NOUN
cuesj-1338	206	16	in	in	ADP
cuesj-1338	206	17	glioblastoma	glioblastoma	NOUN
cuesj-1338	206	18	multiforme	multiforme	NOUN
cuesj-1338	206	19	.	.	PUNCT
cuesj-1338	207	1	oxidative	oxidative	ADJ
cuesj-1338	207	2	medicine	medicine	NOUN
cuesj-1338	207	3	and	and	CCONJ
cuesj-1338	207	4	cellular	cellular	ADJ
cuesj-1338	207	5	longevity	longevity	NOUN
cuesj-1338	207	6	,	,	PUNCT
cuesj-1338	207	7	vol	vol	NOUN
cuesj-1338	207	8	.	.	NOUN
cuesj-1338	207	9	2022	2022	NUM
cuesj-1338	207	10	,	,	PUNCT
cuesj-1338	207	11	pp	pp	ADJ
cuesj-1338	207	12	.	.	PUNCT
cuesj-1338	208	1	1	1	NUM
cuesj-1338	208	2	-	-	SYM
cuesj-1338	208	3	15	15	NUM
cuesj-1338	208	4	,	,	PUNCT
cuesj-1338	208	5	2022	2022	NUM
cuesj-1338	208	6	.	.	PUNCT
cuesj-1338	209	1	4	4	X
cuesj-1338	209	2	.	.	X
cuesj-1338	209	3	m.	m.	NOUN
cuesj-1338	209	4	ahdesmäki	ahdesmäki	PROPN
cuesj-1338	209	5	and	and	CCONJ
cuesj-1338	209	6	k.	k.	PROPN
cuesj-1338	209	7	strimmer	strimmer	PROPN
cuesj-1338	209	8	.	.	PUNCT
cuesj-1338	210	1	feature	feature	NOUN
cuesj-1338	210	2	selection	selection	NOUN
cuesj-1338	210	3	in	in	ADP
cuesj-1338	210	4	omics	omics	PROPN
cuesj-1338	210	5	prediction	prediction	NOUN
cuesj-1338	210	6	problems	problem	NOUN
cuesj-1338	210	7	using	use	VERB
cuesj-1338	210	8	cat	cat	NOUN
cuesj-1338	210	9	scores	score	NOUN
cuesj-1338	210	10	and	and	CCONJ
cuesj-1338	210	11	false	false	ADJ
cuesj-1338	210	12	nondiscovery	nondiscovery	NOUN
cuesj-1338	210	13	rate	rate	NOUN
cuesj-1338	210	14	control	control	NOUN
cuesj-1338	210	15	.	.	PUNCT
cuesj-1338	211	1	the	the	DET
cuesj-1338	211	2	annals	annal	NOUN
cuesj-1338	211	3	of	of	ADP
cuesj-1338	211	4	applied	applied	ADJ
cuesj-1338	211	5	statistics	statistic	NOUN
cuesj-1338	211	6	,	,	PUNCT
cuesj-1338	211	7	vol	vol	NOUN
cuesj-1338	211	8	.	.	PROPN
cuesj-1338	211	9	4	4	NUM
cuesj-1338	211	10	,	,	PUNCT
cuesj-1338	211	11	no	no	INTJ
cuesj-1338	211	12	.	.	NOUN
cuesj-1338	211	13	1	1	NUM
cuesj-1338	211	14	,	,	PUNCT
cuesj-1338	211	15	pp	pp	ADJ
cuesj-1338	211	16	.	.	PUNCT
cuesj-1338	212	1	503	503	NUM
cuesj-1338	212	2	-	-	SYM
cuesj-1338	212	3	5192010	5192010	NUM
cuesj-1338	212	4	.	.	PUNCT
cuesj-1338	213	1	5	5	X
cuesj-1338	213	2	.	.	PUNCT
cuesj-1338	213	3	t.	t.	PROPN
cuesj-1338	213	4	hastie	hastie	PROPN
cuesj-1338	213	5	,	,	PUNCT
cuesj-1338	213	6	t.	t.	PROPN
cuesj-1338	213	7	robert	robert	PROPN
cuesj-1338	213	8	and	and	CCONJ
cuesj-1338	213	9	j.	j.	PROPN
cuesj-1338	213	10	friedman	friedman	PROPN
cuesj-1338	213	11	.	.	PUNCT
cuesj-1338	214	1	the	the	DET
cuesj-1338	214	2	elements	element	NOUN
cuesj-1338	214	3	of	of	ADP
cuesj-1338	214	4	statistical	statistical	ADJ
cuesj-1338	214	5	learning	learning	NOUN
cuesj-1338	214	6	:	:	PUNCT
cuesj-1338	214	7	data	datum	NOUN
cuesj-1338	214	8	mining	mining	NOUN
cuesj-1338	214	9	,	,	PUNCT
cuesj-1338	214	10	inference	inference	NOUN
cuesj-1338	214	11	,	,	PUNCT
cuesj-1338	214	12	and	and	CCONJ
cuesj-1338	214	13	prediction	prediction	NOUN
cuesj-1338	214	14	.	.	PUNCT
cuesj-1338	215	1	springer	springer	NOUN
cuesj-1338	215	2	series	series	PROPN
cuesj-1338	215	3	in	in	ADP
cuesj-1338	215	4	statistics	statistic	NOUN
cuesj-1338	215	5	.	.	PUNCT
cuesj-1338	216	1	2nded	2nded	NUM
cuesj-1338	216	2	.	.	PROPN
cuesj-1338	216	3	,	,	PUNCT
cuesj-1338	216	4	vol	vol	NOUN
cuesj-1338	216	5	.	.	PROPN
cuesj-1338	216	6	10	10	NUM
cuesj-1338	216	7	.	.	X
cuesj-1338	217	1	springer	springer	PROPN
cuesj-1338	217	2	,	,	PUNCT
cuesj-1338	217	3	germany	germany	PROPN
cuesj-1338	217	4	;	;	PUNCT
cuesj-1338	217	5	2009	2009	NUM
cuesj-1338	217	6	.	.	PUNCT
cuesj-1338	218	1	p.	p.	NOUN
cuesj-1338	218	2	0387848576	0387848576	NUM
cuesj-1338	218	3	.	.	PUNCT
cuesj-1338	219	1	6	6	X
cuesj-1338	219	2	.	.	X
cuesj-1338	219	3	d.	d.	PROPN
cuesj-1338	219	4	w.	w.	PROPN
cuesj-1338	219	5	hosmer	hosmer	PROPN
cuesj-1338	219	6	jr	jr	PROPN
cuesj-1338	219	7	.	.	PROPN
cuesj-1338	219	8	,	,	PUNCT
cuesj-1338	219	9	s.	s.	PROPN
cuesj-1338	219	10	lemeshow	lemeshow	PROPN
cuesj-1338	219	11	and	and	CCONJ
cuesj-1338	219	12	r.	r.	PROPN
cuesj-1338	219	13	x.	x.	PROPN
cuesj-1338	219	14	sturdivant	sturdivant	PROPN
cuesj-1338	219	15	.	.	PUNCT
cuesj-1338	220	1	applied	apply	VERB
cuesj-1338	220	2	logistic	logistic	ADJ
cuesj-1338	220	3	regression	regression	NOUN
cuesj-1338	220	4	.	.	PUNCT
cuesj-1338	221	1	wiley	wiley	PROPN
cuesj-1338	221	2	,	,	PUNCT
cuesj-1338	221	3	united	united	PROPN
cuesj-1338	221	4	states	states	PROPN
cuesj-1338	221	5	;	;	PUNCT
cuesj-1338	221	6	2013	2013	NUM
cuesj-1338	221	7	.	.	PUNCT
cuesj-1338	222	1	7	7	X
cuesj-1338	222	2	.	.	X
cuesj-1338	222	3	pearson	pearson	PROPN
cuesj-1338	222	4	deutschland	deutschland	PROPN
cuesj-1338	222	5	.	.	PUNCT
cuesj-1338	223	1	econometric	econometric	ADJ
cuesj-1338	223	2	analysis	analysis	NOUN
cuesj-1338	223	3	.	.	PUNCT
cuesj-1338	224	1	pearson	pearson	PROPN
cuesj-1338	224	2	elibrary	elibrary	PROPN
cuesj-1338	224	3	;	;	PUNCT
cuesj-1338	224	4	2019	2019	NUM
cuesj-1338	224	5	.	.	PUNCT
cuesj-1338	225	1	available	available	ADJ
cuesj-1338	225	2	from	from	ADP
cuesj-1338	225	3	:	:	PUNCT
cuesj-1338	225	4	https://elibrary.pearson.de/	https://elibrary.pearson.de/	PROPN
cuesj-1338	225	5	book/99.150005/9781292231150	book/99.150005/9781292231150	PROPN
cuesj-1338	226	1	[	[	X
cuesj-1338	226	2	last	last	ADV
cuesj-1338	226	3	accessed	access	VERB
cuesj-1338	226	4	on	on	ADP
cuesj-1338	226	5	2024	2024	NUM
cuesj-1338	226	6	jun	jun	PROPN
cuesj-1338	226	7	10	10	NUM
cuesj-1338	226	8	]	]	PUNCT
cuesj-1338	226	9	.	.	PUNCT
cuesj-1338	227	1	8	8	X
cuesj-1338	227	2	.	.	PUNCT
cuesj-1338	227	3	n.	n.	PROPN
cuesj-1338	227	4	mahmood	mahmood	PROPN
cuesj-1338	227	5	,	,	PUNCT
cuesj-1338	227	6	r.	r.	PROPN
cuesj-1338	227	7	yahya	yahya	PROPN
cuesj-1338	227	8	and	and	CCONJ
cuesj-1338	227	9	s.	s.	PROPN
cuesj-1338	227	10	aziz	aziz	PROPN
cuesj-1338	227	11	.	.	PROPN
cuesj-1338	227	12	apply	apply	VERB
cuesj-1338	227	13	binary	binary	ADJ
cuesj-1338	227	14	logistic	logistic	ADJ
cuesj-1338	227	15	regression	regression	NOUN
cuesj-1338	227	16	model	model	NOUN
cuesj-1338	227	17	to	to	PART
cuesj-1338	227	18	recognize	recognize	VERB
cuesj-1338	227	19	the	the	DET
cuesj-1338	227	20	risk	risk	NOUN
cuesj-1338	227	21	factors	factor	NOUN
cuesj-1338	227	22	of	of	ADP
cuesj-1338	227	23	diabetes	diabetes	NOUN
cuesj-1338	227	24	through	through	ADP
cuesj-1338	227	25	measuring	measure	VERB
cuesj-1338	227	26	glycated	glycate	VERB
cuesj-1338	227	27	hemoglobin	hemoglobin	NOUN
cuesj-1338	227	28	levels	level	NOUN
cuesj-1338	227	29	.	.	PUNCT
cuesj-1338	228	1	cuesj	cuesj	ADJ
cuesj-1338	228	2	,	,	PUNCT
cuesj-1338	228	3	vol	vol	NOUN
cuesj-1338	228	4	.	.	PROPN
cuesj-1338	229	1	6	6	NUM
cuesj-1338	229	2	,	,	PUNCT
cuesj-1338	229	3	no	no	INTJ
cuesj-1338	229	4	.	.	NOUN
cuesj-1338	229	5	1	1	NUM
cuesj-1338	229	6	,	,	PUNCT
cuesj-1338	229	7	pp	pp	ADJ
cuesj-1338	229	8	.	.	PUNCT
cuesj-1338	230	1	7	7	NUM
cuesj-1338	230	2	-	-	SYM
cuesj-1338	230	3	11	11	NUM
cuesj-1338	230	4	,	,	PUNCT
cuesj-1338	230	5	2022	2022	NUM
cuesj-1338	230	6	.	.	PUNCT
cuesj-1338	231	1	9	9	NUM
cuesj-1338	231	2	.	.	PUNCT
cuesj-1338	232	1	p.	p.	NOUN
cuesj-1338	232	2	bühlmann	bühlmann	PROPN
cuesj-1338	232	3	and	and	CCONJ
cuesj-1338	232	4	s.	s.	PROPN
cuesj-1338	232	5	van	van	PROPN
cuesj-1338	232	6	de	de	PROPN
cuesj-1338	232	7	geer	geer	PROPN
cuesj-1338	232	8	.	.	PUNCT
cuesj-1338	233	1	statistics	statistic	NOUN
cuesj-1338	233	2	for	for	ADP
cuesj-1338	233	3	high	high	ADJ
cuesj-1338	233	4	-	-	PUNCT
cuesj-1338	233	5	dimensional	dimensional	ADJ
cuesj-1338	233	6	data	datum	NOUN
cuesj-1338	233	7	.	.	PUNCT
cuesj-1338	234	1	springer	springer	PROPN
cuesj-1338	234	2	,	,	PUNCT
cuesj-1338	234	3	germany	germany	PROPN
cuesj-1338	234	4	,	,	PUNCT
cuesj-1338	234	5	2011	2011	NUM
cuesj-1338	234	6	.	.	PUNCT
cuesj-1338	235	1	10	10	NUM
cuesj-1338	235	2	.	.	PUNCT
cuesj-1338	236	1	k.	k.	PROPN
cuesj-1338	237	1	p.	p.	PROPN
cuesj-1338	237	2	vatcheva	vatcheva	PROPN
cuesj-1338	237	3	,	,	PUNCT
cuesj-1338	237	4	m.	m.	PROPN
cuesj-1338	237	5	lee	lee	PROPN
cuesj-1338	237	6	,	,	PUNCT
cuesj-1338	237	7	j.	j.	PROPN
cuesj-1338	237	8	b.	b.	PROPN
cuesj-1338	237	9	mccormick	mccormick	PROPN
cuesj-1338	237	10	and	and	CCONJ
cuesj-1338	237	11	m.	m.	PROPN
cuesj-1338	237	12	h.	h.	PROPN
cuesj-1338	237	13	rahbar	rahbar	PROPN
cuesj-1338	237	14	.	.	PUNCT
cuesj-1338	238	1	multicollinearity	multicollinearity	NOUN
cuesj-1338	238	2	in	in	ADP
cuesj-1338	238	3	regression	regression	NOUN
cuesj-1338	238	4	analyses	analysis	NOUN
cuesj-1338	238	5	conducted	conduct	VERB
cuesj-1338	238	6	in	in	ADP
cuesj-1338	238	7	epidemiologic	epidemiologic	ADJ
cuesj-1338	238	8	studies	study	NOUN
cuesj-1338	238	9	.	.	PUNCT
cuesj-1338	239	1	epidemiology	epidemiology	NOUN
cuesj-1338	239	2	(	(	PUNCT
cuesj-1338	239	3	sunnyvale	sunnyvale	PROPN
cuesj-1338	239	4	)	)	PUNCT
cuesj-1338	239	5	,	,	PUNCT
cuesj-1338	239	6	vol	vol	NOUN
cuesj-1338	239	7	.	.	PROPN
cuesj-1338	239	8	6	6	NUM
cuesj-1338	239	9	,	,	PUNCT
cuesj-1338	239	10	no	no	INTJ
cuesj-1338	239	11	.	.	NOUN
cuesj-1338	239	12	2	2	NUM
cuesj-1338	239	13	,	,	PUNCT
cuesj-1338	239	14	p.	p.	NOUN
cuesj-1338	239	15	227	227	NUM
cuesj-1338	239	16	,	,	PUNCT
cuesj-1338	239	17	2016	2016	NUM
cuesj-1338	239	18	.	.	PUNCT
cuesj-1338	240	1	11	11	NUM
cuesj-1338	240	2	.	.	PUNCT
cuesj-1338	241	1	h.	h.	PROPN
cuesj-1338	241	2	zou	zou	PROPN
cuesj-1338	241	3	and	and	CCONJ
cuesj-1338	241	4	t.	t.	PROPN
cuesj-1338	241	5	hastie	hastie	PROPN
cuesj-1338	241	6	.	.	PUNCT
cuesj-1338	242	1	regularization	regularization	NOUN
cuesj-1338	242	2	and	and	CCONJ
cuesj-1338	242	3	variable	variable	ADJ
cuesj-1338	242	4	selection	selection	NOUN
cuesj-1338	242	5	via	via	ADP
cuesj-1338	242	6	the	the	DET
cuesj-1338	242	7	elastic	elastic	ADJ
cuesj-1338	242	8	net	net	NOUN
cuesj-1338	242	9	.	.	PUNCT
cuesj-1338	243	1	journal	journal	NOUN
cuesj-1338	243	2	of	of	ADP
cuesj-1338	243	3	the	the	DET
cuesj-1338	243	4	royal	royal	ADJ
cuesj-1338	243	5	statistical	statistical	ADJ
cuesj-1338	243	6	society	society	NOUN
cuesj-1338	243	7	series	series	PROPN
cuesj-1338	243	8	b	b	PROPN
cuesj-1338	243	9	(	(	PUNCT
cuesj-1338	243	10	statistical	statistical	ADJ
cuesj-1338	243	11	methodology	methodology	NOUN
cuesj-1338	243	12	)	)	PUNCT
cuesj-1338	243	13	,	,	PUNCT
cuesj-1338	243	14	vol	vol	NOUN
cuesj-1338	243	15	.	.	PROPN
cuesj-1338	243	16	67	67	NUM
cuesj-1338	243	17	,	,	PUNCT
cuesj-1338	243	18	no	no	INTJ
cuesj-1338	243	19	.	.	NOUN
cuesj-1338	243	20	2	2	NUM
cuesj-1338	243	21	,	,	PUNCT
cuesj-1338	243	22	pp	pp	ADJ
cuesj-1338	243	23	.	.	PUNCT
cuesj-1338	244	1	301–320	301–320	NUM
cuesj-1338	244	2	,	,	PUNCT
cuesj-1338	244	3	2005	2005	NUM
cuesj-1338	244	4	.	.	PUNCT
cuesj-1338	245	1	12	12	NUM
cuesj-1338	245	2	.	.	PUNCT
cuesj-1338	246	1	r.	r.	PROPN
cuesj-1338	246	2	tibshirani	tibshirani	PROPN
cuesj-1338	246	3	.	.	PUNCT
cuesj-1338	247	1	regression	regression	NOUN
cuesj-1338	247	2	shrinkage	shrinkage	NOUN
cuesj-1338	247	3	and	and	CCONJ
cuesj-1338	247	4	selection	selection	NOUN
cuesj-1338	247	5	via	via	ADP
cuesj-1338	247	6	the	the	DET
cuesj-1338	247	7	lasso	lasso	NOUN
cuesj-1338	247	8	.	.	PUNCT
cuesj-1338	248	1	journal	journal	NOUN
cuesj-1338	248	2	of	of	ADP
cuesj-1338	248	3	the	the	DET
cuesj-1338	248	4	royal	royal	ADJ
cuesj-1338	248	5	statistical	statistical	ADJ
cuesj-1338	248	6	society	society	NOUN
cuesj-1338	248	7	series	series	PROPN
cuesj-1338	248	8	b	b	PROPN
cuesj-1338	248	9	(	(	PUNCT
cuesj-1338	248	10	statistical	statistical	ADJ
cuesj-1338	248	11	methodology	methodology	NOUN
cuesj-1338	248	12	)	)	PUNCT
cuesj-1338	248	13	,	,	PUNCT
cuesj-1338	248	14	vol	vol	NOUN
cuesj-1338	248	15	.	.	PROPN
cuesj-1338	249	1	58	58	NUM
cuesj-1338	249	2	,	,	PUNCT
cuesj-1338	249	3	no	no	INTJ
cuesj-1338	249	4	.	.	NOUN
cuesj-1338	249	5	1	1	NUM
cuesj-1338	249	6	,	,	PUNCT
cuesj-1338	249	7	pp	pp	ADJ
cuesj-1338	249	8	.	.	PUNCT
cuesj-1338	250	1	267	267	NUM
cuesj-1338	250	2	-	-	SYM
cuesj-1338	250	3	288	288	NUM
cuesj-1338	250	4	,	,	PUNCT
cuesj-1338	250	5	1996	1996	NUM
cuesj-1338	250	6	.	.	PUNCT
cuesj-1338	251	1	13	13	NUM
cuesj-1338	251	2	.	.	PUNCT
cuesj-1338	251	3	n.	n.	PROPN
cuesj-1338	251	4	h.	h.	PROPN
cuesj-1338	251	5	mahmood	mahmood	PROPN
cuesj-1338	251	6	,	,	PUNCT
cuesj-1338	251	7	d.	d.	PROPN
cuesj-1338	251	8	h.	h.	PROPN
cuesj-1338	251	9	kadir	kadir	PROPN
cuesj-1338	251	10	,	,	PUNCT
cuesj-1338	251	11	r.	r.	PROPN
cuesj-1338	251	12	o.	o.	PROPN
cuesj-1338	251	13	yahya	yahya	PROPN
cuesj-1338	251	14	and	and	CCONJ
cuesj-1338	251	15	h.	h.	PROPN
cuesj-1338	251	16	q.	q.	PROPN
cuesj-1338	251	17	birdawod	birdawod	PROPN
cuesj-1338	251	18	.	.	PUNCT
cuesj-1338	252	1	the	the	DET
cuesj-1338	252	2	significance	significance	NOUN
cuesj-1338	252	3	of	of	ADP
cuesj-1338	252	4	delivery	delivery	NOUN
cuesj-1338	252	5	methods	method	NOUN
cuesj-1338	252	6	and	and	CCONJ
cuesj-1338	252	7	fetal	fetal	ADJ
cuesj-1338	252	8	gender	gender	NOUN
cuesj-1338	252	9	in	in	ADP
cuesj-1338	252	10	reducing	reduce	VERB
cuesj-1338	252	11	stillbirth	stillbirth	NOUN
cuesj-1338	252	12	rate	rate	NOUN
cuesj-1338	252	13	:	:	PUNCT
cuesj-1338	252	14	using	use	VERB
cuesj-1338	252	15	the	the	DET
cuesj-1338	252	16	generalized	generalized	ADJ
cuesj-1338	252	17	regression	regression	NOUN
cuesj-1338	252	18	model	model	NOUN
cuesj-1338	252	19	.	.	PUNCT
cuesj-1338	253	1	clinical	clinical	ADJ
cuesj-1338	253	2	epidemiology	epidemiology	NOUN
cuesj-1338	253	3	and	and	CCONJ
cuesj-1338	253	4	global	global	ADJ
cuesj-1338	253	5	health	health	NOUN
cuesj-1338	253	6	,	,	PUNCT
cuesj-1338	253	7	vol	vol	NOUN
cuesj-1338	253	8	.	.	PROPN
cuesj-1338	253	9	29	29	NUM
cuesj-1338	253	10	,	,	PUNCT
cuesj-1338	253	11	p.	p.	NOUN
cuesj-1338	253	12	101710	101710	NUM
cuesj-1338	253	13	,	,	PUNCT
cuesj-1338	253	14	2024	2024	NUM
cuesj-1338	253	15	.	.	PUNCT
cuesj-1338	254	1	14	14	NUM
cuesj-1338	254	2	.	.	PUNCT
cuesj-1338	255	1	j.	j.	PROPN
cuesj-1338	255	2	friedman	friedman	PROPN
cuesj-1338	255	3	,	,	PUNCT
cuesj-1338	255	4	t.	t.	PROPN
cuesj-1338	255	5	hastie	hastie	PROPN
cuesj-1338	255	6	and	and	CCONJ
cuesj-1338	255	7	r.	r.	PROPN
cuesj-1338	255	8	tibshirani	tibshirani	PROPN
cuesj-1338	255	9	.	.	PUNCT
cuesj-1338	256	1	regularization	regularization	NOUN
cuesj-1338	256	2	paths	path	NOUN
cuesj-1338	256	3	for	for	ADP
cuesj-1338	256	4	generalized	generalized	ADJ
cuesj-1338	256	5	linear	linear	NOUN
cuesj-1338	256	6	models	model	NOUN
cuesj-1338	256	7	via	via	ADP
cuesj-1338	256	8	coordinate	coordinate	ADJ
cuesj-1338	256	9	descent	descent	NOUN
cuesj-1338	256	10	.	.	PUNCT
cuesj-1338	257	1	journal	journal	NOUN
cuesj-1338	257	2	of	of	ADP
cuesj-1338	257	3	statistical	statistical	ADJ
cuesj-1338	257	4	software	software	NOUN
cuesj-1338	257	5	,	,	PUNCT
cuesj-1338	257	6	vol	vol	NOUN
cuesj-1338	257	7	.	.	PROPN
cuesj-1338	258	1	33	33	NUM
cuesj-1338	258	2	,	,	PUNCT
cuesj-1338	258	3	no	no	INTJ
cuesj-1338	258	4	.	.	NOUN
cuesj-1338	258	5	1	1	NUM
cuesj-1338	258	6	,	,	PUNCT
cuesj-1338	258	7	pp	pp	ADJ
cuesj-1338	258	8	.	.	PUNCT
cuesj-1338	259	1	1	1	NUM
cuesj-1338	259	2	-	-	SYM
cuesj-1338	259	3	22	22	NUM
cuesj-1338	259	4	,	,	PUNCT
cuesj-1338	259	5	2010	2010	NUM
cuesj-1338	259	6	.	.	PUNCT
cuesj-1338	260	1	15	15	NUM
cuesj-1338	260	2	.	.	PUNCT
cuesj-1338	261	1	j.	j.	PROPN
cuesj-1338	261	2	o.	o.	PROPN
cuesj-1338	261	3	ogutu	ogutu	PROPN
cuesj-1338	261	4	,	,	PUNCT
cuesj-1338	261	5	t.	t.	PROPN
cuesj-1338	261	6	schulz	schulz	PROPN
cuesj-1338	261	7	-	-	PUNCT
cuesj-1338	261	8	streeck	streeck	NOUN
cuesj-1338	261	9	and	and	CCONJ
cuesj-1338	261	10	h.	h.	PROPN
cuesj-1338	261	11	p.	p.	PROPN
cuesj-1338	261	12	piepho	piepho	VERB
cuesj-1338	261	13	.	.	PUNCT
cuesj-1338	262	1	genomic	genomic	ADJ
cuesj-1338	262	2	selection	selection	NOUN
cuesj-1338	262	3	using	use	VERB
cuesj-1338	262	4	regularized	regularize	VERB
cuesj-1338	262	5	linear	linear	ADJ
cuesj-1338	262	6	regression	regression	NOUN
cuesj-1338	262	7	models	model	NOUN
cuesj-1338	262	8	:	:	PUNCT
cuesj-1338	262	9	ridge	ridge	NOUN
cuesj-1338	262	10	regression	regression	PROPN
cuesj-1338	262	11	,	,	PUNCT
cuesj-1338	262	12	lasso	lasso	NOUN
cuesj-1338	262	13	,	,	PUNCT
cuesj-1338	262	14	elastic	elastic	ADJ
cuesj-1338	262	15	net	net	NOUN
cuesj-1338	262	16	and	and	CCONJ
cuesj-1338	262	17	their	their	PRON
cuesj-1338	262	18	extensions	extension	NOUN
cuesj-1338	262	19	.	.	PUNCT
cuesj-1338	263	1	bmc	bmc	ADJ
cuesj-1338	263	2	proceedings	proceeding	NOUN
cuesj-1338	263	3	,	,	PUNCT
cuesj-1338	263	4	vol	vol	NOUN
cuesj-1338	263	5	.	.	PROPN
cuesj-1338	264	1	6	6	NUM
cuesj-1338	264	2	,	,	PUNCT
cuesj-1338	264	3	no	no	INTJ
cuesj-1338	264	4	.	.	PUNCT
cuesj-1338	264	5	s2	s2	PROPN
cuesj-1338	264	6	,	,	PUNCT
cuesj-1338	264	7	p.	p.	NOUN
cuesj-1338	264	8	s10	s10	PROPN
cuesj-1338	264	9	,	,	PUNCT
cuesj-1338	264	10	2012	2012	NUM
cuesj-1338	264	11	.	.	PUNCT
cuesj-1338	265	1	16	16	NUM
cuesj-1338	265	2	.	.	PUNCT
cuesj-1338	266	1	n.	n.	PROPN
cuesj-1338	266	2	mahmood	mahmood	PROPN
cuesj-1338	266	3	.	.	PUNCT
cuesj-1338	267	1	sparse	sparse	ADJ
cuesj-1338	267	2	ridge	ridge	NOUN
cuesj-1338	267	3	fusion	fusion	NOUN
cuesj-1338	267	4	for	for	ADP
cuesj-1338	267	5	linear	linear	ADJ
cuesj-1338	267	6	regression	regression	NOUN
cuesj-1338	267	7	.	.	PUNCT
cuesj-1338	268	1	stars	star	NOUN
cuesj-1338	268	2	,	,	PUNCT
cuesj-1338	268	3	2013	2013	NUM
cuesj-1338	268	4	.	.	PUNCT
cuesj-1338	269	1	available	available	ADJ
cuesj-1338	269	2	from	from	ADP
cuesj-1338	269	3	:	:	PUNCT
cuesj-1338	269	4	https://stars.library.ucf.edu/etd/2767	https://stars.library.ucf.edu/etd/2767	PROPN
cuesj-1338	269	5	[	[	X
cuesj-1338	269	6	last	last	ADV
cuesj-1338	269	7	accessed	access	VERB
cuesj-1338	269	8	on	on	ADP
cuesj-1338	269	9	2024	2024	NUM
cuesj-1338	269	10	jul	jul	NOUN
cuesj-1338	269	11	03	03	NUM
cuesj-1338	269	12	]	]	PUNCT
cuesj-1338	269	13	.	.	PUNCT
cuesj-1338	270	1	17	17	NUM
cuesj-1338	270	2	.	.	PUNCT
cuesj-1338	271	1	t.	t.	PROPN
cuesj-1338	271	2	hastie	hastie	PROPN
cuesj-1338	271	3	,	,	PUNCT
cuesj-1338	271	4	r.	r.	PROPN
cuesj-1338	271	5	tibshirani	tibshirani	PROPN
cuesj-1338	271	6	and	and	CCONJ
cuesj-1338	271	7	m.	m.	PROPN
cuesj-1338	271	8	wainwright	wainwright	PROPN
cuesj-1338	271	9	.	.	PUNCT
cuesj-1338	272	1	statistical	statistical	ADJ
cuesj-1338	272	2	learning	learning	NOUN
cuesj-1338	272	3	with	with	ADP
cuesj-1338	272	4	sparsity	sparsity	NOUN
cuesj-1338	272	5	.	.	PUNCT
cuesj-1338	273	1	crc	crc	PROPN
cuesj-1338	273	2	press	press	PROPN
cuesj-1338	273	3	,	,	PUNCT
cuesj-1338	273	4	united	united	PROPN
cuesj-1338	273	5	states	states	PROPN
cuesj-1338	273	6	,	,	PUNCT
cuesj-1338	273	7	2015	2015	NUM
cuesj-1338	273	8	.	.	PUNCT
cuesj-1338	274	1	18	18	NUM
cuesj-1338	274	2	.	.	PUNCT
cuesj-1338	274	3	m.	m.	PROPN
cuesj-1338	274	4	ceccarelli	ceccarelli	PROPN
cuesj-1338	274	5	,	,	PUNCT
cuesj-1338	274	6	f.	f.	PROPN
cuesj-1338	274	7	p.	p.	PROPN
cuesj-1338	274	8	barthel	barthel	PROPN
cuesj-1338	274	9	,	,	PUNCT
cuesj-1338	274	10	t.	t.	PROPN
cuesj-1338	274	11	m.	m.	PROPN
cuesj-1338	274	12	malta	malta	PROPN
cuesj-1338	274	13	,	,	PUNCT
cuesj-1338	274	14	t.	t.	PROPN
cuesj-1338	274	15	s.	s.	PROPN
cuesj-1338	274	16	sabedot	sabedot	PROPN
cuesj-1338	274	17	,	,	PUNCT
cuesj-1338	274	18	s.	s.	PROPN
cuesj-1338	274	19	r.	r.	PROPN
cuesj-1338	274	20	salama	salama	PROPN
cuesj-1338	274	21	,	,	PUNCT
cuesj-1338	274	22	b.	b.	PROPN
cuesj-1338	274	23	a.	a.	PROPN
cuesj-1338	274	24	murray	murray	PROPN
cuesj-1338	274	25	,	,	PUNCT
cuesj-1338	274	26	t.	t.	PROPN
cuesj-1338	274	27	s.	s.	PROPN
cuesj-1338	274	28	sabedot	sabedot	PROPN
cuesj-1338	274	29	,	,	PUNCT
cuesj-1338	274	30	b.	b.	PROPN
cuesj-1338	274	31	a.	a.	PROPN
cuesj-1338	274	32	murray	murray	PROPN
cuesj-1338	274	33	,	,	PUNCT
cuesj-1338	274	34	o.	o.	PROPN
cuesj-1338	274	35	morozova	morozova	PROPN
cuesj-1338	274	36	,	,	PUNCT
cuesj-1338	274	37	…	…	PUNCT
cuesj-1338	274	38	&	&	CCONJ
cuesj-1338	274	39	y.	y.	PROPN
cuesj-1338	274	40	newton	newton	PROPN
cuesj-1338	274	41	.	.	PUNCT
cuesj-1338	275	1	molecular	molecular	ADJ
cuesj-1338	275	2	profiling	profiling	NOUN
cuesj-1338	275	3	reveals	reveal	VERB
cuesj-1338	275	4	biologically	biologically	ADV
cuesj-1338	275	5	discrete	discrete	ADJ
cuesj-1338	275	6	subsets	subset	NOUN
cuesj-1338	275	7	and	and	CCONJ
cuesj-1338	275	8	pathways	pathway	NOUN
cuesj-1338	275	9	of	of	ADP
cuesj-1338	275	10	progression	progression	NOUN
cuesj-1338	275	11	in	in	ADP
cuesj-1338	275	12	diffuse	diffuse	NOUN
cuesj-1338	275	13	glioma	glioma	NOUN
cuesj-1338	275	14	.	.	PUNCT
cuesj-1338	276	1	cell	cell	NOUN
cuesj-1338	276	2	,	,	PUNCT
cuesj-1338	276	3	vol	vol	NOUN
cuesj-1338	276	4	.	.	NOUN
cuesj-1338	276	5	164	164	NUM
cuesj-1338	276	6	,	,	PUNCT
cuesj-1338	276	7	no	no	INTJ
cuesj-1338	276	8	.	.	NOUN
cuesj-1338	276	9	3	3	NUM
cuesj-1338	276	10	,	,	PUNCT
cuesj-1338	276	11	pp	pp	ADJ
cuesj-1338	276	12	.	.	PUNCT
cuesj-1338	277	1	550	550	NUM
cuesj-1338	277	2	-	-	SYM
cuesj-1338	277	3	563	563	NUM
cuesj-1338	277	4	,	,	PUNCT
cuesj-1338	277	5	2016	2016	NUM
cuesj-1338	277	6	.	.	PUNCT
cuesj-1338	278	1	19	19	NUM
cuesj-1338	278	2	.	.	PUNCT
cuesj-1338	278	3	c.	c.	NOUN
cuesj-1338	278	4	neftel	neftel	PROPN
cuesj-1338	278	5	,	,	PUNCT
cuesj-1338	278	6	j.	j.	PROPN
cuesj-1338	278	7	laffy	laffy	PROPN
cuesj-1338	278	8	,	,	PUNCT
cuesj-1338	278	9	m.	m.	NOUN
cuesj-1338	278	10	g.	g.	PROPN
cuesj-1338	278	11	filbin	filbin	PROPN
cuesj-1338	278	12	,	,	PUNCT
cuesj-1338	278	13	t.	t.	PROPN
cuesj-1338	278	14	hara	hara	PROPN
cuesj-1338	278	15	,	,	PUNCT
cuesj-1338	278	16	m.	m.	PROPN
cuesj-1338	278	17	e.	e.	PROPN
cuesj-1338	278	18	shore	shore	PROPN
cuesj-1338	278	19	,	,	PUNCT
cuesj-1338	278	20	g.	g.	PROPN
cuesj-1338	278	21	j.	j.	PROPN
cuesj-1338	278	22	rahme	rahme	PROPN
cuesj-1338	278	23	,	,	PUNCT
cuesj-1338	278	24	a.	a.	PROPN
cuesj-1338	278	25	r.	r.	PROPN
cuesj-1338	278	26	richman	richman	PROPN
cuesj-1338	278	27	,	,	PUNCT
cuesj-1338	278	28	m.	m.	PROPN
cuesj-1338	278	29	e.	e.	PROPN
cuesj-1338	278	30	shoreet	shoreet	PROPN
cuesj-1338	278	31	and	and	CCONJ
cuesj-1338	278	32	g.	g.	PROPN
cuesj-1338	278	33	j.	j.	PROPN
cuesj-1338	278	34	rahmeal	rahmeal	PROPN
cuesj-1338	278	35	.	.	PUNCT
cuesj-1338	279	1	an	an	DET
cuesj-1338	279	2	integrative	integrative	ADJ
cuesj-1338	279	3	model	model	NOUN
cuesj-1338	279	4	of	of	ADP
cuesj-1338	279	5	cellular	cellular	ADJ
cuesj-1338	279	6	states	state	NOUN
cuesj-1338	279	7	,	,	PUNCT
cuesj-1338	279	8	plasticity	plasticity	NOUN
cuesj-1338	279	9	,	,	PUNCT
cuesj-1338	279	10	and	and	CCONJ
cuesj-1338	279	11	genetics	genetic	NOUN
cuesj-1338	279	12	for	for	ADP
cuesj-1338	279	13	glioblastoma	glioblastoma	NOUN
cuesj-1338	279	14	.	.	PUNCT
cuesj-1338	280	1	cell	cell	NOUN
cuesj-1338	280	2	,	,	PUNCT
cuesj-1338	280	3	vol	vol	NOUN
cuesj-1338	280	4	.	.	PROPN
cuesj-1338	280	5	178	178	NUM
cuesj-1338	280	6	,	,	PUNCT
cuesj-1338	280	7	no	no	INTJ
cuesj-1338	280	8	.	.	NOUN
cuesj-1338	280	9	4	4	NUM
cuesj-1338	280	10	,	,	PUNCT
cuesj-1338	280	11	pp	pp	ADJ
cuesj-1338	280	12	.	.	PUNCT
cuesj-1338	281	1	835	835	NUM
cuesj-1338	281	2	-	-	PUNCT
cuesj-1338	281	3	849.e21	849.e21	NUM
cuesj-1338	281	4	,	,	PUNCT
cuesj-1338	281	5	2019	2019	NUM
cuesj-1338	281	6	.	.	PUNCT
cuesj-1338	282	1	20	20	NUM
cuesj-1338	282	2	.	.	PUNCT
cuesj-1338	282	3	y.	y.	PROPN
cuesj-1338	282	4	zhang	zhang	PROPN
cuesj-1338	282	5	,	,	PUNCT
cuesj-1338	282	6	p.	p.	PROPN
cuesj-1338	282	7	k.	k.	PROPN
cuesj-1338	283	1	s.	s.	PROPN
cuesj-1338	283	2	ng	ng	PROPN
cuesj-1338	283	3	,	,	PUNCT
cuesj-1338	283	4	m.	m.	PROPN
cuesj-1338	283	5	kucherlapati	kucherlapati	PROPN
cuesj-1338	283	6	,	,	PUNCT
cuesj-1338	283	7	f.	f.	PROPN
cuesj-1338	283	8	chen	chen	PROPN
cuesj-1338	283	9	,	,	PUNCT
cuesj-1338	283	10	t.	t.	PROPN
cuesj-1338	283	11	liu	liu	PROPN
cuesj-1338	283	12	,	,	PUNCT
cuesj-1338	283	13	y.	y.	PROPN
cuesj-1338	283	14	h.	h.	PROPN
cuesj-1338	283	15	tsang	tsang	PROPN
cuesj-1338	283	16	,	,	PUNCT
cuesj-1338	283	17	g.	g.	PROPN
cuesj-1338	283	18	de	de	PROPN
cuesj-1338	283	19	velasco	velasco	PROPN
cuesj-1338	283	20	,	,	PUNCT
cuesj-1338	283	21	k.	k.	PROPN
cuesj-1338	283	22	j.	j.	PROPN
cuesj-1338	283	23	jeong	jeong	PROPN
cuesj-1338	283	24	and	and	CCONJ
cuesj-1338	283	25	r.	r.	PROPN
cuesj-1338	283	26	akbani	akbani	PROPN
cuesj-1338	283	27	.	.	PUNCT
cuesj-1338	284	1	a	a	DET
cuesj-1338	284	2	pan	pan	ADJ
cuesj-1338	284	3	-	-	ADJ
cuesj-1338	284	4	cancer	cancer	ADJ
cuesj-1338	284	5	proteogenomic	proteogenomic	ADJ
cuesj-1338	284	6	atlas	atlas	PROPN
cuesj-1338	284	7	of	of	ADP
cuesj-1338	284	8	pi3k	pi3k	PROPN
cuesj-1338	284	9	/	/	SYM
cuesj-1338	284	10	akt	akt	PROPN
cuesj-1338	284	11	/	/	SYM
cuesj-1338	284	12	mtor	mtor	PROPN
cuesj-1338	284	13	pathway	pathway	NOUN
cuesj-1338	284	14	alterations	alteration	NOUN
cuesj-1338	284	15	.	.	PUNCT
cuesj-1338	285	1	cancer	cancer	NOUN
cuesj-1338	285	2	cell	cell	NOUN
cuesj-1338	285	3	,	,	PUNCT
cuesj-1338	285	4	vol	vol	NOUN
cuesj-1338	285	5	.	.	PROPN
cuesj-1338	285	6	31	31	NUM
cuesj-1338	285	7	,	,	PUNCT
cuesj-1338	285	8	no	no	INTJ
cuesj-1338	285	9	.	.	NOUN
cuesj-1338	285	10	6	6	NUM
cuesj-1338	285	11	,	,	PUNCT
cuesj-1338	285	12	pp	pp	ADJ
cuesj-1338	285	13	.	.	PUNCT
cuesj-1338	286	1	820	820	NUM
cuesj-1338	286	2	-	-	PUNCT
cuesj-1338	286	3	832.e3	832.e3	NUM
cuesj-1338	286	4	,	,	PUNCT
cuesj-1338	286	5	2017	2017	NUM
cuesj-1338	286	6	.	.	PUNCT
cuesj-1338	287	1	mahmood	mahmood	PROPN
cuesj-1338	287	2	and	and	CCONJ
cuesj-1338	287	3	kadir	kadir	PROPN
cuesj-1338	287	4	:	:	PUNCT
cuesj-1338	287	5	elastic	elastic	ADJ
cuesj-1338	287	6	net	net	NOUN
cuesj-1338	287	7	for	for	ADP
cuesj-1338	287	8	brain	brain	NOUN
cuesj-1338	287	9	cancer	cancer	NOUN
cuesj-1338	287	10	genetics	genetic	NOUN
cuesj-1338	287	11	21	21	NUM
cuesj-1338	287	12	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	287	13	cuesj	cuesj	NOUN
cuesj-1338	287	14	2025	2025	NUM
cuesj-1338	287	15	,	,	PUNCT
cuesj-1338	287	16	9	9	NUM
cuesj-1338	287	17	(	(	PUNCT
cuesj-1338	287	18	1	1	NUM
cuesj-1338	287	19	):	):	PUNCT
cuesj-1338	287	20	14	14	NUM
cuesj-1338	287	21	-	-	SYM
cuesj-1338	287	22	23	23	NUM
cuesj-1338	287	23	21	21	NUM
cuesj-1338	287	24	.	.	PUNCT
cuesj-1338	288	1	g.	g.	PROPN
cuesj-1338	288	2	james	james	PROPN
cuesj-1338	288	3	,	,	PUNCT
cuesj-1338	288	4	d.	d.	PROPN
cuesj-1338	288	5	witten	witten	PROPN
cuesj-1338	288	6	,	,	PUNCT
cuesj-1338	288	7	t.	t.	PROPN
cuesj-1338	288	8	hastie	hastie	PROPN
cuesj-1338	288	9	and	and	CCONJ
cuesj-1338	288	10	r.	r.	PROPN
cuesj-1338	288	11	tibshirani	tibshirani	PROPN
cuesj-1338	288	12	.	.	PUNCT
cuesj-1338	289	1	an	an	DET
cuesj-1338	289	2	introduction	introduction	NOUN
cuesj-1338	289	3	to	to	ADP
cuesj-1338	289	4	statistical	statistical	ADJ
cuesj-1338	289	5	learning	learning	NOUN
cuesj-1338	289	6	.	.	PUNCT
cuesj-1338	290	1	springer	springer	PROPN
cuesj-1338	290	2	,	,	PUNCT
cuesj-1338	290	3	germany	germany	PROPN
cuesj-1338	290	4	,	,	PUNCT
cuesj-1338	290	5	2021	2021	NUM
cuesj-1338	290	6	.	.	PUNCT
cuesj-1338	291	1	22	22	NUM
cuesj-1338	291	2	.	.	PUNCT
cuesj-1338	291	3	r.	r.	PROPN
cuesj-1338	291	4	tibshirani	tibshirani	PROPN
cuesj-1338	291	5	,	,	PUNCT
cuesj-1338	291	6	m.	m.	NOUN
cuesj-1338	291	7	saunders	saunders	PROPN
cuesj-1338	291	8	,	,	PUNCT
cuesj-1338	291	9	s.	s.	PROPN
cuesj-1338	291	10	rosset	rosset	PROPN
cuesj-1338	291	11	,	,	PUNCT
cuesj-1338	291	12	j.	j.	PROPN
cuesj-1338	291	13	zhu	zhu	PROPN
cuesj-1338	291	14	and	and	CCONJ
cuesj-1338	291	15	k.	k.	PROPN
cuesj-1338	291	16	knight	knight	PROPN
cuesj-1338	291	17	.	.	PUNCT
cuesj-1338	292	1	sparsity	sparsity	NOUN
cuesj-1338	292	2	and	and	CCONJ
cuesj-1338	292	3	smoothness	smoothness	NOUN
cuesj-1338	292	4	via	via	ADP
cuesj-1338	292	5	the	the	DET
cuesj-1338	292	6	fused	fuse	VERB
cuesj-1338	292	7	lasso	lasso	NOUN
cuesj-1338	292	8	.	.	PUNCT
cuesj-1338	293	1	journal	journal	NOUN
cuesj-1338	293	2	of	of	ADP
cuesj-1338	293	3	the	the	DET
cuesj-1338	293	4	royal	royal	ADJ
cuesj-1338	293	5	statistical	statistical	ADJ
cuesj-1338	293	6	society	society	NOUN
cuesj-1338	293	7	:	:	PUNCT
cuesj-1338	293	8	series	series	PROPN
cuesj-1338	293	9	b	b	PROPN
cuesj-1338	293	10	(	(	PUNCT
cuesj-1338	293	11	statistical	statistical	ADJ
cuesj-1338	293	12	methodology	methodology	NOUN
cuesj-1338	293	13	)	)	PUNCT
cuesj-1338	293	14	,	,	PUNCT
cuesj-1338	293	15	vol	vol	NOUN
cuesj-1338	293	16	.	.	PROPN
cuesj-1338	293	17	67	67	NUM
cuesj-1338	293	18	,	,	PUNCT
cuesj-1338	293	19	no	no	INTJ
cuesj-1338	293	20	.	.	NOUN
cuesj-1338	293	21	1	1	NUM
cuesj-1338	293	22	,	,	PUNCT
cuesj-1338	293	23	pp	pp	ADJ
cuesj-1338	293	24	.	.	PUNCT
cuesj-1338	294	1	91	91	NUM
cuesj-1338	294	2	-	-	SYM
cuesj-1338	294	3	108	108	NUM
cuesj-1338	294	4	,	,	PUNCT
cuesj-1338	294	5	2005	2005	NUM
cuesj-1338	294	6	.	.	PUNCT
cuesj-1338	295	1	23	23	NUM
cuesj-1338	295	2	.	.	PUNCT
cuesj-1338	296	1	j.	j.	PROPN
cuesj-1338	296	2	a.	a.	PROPN
cuesj-1338	296	3	m.	m.	PROPN
cuesj-1338	296	4	pérez	pérez	NOUN
cuesj-1338	296	5	and	and	CCONJ
cuesj-1338	296	6	p.	p.	NOUN
cuesj-1338	296	7	s.	s.	PROPN
cuesj-1338	297	1	p.	p.	PROPN
cuesj-1338	297	2	martín	martín	PROPN
cuesj-1338	297	3	.	.	PUNCT
cuesj-1338	298	1	regresión	regresión	PROPN
cuesj-1338	298	2	logística	logística	PROPN
cuesj-1338	298	3	.	.	PUNCT
cuesj-1338	299	1	medicina	medicina	PROPN
cuesj-1338	299	2	de	de	PROPN
cuesj-1338	299	3	familia	familia	PROPN
cuesj-1338	299	4	semergen	semergen	PROPN
cuesj-1338	299	5	,	,	PUNCT
cuesj-1338	299	6	vol	vol	NOUN
cuesj-1338	299	7	.	.	PROPN
cuesj-1338	300	1	50	50	NUM
cuesj-1338	300	2	,	,	PUNCT
cuesj-1338	300	3	no	no	INTJ
cuesj-1338	300	4	.	.	NOUN
cuesj-1338	300	5	1	1	NUM
cuesj-1338	300	6	,	,	PUNCT
cuesj-1338	300	7	p.	p.	NOUN
cuesj-1338	300	8	102086	102086	NUM
cuesj-1338	300	9	,	,	PUNCT
cuesj-1338	300	10	2023	2023	NUM
cuesj-1338	300	11	.	.	PUNCT
cuesj-1338	301	1	24	24	NUM
cuesj-1338	301	2	.	.	PUNCT
cuesj-1338	301	3	n.	n.	PROPN
cuesj-1338	301	4	h.	h.	PROPN
cuesj-1338	301	5	mahmood	mahmood	PROPN
cuesj-1338	301	6	,	,	PUNCT
cuesj-1338	301	7	s.	s.	PROPN
cuesj-1338	301	8	h.	h.	PROPN
cuesj-1338	301	9	murad	murad	PROPN
cuesj-1338	301	10	and	and	CCONJ
cuesj-1338	301	11	k.	k.	PROPN
cuesj-1338	301	12	k.	k.	PROPN
cuesj-1338	301	13	kakamad	kakamad	PROPN
cuesj-1338	301	14	.	.	PUNCT
cuesj-1338	302	1	ordinal	ordinal	ADJ
cuesj-1338	302	2	logistic	logistic	ADJ
cuesj-1338	302	3	regression	regression	NOUN
cuesj-1338	302	4	for	for	ADP
cuesj-1338	302	5	students	student	NOUN
cuesj-1338	302	6	academic	academic	ADJ
cuesj-1338	302	7	performance	performance	NOUN
cuesj-1338	302	8	in	in	ADP
cuesj-1338	302	9	kurdistan	kurdistan	ADJ
cuesj-1338	302	10	region	region	NOUN
cuesj-1338	302	11	of	of	ADP
cuesj-1338	302	12	iraq	iraq	PROPN
cuesj-1338	302	13	.	.	PUNCT
cuesj-1338	303	1	information	information	NOUN
cuesj-1338	303	2	management	management	NOUN
cuesj-1338	303	3	and	and	CCONJ
cuesj-1338	303	4	business	business	NOUN
cuesj-1338	303	5	review	review	PROPN
cuesj-1338	303	6	,	,	PUNCT
cuesj-1338	303	7	vol	vol	NOUN
cuesj-1338	303	8	.	.	PROPN
cuesj-1338	303	9	10	10	NUM
cuesj-1338	303	10	,	,	PUNCT
cuesj-1338	303	11	no	no	INTJ
cuesj-1338	303	12	.	.	NOUN
cuesj-1338	303	13	2	2	NUM
cuesj-1338	303	14	,	,	PUNCT
cuesj-1338	303	15	pp	pp	ADJ
cuesj-1338	303	16	.	.	PUNCT
cuesj-1338	304	1	17	17	NUM
cuesj-1338	304	2	-	-	SYM
cuesj-1338	304	3	22	22	NUM
cuesj-1338	304	4	,	,	PUNCT
cuesj-1338	304	5	2018	2018	NUM
cuesj-1338	304	6	.	.	PUNCT
cuesj-1338	305	1	25	25	NUM
cuesj-1338	305	2	.	.	PUNCT
cuesj-1338	306	1	j.	j.	PROPN
cuesj-1338	306	2	e.	e.	PROPN
cuesj-1338	306	3	yoo	yoo	PROPN
cuesj-1338	306	4	.	.	PROPN
cuesj-1338	306	5	penalized	penalize	VERB
cuesj-1338	306	6	regression	regression	NOUN
cuesj-1338	306	7	in	in	ADP
cuesj-1338	306	8	large	large	ADJ
cuesj-1338	306	9	-	-	PUNCT
cuesj-1338	306	10	scale	scale	NOUN
cuesj-1338	306	11	data	datum	NOUN
cuesj-1338	306	12	analysis	analysis	NOUN
cuesj-1338	306	13	.	.	PUNCT
cuesj-1338	307	1	springer	springer	NOUN
cuesj-1338	307	2	,	,	PUNCT
cuesj-1338	307	3	singapore	singapore	PROPN
cuesj-1338	307	4	,	,	PUNCT
cuesj-1338	307	5	pp	pp	ADJ
cuesj-1338	307	6	.	.	PUNCT
cuesj-1338	308	1	71	71	NUM
cuesj-1338	308	2	-	-	SYM
cuesj-1338	308	3	91	91	NUM
cuesj-1338	308	4	,	,	PUNCT
cuesj-1338	308	5	2024	2024	NUM
cuesj-1338	308	6	.	.	PUNCT
cuesj-1338	309	1	26	26	NUM
cuesj-1338	309	2	.	.	PUNCT
cuesj-1338	310	1	c.	c.	PROPN
cuesj-1338	310	2	wang	wang	PROPN
cuesj-1338	310	3	,	,	PUNCT
cuesj-1338	310	4	n.	n.	PROPN
cuesj-1338	310	5	li	li	PROPN
cuesj-1338	310	6	,	,	PUNCT
cuesj-1338	310	7	h.	h.	PROPN
cuesj-1338	310	8	diao	diao	PROPN
cuesj-1338	310	9	and	and	CCONJ
cuesj-1338	310	10	l.	l.	PROPN
cuesj-1338	310	11	lu	lu	PROPN
cuesj-1338	310	12	.	.	PUNCT
cuesj-1338	311	1	variable	variable	ADJ
cuesj-1338	311	2	selection	selection	NOUN
cuesj-1338	311	3	through	through	ADP
cuesj-1338	311	4	adaptive	adaptive	ADJ
cuesj-1338	311	5	elastic	elastic	ADJ
cuesj-1338	311	6	net	net	NOUN
cuesj-1338	311	7	for	for	ADP
cuesj-1338	311	8	proportional	proportional	ADJ
cuesj-1338	311	9	odds	odd	NOUN
cuesj-1338	311	10	model	model	NOUN
cuesj-1338	311	11	.	.	PUNCT
cuesj-1338	312	1	japanese	japanese	ADJ
cuesj-1338	312	2	journal	journal	PROPN
cuesj-1338	312	3	of	of	ADP
cuesj-1338	312	4	statistics	statistic	NOUN
cuesj-1338	312	5	and	and	CCONJ
cuesj-1338	312	6	data	datum	NOUN
cuesj-1338	312	7	science	science	NOUN
cuesj-1338	312	8	,	,	PUNCT
cuesj-1338	312	9	vol	vol	NOUN
cuesj-1338	312	10	.	.	PROPN
cuesj-1338	312	11	7	7	NUM
cuesj-1338	312	12	,	,	PUNCT
cuesj-1338	312	13	no	no	INTJ
cuesj-1338	312	14	.	.	NOUN
cuesj-1338	312	15	1	1	NUM
cuesj-1338	312	16	,	,	PUNCT
cuesj-1338	312	17	pp	pp	ADJ
cuesj-1338	312	18	.	.	PUNCT
cuesj-1338	313	1	203	203	NUM
cuesj-1338	313	2	-	-	SYM
cuesj-1338	313	3	221	221	NUM
cuesj-1338	313	4	,	,	PUNCT
cuesj-1338	313	5	2024	2024	NUM
cuesj-1338	313	6	.	.	PUNCT
cuesj-1338	314	1	27	27	NUM
cuesj-1338	314	2	.	.	PUNCT
cuesj-1338	314	3	l.	l.	PROPN
cuesj-1338	314	4	liu	liu	PROPN
cuesj-1338	314	5	,	,	PUNCT
cuesj-1338	314	6	j.	j.	PROPN
cuesj-1338	314	7	gao	gao	PROPN
cuesj-1338	314	8	,	,	PUNCT
cuesj-1338	314	9	g.	g.	PROPN
cuesj-1338	314	10	beasley	beasley	PROPN
cuesj-1338	314	11	and	and	CCONJ
cuesj-1338	314	12	s.	s.	PROPN
cuesj-1338	314	13	h.	h.	PROPN
cuesj-1338	314	14	jung	jung	PROPN
cuesj-1338	314	15	.	.	PUNCT
cuesj-1338	315	1	lasso	lasso	NOUN
cuesj-1338	315	2	and	and	CCONJ
cuesj-1338	315	3	elastic	elastic	ADJ
cuesj-1338	315	4	net	net	NOUN
cuesj-1338	315	5	tend	tend	VERB
cuesj-1338	315	6	to	to	PART
cuesj-1338	315	7	over	over	ADP
cuesj-1338	315	8	-	-	PUNCT
cuesj-1338	315	9	select	select	ADJ
cuesj-1338	315	10	features	feature	NOUN
cuesj-1338	315	11	.	.	PUNCT
cuesj-1338	316	1	mathematics	mathematic	NOUN
cuesj-1338	316	2	,	,	PUNCT
cuesj-1338	316	3	vol	vol	NOUN
cuesj-1338	316	4	.	.	PROPN
cuesj-1338	316	5	11	11	NUM
cuesj-1338	316	6	,	,	PUNCT
cuesj-1338	316	7	no	no	INTJ
cuesj-1338	316	8	.	.	NOUN
cuesj-1338	316	9	17	17	NUM
cuesj-1338	316	10	,	,	PUNCT
cuesj-1338	316	11	p.	p.	NOUN
cuesj-1338	316	12	3738	3738	NUM
cuesj-1338	316	13	,	,	PUNCT
cuesj-1338	316	14	2023	2023	NUM
cuesj-1338	316	15	.	.	PUNCT
cuesj-1338	317	1	28	28	NUM
cuesj-1338	317	2	.	.	PUNCT
cuesj-1338	318	1	j.	j.	PROPN
cuesj-1338	318	2	balayla	balayla	PROPN
cuesj-1338	318	3	.	.	PUNCT
cuesj-1338	319	1	prevalence	prevalence	NOUN
cuesj-1338	319	2	threshold	threshold	NOUN
cuesj-1338	319	3	and	and	CCONJ
cuesj-1338	319	4	bounds	bound	NOUN
cuesj-1338	319	5	in	in	ADP
cuesj-1338	319	6	the	the	DET
cuesj-1338	319	7	accuracy	accuracy	NOUN
cuesj-1338	319	8	of	of	ADP
cuesj-1338	319	9	binary	binary	ADJ
cuesj-1338	319	10	classification	classification	NOUN
cuesj-1338	319	11	systems	system	NOUN
cuesj-1338	319	12	.	.	PUNCT
cuesj-1338	320	1	cornell	cornell	PROPN
cuesj-1338	320	2	university	university	PROPN
cuesj-1338	320	3	,	,	PUNCT
cuesj-1338	320	4	new	new	PROPN
cuesj-1338	320	5	york	york	PROPN
cuesj-1338	320	6	,	,	PUNCT
cuesj-1338	320	7	2021	2021	NUM
cuesj-1338	320	8	.	.	PUNCT
cuesj-1338	321	1	29	29	NUM
cuesj-1338	321	2	.	.	PUNCT
cuesj-1338	322	1	p.	p.	NOUN
cuesj-1338	322	2	christen	christen	PROPN
cuesj-1338	322	3	,	,	PUNCT
cuesj-1338	322	4	d.	d.	PROPN
cuesj-1338	322	5	j.	j.	PROPN
cuesj-1338	322	6	hand	hand	PROPN
cuesj-1338	322	7	and	and	CCONJ
cuesj-1338	322	8	n.	n.	PROPN
cuesj-1338	322	9	kirielle	kirielle	PROPN
cuesj-1338	322	10	.	.	PUNCT
cuesj-1338	323	1	a	a	DET
cuesj-1338	323	2	review	review	NOUN
cuesj-1338	323	3	of	of	ADP
cuesj-1338	323	4	the	the	DET
cuesj-1338	323	5	f	f	NOUN
cuesj-1338	323	6	-	-	PUNCT
cuesj-1338	323	7	measure	measure	NOUN
cuesj-1338	323	8	:	:	PUNCT
cuesj-1338	323	9	its	its	PRON
cuesj-1338	323	10	history	history	NOUN
cuesj-1338	323	11	,	,	PUNCT
cuesj-1338	323	12	properties	property	NOUN
cuesj-1338	323	13	,	,	PUNCT
cuesj-1338	323	14	criticism	criticism	NOUN
cuesj-1338	323	15	,	,	PUNCT
cuesj-1338	323	16	and	and	CCONJ
cuesj-1338	323	17	alternatives	alternative	NOUN
cuesj-1338	323	18	.	.	PUNCT
cuesj-1338	324	1	acm	acm	PROPN
cuesj-1338	324	2	computing	computing	NOUN
cuesj-1338	324	3	surveys	survey	NOUN
cuesj-1338	324	4	,	,	PUNCT
cuesj-1338	324	5	vol	vol	NOUN
cuesj-1338	324	6	.	.	PROPN
cuesj-1338	325	1	56	56	NUM
cuesj-1338	325	2	,	,	PUNCT
cuesj-1338	325	3	no	no	INTJ
cuesj-1338	325	4	.	.	NOUN
cuesj-1338	325	5	3	3	NUM
cuesj-1338	325	6	,	,	PUNCT
cuesj-1338	325	7	pp	pp	ADJ
cuesj-1338	325	8	.	.	PUNCT
cuesj-1338	326	1	1	1	NUM
cuesj-1338	326	2	-	-	SYM
cuesj-1338	326	3	24	24	NUM
cuesj-1338	326	4	,	,	PUNCT
cuesj-1338	326	5	2023	2023	NUM
cuesj-1338	326	6	.	.	PUNCT
cuesj-1338	327	1	30	30	NUM
cuesj-1338	327	2	.	.	PUNCT
cuesj-1338	327	3	m.	m.	NOUN
cuesj-1338	327	4	weller	weller	PROPN
cuesj-1338	327	5	,	,	PUNCT
cuesj-1338	327	6	w.	w.	PROPN
cuesj-1338	327	7	wick	wick	PROPN
cuesj-1338	327	8	,	,	PUNCT
cuesj-1338	327	9	k.	k.	PROPN
cuesj-1338	327	10	aldape	aldape	PROPN
cuesj-1338	327	11	,	,	PUNCT
cuesj-1338	327	12	m.	m.	NOUN
cuesj-1338	327	13	brada	brada	PROPN
cuesj-1338	327	14	,	,	PUNCT
cuesj-1338	327	15	m.	m.	PROPN
cuesj-1338	327	16	berger	berger	PROPN
cuesj-1338	327	17	,	,	PUNCT
cuesj-1338	327	18	s.	s.	PROPN
cuesj-1338	327	19	m.	m.	PROPN
cuesj-1338	327	20	pfister	pfister	PROPN
cuesj-1338	327	21	,	,	PUNCT
cuesj-1338	327	22	r.	r.	PROPN
cuesj-1338	327	23	nishikawa	nishikawa	PROPN
cuesj-1338	327	24	,	,	PUNCT
cuesj-1338	327	25	m.	m.	NOUN
cuesj-1338	327	26	rosenthal	rosenthal	PROPN
cuesj-1338	327	27	,	,	PUNCT
cuesj-1338	327	28	p.	p.	PROPN
cuesj-1338	327	29	y.	y.	PROPN
cuesj-1338	327	30	wen	wen	PROPN
cuesj-1338	327	31	,	,	PUNCT
cuesj-1338	327	32	r.	r.	PROPN
cuesj-1338	327	33	stupp	stupp	PROPN
cuesj-1338	327	34	and	and	CCONJ
cuesj-1338	327	35	g.	g.	PROPN
cuesj-1338	327	36	reifenberger	reifenberger	NOUN
cuesj-1338	327	37	.	.	PUNCT
cuesj-1338	328	1	glioma	glioma	NOUN
cuesj-1338	328	2	.	.	PUNCT
cuesj-1338	329	1	nature	nature	NOUN
cuesj-1338	329	2	reviews	review	NOUN
cuesj-1338	329	3	disease	disease	NOUN
cuesj-1338	329	4	primers	primer	NOUN
cuesj-1338	329	5	,	,	PUNCT
cuesj-1338	329	6	vol	vol	NOUN
cuesj-1338	329	7	.	.	PROPN
cuesj-1338	330	1	1	1	NUM
cuesj-1338	330	2	,	,	PUNCT
cuesj-1338	330	3	no	no	INTJ
cuesj-1338	330	4	.	.	NOUN
cuesj-1338	330	5	1	1	NUM
cuesj-1338	330	6	,	,	PUNCT
cuesj-1338	330	7	p.	p.	NOUN
cuesj-1338	330	8	15017	15017	NUM
cuesj-1338	330	9	,	,	PUNCT
cuesj-1338	330	10	2015	2015	NUM
cuesj-1338	330	11	.	.	PUNCT
cuesj-1338	331	1	mahmood	mahmood	PROPN
cuesj-1338	331	2	and	and	CCONJ
cuesj-1338	331	3	kadir	kadir	PROPN
cuesj-1338	331	4	:	:	PUNCT
cuesj-1338	331	5	elastic	elastic	ADJ
cuesj-1338	331	6	net	net	NOUN
cuesj-1338	331	7	for	for	ADP
cuesj-1338	331	8	brain	brain	NOUN
cuesj-1338	331	9	cancer	cancer	NOUN
cuesj-1338	331	10	genetics	genetic	NOUN
cuesj-1338	331	11	22	22	NUM
cuesj-1338	331	12	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1338	331	13	cuesj	cuesj	NOUN
cuesj-1338	331	14	2025	2025	NUM
cuesj-1338	331	15	,	,	PUNCT
cuesj-1338	331	16	9	9	NUM
cuesj-1338	331	17	(	(	PUNCT
cuesj-1338	331	18	1	1	NUM
cuesj-1338	331	19	):	):	PUNCT
cuesj-1338	331	20	14	14	NUM
cuesj-1338	331	21	-	-	SYM
cuesj-1338	331	22	23	23	NUM
cuesj-1338	331	23	appendix	appendix	NOUN
cuesj-1338	331	24	:	:	PUNCT
cuesj-1338	331	25	selected	select	VERB
cuesj-1338	331	26	variables	variable	NOUN
cuesj-1338	331	27	(	(	PUNCT
cuesj-1338	331	28	gens	gen	NOUN
cuesj-1338	331	29	)	)	PUNCT
cuesj-1338	331	30	based	base	VERB
cuesj-1338	331	31	on	on	ADP
cuesj-1338	331	32	each	each	DET
cuesj-1338	331	33	brain	brain	NOUN
cuesj-1338	331	34	cancer	cancer	NOUN
cuesj-1338	331	35	subtypes	subtype	NOUN
cuesj-1338	331	36	ependymoma	ependymoma	NOUN
cuesj-1338	331	37	glioblastoma	glioblastoma	NOUN
cuesj-1338	331	38	medulloblastoma	medulloblastoma	NOUN
cuesj-1338	331	39	pilocytic_astrocytoma	pilocytic_astrocytoma	PROPN
cuesj-1338	331	40	(	(	PUNCT
cuesj-1338	331	41	intercept	intercept	NOUN
cuesj-1338	331	42	)	)	PUNCT
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cuesj-1338	331	44	(	(	PUNCT
cuesj-1338	331	45	intercept	intercept	NOUN
cuesj-1338	331	46	)	)	PUNCT
cuesj-1338	331	47	0.20406	0.20406	NUM
cuesj-1338	331	48	(	(	PUNCT
cuesj-1338	331	49	intercept	intercept	NOUN
cuesj-1338	331	50	)	)	PUNCT
cuesj-1338	331	51	−0.43924	−0.43924	NOUN
cuesj-1338	331	52	(	(	PUNCT
cuesj-1338	331	53	intercept	intercept	NOUN
cuesj-1338	331	54	)	)	PUNCT
cuesj-1338	331	55	−0.58789	−0.58789	NUM
cuesj-1338	331	56	x1552296_at	x1552296_at	PUNCT
cuesj-1338	331	57	0.02868	0.02868	NUM
cuesj-1338	331	58	x1438_at	x1438_at	NOUN
cuesj-1338	331	59	0.0189	0.0189	NUM
cuesj-1338	331	60	x1553157_at	x1553157_at	NOUN
cuesj-1338	331	61	0.04591	0.04591	NUM
cuesj-1338	331	62	x1552302_at	x1552302_at	NOUN
cuesj-1338	331	63	0.09649	0.09649	NUM
cuesj-1338	331	64	x1552970_s_at	x1552970_s_at	PROPN
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cuesj-1338	331	68	x1553268_at	x1553268_at	NOUN
cuesj-1338	331	69	0.04684	0.04684	NUM
cuesj-1338	331	70	x1552304_at	x1552304_at	PUNCT
cuesj-1338	331	71	−0.02193	−0.02193	X
cuesj-1338	331	72	x1553140_at	x1553140_at	VERB
cuesj-1338	331	73	0.07397	0.07397	NUM
cuesj-1338	331	74	x1553043_a_at	x1553043_a_at	PROPN
cuesj-1338	332	1	0.03575	0.03575	NUM
cuesj-1338	332	2	x1553611_s_at	x1553611_s_at	PROPN
cuesj-1338	332	3	0.19474	0.19474	NUM
cuesj-1338	332	4	x1554095_at	x1554095_at	NUM
cuesj-1338	332	5	−0.02047	−0.02047	NUM
cuesj-1338	332	6	x1553321_a_at	x1553321_a_at	NOUN
cuesj-1338	332	7	0.00582	0.00582	NUM
cuesj-1338	332	8	x1553276_at	x1553276_at	NOUN
cuesj-1338	332	9	0.10793	0.10793	NUM
cuesj-1338	332	10	x1554098_at	x1554098_at	NOUN
cuesj-1338	332	11	0.06079	0.06079	NUM
cuesj-1338	332	12	x1554170_a_at	x1554170_a_at	PROPN
cuesj-1338	332	13	−0.10002	−0.10002	X
cuesj-1338	332	14	x1553513_at	x1553513_at	NOUN
cuesj-1338	332	15	−0.06128	−0.06128	PROPN
cuesj-1338	332	16	x1553411_s_at	x1553411_s_at	PROPN
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cuesj-1338	332	18	x1555154_a_at	x1555154_a_at	PROPN
cuesj-1338	332	19	−0.01896	−0.01896	PROPN
cuesj-1338	332	20	x1554272_at	x1554272_at	PROPN
cuesj-1338	332	21	−0.01436	−0.01436	X
cuesj-1338	332	22	x1553622_a_at	x1553622_a_at	PROPN
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cuesj-1338	332	24	x1553441_at	x1553441_at	NOUN
cuesj-1338	332	25	0.00096	0.00096	NUM
cuesj-1338	332	26	x1556092_s_at	x1556092_s_at	NUM
cuesj-1338	332	27	0.0759	0.0759	NUM
cuesj-1338	332	28	x1555250_a_at	x1555250_a_at	PROPN
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cuesj-1338	332	30	x1553734_at	x1553734_at	NOUN
cuesj-1338	332	31	0.09392	0.09392	NUM
cuesj-1338	332	32	x1553983_at	x1553983_at	NOUN
cuesj-1338	332	33	0.00948	0.00948	NUM
cuesj-1338	332	34	x1556444_a_at	x1556444_a_at	PROPN
cuesj-1338	332	35	0.2522	0.2522	NUM
cuesj-1338	332	36	x1555403_a_at	x1555403_a_at	PROPN
cuesj-1338	332	37	0.00704	0.00704	NUM
cuesj-1338	332	38	x1554116_s_at	x1554116_s_at	PROPN
cuesj-1338	332	39	−0.06526	−0.06526	NUM
cuesj-1338	332	40	x1553984_s_at	x1553984_s_at	NOUN
cuesj-1338	332	41	0.07494	0.07494	NUM
cuesj-1338	332	42	x1556963_at	x1556963_at	NOUN
cuesj-1338	332	43	0.01203	0.01203	NUM
cuesj-1338	332	44	x1555836_at	x1555836_at	X
cuesj-1338	332	45	−0.02157	−0.02157	X
cuesj-1338	332	46	x1555007_s_at	x1555007_s_at	PROPN
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cuesj-1338	332	49	−0.04166	−0.04166	ADV
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cuesj-1338	333	13	0.06628	0.06628	NUM
cuesj-1338	333	14	x1555403_a_at	x1555403_a_at	PROPN
cuesj-1338	333	15	−0.00685	−0.00685	NUM
cuesj-1338	333	16	x1560108_at	x1560108_at	PROPN
cuesj-1338	334	1	0.05542	0.05542	NUM
cuesj-1338	334	2	x1556877_at	x1556877_at	NUM
cuesj-1338	335	1	0.26185	0.26185	NUM
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cuesj-1338	335	3	−0.07319	−0.07319	X
cuesj-1338	335	4	x1555925_at	x1555925_at	PRON
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cuesj-1338	335	9	0.06	0.06	NUM
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cuesj-1338	335	14	x1561341_at	x1561341_at	PROPN
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