id	sid	tid	token	lemma	pos
ajst-28824	1	1	academic	academic	ADJ
ajst-28824	1	2	journal	journal	NOUN
ajst-28824	1	3	of	of	ADP
ajst-28824	1	4	science	science	NOUN
ajst-28824	1	5	and	and	CCONJ
ajst-28824	1	6	technology	technology	NOUN
ajst-28824	1	7	issn	issn	NOUN
ajst-28824	1	8	:	:	PUNCT
ajst-28824	1	9	2771	2771	NUM
ajst-28824	1	10	-	-	SYM
ajst-28824	1	11	3032	3032	NUM
ajst-28824	1	12	|	|	NOUN
ajst-28824	1	13	vol	vol	NOUN
ajst-28824	1	14	.	.	PROPN
ajst-28824	1	15	13	13	NUM
ajst-28824	1	16	,	,	PUNCT
ajst-28824	1	17	no	no	INTJ
ajst-28824	1	18	.	.	NOUN
ajst-28824	1	19	3	3	NUM
ajst-28824	1	20	,	,	PUNCT
ajst-28824	1	21	2024	2024	NUM
ajst-28824	1	22	334	334	NUM
ajst-28824	1	23	a	a	DET
ajst-28824	1	24	novel	novel	ADJ
ajst-28824	1	25	feature	feature	NOUN
ajst-28824	1	26	fusion	fusion	NOUN
ajst-28824	1	27	method	method	NOUN
ajst-28824	1	28	based	base	VERB
ajst-28824	1	29	on	on	ADP
ajst-28824	1	30	rscu	rscu	NOUN
ajst-28824	1	31	and	and	CCONJ
ajst-28824	1	32	k‐	k‐	PROPN
ajst-28824	1	33	mer	mer	PROPN
ajst-28824	1	34	to	to	PART
ajst-28824	1	35	classify	classify	VERB
ajst-28824	1	36	the	the	DET
ajst-28824	1	37	sars‐cov‐2	sars‐cov‐2	PROPN
ajst-28824	1	38	fuqiang	fuqiang	PROPN
ajst-28824	1	39	ye1	ye1	PROPN
ajst-28824	1	40	,	,	PUNCT
ajst-28824	1	41	jianhua	jianhua	PROPN
ajst-28824	1	42	zhou2	zhou2	PROPN
ajst-28824	1	43	,	,	PUNCT
ajst-28824	1	44	hao	hao	PROPN
ajst-28824	1	45	zhang3	zhang3	PROPN
ajst-28824	1	46	,	,	PUNCT
ajst-28824	1	47	lili	lili	PROPN
ajst-28824	1	48	wang1	wang1	PROPN
ajst-28824	1	49	,	,	PUNCT
ajst-28824	1	50	*	*	PROPN
ajst-28824	2	1	1school	1school	NUM
ajst-28824	2	2	of	of	ADP
ajst-28824	2	3	physics	physics	NOUN
ajst-28824	2	4	and	and	CCONJ
ajst-28824	2	5	electrical	electrical	ADJ
ajst-28824	2	6	engineering	engineering	NOUN
ajst-28824	2	7	,	,	PUNCT
ajst-28824	2	8	northwest	northwest	PROPN
ajst-28824	2	9	normal	normal	ADJ
ajst-28824	2	10	university	university	NOUN
ajst-28824	2	11	,	,	PUNCT
ajst-28824	2	12	lanzhou	lanzhou	PROPN
ajst-28824	2	13	730070	730070	NUM
ajst-28824	2	14	,	,	PUNCT
ajst-28824	2	15	china	china	PROPN
ajst-28824	2	16	2biomedical	2biomedical	PROPN
ajst-28824	2	17	research	research	NOUN
ajst-28824	2	18	center	center	NOUN
ajst-28824	2	19	,	,	PUNCT
ajst-28824	2	20	northwest	northwest	PROPN
ajst-28824	2	21	minzu	minzu	PROPN
ajst-28824	2	22	university	university	PROPN
ajst-28824	2	23	,	,	PUNCT
ajst-28824	2	24	lanzhou730010	lanzhou730010	PROPN
ajst-28824	2	25	,	,	PUNCT
ajst-28824	2	26	china	china	PROPN
ajst-28824	2	27	3school	3school	NUM
ajst-28824	2	28	of	of	ADP
ajst-28824	2	29	life	life	NOUN
ajst-28824	2	30	science	science	NOUN
ajst-28824	2	31	and	and	CCONJ
ajst-28824	2	32	engineering	engineering	NOUN
ajst-28824	2	33	,	,	PUNCT
ajst-28824	2	34	northwest	northwest	PROPN
ajst-28824	2	35	minzu	minzu	PROPN
ajst-28824	2	36	university	university	PROPN
ajst-28824	2	37	lanzhou	lanzhou	PROPN
ajst-28824	2	38	,	,	PUNCT
ajst-28824	2	39	730010	730010	NUM
ajst-28824	2	40	,	,	PUNCT
ajst-28824	2	41	china	china	PROPN
ajst-28824	2	42	*	*	PUNCT
ajst-28824	2	43	corresponding	correspond	VERB
ajst-28824	2	44	author	author	NOUN
ajst-28824	2	45	:	:	PUNCT
ajst-28824	2	46	lili	lili	PROPN
ajst-28824	2	47	wang	wang	PROPN
ajst-28824	2	48	(	(	PUNCT
ajst-28824	2	49	wanglili20021984@126.com	wanglili20021984@126.com	X
ajst-28824	2	50	)	)	PUNCT
ajst-28824	2	51	abstract	abstract	NOUN
ajst-28824	2	52	:	:	PUNCT
ajst-28824	2	53	the	the	DET
ajst-28824	2	54	sars	sar	NOUN
ajst-28824	2	55	-	-	PUNCT
ajst-28824	2	56	cov-2	cov-2	PART
ajst-28824	2	57	virus	virus	NOUN
ajst-28824	2	58	exhibits	exhibit	VERB
ajst-28824	2	59	a	a	DET
ajst-28824	2	60	high	high	ADJ
ajst-28824	2	61	mutation	mutation	NOUN
ajst-28824	2	62	rate	rate	NOUN
ajst-28824	2	63	,	,	PUNCT
ajst-28824	2	64	which	which	PRON
ajst-28824	2	65	makes	make	VERB
ajst-28824	2	66	the	the	DET
ajst-28824	2	67	prediction	prediction	NOUN
ajst-28824	2	68	and	and	CCONJ
ajst-28824	2	69	classification	classification	NOUN
ajst-28824	2	70	of	of	ADP
ajst-28824	2	71	its	its	PRON
ajst-28824	2	72	genetic	genetic	ADJ
ajst-28824	2	73	evolution	evolution	NOUN
ajst-28824	2	74	and	and	CCONJ
ajst-28824	2	75	variation	variation	NOUN
ajst-28824	2	76	trends	trend	NOUN
ajst-28824	2	77	highly	highly	ADV
ajst-28824	2	78	significant	significant	ADJ
ajst-28824	2	79	.	.	PUNCT
ajst-28824	3	1	accurate	accurate	ADJ
ajst-28824	3	2	classification	classification	NOUN
ajst-28824	3	3	methods	method	NOUN
ajst-28824	3	4	not	not	PART
ajst-28824	3	5	only	only	ADV
ajst-28824	3	6	contribute	contribute	VERB
ajst-28824	3	7	to	to	ADP
ajst-28824	3	8	epidemiological	epidemiological	ADJ
ajst-28824	3	9	studies	study	NOUN
ajst-28824	3	10	of	of	ADP
ajst-28824	3	11	the	the	DET
ajst-28824	3	12	virus	virus	NOUN
ajst-28824	3	13	,	,	PUNCT
ajst-28824	3	14	but	but	CCONJ
ajst-28824	3	15	also	also	ADV
ajst-28824	3	16	play	play	VERB
ajst-28824	3	17	a	a	DET
ajst-28824	3	18	crucial	crucial	ADJ
ajst-28824	3	19	role	role	NOUN
ajst-28824	3	20	in	in	ADP
ajst-28824	3	21	vaccine	vaccine	NOUN
ajst-28824	3	22	development	development	NOUN
ajst-28824	3	23	and	and	CCONJ
ajst-28824	3	24	antiviral	antiviral	ADJ
ajst-28824	3	25	drug	drug	NOUN
ajst-28824	3	26	discovery	discovery	NOUN
ajst-28824	3	27	.	.	PUNCT
ajst-28824	4	1	this	this	DET
ajst-28824	4	2	study	study	NOUN
ajst-28824	4	3	aims	aim	VERB
ajst-28824	4	4	to	to	PART
ajst-28824	4	5	systematically	systematically	ADV
ajst-28824	4	6	evaluate	evaluate	VERB
ajst-28824	4	7	the	the	DET
ajst-28824	4	8	accuracy	accuracy	NOUN
ajst-28824	4	9	and	and	CCONJ
ajst-28824	4	10	generalization	generalization	NOUN
ajst-28824	4	11	capability	capability	NOUN
ajst-28824	4	12	of	of	ADP
ajst-28824	4	13	the	the	DET
ajst-28824	4	14	rscu	rscu	NOUN
ajst-28824	4	15	(	(	PUNCT
ajst-28824	4	16	relative	relative	ADJ
ajst-28824	4	17	synonymous	synonymous	ADJ
ajst-28824	4	18	codon	codon	NOUN
ajst-28824	4	19	usage	usage	NOUN
ajst-28824	4	20	)	)	PUNCT
ajst-28824	4	21	and	and	CCONJ
ajst-28824	4	22	k	k	PROPN
ajst-28824	4	23	-	-	PUNCT
ajst-28824	4	24	mer	mer	PROPN
ajst-28824	4	25	encoding	encoding	NOUN
ajst-28824	4	26	techniques	technique	NOUN
ajst-28824	4	27	in	in	ADP
ajst-28824	4	28	the	the	DET
ajst-28824	4	29	classification	classification	NOUN
ajst-28824	4	30	of	of	ADP
ajst-28824	4	31	the	the	DET
ajst-28824	4	32	sars	sar	NOUN
ajst-28824	4	33	-	-	PUNCT
ajst-28824	4	34	cov-2	cov-2	NOUN
ajst-28824	4	35	genome	genome	NOUN
ajst-28824	4	36	.	.	PUNCT
ajst-28824	5	1	we	we	PRON
ajst-28824	5	2	extracted	extract	VERB
ajst-28824	5	3	genomic	genomic	ADJ
ajst-28824	5	4	data	datum	NOUN
ajst-28824	5	5	from	from	ADP
ajst-28824	5	6	two	two	NUM
ajst-28824	5	7	major	major	ADJ
ajst-28824	5	8	sars	sar	NOUN
ajst-28824	5	9	-	-	PUNCT
ajst-28824	5	10	cov-2	cov-2	NOUN
ajst-28824	5	11	variants	variant	NOUN
ajst-28824	5	12	,	,	PUNCT
ajst-28824	5	13	alpha	alpha	NOUN
ajst-28824	5	14	and	and	CCONJ
ajst-28824	5	15	beta	beta	NOUN
ajst-28824	5	16	,	,	PUNCT
ajst-28824	5	17	and	and	CCONJ
ajst-28824	5	18	applied	apply	VERB
ajst-28824	5	19	the	the	DET
ajst-28824	5	20	support	support	NOUN
ajst-28824	5	21	vector	vector	NOUN
ajst-28824	5	22	machine	machine	NOUN
ajst-28824	5	23	(	(	PUNCT
ajst-28824	5	24	svm	svm	ADJ
ajst-28824	5	25	)	)	PUNCT
ajst-28824	5	26	classification	classification	NOUN
ajst-28824	5	27	algorithm	algorithm	NOUN
ajst-28824	5	28	to	to	PART
ajst-28824	5	29	train	train	VERB
ajst-28824	5	30	the	the	DET
ajst-28824	5	31	data	datum	NOUN
ajst-28824	5	32	and	and	CCONJ
ajst-28824	5	33	assess	assess	VERB
ajst-28824	5	34	the	the	DET
ajst-28824	5	35	impact	impact	NOUN
ajst-28824	5	36	of	of	ADP
ajst-28824	5	37	different	different	ADJ
ajst-28824	5	38	feature	feature	NOUN
ajst-28824	5	39	encoding	encode	VERB
ajst-28824	5	40	methods	method	NOUN
ajst-28824	5	41	on	on	ADP
ajst-28824	5	42	classification	classification	NOUN
ajst-28824	5	43	performance	performance	NOUN
ajst-28824	5	44	.	.	PUNCT
ajst-28824	6	1	furthermore	furthermore	ADV
ajst-28824	6	2	,	,	PUNCT
ajst-28824	6	3	we	we	PRON
ajst-28824	6	4	introduce	introduce	VERB
ajst-28824	6	5	a	a	DET
ajst-28824	6	6	novel	novel	ADJ
ajst-28824	6	7	multi	multi	ADJ
ajst-28824	6	8	-	-	ADJ
ajst-28824	6	9	feature	feature	ADJ
ajst-28824	6	10	fusion	fusion	NOUN
ajst-28824	6	11	method	method	NOUN
ajst-28824	6	12	,	,	PUNCT
ajst-28824	6	13	krscu	krscu	PROPN
ajst-28824	6	14	,	,	PUNCT
ajst-28824	6	15	which	which	PRON
ajst-28824	6	16	combines	combine	VERB
ajst-28824	6	17	the	the	DET
ajst-28824	6	18	sequence	sequence	NOUN
ajst-28824	6	19	position	position	NOUN
ajst-28824	6	20	information	information	NOUN
ajst-28824	6	21	from	from	ADP
ajst-28824	6	22	k	k	X
ajst-28824	6	23	-	-	PUNCT
ajst-28824	6	24	mer	mer	NOUN
ajst-28824	6	25	with	with	ADP
ajst-28824	6	26	the	the	DET
ajst-28824	6	27	synonymous	synonymous	ADJ
ajst-28824	6	28	codon	codon	NOUN
ajst-28824	6	29	compositions	composition	NOUN
ajst-28824	6	30	from	from	ADP
ajst-28824	6	31	rscu	rscu	NOUN
ajst-28824	6	32	.	.	PUNCT
ajst-28824	7	1	this	this	DET
ajst-28824	7	2	method	method	NOUN
ajst-28824	7	3	effectively	effectively	ADV
ajst-28824	7	4	captures	capture	VERB
ajst-28824	7	5	subtle	subtle	ADJ
ajst-28824	7	6	differences	difference	NOUN
ajst-28824	7	7	in	in	ADP
ajst-28824	7	8	genomic	genomic	ADJ
ajst-28824	7	9	data	datum	NOUN
ajst-28824	7	10	,	,	PUNCT
ajst-28824	7	11	significantly	significantly	ADV
ajst-28824	7	12	improving	improve	VERB
ajst-28824	7	13	both	both	CCONJ
ajst-28824	7	14	the	the	DET
ajst-28824	7	15	accuracy	accuracy	NOUN
ajst-28824	7	16	and	and	CCONJ
ajst-28824	7	17	generalization	generalization	NOUN
ajst-28824	7	18	capability	capability	NOUN
ajst-28824	7	19	of	of	ADP
ajst-28824	7	20	the	the	DET
ajst-28824	7	21	classification	classification	NOUN
ajst-28824	7	22	model	model	NOUN
ajst-28824	7	23	.	.	PUNCT
ajst-28824	8	1	experimental	experimental	ADJ
ajst-28824	8	2	results	result	NOUN
ajst-28824	8	3	demonstrate	demonstrate	VERB
ajst-28824	8	4	that	that	SCONJ
ajst-28824	8	5	the	the	DET
ajst-28824	8	6	krscu	krscu	PROPN
ajst-28824	8	7	method	method	NOUN
ajst-28824	8	8	outperforms	outperform	VERB
ajst-28824	8	9	traditional	traditional	ADJ
ajst-28824	8	10	single	single	ADJ
ajst-28824	8	11	-	-	PUNCT
ajst-28824	8	12	feature	feature	NOUN
ajst-28824	8	13	encoding	encoding	NOUN
ajst-28824	8	14	approaches	approach	NOUN
ajst-28824	8	15	in	in	ADP
ajst-28824	8	16	sars	sar	NOUN
ajst-28824	8	17	-	-	PUNCT
ajst-28824	8	18	cov-2	cov-2	NOUN
ajst-28824	8	19	subtype	subtype	NOUN
ajst-28824	8	20	classification	classification	NOUN
ajst-28824	8	21	tasks	task	NOUN
ajst-28824	8	22	.	.	PUNCT
ajst-28824	9	1	our	our	PRON
ajst-28824	9	2	research	research	NOUN
ajst-28824	9	3	offers	offer	VERB
ajst-28824	9	4	new	new	ADJ
ajst-28824	9	5	insights	insight	NOUN
ajst-28824	9	6	into	into	ADP
ajst-28824	9	7	genomic	genomic	ADJ
ajst-28824	9	8	data	datum	NOUN
ajst-28824	9	9	analysis	analysis	NOUN
ajst-28824	9	10	,	,	PUNCT
ajst-28824	9	11	with	with	ADP
ajst-28824	9	12	potential	potential	ADJ
ajst-28824	9	13	applications	application	NOUN
ajst-28824	9	14	in	in	ADP
ajst-28824	9	15	viral	viral	ADJ
ajst-28824	9	16	mutation	mutation	NOUN
ajst-28824	9	17	monitoring	monitoring	NOUN
ajst-28824	9	18	.	.	PUNCT
ajst-28824	10	1	keywords	keyword	NOUN
ajst-28824	10	2	:	:	PUNCT
ajst-28824	10	3	sars	sar	NOUN
ajst-28824	10	4	-	-	PUNCT
ajst-28824	10	5	cov-2	cov-2	NOUN
ajst-28824	10	6	,	,	PUNCT
ajst-28824	10	7	support	support	NOUN
ajst-28824	10	8	vector	vector	NOUN
ajst-28824	10	9	machine	machine	NOUN
ajst-28824	10	10	,	,	PUNCT
ajst-28824	10	11	k	k	PROPN
ajst-28824	10	12	-	-	PUNCT
ajst-28824	10	13	mer	mer	ADJ
ajst-28824	10	14	,	,	PUNCT
ajst-28824	10	15	relative	relative	ADJ
ajst-28824	10	16	synonymous	synonymous	ADJ
ajst-28824	10	17	codon	codon	NOUN
ajst-28824	10	18	usage	usage	NOUN
ajst-28824	10	19	.	.	PUNCT
ajst-28824	11	1	1	1	X
ajst-28824	11	2	.	.	X
ajst-28824	11	3	introduction	introduction	NOUN
ajst-28824	11	4	since	since	SCONJ
ajst-28824	11	5	the	the	DET
ajst-28824	11	6	outbreak	outbreak	NOUN
ajst-28824	11	7	of	of	ADP
ajst-28824	11	8	the	the	DET
ajst-28824	11	9	sars	sar	NOUN
ajst-28824	11	10	-	-	PUNCT
ajst-28824	11	11	cov-2	cov-2	NOUN
ajst-28824	11	12	virus	virus	NOUN
ajst-28824	11	13	in	in	ADP
ajst-28824	11	14	2019	2019	NUM
ajst-28824	11	15	,	,	PUNCT
ajst-28824	11	16	it	it	PRON
ajst-28824	11	17	has	have	AUX
ajst-28824	11	18	rapidly	rapidly	ADV
ajst-28824	11	19	spread	spread	VERB
ajst-28824	11	20	globally	globally	ADV
ajst-28824	11	21	,	,	PUNCT
ajst-28824	11	22	presenting	present	VERB
ajst-28824	11	23	significant	significant	ADJ
ajst-28824	11	24	challenges	challenge	NOUN
ajst-28824	11	25	to	to	ADP
ajst-28824	11	26	public	public	ADJ
ajst-28824	11	27	health	health	NOUN
ajst-28824	11	28	,	,	PUNCT
ajst-28824	11	29	the	the	DET
ajst-28824	11	30	economy	economy	NOUN
ajst-28824	11	31	,	,	PUNCT
ajst-28824	11	32	and	and	CCONJ
ajst-28824	11	33	society	society	NOUN
ajst-28824	12	1	[	[	X
ajst-28824	12	2	1	1	NUM
ajst-28824	12	3	]	]	PUNCT
ajst-28824	12	4	.	.	PUNCT
ajst-28824	13	1	the	the	DET
ajst-28824	13	2	high	high	ADJ
ajst-28824	13	3	mutation	mutation	NOUN
ajst-28824	13	4	rate	rate	NOUN
ajst-28824	13	5	and	and	CCONJ
ajst-28824	13	6	rapid	rapid	ADJ
ajst-28824	13	7	transmission	transmission	NOUN
ajst-28824	13	8	of	of	ADP
ajst-28824	13	9	the	the	DET
ajst-28824	13	10	virus	virus	NOUN
ajst-28824	13	11	have	have	AUX
ajst-28824	13	12	made	make	VERB
ajst-28824	13	13	efficient	efficient	ADJ
ajst-28824	13	14	and	and	CCONJ
ajst-28824	13	15	accurate	accurate	ADJ
ajst-28824	13	16	identification	identification	NOUN
ajst-28824	13	17	and	and	CCONJ
ajst-28824	13	18	classification	classification	NOUN
ajst-28824	13	19	of	of	ADP
ajst-28824	13	20	the	the	DET
ajst-28824	13	21	virus	virus	NOUN
ajst-28824	13	22	particularly	particularly	ADV
ajst-28824	13	23	crucial	crucial	ADJ
ajst-28824	13	24	.	.	PUNCT
ajst-28824	14	1	precise	precise	ADJ
ajst-28824	14	2	classification	classification	NOUN
ajst-28824	14	3	of	of	ADP
ajst-28824	14	4	the	the	DET
ajst-28824	14	5	virus	virus	NOUN
ajst-28824	14	6	not	not	PART
ajst-28824	14	7	only	only	ADV
ajst-28824	14	8	aids	aid	NOUN
ajst-28824	14	9	in	in	ADP
ajst-28824	14	10	tracing	trace	VERB
ajst-28824	14	11	its	its	PRON
ajst-28824	14	12	origin	origin	NOUN
ajst-28824	14	13	,	,	PUNCT
ajst-28824	14	14	vaccine	vaccine	NOUN
ajst-28824	14	15	development	development	NOUN
ajst-28824	14	16	,	,	PUNCT
ajst-28824	14	17	and	and	CCONJ
ajst-28824	14	18	antiviral	antiviral	ADJ
ajst-28824	14	19	drug	drug	NOUN
ajst-28824	14	20	design	design	NOUN
ajst-28824	14	21	but	but	CCONJ
ajst-28824	14	22	also	also	ADV
ajst-28824	14	23	provides	provide	VERB
ajst-28824	14	24	a	a	DET
ajst-28824	14	25	scientific	scientific	ADJ
ajst-28824	14	26	basis	basis	NOUN
ajst-28824	14	27	for	for	ADP
ajst-28824	14	28	formulating	formulate	VERB
ajst-28824	14	29	global	global	ADJ
ajst-28824	14	30	prevention	prevention	NOUN
ajst-28824	14	31	and	and	CCONJ
ajst-28824	14	32	control	control	NOUN
ajst-28824	14	33	strategies	strategy	NOUN
ajst-28824	14	34	.	.	PUNCT
ajst-28824	15	1	with	with	ADP
ajst-28824	15	2	the	the	DET
ajst-28824	15	3	rapid	rapid	ADJ
ajst-28824	15	4	advancement	advancement	NOUN
ajst-28824	15	5	of	of	ADP
ajst-28824	15	6	bioinformatics	bioinformatics	NOUN
ajst-28824	15	7	technologies	technology	NOUN
ajst-28824	15	8	,	,	PUNCT
ajst-28824	15	9	the	the	DET
ajst-28824	15	10	task	task	NOUN
ajst-28824	15	11	of	of	ADP
ajst-28824	15	12	classifying	classify	VERB
ajst-28824	15	13	nucleic	nucleic	ADJ
ajst-28824	15	14	acid	acid	NOUN
ajst-28824	15	15	sequences	sequence	NOUN
ajst-28824	15	16	has	have	AUX
ajst-28824	15	17	become	become	VERB
ajst-28824	15	18	increasingly	increasingly	ADV
ajst-28824	15	19	important	important	ADJ
ajst-28824	15	20	in	in	ADP
ajst-28824	15	21	fields	field	NOUN
ajst-28824	15	22	such	such	ADJ
ajst-28824	15	23	as	as	ADP
ajst-28824	15	24	genomics	genomics	NOUN
ajst-28824	15	25	,	,	PUNCT
ajst-28824	15	26	systems	system	NOUN
ajst-28824	15	27	biology	biology	NOUN
ajst-28824	15	28	,	,	PUNCT
ajst-28824	15	29	and	and	CCONJ
ajst-28824	15	30	comparative	comparative	ADJ
ajst-28824	15	31	genomics	genomic	NOUN
ajst-28824	15	32	.	.	PUNCT
ajst-28824	16	1	to	to	PART
ajst-28824	16	2	efficiently	efficiently	ADV
ajst-28824	16	3	address	address	VERB
ajst-28824	16	4	this	this	DET
ajst-28824	16	5	challenge	challenge	NOUN
ajst-28824	16	6	,	,	PUNCT
ajst-28824	16	7	researchers	researcher	NOUN
ajst-28824	16	8	have	have	AUX
ajst-28824	16	9	explored	explore	VERB
ajst-28824	16	10	various	various	ADJ
ajst-28824	16	11	feature	feature	NOUN
ajst-28824	16	12	representation	representation	NOUN
ajst-28824	16	13	methods	method	NOUN
ajst-28824	16	14	to	to	PART
ajst-28824	16	15	extract	extract	VERB
ajst-28824	16	16	valuable	valuable	ADJ
ajst-28824	16	17	information	information	NOUN
ajst-28824	16	18	from	from	ADP
ajst-28824	16	19	nucleic	nucleic	ADJ
ajst-28824	16	20	acid	acid	NOUN
ajst-28824	16	21	sequences	sequence	NOUN
ajst-28824	16	22	,	,	PUNCT
ajst-28824	16	23	which	which	PRON
ajst-28824	16	24	is	be	AUX
ajst-28824	16	25	then	then	ADV
ajst-28824	16	26	applied	apply	VERB
ajst-28824	16	27	to	to	ADP
ajst-28824	16	28	classification	classification	NOUN
ajst-28824	16	29	tasks	task	NOUN
ajst-28824	16	30	using	use	VERB
ajst-28824	16	31	machine	machine	NOUN
ajst-28824	16	32	learning	learn	VERB
ajst-28824	16	33	algorithms	algorithm	NOUN
ajst-28824	16	34	[	[	X
ajst-28824	16	35	2	2	NUM
ajst-28824	16	36	]	]	PUNCT
ajst-28824	16	37	.	.	PUNCT
ajst-28824	17	1	these	these	DET
ajst-28824	17	2	methods	method	NOUN
ajst-28824	17	3	can	can	AUX
ajst-28824	17	4	reveal	reveal	VERB
ajst-28824	17	5	the	the	DET
ajst-28824	17	6	virus	virus	NOUN
ajst-28824	17	7	’s	’s	PART
ajst-28824	17	8	evolutionary	evolutionary	ADJ
ajst-28824	17	9	trajectory	trajectory	NOUN
ajst-28824	17	10	,	,	PUNCT
ajst-28824	17	11	mutation	mutation	NOUN
ajst-28824	17	12	patterns	pattern	NOUN
ajst-28824	17	13	,	,	PUNCT
ajst-28824	17	14	and	and	CCONJ
ajst-28824	17	15	transmission	transmission	NOUN
ajst-28824	17	16	characteristics	characteristic	NOUN
ajst-28824	17	17	,	,	PUNCT
ajst-28824	17	18	thus	thus	ADV
ajst-28824	17	19	supporting	support	VERB
ajst-28824	17	20	scientific	scientific	ADJ
ajst-28824	17	21	research	research	NOUN
ajst-28824	17	22	and	and	CCONJ
ajst-28824	17	23	public	public	ADJ
ajst-28824	17	24	health	health	NOUN
ajst-28824	17	25	decision	decision	NOUN
ajst-28824	17	26	-	-	PUNCT
ajst-28824	17	27	making	making	NOUN
ajst-28824	17	28	.	.	PUNCT
ajst-28824	18	1	in	in	ADP
ajst-28824	18	2	pursuit	pursuit	NOUN
ajst-28824	18	3	of	of	ADP
ajst-28824	18	4	accurate	accurate	ADJ
ajst-28824	18	5	and	and	CCONJ
ajst-28824	18	6	efficient	efficient	ADJ
ajst-28824	18	7	nucleic	nucleic	ADJ
ajst-28824	18	8	acid	acid	NOUN
ajst-28824	18	9	classification	classification	NOUN
ajst-28824	18	10	,	,	PUNCT
ajst-28824	18	11	researchers	researcher	NOUN
ajst-28824	18	12	continue	continue	VERB
ajst-28824	18	13	to	to	PART
ajst-28824	18	14	explore	explore	VERB
ajst-28824	18	15	and	and	CCONJ
ajst-28824	18	16	optimize	optimize	VERB
ajst-28824	18	17	new	new	ADJ
ajst-28824	18	18	encoding	encoding	NOUN
ajst-28824	18	19	methods	method	NOUN
ajst-28824	18	20	and	and	CCONJ
ajst-28824	18	21	machine	machine	NOUN
ajst-28824	18	22	learning	learn	VERB
ajst-28824	18	23	algorithms	algorithm	NOUN
ajst-28824	19	1	[	[	X
ajst-28824	19	2	3	3	NUM
ajst-28824	19	3	]	]	PUNCT
ajst-28824	19	4	.	.	PUNCT
ajst-28824	20	1	in	in	ADP
ajst-28824	20	2	nucleic	nucleic	ADJ
ajst-28824	20	3	acid	acid	NOUN
ajst-28824	20	4	sequence	sequence	NOUN
ajst-28824	20	5	analysis	analysis	NOUN
ajst-28824	20	6	,	,	PUNCT
ajst-28824	20	7	feature	feature	NOUN
ajst-28824	20	8	extraction	extraction	NOUN
ajst-28824	20	9	is	be	AUX
ajst-28824	20	10	a	a	DET
ajst-28824	20	11	fundamental	fundamental	ADJ
ajst-28824	20	12	and	and	CCONJ
ajst-28824	20	13	critical	critical	ADJ
ajst-28824	20	14	step	step	NOUN
ajst-28824	20	15	that	that	PRON
ajst-28824	20	16	directly	directly	ADV
ajst-28824	20	17	impacts	impact	VERB
ajst-28824	20	18	the	the	DET
ajst-28824	20	19	accuracy	accuracy	NOUN
ajst-28824	20	20	of	of	ADP
ajst-28824	20	21	classification	classification	NOUN
ajst-28824	20	22	results	result	NOUN
ajst-28824	20	23	.	.	PUNCT
ajst-28824	21	1	an	an	DET
ajst-28824	21	2	ideal	ideal	ADJ
ajst-28824	21	3	feature	feature	NOUN
ajst-28824	21	4	representation	representation	NOUN
ajst-28824	21	5	method	method	NOUN
ajst-28824	21	6	should	should	AUX
ajst-28824	21	7	be	be	AUX
ajst-28824	21	8	capable	capable	ADJ
ajst-28824	21	9	of	of	ADP
ajst-28824	21	10	fully	fully	ADV
ajst-28824	21	11	capturing	capture	VERB
ajst-28824	21	12	the	the	DET
ajst-28824	21	13	biological	biological	ADJ
ajst-28824	21	14	information	information	NOUN
ajst-28824	21	15	within	within	ADP
ajst-28824	21	16	the	the	DET
ajst-28824	21	17	sequence	sequence	NOUN
ajst-28824	21	18	to	to	PART
ajst-28824	21	19	enhance	enhance	VERB
ajst-28824	21	20	the	the	DET
ajst-28824	21	21	performance	performance	NOUN
ajst-28824	21	22	of	of	ADP
ajst-28824	21	23	machine	machine	NOUN
ajst-28824	21	24	learning	learning	NOUN
ajst-28824	21	25	models	model	NOUN
ajst-28824	21	26	in	in	ADP
ajst-28824	21	27	classification	classification	NOUN
ajst-28824	21	28	and	and	CCONJ
ajst-28824	21	29	prediction	prediction	NOUN
ajst-28824	21	30	tasks	task	NOUN
ajst-28824	21	31	.	.	PUNCT
ajst-28824	22	1	over	over	ADP
ajst-28824	22	2	the	the	DET
ajst-28824	22	3	past	past	ADJ
ajst-28824	22	4	few	few	ADJ
ajst-28824	22	5	decades	decade	NOUN
ajst-28824	22	6	,	,	PUNCT
ajst-28824	22	7	scholars	scholar	NOUN
ajst-28824	22	8	have	have	AUX
ajst-28824	22	9	proposed	propose	VERB
ajst-28824	22	10	various	various	ADJ
ajst-28824	22	11	encoding	encoding	NOUN
ajst-28824	22	12	schemes	scheme	NOUN
ajst-28824	22	13	to	to	PART
ajst-28824	22	14	achieve	achieve	VERB
ajst-28824	22	15	effective	effective	ADJ
ajst-28824	22	16	representation	representation	NOUN
ajst-28824	22	17	of	of	ADP
ajst-28824	22	18	nucleic	nucleic	ADJ
ajst-28824	22	19	acid	acid	NOUN
ajst-28824	22	20	sequences	sequence	NOUN
ajst-28824	22	21	.	.	PUNCT
ajst-28824	23	1	among	among	ADP
ajst-28824	23	2	these	these	DET
ajst-28824	23	3	feature	feature	NOUN
ajst-28824	23	4	representation	representation	NOUN
ajst-28824	23	5	methods	method	NOUN
ajst-28824	23	6	,	,	PUNCT
ajst-28824	23	7	rscu	rscu	NOUN
ajst-28824	24	1	[	[	PUNCT
ajst-28824	24	2	4	4	NUM
ajst-28824	24	3	-	-	SYM
ajst-28824	24	4	5	5	NUM
ajst-28824	24	5	]	]	PUNCT
ajst-28824	24	6	and	and	CCONJ
ajst-28824	24	7	k	k	PROPN
ajst-28824	24	8	-	-	PUNCT
ajst-28824	24	9	mer	mer	X
ajst-28824	24	10	[	[	X
ajst-28824	24	11	6	6	NUM
ajst-28824	24	12	-	-	SYM
ajst-28824	24	13	7	7	NUM
ajst-28824	24	14	]	]	PUNCT
ajst-28824	24	15	are	be	AUX
ajst-28824	24	16	widely	widely	ADV
ajst-28824	24	17	used	use	VERB
ajst-28824	24	18	encoding	encode	VERB
ajst-28824	24	19	techniques	technique	NOUN
ajst-28824	24	20	.	.	PUNCT
ajst-28824	25	1	rscu	rscu	NOUN
ajst-28824	25	2	is	be	AUX
ajst-28824	25	3	an	an	DET
ajst-28824	25	4	encoding	encoding	NOUN
ajst-28824	25	5	method	method	NOUN
ajst-28824	25	6	widely	widely	ADV
ajst-28824	25	7	used	use	VERB
ajst-28824	25	8	in	in	ADP
ajst-28824	25	9	nucleic	nucleic	ADJ
ajst-28824	25	10	acid	acid	NOUN
ajst-28824	25	11	sequence	sequence	NOUN
ajst-28824	25	12	analysis	analysis	NOUN
ajst-28824	25	13	,	,	PUNCT
ajst-28824	25	14	first	first	ADV
ajst-28824	25	15	introduced	introduce	VERB
ajst-28824	25	16	by	by	ADP
ajst-28824	25	17	sharp	sharp	ADJ
ajst-28824	25	18	and	and	CCONJ
ajst-28824	25	19	li	li	PROPN
ajst-28824	25	20	in	in	ADP
ajst-28824	25	21	1987	1987	NUM
ajst-28824	25	22	[	[	X
ajst-28824	25	23	8	8	NUM
ajst-28824	25	24	]	]	PUNCT
ajst-28824	25	25	.	.	PUNCT
ajst-28824	26	1	it	it	PRON
ajst-28824	26	2	aims	aim	VERB
ajst-28824	26	3	to	to	PART
ajst-28824	26	4	investigate	investigate	VERB
ajst-28824	26	5	the	the	DET
ajst-28824	26	6	usage	usage	NOUN
ajst-28824	26	7	preference	preference	NOUN
ajst-28824	26	8	of	of	ADP
ajst-28824	26	9	synonymous	synonymous	ADJ
ajst-28824	26	10	codons	codon	NOUN
ajst-28824	26	11	in	in	ADP
ajst-28824	26	12	genes	gene	NOUN
ajst-28824	26	13	.	.	PUNCT
ajst-28824	27	1	by	by	ADP
ajst-28824	27	2	quantifying	quantify	VERB
ajst-28824	27	3	the	the	DET
ajst-28824	27	4	frequency	frequency	NOUN
ajst-28824	27	5	of	of	ADP
ajst-28824	27	6	codon	codon	ADJ
ajst-28824	27	7	usage	usage	NOUN
ajst-28824	27	8	,	,	PUNCT
ajst-28824	27	9	rscu	rscu	NOUN
ajst-28824	27	10	analysis	analysis	NOUN
ajst-28824	27	11	can	can	AUX
ajst-28824	27	12	reveal	reveal	VERB
ajst-28824	27	13	underlying	underlie	VERB
ajst-28824	27	14	patterns	pattern	NOUN
ajst-28824	27	15	related	relate	VERB
ajst-28824	27	16	to	to	ADP
ajst-28824	27	17	gene	gene	NOUN
ajst-28824	27	18	expression	expression	NOUN
ajst-28824	27	19	regulation	regulation	NOUN
ajst-28824	27	20	,	,	PUNCT
ajst-28824	27	21	genome	genome	NOUN
ajst-28824	27	22	evolution	evolution	NOUN
ajst-28824	27	23	,	,	PUNCT
ajst-28824	27	24	and	and	CCONJ
ajst-28824	27	25	other	other	ADJ
ajst-28824	27	26	aspects	aspect	NOUN
ajst-28824	27	27	.	.	PUNCT
ajst-28824	28	1	rscu	rscu	NOUN
ajst-28824	28	2	analysis	analysis	NOUN
ajst-28824	28	3	not	not	PART
ajst-28824	28	4	only	only	ADV
ajst-28824	28	5	uncovers	uncover	NOUN
ajst-28824	28	6	the	the	DET
ajst-28824	28	7	codon	codon	ADJ
ajst-28824	28	8	usage	usage	NOUN
ajst-28824	28	9	bias	bias	NOUN
ajst-28824	28	10	in	in	ADP
ajst-28824	28	11	genes	gene	NOUN
ajst-28824	28	12	but	but	CCONJ
ajst-28824	28	13	also	also	ADV
ajst-28824	28	14	reflects	reflect	VERB
ajst-28824	28	15	differences	difference	NOUN
ajst-28824	28	16	in	in	ADP
ajst-28824	28	17	gene	gene	NOUN
ajst-28824	28	18	expression	expression	NOUN
ajst-28824	28	19	levels	level	NOUN
ajst-28824	29	1	[	[	X
ajst-28824	29	2	9	9	NUM
ajst-28824	29	3	]	]	PUNCT
ajst-28824	29	4	.	.	PUNCT
ajst-28824	30	1	high	high	ADJ
ajst-28824	30	2	-	-	PUNCT
ajst-28824	30	3	expression	expression	NOUN
ajst-28824	30	4	genes	gene	NOUN
ajst-28824	30	5	tend	tend	VERB
ajst-28824	30	6	to	to	PART
ajst-28824	30	7	preferentially	preferentially	ADV
ajst-28824	30	8	use	use	VERB
ajst-28824	30	9	synonymous	synonymous	ADJ
ajst-28824	30	10	codons	codon	NOUN
ajst-28824	30	11	that	that	PRON
ajst-28824	30	12	are	be	AUX
ajst-28824	30	13	more	more	ADV
ajst-28824	30	14	frequently	frequently	ADV
ajst-28824	30	15	utilized	utilize	VERB
ajst-28824	30	16	in	in	ADP
ajst-28824	30	17	specific	specific	ADJ
ajst-28824	30	18	species	specie	NOUN
ajst-28824	30	19	or	or	CCONJ
ajst-28824	30	20	environments	environment	NOUN
ajst-28824	30	21	,	,	PUNCT
ajst-28824	30	22	a	a	DET
ajst-28824	30	23	phenomenon	phenomenon	NOUN
ajst-28824	30	24	known	know	VERB
ajst-28824	30	25	as	as	ADP
ajst-28824	30	26	codon	codon	NOUN
ajst-28824	30	27	bias	bias	NOUN
ajst-28824	30	28	.	.	PUNCT
ajst-28824	31	1	based	base	VERB
ajst-28824	31	2	on	on	ADP
ajst-28824	31	3	this	this	PRON
ajst-28824	31	4	,	,	PUNCT
ajst-28824	31	5	rscu	rscu	NOUN
ajst-28824	31	6	has	have	AUX
ajst-28824	31	7	been	be	AUX
ajst-28824	31	8	widely	widely	ADV
ajst-28824	31	9	applied	apply	VERB
ajst-28824	31	10	in	in	ADP
ajst-28824	31	11	various	various	ADJ
ajst-28824	31	12	fields	field	NOUN
ajst-28824	31	13	,	,	PUNCT
ajst-28824	31	14	including	include	VERB
ajst-28824	31	15	the	the	DET
ajst-28824	31	16	prediction	prediction	NOUN
ajst-28824	31	17	of	of	ADP
ajst-28824	31	18	gene	gene	NOUN
ajst-28824	31	19	expression	expression	NOUN
ajst-28824	31	20	levels	level	NOUN
ajst-28824	31	21	,	,	PUNCT
ajst-28824	31	22	the	the	DET
ajst-28824	31	23	study	study	NOUN
ajst-28824	31	24	of	of	ADP
ajst-28824	31	25	genome	genome	NOUN
ajst-28824	31	26	adaptive	adaptive	ADJ
ajst-28824	31	27	evolution	evolution	NOUN
ajst-28824	31	28	,	,	PUNCT
ajst-28824	31	29	and	and	CCONJ
ajst-28824	31	30	the	the	DET
ajst-28824	31	31	analysis	analysis	NOUN
ajst-28824	31	32	of	of	ADP
ajst-28824	31	33	gene	gene	NOUN
ajst-28824	31	34	function	function	NOUN
ajst-28824	31	35	[	[	X
ajst-28824	31	36	10	10	NUM
ajst-28824	31	37	]	]	PUNCT
ajst-28824	31	38	.	.	PUNCT
ajst-28824	32	1	the	the	DET
ajst-28824	32	2	k	k	PROPN
ajst-28824	32	3	-	-	PUNCT
ajst-28824	32	4	mer	mer	PROPN
ajst-28824	32	5	method	method	NOUN
ajst-28824	32	6	is	be	AUX
ajst-28824	32	7	a	a	DET
ajst-28824	32	8	widely	widely	ADV
ajst-28824	32	9	used	use	VERB
ajst-28824	32	10	technique	technique	NOUN
ajst-28824	32	11	in	in	ADP
ajst-28824	32	12	nucleic	nucleic	ADJ
ajst-28824	32	13	acid	acid	NOUN
ajst-28824	32	14	sequence	sequence	NOUN
ajst-28824	32	15	analysis	analysis	NOUN
ajst-28824	32	16	,	,	PUNCT
ajst-28824	32	17	primarily	primarily	ADV
ajst-28824	32	18	aimed	aim	VERB
ajst-28824	32	19	at	at	ADP
ajst-28824	32	20	uncovering	uncover	VERB
ajst-28824	32	21	sequence	sequence	NOUN
ajst-28824	32	22	patterns	pattern	NOUN
ajst-28824	32	23	and	and	CCONJ
ajst-28824	32	24	structural	structural	ADJ
ajst-28824	32	25	features	feature	NOUN
ajst-28824	32	26	within	within	ADP
ajst-28824	32	27	genomes	genome	NOUN
ajst-28824	32	28	[	[	X
ajst-28824	32	29	11	11	NUM
ajst-28824	32	30	]	]	PUNCT
ajst-28824	32	31	.	.	PUNCT
ajst-28824	33	1	a	a	DET
ajst-28824	33	2	k	k	PROPN
ajst-28824	33	3	-	-	PUNCT
ajst-28824	33	4	mer	mer	NOUN
ajst-28824	33	5	refers	refer	VERB
ajst-28824	33	6	to	to	ADP
ajst-28824	33	7	a	a	DET
ajst-28824	33	8	subsequence	subsequence	NOUN
ajst-28824	33	9	composed	compose	VERB
ajst-28824	33	10	of	of	ADP
ajst-28824	33	11	k	k	PROPN
ajst-28824	33	12	consecutive	consecutive	ADJ
ajst-28824	33	13	nucleotides	nucleotide	NOUN
ajst-28824	33	14	,	,	PUNCT
ajst-28824	33	15	and	and	CCONJ
ajst-28824	33	16	its	its	PRON
ajst-28824	33	17	frequency	frequency	NOUN
ajst-28824	33	18	distribution	distribution	NOUN
ajst-28824	33	19	within	within	ADP
ajst-28824	33	20	the	the	DET
ajst-28824	33	21	genome	genome	NOUN
ajst-28824	33	22	provides	provide	VERB
ajst-28824	33	23	valuable	valuable	ADJ
ajst-28824	33	24	insights	insight	NOUN
ajst-28824	33	25	into	into	ADP
ajst-28824	33	26	the	the	DET
ajst-28824	33	27	genome	genome	NOUN
ajst-28824	33	28	’s	’s	PART
ajst-28824	33	29	structure	structure	NOUN
ajst-28824	33	30	,	,	PUNCT
ajst-28824	33	31	function	function	NOUN
ajst-28824	33	32	,	,	PUNCT
ajst-28824	33	33	and	and	CCONJ
ajst-28824	33	34	evolution	evolution	NOUN
ajst-28824	34	1	[	[	X
ajst-28824	34	2	12	12	NUM
ajst-28824	34	3	]	]	PUNCT
ajst-28824	34	4	.	.	PUNCT
ajst-28824	35	1	the	the	DET
ajst-28824	35	2	main	main	ADJ
ajst-28824	35	3	advantages	advantage	NOUN
ajst-28824	35	4	of	of	ADP
ajst-28824	35	5	the	the	DET
ajst-28824	35	6	kmer	kmer	NOUN
ajst-28824	35	7	method	method	PROPN
ajst-28824	35	8	lie	lie	NOUN
ajst-28824	35	9	in	in	ADP
ajst-28824	35	10	its	its	PRON
ajst-28824	35	11	efficiency	efficiency	NOUN
ajst-28824	35	12	,	,	PUNCT
ajst-28824	35	13	flexibility	flexibility	NOUN
ajst-28824	35	14	,	,	PUNCT
ajst-28824	35	15	and	and	CCONJ
ajst-28824	35	16	broad	broad	ADJ
ajst-28824	35	17	applicability	applicability	NOUN
ajst-28824	35	18	,	,	PUNCT
ajst-28824	35	19	enabling	enable	VERB
ajst-28824	35	20	it	it	PRON
ajst-28824	35	21	to	to	PART
ajst-28824	35	22	handle	handle	VERB
ajst-28824	35	23	large	large	ADJ
ajst-28824	35	24	-	-	PUNCT
ajst-28824	35	25	scale	scale	NOUN
ajst-28824	35	26	genomic	genomic	NOUN
ajst-28824	35	27	data	datum	NOUN
ajst-28824	35	28	and	and	CCONJ
ajst-28824	35	29	play	play	VERB
ajst-28824	35	30	a	a	DET
ajst-28824	35	31	crucial	crucial	ADJ
ajst-28824	35	32	role	role	NOUN
ajst-28824	35	33	in	in	ADP
ajst-28824	35	34	various	various	ADJ
ajst-28824	35	35	genomic	genomic	ADJ
ajst-28824	35	36	studies	study	NOUN
ajst-28824	35	37	[	[	X
ajst-28824	35	38	13	13	NUM
ajst-28824	35	39	]	]	PUNCT
ajst-28824	35	40	.	.	PUNCT
ajst-28824	36	1	by	by	ADP
ajst-28824	36	2	calculating	calculate	VERB
ajst-28824	36	3	the	the	DET
ajst-28824	36	4	frequency	frequency	NOUN
ajst-28824	36	5	of	of	ADP
ajst-28824	36	6	each	each	DET
ajst-28824	36	7	k	k	PROPN
ajst-28824	36	8	-	-	PUNCT
ajst-28824	36	9	mer	mer	NOUN
ajst-28824	36	10	in	in	ADP
ajst-28824	36	11	the	the	DET
ajst-28824	36	12	genome	genome	NOUN
ajst-28824	36	13	,	,	PUNCT
ajst-28824	36	14	characteristic	characteristic	ADJ
ajst-28824	36	15	patterns	pattern	NOUN
ajst-28824	36	16	of	of	ADP
ajst-28824	36	17	the	the	DET
ajst-28824	36	18	genome	genome	NOUN
ajst-28824	36	19	can	can	AUX
ajst-28824	36	20	be	be	AUX
ajst-28824	36	21	identified	identify	VERB
ajst-28824	36	22	,	,	PUNCT
ajst-28824	36	23	which	which	PRON
ajst-28824	36	24	are	be	AUX
ajst-28824	36	25	then	then	ADV
ajst-28824	36	26	utilized	utilize	VERB
ajst-28824	36	27	in	in	ADP
ajst-28824	36	28	gene	gene	NOUN
ajst-28824	36	29	prediction	prediction	NOUN
ajst-28824	36	30	,	,	PUNCT
ajst-28824	36	31	sequence	sequence	NOUN
ajst-28824	36	32	alignment	alignment	NOUN
ajst-28824	36	33	,	,	PUNCT
ajst-28824	36	34	genome	genome	NOUN
ajst-28824	36	35	assembly	assembly	NOUN
ajst-28824	36	36	,	,	PUNCT
ajst-28824	36	37	and	and	CCONJ
ajst-28824	36	38	gene	gene	NOUN
ajst-28824	36	39	expression	expression	NOUN
ajst-28824	36	40	analysis	analysis	NOUN
ajst-28824	36	41	,	,	PUNCT
ajst-28824	36	42	among	among	ADP
ajst-28824	36	43	other	other	ADJ
ajst-28824	36	44	research	research	NOUN
ajst-28824	36	45	areas	area	NOUN
ajst-28824	36	46	.	.	PUNCT
ajst-28824	37	1	in	in	ADP
ajst-28824	37	2	gene	gene	NOUN
ajst-28824	37	3	expression	expression	NOUN
ajst-28824	37	4	analysis	analysis	NOUN
ajst-28824	37	5	,	,	PUNCT
ajst-28824	37	6	the	the	DET
ajst-28824	37	7	k	k	PROPN
ajst-28824	37	8	-	-	PUNCT
ajst-28824	37	9	mer	mer	PROPN
ajst-28824	37	10	method	method	PROPN
ajst-28824	37	11	aids	aid	NOUN
ajst-28824	37	12	in	in	ADP
ajst-28824	37	13	identifying	identify	VERB
ajst-28824	37	14	sequence	sequence	NOUN
ajst-28824	37	15	features	feature	NOUN
ajst-28824	37	16	associated	associate	VERB
ajst-28824	37	17	with	with	ADP
ajst-28824	37	18	specific	specific	ADJ
ajst-28824	37	19	gene	gene	NOUN
ajst-28824	37	20	expression	expression	NOUN
ajst-28824	37	21	by	by	ADP
ajst-28824	37	22	revealing	reveal	VERB
ajst-28824	37	23	enrichment	enrichment	NOUN
ajst-28824	37	24	patterns	pattern	NOUN
ajst-28824	37	25	of	of	ADP
ajst-28824	37	26	certain	certain	ADJ
ajst-28824	37	27	335	335	NUM
ajst-28824	37	28	k	k	NOUN
ajst-28824	37	29	-	-	PUNCT
ajst-28824	37	30	mers	mer	NOUN
ajst-28824	37	31	[	[	X
ajst-28824	37	32	14	14	NUM
ajst-28824	37	33	]	]	PUNCT
ajst-28824	37	34	.	.	PUNCT
ajst-28824	38	1	for	for	ADP
ajst-28824	38	2	example	example	NOUN
ajst-28824	38	3	,	,	PUNCT
ajst-28824	38	4	changes	change	NOUN
ajst-28824	38	5	in	in	ADP
ajst-28824	38	6	the	the	DET
ajst-28824	38	7	frequency	frequency	NOUN
ajst-28824	38	8	of	of	ADP
ajst-28824	38	9	specific	specific	ADJ
ajst-28824	38	10	k	k	NOUN
ajst-28824	38	11	-	-	PUNCT
ajst-28824	38	12	mers	mer	NOUN
ajst-28824	38	13	may	may	AUX
ajst-28824	38	14	be	be	AUX
ajst-28824	38	15	linked	link	VERB
ajst-28824	38	16	to	to	ADP
ajst-28824	38	17	transcription	transcription	NOUN
ajst-28824	38	18	factor	factor	NOUN
ajst-28824	38	19	binding	bind	VERB
ajst-28824	38	20	sites	site	NOUN
ajst-28824	38	21	[	[	X
ajst-28824	38	22	15	15	NUM
ajst-28824	38	23	]	]	PUNCT
ajst-28824	38	24	,	,	PUNCT
ajst-28824	38	25	gene	gene	NOUN
ajst-28824	38	26	promoter	promoter	NOUN
ajst-28824	38	27	regions	region	NOUN
ajst-28824	39	1	[	[	X
ajst-28824	39	2	16	16	NUM
ajst-28824	39	3	]	]	PUNCT
ajst-28824	39	4	,	,	PUNCT
ajst-28824	39	5	or	or	CCONJ
ajst-28824	39	6	regulatory	regulatory	ADJ
ajst-28824	39	7	elements	element	NOUN
ajst-28824	39	8	of	of	ADP
ajst-28824	39	9	genes	gene	NOUN
ajst-28824	39	10	[	[	X
ajst-28824	39	11	17	17	NUM
ajst-28824	39	12	]	]	PUNCT
ajst-28824	39	13	,	,	PUNCT
ajst-28824	39	14	thus	thus	ADV
ajst-28824	39	15	providing	provide	VERB
ajst-28824	39	16	clues	clue	NOUN
ajst-28824	39	17	to	to	ADP
ajst-28824	39	18	the	the	DET
ajst-28824	39	19	underlying	underlie	VERB
ajst-28824	39	20	gene	gene	NOUN
ajst-28824	39	21	regulatory	regulatory	ADJ
ajst-28824	39	22	mechanisms	mechanism	NOUN
ajst-28824	39	23	[	[	X
ajst-28824	39	24	18	18	NUM
ajst-28824	39	25	]	]	PUNCT
ajst-28824	39	26	.	.	PUNCT
ajst-28824	40	1	in	in	ADP
ajst-28824	40	2	this	this	DET
ajst-28824	40	3	study	study	NOUN
ajst-28824	40	4	,	,	PUNCT
ajst-28824	40	5	we	we	PRON
ajst-28824	40	6	employed	employ	VERB
ajst-28824	40	7	the	the	DET
ajst-28824	40	8	svm	svm	ADJ
ajst-28824	40	9	algorithm	algorithm	NOUN
ajst-28824	40	10	to	to	PART
ajst-28824	40	11	investigate	investigate	VERB
ajst-28824	40	12	the	the	DET
ajst-28824	40	13	performance	performance	NOUN
ajst-28824	40	14	of	of	ADP
ajst-28824	40	15	the	the	DET
ajst-28824	40	16	rscu	rscu	NOUN
ajst-28824	40	17	and	and	CCONJ
ajst-28824	40	18	k	k	PROPN
ajst-28824	40	19	-	-	PUNCT
ajst-28824	40	20	mer	mer	PROPN
ajst-28824	40	21	encoding	encoding	NOUN
ajst-28824	40	22	methods	method	NOUN
ajst-28824	40	23	in	in	ADP
ajst-28824	40	24	the	the	DET
ajst-28824	40	25	classification	classification	NOUN
ajst-28824	40	26	of	of	ADP
ajst-28824	40	27	the	the	DET
ajst-28824	40	28	covid-19	covid-19	PROPN
ajst-28824	40	29	virus	virus	NOUN
ajst-28824	40	30	.	.	PUNCT
ajst-28824	41	1	to	to	PART
ajst-28824	41	2	further	far	ADV
ajst-28824	41	3	enhance	enhance	VERB
ajst-28824	41	4	the	the	DET
ajst-28824	41	5	classification	classification	NOUN
ajst-28824	41	6	performance	performance	NOUN
ajst-28824	41	7	,	,	PUNCT
ajst-28824	41	8	we	we	PRON
ajst-28824	41	9	innovatively	innovatively	ADV
ajst-28824	41	10	proposed	propose	VERB
ajst-28824	41	11	a	a	DET
ajst-28824	41	12	multi	multi	ADJ
ajst-28824	41	13	-	-	ADJ
ajst-28824	41	14	feature	feature	ADJ
ajst-28824	41	15	fusion	fusion	NOUN
ajst-28824	41	16	approach	approach	NOUN
ajst-28824	41	17	called	call	VERB
ajst-28824	41	18	krscu	krscu	PROPN
ajst-28824	41	19	.	.	PUNCT
ajst-28824	42	1	the	the	DET
ajst-28824	42	2	krscu	krscu	PROPN
ajst-28824	42	3	method	method	NOUN
ajst-28824	42	4	combines	combine	VERB
ajst-28824	42	5	the	the	DET
ajst-28824	42	6	compositional	compositional	ADJ
ajst-28824	42	7	features	feature	NOUN
ajst-28824	42	8	of	of	ADP
ajst-28824	42	9	rscu	rscu	NOUN
ajst-28824	42	10	with	with	ADP
ajst-28824	42	11	the	the	DET
ajst-28824	42	12	positional	positional	ADJ
ajst-28824	42	13	information	information	NOUN
ajst-28824	42	14	of	of	ADP
ajst-28824	42	15	k	k	PROPN
ajst-28824	42	16	-	-	PUNCT
ajst-28824	42	17	mers	mer	NOUN
ajst-28824	42	18	,	,	PUNCT
ajst-28824	42	19	aiming	aim	VERB
ajst-28824	42	20	to	to	PART
ajst-28824	42	21	leverage	leverage	VERB
ajst-28824	42	22	the	the	DET
ajst-28824	42	23	strengths	strength	NOUN
ajst-28824	42	24	of	of	ADP
ajst-28824	42	25	both	both	DET
ajst-28824	42	26	techniques	technique	NOUN
ajst-28824	42	27	for	for	ADP
ajst-28824	42	28	a	a	DET
ajst-28824	42	29	more	more	ADV
ajst-28824	42	30	comprehensive	comprehensive	ADJ
ajst-28824	42	31	representation	representation	NOUN
ajst-28824	42	32	of	of	ADP
ajst-28824	42	33	viral	viral	ADJ
ajst-28824	42	34	sequences	sequence	NOUN
ajst-28824	42	35	.	.	PUNCT
ajst-28824	43	1	specifically	specifically	ADV
ajst-28824	43	2	,	,	PUNCT
ajst-28824	43	3	the	the	DET
ajst-28824	43	4	rscu	rscu	NOUN
ajst-28824	43	5	method	method	NOUN
ajst-28824	43	6	focuses	focus	VERB
ajst-28824	43	7	on	on	ADP
ajst-28824	43	8	the	the	DET
ajst-28824	43	9	relative	relative	ADJ
ajst-28824	43	10	usage	usage	NOUN
ajst-28824	43	11	frequencies	frequency	NOUN
ajst-28824	43	12	of	of	ADP
ajst-28824	43	13	codons	codon	NOUN
ajst-28824	43	14	in	in	ADP
ajst-28824	43	15	gene	gene	NOUN
ajst-28824	43	16	sequences	sequence	NOUN
ajst-28824	43	17	,	,	PUNCT
ajst-28824	43	18	while	while	SCONJ
ajst-28824	43	19	the	the	DET
ajst-28824	43	20	k	k	PROPN
ajst-28824	43	21	-	-	PUNCT
ajst-28824	43	22	mer	mer	PROPN
ajst-28824	43	23	method	method	NOUN
ajst-28824	43	24	captures	capture	VERB
ajst-28824	43	25	local	local	ADJ
ajst-28824	43	26	structural	structural	ADJ
ajst-28824	43	27	patterns	pattern	NOUN
ajst-28824	43	28	and	and	CCONJ
ajst-28824	43	29	motifs	motif	NOUN
ajst-28824	43	30	by	by	ADP
ajst-28824	43	31	considering	consider	VERB
ajst-28824	43	32	short	short	ADJ
ajst-28824	43	33	sequence	sequence	NOUN
ajst-28824	43	34	fragments	fragment	NOUN
ajst-28824	43	35	.	.	PUNCT
ajst-28824	44	1	by	by	ADP
ajst-28824	44	2	integrating	integrate	VERB
ajst-28824	44	3	these	these	DET
ajst-28824	44	4	two	two	NUM
ajst-28824	44	5	features	feature	NOUN
ajst-28824	44	6	,	,	PUNCT
ajst-28824	44	7	the	the	DET
ajst-28824	44	8	krscu	krscu	NOUN
ajst-28824	44	9	approach	approach	NOUN
ajst-28824	44	10	provides	provide	VERB
ajst-28824	44	11	a	a	DET
ajst-28824	44	12	richer	rich	ADJ
ajst-28824	44	13	and	and	CCONJ
ajst-28824	44	14	more	more	ADV
ajst-28824	44	15	accurate	accurate	ADJ
ajst-28824	44	16	sequence	sequence	NOUN
ajst-28824	44	17	representation	representation	NOUN
ajst-28824	44	18	,	,	PUNCT
ajst-28824	44	19	improving	improve	VERB
ajst-28824	44	20	classification	classification	NOUN
ajst-28824	44	21	accuracy	accuracy	NOUN
ajst-28824	44	22	and	and	CCONJ
ajst-28824	44	23	robustness	robustness	NOUN
ajst-28824	44	24	.	.	PUNCT
ajst-28824	45	1	future	future	ADJ
ajst-28824	45	2	research	research	NOUN
ajst-28824	45	3	could	could	AUX
ajst-28824	45	4	explore	explore	VERB
ajst-28824	45	5	the	the	DET
ajst-28824	45	6	potential	potential	NOUN
ajst-28824	45	7	of	of	ADP
ajst-28824	45	8	this	this	DET
ajst-28824	45	9	method	method	NOUN
ajst-28824	45	10	in	in	ADP
ajst-28824	45	11	the	the	DET
ajst-28824	45	12	classification	classification	NOUN
ajst-28824	45	13	of	of	ADP
ajst-28824	45	14	other	other	ADJ
ajst-28824	45	15	viruses	virus	NOUN
ajst-28824	45	16	or	or	CCONJ
ajst-28824	45	17	biological	biological	ADJ
ajst-28824	45	18	entities	entity	NOUN
ajst-28824	45	19	.	.	PUNCT
ajst-28824	46	1	2	2	X
ajst-28824	46	2	.	.	X
ajst-28824	46	3	materials	material	NOUN
ajst-28824	46	4	and	and	CCONJ
ajst-28824	46	5	methods	method	NOUN
ajst-28824	46	6	2.1	2.1	NUM
ajst-28824	46	7	.	.	PUNCT
ajst-28824	47	1	data	datum	NOUN
ajst-28824	47	2	in	in	ADP
ajst-28824	47	3	this	this	DET
ajst-28824	47	4	study	study	NOUN
ajst-28824	47	5	,	,	PUNCT
ajst-28824	47	6	we	we	PRON
ajst-28824	47	7	downloaded	download	VERB
ajst-28824	47	8	398	398	NUM
ajst-28824	47	9	complete	complete	ADJ
ajst-28824	47	10	sars	sar	NOUN
ajst-28824	47	11	-	-	PUNCT
ajst-28824	47	12	cov-2	cov-2	NOUN
ajst-28824	47	13	genomes	genome	NOUN
ajst-28824	47	14	from	from	ADP
ajst-28824	47	15	the	the	DET
ajst-28824	47	16	national	national	ADJ
ajst-28824	47	17	center	center	NOUN
ajst-28824	47	18	for	for	ADP
ajst-28824	47	19	biotechnology	biotechnology	NOUN
ajst-28824	47	20	information	information	NOUN
ajst-28824	47	21	(	(	PUNCT
ajst-28824	47	22	ncbi	ncbi	NOUN
ajst-28824	47	23	)	)	PUNCT
ajst-28824	47	24	genbank	genbank	PROPN
ajst-28824	47	25	(	(	PUNCT
ajst-28824	47	26	table	table	NOUN
ajst-28824	47	27	1	1	NUM
ajst-28824	47	28	)	)	PUNCT
ajst-28824	47	29	.	.	PUNCT
ajst-28824	48	1	to	to	PART
ajst-28824	48	2	ensure	ensure	VERB
ajst-28824	48	3	that	that	SCONJ
ajst-28824	48	4	the	the	DET
ajst-28824	48	5	data	datum	NOUN
ajst-28824	48	6	used	use	VERB
ajst-28824	48	7	were	be	AUX
ajst-28824	48	8	of	of	ADP
ajst-28824	48	9	high	high	ADJ
ajst-28824	48	10	quality	quality	NOUN
ajst-28824	48	11	and	and	CCONJ
ajst-28824	48	12	representativeness	representativeness	NOUN
ajst-28824	48	13	,	,	PUNCT
ajst-28824	48	14	we	we	PRON
ajst-28824	48	15	implemented	implement	VERB
ajst-28824	48	16	a	a	DET
ajst-28824	48	17	rigorous	rigorous	ADJ
ajst-28824	48	18	selection	selection	NOUN
ajst-28824	48	19	strategy	strategy	NOUN
ajst-28824	48	20	,	,	PUNCT
ajst-28824	48	21	which	which	PRON
ajst-28824	48	22	included	include	VERB
ajst-28824	48	23	the	the	DET
ajst-28824	48	24	following	follow	VERB
ajst-28824	48	25	steps	step	NOUN
ajst-28824	48	26	:	:	PUNCT
ajst-28824	48	27	variant	variant	ADJ
ajst-28824	48	28	strain	strain	NOUN
ajst-28824	48	29	coverage	coverage	NOUN
ajst-28824	48	30	:	:	PUNCT
ajst-28824	48	31	we	we	PRON
ajst-28824	48	32	selected	select	VERB
ajst-28824	48	33	multiple	multiple	ADJ
ajst-28824	48	34	sars	sar	NOUN
ajst-28824	48	35	-	-	PUNCT
ajst-28824	48	36	cov2	cov2	PROPN
ajst-28824	48	37	sequences	sequence	NOUN
ajst-28824	48	38	from	from	ADP
ajst-28824	48	39	the	the	DET
ajst-28824	48	40	sars	sar	NOUN
ajst-28824	48	41	-	-	PUNCT
ajst-28824	48	42	cov-2	cov-2	NOUN
ajst-28824	48	43	data	datum	NOUN
ajst-28824	48	44	hub	hub	NOUN
ajst-28824	48	45	,	,	PUNCT
ajst-28824	48	46	including	include	VERB
ajst-28824	48	47	those	those	PRON
ajst-28824	48	48	from	from	ADP
ajst-28824	48	49	the	the	DET
ajst-28824	48	50	alpha	alpha	NOUN
ajst-28824	48	51	and	and	CCONJ
ajst-28824	48	52	beta	beta	ADJ
ajst-28824	48	53	variants	variant	NOUN
ajst-28824	48	54	.	.	PUNCT
ajst-28824	49	1	these	these	DET
ajst-28824	49	2	variants	variant	NOUN
ajst-28824	49	3	represent	represent	VERB
ajst-28824	49	4	different	different	ADJ
ajst-28824	49	5	evolutionary	evolutionary	ADJ
ajst-28824	49	6	lineages	lineage	NOUN
ajst-28824	49	7	and	and	CCONJ
ajst-28824	49	8	encompass	encompass	VERB
ajst-28824	49	9	a	a	DET
ajst-28824	49	10	wide	wide	ADJ
ajst-28824	49	11	range	range	NOUN
ajst-28824	49	12	of	of	ADP
ajst-28824	49	13	viral	viral	ADJ
ajst-28824	49	14	characteristics	characteristic	NOUN
ajst-28824	49	15	[	[	X
ajst-28824	49	16	19	19	NUM
ajst-28824	49	17	]	]	PUNCT
ajst-28824	49	18	.	.	PUNCT
ajst-28824	50	1	quality	quality	NOUN
ajst-28824	50	2	and	and	CCONJ
ajst-28824	50	3	integrity	integrity	NOUN
ajst-28824	50	4	filtering	filtering	NOUN
ajst-28824	50	5	:	:	PUNCT
ajst-28824	50	6	during	during	ADP
ajst-28824	50	7	the	the	DET
ajst-28824	50	8	selection	selection	NOUN
ajst-28824	50	9	process	process	NOUN
ajst-28824	50	10	,	,	PUNCT
ajst-28824	50	11	we	we	PRON
ajst-28824	50	12	applied	apply	VERB
ajst-28824	50	13	strict	strict	ADJ
ajst-28824	50	14	criteria	criterion	NOUN
ajst-28824	50	15	to	to	PART
ajst-28824	50	16	ensure	ensure	VERB
ajst-28824	50	17	that	that	SCONJ
ajst-28824	50	18	the	the	DET
ajst-28824	50	19	genome	genome	NOUN
ajst-28824	50	20	sequences	sequence	NOUN
ajst-28824	50	21	had	have	VERB
ajst-28824	50	22	high	high	ADJ
ajst-28824	50	23	quality	quality	NOUN
ajst-28824	50	24	and	and	CCONJ
ajst-28824	50	25	integrity	integrity	NOUN
ajst-28824	50	26	.	.	PUNCT
ajst-28824	51	1	sequences	sequence	NOUN
ajst-28824	51	2	with	with	ADP
ajst-28824	51	3	obvious	obvious	ADJ
ajst-28824	51	4	gaps	gap	NOUN
ajst-28824	51	5	,	,	PUNCT
ajst-28824	51	6	errors	error	NOUN
ajst-28824	51	7	,	,	PUNCT
ajst-28824	51	8	or	or	CCONJ
ajst-28824	51	9	low	low	ADJ
ajst-28824	51	10	-	-	PUNCT
ajst-28824	51	11	quality	quality	NOUN
ajst-28824	51	12	segments	segment	NOUN
ajst-28824	51	13	were	be	AUX
ajst-28824	51	14	excluded	exclude	VERB
ajst-28824	51	15	,	,	PUNCT
ajst-28824	51	16	preventing	prevent	VERB
ajst-28824	51	17	biases	bias	NOUN
ajst-28824	51	18	in	in	ADP
ajst-28824	51	19	the	the	DET
ajst-28824	51	20	analysis	analysis	NOUN
ajst-28824	51	21	due	due	ADP
ajst-28824	51	22	to	to	ADP
ajst-28824	51	23	sequence	sequence	NOUN
ajst-28824	51	24	contamination	contamination	NOUN
ajst-28824	51	25	or	or	CCONJ
ajst-28824	51	26	incompleteness	incompleteness	NOUN
ajst-28824	51	27	[	[	X
ajst-28824	51	28	20	20	NUM
ajst-28824	51	29	]	]	PUNCT
ajst-28824	51	30	.	.	PUNCT
ajst-28824	52	1	diversity	diversity	NOUN
ajst-28824	52	2	and	and	CCONJ
ajst-28824	52	3	representativeness	representativeness	NOUN
ajst-28824	52	4	:	:	PUNCT
ajst-28824	52	5	to	to	PART
ajst-28824	52	6	enhance	enhance	VERB
ajst-28824	52	7	the	the	DET
ajst-28824	52	8	generalizability	generalizability	NOUN
ajst-28824	52	9	and	and	CCONJ
ajst-28824	52	10	applicability	applicability	NOUN
ajst-28824	52	11	of	of	ADP
ajst-28824	52	12	our	our	PRON
ajst-28824	52	13	findings	finding	NOUN
ajst-28824	52	14	,	,	PUNCT
ajst-28824	52	15	we	we	PRON
ajst-28824	52	16	ensured	ensure	VERB
ajst-28824	52	17	the	the	DET
ajst-28824	52	18	inclusion	inclusion	NOUN
ajst-28824	52	19	of	of	ADP
ajst-28824	52	20	virus	virus	NOUN
ajst-28824	52	21	samples	sample	NOUN
ajst-28824	52	22	from	from	ADP
ajst-28824	52	23	diverse	diverse	ADJ
ajst-28824	52	24	geographical	geographical	ADJ
ajst-28824	52	25	locations	location	NOUN
ajst-28824	52	26	,	,	PUNCT
ajst-28824	52	27	time	time	NOUN
ajst-28824	52	28	points	point	NOUN
ajst-28824	52	29	,	,	PUNCT
ajst-28824	52	30	and	and	CCONJ
ajst-28824	52	31	host	host	NOUN
ajst-28824	52	32	sources	source	NOUN
ajst-28824	52	33	.	.	PUNCT
ajst-28824	53	1	this	this	DET
ajst-28824	53	2	broad	broad	ADJ
ajst-28824	53	3	sampling	sampling	NOUN
ajst-28824	53	4	strategy	strategy	NOUN
ajst-28824	53	5	helped	helped	AUX
ajst-28824	53	6	capture	capture	VERB
ajst-28824	53	7	various	various	ADJ
ajst-28824	53	8	viral	viral	ADJ
ajst-28824	53	9	mutations	mutation	NOUN
ajst-28824	53	10	and	and	CCONJ
ajst-28824	53	11	epidemic	epidemic	NOUN
ajst-28824	53	12	dynamics	dynamic	NOUN
ajst-28824	53	13	[	[	X
ajst-28824	53	14	21	21	NUM
ajst-28824	53	15	]	]	PUNCT
ajst-28824	53	16	.	.	PUNCT
ajst-28824	54	1	data	datum	NOUN
ajst-28824	54	2	balance	balance	PROPN
ajst-28824	54	3	:	:	PUNCT
ajst-28824	54	4	during	during	ADP
ajst-28824	54	5	data	data	NOUN
ajst-28824	54	6	collection	collection	NOUN
ajst-28824	54	7	and	and	CCONJ
ajst-28824	54	8	filtering	filtering	NOUN
ajst-28824	54	9	,	,	PUNCT
ajst-28824	54	10	we	we	PRON
ajst-28824	54	11	paid	pay	VERB
ajst-28824	54	12	particular	particular	ADJ
ajst-28824	54	13	attention	attention	NOUN
ajst-28824	54	14	to	to	ADP
ajst-28824	54	15	maintaining	maintain	VERB
ajst-28824	54	16	a	a	DET
ajst-28824	54	17	balanced	balanced	ADJ
ajst-28824	54	18	representation	representation	NOUN
ajst-28824	54	19	of	of	ADP
ajst-28824	54	20	different	different	ADJ
ajst-28824	54	21	sars	sar	NOUN
ajst-28824	54	22	-	-	PUNCT
ajst-28824	54	23	cov-2	cov-2	NOUN
ajst-28824	54	24	variants	variant	NOUN
ajst-28824	54	25	.	.	PUNCT
ajst-28824	55	1	this	this	PRON
ajst-28824	55	2	was	be	AUX
ajst-28824	55	3	done	do	VERB
ajst-28824	55	4	to	to	PART
ajst-28824	55	5	avoid	avoid	VERB
ajst-28824	55	6	the	the	DET
ajst-28824	55	7	potential	potential	ADJ
ajst-28824	55	8	impact	impact	NOUN
ajst-28824	55	9	of	of	ADP
ajst-28824	55	10	class	class	NOUN
ajst-28824	55	11	imbalance	imbalance	NOUN
ajst-28824	55	12	on	on	ADP
ajst-28824	55	13	subsequent	subsequent	ADJ
ajst-28824	55	14	analyses	analysis	NOUN
ajst-28824	55	15	and	and	CCONJ
ajst-28824	55	16	classification	classification	NOUN
ajst-28824	55	17	tasks	task	NOUN
ajst-28824	55	18	.	.	PUNCT
ajst-28824	56	1	ensuring	ensure	VERB
ajst-28824	56	2	this	this	DET
ajst-28824	56	3	balance	balance	NOUN
ajst-28824	56	4	helped	help	VERB
ajst-28824	56	5	maintain	maintain	VERB
ajst-28824	56	6	the	the	DET
ajst-28824	56	7	robustness	robustness	NOUN
ajst-28824	56	8	and	and	CCONJ
ajst-28824	56	9	accuracy	accuracy	NOUN
ajst-28824	56	10	of	of	ADP
ajst-28824	56	11	our	our	PRON
ajst-28824	56	12	classification	classification	NOUN
ajst-28824	56	13	models	model	NOUN
ajst-28824	56	14	[	[	X
ajst-28824	56	15	22	22	NUM
ajst-28824	56	16	]	]	PUNCT
ajst-28824	56	17	.	.	PUNCT
ajst-28824	57	1	table	table	NOUN
ajst-28824	57	2	1	1	NUM
ajst-28824	57	3	.	.	PUNCT
ajst-28824	58	1	the	the	DET
ajst-28824	58	2	data	datum	NOUN
ajst-28824	58	3	of	of	ADP
ajst-28824	58	4	sars	sar	NOUN
ajst-28824	58	5	-	-	PUNCT
ajst-28824	58	6	cov-2	cov-2	NOUN
ajst-28824	58	7	training	training	NOUN
ajst-28824	58	8	data	datum	NOUN
ajst-28824	58	9	test	test	NOUN
ajst-28824	58	10	data	datum	NOUN
ajst-28824	58	11	sum	sum	NOUN
ajst-28824	58	12	alpha	alpha	NOUN
ajst-28824	58	13	140	140	NUM
ajst-28824	58	14	59	59	NUM
ajst-28824	58	15	199	199	NUM
ajst-28824	58	16	beta	beta	NOUN
ajst-28824	58	17	140	140	NUM
ajst-28824	58	18	59	59	NUM
ajst-28824	58	19	199	199	NUM
ajst-28824	58	20	through	through	ADP
ajst-28824	58	21	this	this	DET
ajst-28824	58	22	series	series	NOUN
ajst-28824	58	23	of	of	ADP
ajst-28824	58	24	strict	strict	ADJ
ajst-28824	58	25	selection	selection	NOUN
ajst-28824	58	26	and	and	CCONJ
ajst-28824	58	27	filtering	filtering	NOUN
ajst-28824	58	28	steps	step	NOUN
ajst-28824	58	29	,	,	PUNCT
ajst-28824	58	30	we	we	PRON
ajst-28824	58	31	obtained	obtain	VERB
ajst-28824	58	32	398	398	NUM
ajst-28824	58	33	high	high	ADJ
ajst-28824	58	34	-	-	PUNCT
ajst-28824	58	35	quality	quality	NOUN
ajst-28824	58	36	and	and	CCONJ
ajst-28824	58	37	complete	complete	ADJ
ajst-28824	58	38	sars	sar	NOUN
ajst-28824	58	39	-	-	PUNCT
ajst-28824	58	40	cov-2	cov-2	NOUN
ajst-28824	58	41	genome	genome	NOUN
ajst-28824	58	42	sequences	sequence	NOUN
ajst-28824	58	43	,	,	PUNCT
ajst-28824	58	44	providing	provide	VERB
ajst-28824	58	45	a	a	DET
ajst-28824	58	46	solid	solid	ADJ
ajst-28824	58	47	foundation	foundation	NOUN
ajst-28824	58	48	for	for	ADP
ajst-28824	58	49	further	further	ADJ
ajst-28824	58	50	analysis	analysis	NOUN
ajst-28824	58	51	.	.	PUNCT
ajst-28824	59	1	these	these	DET
ajst-28824	59	2	meticulously	meticulously	ADV
ajst-28824	59	3	curated	curate	VERB
ajst-28824	59	4	sequences	sequence	NOUN
ajst-28824	59	5	will	will	AUX
ajst-28824	59	6	offer	offer	VERB
ajst-28824	59	7	reliable	reliable	ADJ
ajst-28824	59	8	data	datum	NOUN
ajst-28824	59	9	support	support	NOUN
ajst-28824	59	10	for	for	ADP
ajst-28824	59	11	our	our	PRON
ajst-28824	59	12	classification	classification	NOUN
ajst-28824	59	13	research	research	NOUN
ajst-28824	59	14	and	and	CCONJ
ajst-28824	59	15	viral	viral	ADJ
ajst-28824	59	16	mutation	mutation	NOUN
ajst-28824	59	17	analysis	analysis	NOUN
ajst-28824	59	18	.	.	PUNCT
ajst-28824	60	1	2.2	2.2	NUM
ajst-28824	60	2	.	.	PUNCT
ajst-28824	60	3	rscu	rscu	NOUN
ajst-28824	60	4	in	in	ADP
ajst-28824	60	5	this	this	DET
ajst-28824	60	6	study	study	NOUN
ajst-28824	60	7	,	,	PUNCT
ajst-28824	60	8	we	we	PRON
ajst-28824	60	9	employed	employ	VERB
ajst-28824	60	10	the	the	DET
ajst-28824	60	11	relative	relative	ADJ
ajst-28824	60	12	synonymous	synonymous	ADJ
ajst-28824	60	13	codon	codon	NOUN
ajst-28824	60	14	usage	usage	NOUN
ajst-28824	60	15	(	(	PUNCT
ajst-28824	60	16	rscu	rscu	NOUN
ajst-28824	60	17	)	)	PUNCT
ajst-28824	60	18	as	as	ADP
ajst-28824	60	19	an	an	DET
ajst-28824	60	20	encoding	encoding	NOUN
ajst-28824	60	21	method	method	NOUN
ajst-28824	60	22	for	for	ADP
ajst-28824	60	23	feature	feature	NOUN
ajst-28824	60	24	extraction	extraction	NOUN
ajst-28824	60	25	from	from	ADP
ajst-28824	60	26	nucleotide	nucleotide	ADJ
ajst-28824	60	27	sequences	sequence	NOUN
ajst-28824	60	28	.	.	PUNCT
ajst-28824	61	1	rscu	rscu	NOUN
ajst-28824	61	2	is	be	AUX
ajst-28824	61	3	a	a	DET
ajst-28824	61	4	metric	metric	ADJ
ajst-28824	61	5	used	use	VERB
ajst-28824	61	6	to	to	PART
ajst-28824	61	7	quantify	quantify	VERB
ajst-28824	61	8	codon	codon	ADJ
ajst-28824	61	9	usage	usage	NOUN
ajst-28824	61	10	bias	bias	NOUN
ajst-28824	61	11	,	,	PUNCT
ajst-28824	61	12	providing	provide	VERB
ajst-28824	61	13	insights	insight	NOUN
ajst-28824	61	14	into	into	ADP
ajst-28824	61	15	the	the	DET
ajst-28824	61	16	preference	preference	NOUN
ajst-28824	61	17	for	for	ADP
ajst-28824	61	18	certain	certain	ADJ
ajst-28824	61	19	synonymous	synonymous	ADJ
ajst-28824	61	20	codons	codon	NOUN
ajst-28824	61	21	over	over	ADP
ajst-28824	61	22	others	other	NOUN
ajst-28824	61	23	within	within	ADP
ajst-28824	61	24	a	a	DET
ajst-28824	61	25	nucleotide	nucleotide	NOUN
ajst-28824	61	26	sequence[8	sequence[8	NOUN
ajst-28824	61	27	]	]	PUNCT
ajst-28824	61	28	.	.	PUNCT
ajst-28824	62	1	calculation	calculation	NOUN
ajst-28824	62	2	of	of	ADP
ajst-28824	62	3	rscu	rscu	NOUN
ajst-28824	62	4	:	:	PUNCT
ajst-28824	62	5	the	the	DET
ajst-28824	62	6	rscu	rscu	NOUN
ajst-28824	62	7	is	be	AUX
ajst-28824	62	8	computed	compute	VERB
ajst-28824	62	9	based	base	VERB
ajst-28824	62	10	on	on	ADP
ajst-28824	62	11	the	the	DET
ajst-28824	62	12	frequency	frequency	NOUN
ajst-28824	62	13	of	of	ADP
ajst-28824	62	14	synonymous	synonymous	ADJ
ajst-28824	62	15	codons	codon	NOUN
ajst-28824	62	16	for	for	ADP
ajst-28824	62	17	a	a	DET
ajst-28824	62	18	specific	specific	ADJ
ajst-28824	62	19	amino	amino	NOUN
ajst-28824	62	20	acid	acid	NOUN
ajst-28824	62	21	.	.	PUNCT
ajst-28824	63	1	the	the	DET
ajst-28824	63	2	calculation	calculation	NOUN
ajst-28824	63	3	process	process	NOUN
ajst-28824	63	4	is	be	AUX
ajst-28824	63	5	as	as	SCONJ
ajst-28824	63	6	follows	follow	VERB
ajst-28824	63	7	:	:	PUNCT
ajst-28824	63	8	codon	codon	ADJ
ajst-28824	63	9	frequency	frequency	NOUN
ajst-28824	63	10	calculation	calculation	NOUN
ajst-28824	63	11	:	:	PUNCT
ajst-28824	63	12	for	for	ADP
ajst-28824	63	13	a	a	DET
ajst-28824	63	14	given	give	VERB
ajst-28824	63	15	amino	amino	NOUN
ajst-28824	63	16	acid	acid	NOUN
ajst-28824	63	17	(	(	PUNCT
ajst-28824	63	18	e.g.	e.g.	ADV
ajst-28824	63	19	,	,	PUNCT
ajst-28824	63	20	alanine	alanine	NOUN
ajst-28824	63	21	)	)	PUNCT
ajst-28824	63	22	,	,	PUNCT
ajst-28824	63	23	the	the	DET
ajst-28824	63	24	frequencies	frequency	NOUN
ajst-28824	63	25	of	of	ADP
ajst-28824	63	26	all	all	DET
ajst-28824	63	27	possible	possible	ADJ
ajst-28824	63	28	synonymous	synonymous	ADJ
ajst-28824	63	29	codons	codon	NOUN
ajst-28824	63	30	(	(	PUNCT
ajst-28824	63	31	e.g.	e.g.	ADV
ajst-28824	63	32	,	,	PUNCT
ajst-28824	63	33	gcu	gcu	NOUN
ajst-28824	63	34	,	,	PUNCT
ajst-28824	63	35	gcc	gcc	NOUN
ajst-28824	63	36	,	,	PUNCT
ajst-28824	63	37	gca	gca	PROPN
ajst-28824	63	38	,	,	PUNCT
ajst-28824	63	39	gcg	gcg	NOUN
ajst-28824	63	40	for	for	ADP
ajst-28824	63	41	alanine	alanine	NOUN
ajst-28824	63	42	)	)	PUNCT
ajst-28824	63	43	are	be	AUX
ajst-28824	63	44	first	first	ADV
ajst-28824	63	45	recorded	record	VERB
ajst-28824	63	46	.	.	PUNCT
ajst-28824	64	1	average	average	ADJ
ajst-28824	64	2	frequency	frequency	NOUN
ajst-28824	64	3	calculation	calculation	NOUN
ajst-28824	64	4	:	:	PUNCT
ajst-28824	64	5	for	for	ADP
ajst-28824	64	6	the	the	DET
ajst-28824	64	7	synonymous	synonymous	ADJ
ajst-28824	64	8	codons	codon	NOUN
ajst-28824	64	9	of	of	ADP
ajst-28824	64	10	a	a	DET
ajst-28824	64	11	particular	particular	ADJ
ajst-28824	64	12	amino	amino	NOUN
ajst-28824	64	13	acid	acid	NOUN
ajst-28824	64	14	,	,	PUNCT
ajst-28824	64	15	the	the	DET
ajst-28824	64	16	average	average	ADJ
ajst-28824	64	17	occurrence	occurrence	NOUN
ajst-28824	64	18	frequency	frequency	NOUN
ajst-28824	64	19	is	be	AUX
ajst-28824	64	20	computed	compute	VERB
ajst-28824	64	21	as	as	ADP
ajst-28824	64	22	:	:	PUNCT
ajst-28824	64	23	𝐴	𝐴	PROPN
ajst-28824	64	24	∑	∑	PUNCT
ajst-28824	64	25	  	  	SPACE
ajst-28824	64	26	(	(	PUNCT
ajst-28824	64	27	1	1	NUM
ajst-28824	64	28	)	)	PUNCT
ajst-28824	64	29	where	where	SCONJ
ajst-28824	64	30	,	,	PUNCT
ajst-28824	64	31	ci	ci	PROPN
ajst-28824	64	32	is	be	AUX
ajst-28824	64	33	the	the	DET
ajst-28824	64	34	frequency	frequency	NOUN
ajst-28824	64	35	of	of	ADP
ajst-28824	64	36	codon	codon	PROPN
ajst-28824	64	37	i	i	PROPN
ajst-28824	64	38	,	,	PUNCT
ajst-28824	64	39	and	and	CCONJ
ajst-28824	64	40	n	n	PRON
ajst-28824	64	41	is	be	AUX
ajst-28824	64	42	the	the	DET
ajst-28824	64	43	total	total	ADJ
ajst-28824	64	44	number	number	NOUN
ajst-28824	64	45	of	of	ADP
ajst-28824	64	46	synonymous	synonymous	ADJ
ajst-28824	64	47	codons	codon	NOUN
ajst-28824	64	48	for	for	ADP
ajst-28824	64	49	the	the	DET
ajst-28824	64	50	amino	amino	NOUN
ajst-28824	64	51	acid	acid	NOUN
ajst-28824	64	52	.	.	PUNCT
ajst-28824	65	1	rscu	rscu	NOUN
ajst-28824	65	2	calculation	calculation	NOUN
ajst-28824	65	3	:	:	PUNCT
ajst-28824	65	4	for	for	ADP
ajst-28824	65	5	each	each	DET
ajst-28824	65	6	synonymous	synonymous	ADJ
ajst-28824	65	7	codon	codon	NOUN
ajst-28824	65	8	,	,	PUNCT
ajst-28824	65	9	the	the	DET
ajst-28824	65	10	rscu	rscu	NOUN
ajst-28824	65	11	value	value	NOUN
ajst-28824	65	12	is	be	AUX
ajst-28824	65	13	calculated	calculate	VERB
ajst-28824	65	14	using	use	VERB
ajst-28824	65	15	the	the	DET
ajst-28824	65	16	formula	formula	NOUN
ajst-28824	65	17	:	:	PUNCT
ajst-28824	65	18	𝑅𝑆𝐶𝑈	𝑅𝑆𝐶𝑈	NOUN
ajst-28824	65	19	(	(	PUNCT
ajst-28824	65	20	2	2	X
ajst-28824	65	21	)	)	PUNCT
ajst-28824	65	22	where	where	SCONJ
ajst-28824	65	23	ci	ci	PROPN
ajst-28824	65	24	is	be	AUX
ajst-28824	65	25	the	the	DET
ajst-28824	65	26	count	count	NOUN
ajst-28824	65	27	of	of	ADP
ajst-28824	65	28	codon	codon	PROPN
ajst-28824	65	29	i	i	PROPN
ajst-28824	65	30	,	,	PUNCT
ajst-28824	65	31	and	and	CCONJ
ajst-28824	65	32	ais	ais	VERB
ajst-28824	65	33	the	the	DET
ajst-28824	65	34	average	average	ADJ
ajst-28824	65	35	frequency	frequency	NOUN
ajst-28824	65	36	of	of	ADP
ajst-28824	65	37	all	all	DET
ajst-28824	65	38	synonymous	synonymous	ADJ
ajst-28824	65	39	codons	codon	NOUN
ajst-28824	65	40	for	for	ADP
ajst-28824	65	41	the	the	DET
ajst-28824	65	42	amino	amino	NOUN
ajst-28824	65	43	acid	acid	NOUN
ajst-28824	65	44	.	.	PUNCT
ajst-28824	66	1	if	if	SCONJ
ajst-28824	66	2	rscu=1	rscu=1	PROPN
ajst-28824	66	3	,	,	PUNCT
ajst-28824	66	4	the	the	DET
ajst-28824	66	5	usage	usage	NOUN
ajst-28824	66	6	of	of	ADP
ajst-28824	66	7	codon	codon	NOUN
ajst-28824	66	8	i	i	PRON
ajst-28824	66	9	is	be	AUX
ajst-28824	66	10	equal	equal	ADJ
ajst-28824	66	11	to	to	ADP
ajst-28824	66	12	the	the	DET
ajst-28824	66	13	average	average	ADJ
ajst-28824	66	14	frequency	frequency	NOUN
ajst-28824	66	15	of	of	ADP
ajst-28824	66	16	synonymous	synonymous	ADJ
ajst-28824	66	17	codons	codon	NOUN
ajst-28824	66	18	for	for	ADP
ajst-28824	66	19	that	that	DET
ajst-28824	66	20	amino	amino	NOUN
ajst-28824	66	21	acid	acid	NOUN
ajst-28824	66	22	.	.	PUNCT
ajst-28824	67	1	if	if	SCONJ
ajst-28824	67	2	rscu>1	rscu>1	PROPN
ajst-28824	67	3	,	,	PUNCT
ajst-28824	67	4	codon	codon	PROPN
ajst-28824	67	5	i	i	PRON
ajst-28824	67	6	is	be	AUX
ajst-28824	67	7	used	use	VERB
ajst-28824	67	8	more	more	ADV
ajst-28824	67	9	frequently	frequently	ADV
ajst-28824	67	10	than	than	SCONJ
ajst-28824	67	11	expected	expect	VERB
ajst-28824	67	12	,	,	PUNCT
ajst-28824	67	13	indicating	indicate	VERB
ajst-28824	67	14	a	a	DET
ajst-28824	67	15	preference	preference	NOUN
ajst-28824	67	16	for	for	ADP
ajst-28824	67	17	that	that	DET
ajst-28824	67	18	codon	codon	NOUN
ajst-28824	67	19	.	.	PUNCT
ajst-28824	68	1	if	if	SCONJ
ajst-28824	68	2	rscu<1	rscu<1	PROPN
ajst-28824	68	3	,	,	PUNCT
ajst-28824	68	4	codon	codon	PROPN
ajst-28824	68	5	i	i	PRON
ajst-28824	68	6	is	be	AUX
ajst-28824	68	7	used	use	VERB
ajst-28824	68	8	less	less	ADV
ajst-28824	68	9	frequently	frequently	ADV
ajst-28824	68	10	than	than	SCONJ
ajst-28824	68	11	expected	expect	VERB
ajst-28824	68	12	,	,	PUNCT
ajst-28824	68	13	indicating	indicate	VERB
ajst-28824	68	14	not	not	PART
ajst-28824	68	15	preference	preference	NOUN
ajst-28824	68	16	for	for	ADP
ajst-28824	68	17	that	that	DET
ajst-28824	68	18	codon	codon	NOUN
ajst-28824	68	19	.	.	PUNCT
ajst-28824	69	1	application	application	NOUN
ajst-28824	69	2	of	of	ADP
ajst-28824	69	3	rscu	rscu	NOUN
ajst-28824	69	4	in	in	ADP
ajst-28824	69	5	nucleotide	nucleotide	ADJ
ajst-28824	69	6	sequence	sequence	NOUN
ajst-28824	69	7	analysis	analysis	NOUN
ajst-28824	69	8	:	:	PUNCT
ajst-28824	69	9	by	by	ADP
ajst-28824	69	10	calculating	calculate	VERB
ajst-28824	69	11	rscu	rscu	NOUN
ajst-28824	69	12	values	value	NOUN
ajst-28824	69	13	,	,	PUNCT
ajst-28824	69	14	we	we	PRON
ajst-28824	69	15	can	can	AUX
ajst-28824	69	16	gain	gain	VERB
ajst-28824	69	17	insights	insight	NOUN
ajst-28824	69	18	into	into	ADP
ajst-28824	69	19	codon	codon	ADJ
ajst-28824	69	20	usage	usage	NOUN
ajst-28824	69	21	preferences	preference	NOUN
ajst-28824	69	22	within	within	ADP
ajst-28824	69	23	nucleotide	nucleotide	ADJ
ajst-28824	69	24	sequences	sequence	NOUN
ajst-28824	69	25	.	.	PUNCT
ajst-28824	70	1	rscu	rscu	NOUN
ajst-28824	70	2	encoding	encoding	NOUN
ajst-28824	70	3	is	be	AUX
ajst-28824	70	4	a	a	DET
ajst-28824	70	5	powerful	powerful	ADJ
ajst-28824	70	6	tool	tool	NOUN
ajst-28824	70	7	for	for	ADP
ajst-28824	70	8	characterizing	characterize	VERB
ajst-28824	70	9	sequence	sequence	NOUN
ajst-28824	70	10	features	feature	NOUN
ajst-28824	70	11	,	,	PUNCT
ajst-28824	70	12	revealing	reveal	VERB
ajst-28824	70	13	codon	codon	ADJ
ajst-28824	70	14	usage	usage	NOUN
ajst-28824	70	15	patterns	pattern	NOUN
ajst-28824	70	16	in	in	ADP
ajst-28824	70	17	different	different	ADJ
ajst-28824	70	18	genes	gene	NOUN
ajst-28824	70	19	or	or	CCONJ
ajst-28824	70	20	viral	viral	ADJ
ajst-28824	70	21	genomes	genome	NOUN
ajst-28824	70	22	.	.	PUNCT
ajst-28824	71	1	this	this	DET
ajst-28824	71	2	method	method	NOUN
ajst-28824	71	3	has	have	VERB
ajst-28824	71	4	wide	wide	ADJ
ajst-28824	71	5	applications	application	NOUN
ajst-28824	71	6	in	in	ADP
ajst-28824	71	7	genomic	genomic	ADJ
ajst-28824	71	8	classification	classification	NOUN
ajst-28824	71	9	,	,	PUNCT
ajst-28824	71	10	functional	functional	ADJ
ajst-28824	71	11	prediction	prediction	NOUN
ajst-28824	71	12	,	,	PUNCT
ajst-28824	71	13	and	and	CCONJ
ajst-28824	71	14	gene	gene	NOUN
ajst-28824	71	15	expression	expression	NOUN
ajst-28824	71	16	analysis	analysis	NOUN
ajst-28824	71	17	.	.	PUNCT
ajst-28824	72	1	for	for	ADP
ajst-28824	72	2	instance	instance	NOUN
ajst-28824	72	3	,	,	PUNCT
ajst-28824	72	4	extracting	extract	VERB
ajst-28824	72	5	rscu	rscu	NOUN
ajst-28824	72	6	features	feature	NOUN
ajst-28824	72	7	from	from	ADP
ajst-28824	72	8	the	the	DET
ajst-28824	72	9	sarscov-2	sarscov-2	NUM
ajst-28824	72	10	or	or	CCONJ
ajst-28824	72	11	other	other	ADJ
ajst-28824	72	12	viral	viral	ADJ
ajst-28824	72	13	genomes	genome	NOUN
ajst-28824	72	14	allows	allow	VERB
ajst-28824	72	15	for	for	ADP
ajst-28824	72	16	the	the	DET
ajst-28824	72	17	identification	identification	NOUN
ajst-28824	72	18	of	of	ADP
ajst-28824	72	19	potential	potential	ADJ
ajst-28824	72	20	codon	codon	NOUN
ajst-28824	72	21	usage	usage	NOUN
ajst-28824	72	22	patterns	pattern	NOUN
ajst-28824	72	23	and	and	CCONJ
ajst-28824	72	24	evolutionary	evolutionary	ADJ
ajst-28824	72	25	trends	trend	NOUN
ajst-28824	72	26	,	,	PUNCT
ajst-28824	72	27	providing	provide	VERB
ajst-28824	72	28	valuable	valuable	ADJ
ajst-28824	72	29	input	input	NOUN
ajst-28824	72	30	for	for	ADP
ajst-28824	72	31	subsequent	subsequent	ADJ
ajst-28824	72	32	machine	machine	NOUN
ajst-28824	72	33	learning	learn	VERB
ajst-28824	72	34	336	336	NUM
ajst-28824	72	35	analyses	analysis	NOUN
ajst-28824	72	36	.	.	PUNCT
ajst-28824	73	1	2.3	2.3	NUM
ajst-28824	73	2	.	.	PUNCT
ajst-28824	74	1	k	k	X
ajst-28824	74	2	-	-	PUNCT
ajst-28824	74	3	mer	mer	NOUN
ajst-28824	74	4	in	in	ADP
ajst-28824	74	5	this	this	DET
ajst-28824	74	6	study	study	NOUN
ajst-28824	74	7	,	,	PUNCT
ajst-28824	74	8	we	we	PRON
ajst-28824	74	9	employed	employ	VERB
ajst-28824	74	10	the	the	DET
ajst-28824	74	11	k	k	PROPN
ajst-28824	74	12	-	-	PUNCT
ajst-28824	74	13	mer	mer	PROPN
ajst-28824	74	14	encoding	encoding	NOUN
ajst-28824	74	15	method	method	NOUN
ajst-28824	74	16	for	for	ADP
ajst-28824	74	17	feature	feature	NOUN
ajst-28824	74	18	extraction	extraction	NOUN
ajst-28824	74	19	from	from	ADP
ajst-28824	74	20	nucleotide	nucleotide	ADJ
ajst-28824	74	21	sequences	sequence	NOUN
ajst-28824	74	22	.	.	PUNCT
ajst-28824	75	1	the	the	DET
ajst-28824	75	2	k	k	PROPN
ajst-28824	75	3	-	-	PUNCT
ajst-28824	75	4	mer	mer	NOUN
ajst-28824	75	5	approach	approach	NOUN
ajst-28824	75	6	is	be	AUX
ajst-28824	75	7	commonly	commonly	ADV
ajst-28824	75	8	used	use	VERB
ajst-28824	75	9	in	in	ADP
ajst-28824	75	10	bioinformatics	bioinformatics	NOUN
ajst-28824	75	11	to	to	PART
ajst-28824	75	12	analyze	analyze	VERB
ajst-28824	75	13	sequences	sequence	NOUN
ajst-28824	75	14	by	by	ADP
ajst-28824	75	15	dividing	divide	VERB
ajst-28824	75	16	them	they	PRON
ajst-28824	75	17	into	into	ADP
ajst-28824	75	18	overlapping	overlap	VERB
ajst-28824	75	19	substrings	substring	NOUN
ajst-28824	75	20	of	of	ADP
ajst-28824	75	21	length	length	NOUN
ajst-28824	75	22	k.	k.	PROPN
ajst-28824	76	1	each	each	DET
ajst-28824	76	2	k	k	PROPN
ajst-28824	76	3	-	-	PUNCT
ajst-28824	76	4	mer	mer	NOUN
ajst-28824	76	5	serves	serve	VERB
ajst-28824	76	6	as	as	ADP
ajst-28824	76	7	a	a	DET
ajst-28824	76	8	fundamental	fundamental	ADJ
ajst-28824	76	9	unit	unit	NOUN
ajst-28824	76	10	for	for	ADP
ajst-28824	76	11	capturing	capture	VERB
ajst-28824	76	12	sequence	sequence	NOUN
ajst-28824	76	13	motifs	motif	NOUN
ajst-28824	76	14	and	and	CCONJ
ajst-28824	76	15	can	can	AUX
ajst-28824	76	16	be	be	AUX
ajst-28824	76	17	used	use	VERB
ajst-28824	76	18	to	to	PART
ajst-28824	76	19	characterize	characterize	VERB
ajst-28824	76	20	sequence	sequence	NOUN
ajst-28824	76	21	patterns	pattern	NOUN
ajst-28824	76	22	,	,	PUNCT
ajst-28824	76	23	functional	functional	ADJ
ajst-28824	76	24	regions	region	NOUN
ajst-28824	76	25	,	,	PUNCT
ajst-28824	76	26	or	or	CCONJ
ajst-28824	76	27	evolutionary	evolutionary	ADJ
ajst-28824	76	28	trends	trend	NOUN
ajst-28824	76	29	.	.	PUNCT
ajst-28824	77	1	the	the	DET
ajst-28824	77	2	k	k	PROPN
ajst-28824	77	3	-	-	PUNCT
ajst-28824	77	4	mer	mer	PROPN
ajst-28824	77	5	encoding	encoding	NOUN
ajst-28824	77	6	method	method	NOUN
ajst-28824	77	7	involves	involve	VERB
ajst-28824	77	8	dividing	divide	VERB
ajst-28824	77	9	a	a	DET
ajst-28824	77	10	nucleotide	nucleotide	ADJ
ajst-28824	77	11	sequence	sequence	NOUN
ajst-28824	77	12	into	into	ADP
ajst-28824	77	13	overlapping	overlap	VERB
ajst-28824	77	14	subsequences	subsequence	NOUN
ajst-28824	77	15	of	of	ADP
ajst-28824	77	16	length	length	NOUN
ajst-28824	77	17	k	k	PROPN
ajst-28824	77	18	(	(	PUNCT
ajst-28824	77	19	where	where	SCONJ
ajst-28824	77	20	k	k	PROPN
ajst-28824	77	21	is	be	AUX
ajst-28824	77	22	a	a	DET
ajst-28824	77	23	positive	positive	ADJ
ajst-28824	77	24	integer	integer	NOUN
ajst-28824	77	25	)	)	PUNCT
ajst-28824	77	26	.	.	PUNCT
ajst-28824	78	1	this	this	DET
ajst-28824	78	2	approach	approach	NOUN
ajst-28824	78	3	captures	capture	VERB
ajst-28824	78	4	sequence	sequence	NOUN
ajst-28824	78	5	patterns	pattern	NOUN
ajst-28824	78	6	that	that	PRON
ajst-28824	78	7	may	may	AUX
ajst-28824	78	8	be	be	AUX
ajst-28824	78	9	indicative	indicative	ADJ
ajst-28824	78	10	of	of	ADP
ajst-28824	78	11	functional	functional	ADJ
ajst-28824	78	12	or	or	CCONJ
ajst-28824	78	13	structural	structural	ADJ
ajst-28824	78	14	characteristics	characteristic	NOUN
ajst-28824	78	15	.	.	PUNCT
ajst-28824	79	1	below	below	ADV
ajst-28824	79	2	is	be	AUX
ajst-28824	79	3	the	the	DET
ajst-28824	79	4	process	process	NOUN
ajst-28824	79	5	of	of	ADP
ajst-28824	79	6	computing	compute	VERB
ajst-28824	79	7	k	k	PROPN
ajst-28824	79	8	-	-	PUNCT
ajst-28824	79	9	mer	mer	NOUN
ajst-28824	79	10	frequencies	frequency	NOUN
ajst-28824	79	11	:	:	PUNCT
ajst-28824	79	12	generate	generate	VERB
ajst-28824	79	13	k	k	NOUN
ajst-28824	79	14	-	-	PUNCT
ajst-28824	79	15	mers	mer	NOUN
ajst-28824	79	16	:	:	PUNCT
ajst-28824	79	17	for	for	ADP
ajst-28824	79	18	a	a	DET
ajst-28824	79	19	given	give	VERB
ajst-28824	79	20	nucleotide	nucleotide	ADJ
ajst-28824	79	21	sequence	sequence	NOUN
ajst-28824	79	22	,	,	PUNCT
ajst-28824	79	23	generate	generate	VERB
ajst-28824	79	24	all	all	DET
ajst-28824	79	25	possible	possible	ADJ
ajst-28824	79	26	contiguous	contiguous	ADJ
ajst-28824	79	27	subsequences	subsequence	NOUN
ajst-28824	79	28	of	of	ADP
ajst-28824	79	29	length	length	NOUN
ajst-28824	79	30	k.	k.	PROPN
ajst-28824	79	31	for	for	ADP
ajst-28824	79	32	example	example	NOUN
ajst-28824	79	33	,	,	PUNCT
ajst-28824	79	34	for	for	ADP
ajst-28824	79	35	a	a	DET
ajst-28824	79	36	sequence	sequence	NOUN
ajst-28824	79	37	"	"	PUNCT
ajst-28824	79	38	agctt	agctt	NOUN
ajst-28824	79	39	"	"	PUNCT
ajst-28824	79	40	,	,	PUNCT
ajst-28824	79	41	and	and	CCONJ
ajst-28824	79	42	k	k	X
ajst-28824	79	43	=	=	SYM
ajst-28824	79	44	2	2	NUM
ajst-28824	79	45	,	,	PUNCT
ajst-28824	79	46	the	the	DET
ajst-28824	79	47	possible	possible	ADJ
ajst-28824	79	48	2	2	NUM
ajst-28824	79	49	-	-	PUNCT
ajst-28824	79	50	mers	mer	NOUN
ajst-28824	79	51	are:"ag	are:"ag	PROPN
ajst-28824	79	52	"	"	PUNCT
ajst-28824	79	53	,	,	PUNCT
ajst-28824	79	54	"	"	PUNCT
ajst-28824	79	55	gc	gc	PROPN
ajst-28824	79	56	"	"	PUNCT
ajst-28824	79	57	,	,	PUNCT
ajst-28824	79	58	"	"	PUNCT
ajst-28824	79	59	ct	ct	NOUN
ajst-28824	79	60	"	"	PUNCT
ajst-28824	79	61	,	,	PUNCT
ajst-28824	79	62	"	"	PUNCT
ajst-28824	79	63	tt	tt	NOUN
ajst-28824	79	64	"	"	PUNCT
ajst-28824	79	65	.	.	PUNCT
ajst-28824	80	1	count	count	VERB
ajst-28824	80	2	the	the	DET
ajst-28824	80	3	frequency	frequency	NOUN
ajst-28824	80	4	of	of	ADP
ajst-28824	80	5	each	each	DET
ajst-28824	80	6	k	k	PROPN
ajst-28824	80	7	-	-	PUNCT
ajst-28824	80	8	mer	mer	NOUN
ajst-28824	80	9	:	:	PUNCT
ajst-28824	80	10	next	next	ADV
ajst-28824	80	11	,	,	PUNCT
ajst-28824	80	12	we	we	PRON
ajst-28824	80	13	count	count	VERB
ajst-28824	80	14	how	how	SCONJ
ajst-28824	80	15	many	many	ADJ
ajst-28824	80	16	times	time	NOUN
ajst-28824	80	17	each	each	DET
ajst-28824	80	18	unique	unique	ADJ
ajst-28824	80	19	k	k	PROPN
ajst-28824	80	20	-	-	PUNCT
ajst-28824	80	21	mer	mer	NOUN
ajst-28824	80	22	appears	appear	VERB
ajst-28824	80	23	in	in	ADP
ajst-28824	80	24	the	the	DET
ajst-28824	80	25	given	give	VERB
ajst-28824	80	26	sequence	sequence	NOUN
ajst-28824	80	27	.	.	PUNCT
ajst-28824	81	1	the	the	DET
ajst-28824	81	2	frequency	frequency	NOUN
ajst-28824	81	3	of	of	ADP
ajst-28824	81	4	each	each	DET
ajst-28824	81	5	k	k	NOUN
ajst-28824	81	6	-	-	PUNCT
ajst-28824	81	7	mer	mer	PROPN
ajst-28824	81	8	is	be	AUX
ajst-28824	81	9	recorded	record	VERB
ajst-28824	81	10	in	in	ADP
ajst-28824	81	11	a	a	DET
ajst-28824	81	12	frequency	frequency	NOUN
ajst-28824	81	13	vector	vector	NOUN
ajst-28824	81	14	.	.	PUNCT
ajst-28824	82	1	for	for	ADP
ajst-28824	82	2	example	example	NOUN
ajst-28824	82	3	,	,	PUNCT
ajst-28824	82	4	in	in	ADP
ajst-28824	82	5	the	the	DET
ajst-28824	82	6	sequence	sequence	NOUN
ajst-28824	82	7	"	"	PUNCT
ajst-28824	82	8	agctt	agctt	NOUN
ajst-28824	82	9	"	"	PUNCT
ajst-28824	82	10	,	,	PUNCT
ajst-28824	82	11	the	the	DET
ajst-28824	82	12	2	2	NUM
ajst-28824	82	13	-	-	PUNCT
ajst-28824	82	14	mers	mer	NOUN
ajst-28824	82	15	may	may	AUX
ajst-28824	82	16	have	have	VERB
ajst-28824	82	17	the	the	DET
ajst-28824	82	18	following	follow	VERB
ajst-28824	82	19	frequencies	frequency	NOUN
ajst-28824	82	20	:	:	PUNCT
ajst-28824	82	21	"	"	PUNCT
ajst-28824	82	22	ag	ag	PROPN
ajst-28824	82	23	"	"	PUNCT
ajst-28824	82	24	:	:	PUNCT
ajst-28824	82	25	1	1	NUM
ajst-28824	82	26	"	"	PUNCT
ajst-28824	82	27	gc	gc	PROPN
ajst-28824	82	28	"	"	PUNCT
ajst-28824	82	29	:	:	PUNCT
ajst-28824	82	30	1	1	NUM
ajst-28824	82	31	"	"	PUNCT
ajst-28824	82	32	ct	ct	NOUN
ajst-28824	82	33	"	"	PUNCT
ajst-28824	82	34	:	:	PUNCT
ajst-28824	82	35	1	1	NUM
ajst-28824	82	36	"	"	PUNCT
ajst-28824	82	37	tt	tt	INTJ
ajst-28824	82	38	"	"	PUNCT
ajst-28824	82	39	:	:	PUNCT
ajst-28824	82	40	1	1	NUM
ajst-28824	82	41	normalize	normalize	VERB
ajst-28824	82	42	the	the	DET
ajst-28824	82	43	k	k	PROPN
ajst-28824	82	44	-	-	PUNCT
ajst-28824	82	45	mer	mer	NOUN
ajst-28824	82	46	frequencies	frequency	NOUN
ajst-28824	82	47	:	:	PUNCT
ajst-28824	82	48	to	to	PART
ajst-28824	82	49	make	make	VERB
ajst-28824	82	50	the	the	DET
ajst-28824	82	51	k	k	ADJ
ajst-28824	82	52	-	-	PUNCT
ajst-28824	82	53	mer	mer	NOUN
ajst-28824	82	54	frequencies	frequency	NOUN
ajst-28824	82	55	comparable	comparable	ADJ
ajst-28824	82	56	across	across	ADP
ajst-28824	82	57	different	different	ADJ
ajst-28824	82	58	sequences	sequence	NOUN
ajst-28824	82	59	,	,	PUNCT
ajst-28824	82	60	we	we	PRON
ajst-28824	82	61	often	often	ADV
ajst-28824	82	62	normalize	normalize	VERB
ajst-28824	82	63	them	they	PRON
ajst-28824	82	64	.	.	PUNCT
ajst-28824	83	1	one	one	NUM
ajst-28824	83	2	common	common	ADJ
ajst-28824	83	3	approach	approach	NOUN
ajst-28824	83	4	is	be	AUX
ajst-28824	83	5	to	to	PART
ajst-28824	83	6	divide	divide	VERB
ajst-28824	83	7	the	the	DET
ajst-28824	83	8	frequency	frequency	NOUN
ajst-28824	83	9	of	of	ADP
ajst-28824	83	10	each	each	DET
ajst-28824	83	11	k	k	NOUN
ajst-28824	83	12	-	-	PUNCT
ajst-28824	83	13	mer	mer	NOUN
ajst-28824	83	14	by	by	ADP
ajst-28824	83	15	the	the	DET
ajst-28824	83	16	total	total	ADJ
ajst-28824	83	17	number	number	NOUN
ajst-28824	83	18	of	of	ADP
ajst-28824	83	19	possible	possible	ADJ
ajst-28824	83	20	kmers	kmer	NOUN
ajst-28824	83	21	in	in	ADP
ajst-28824	83	22	the	the	DET
ajst-28824	83	23	sequence	sequence	NOUN
ajst-28824	83	24	.	.	PUNCT
ajst-28824	84	1	this	this	DET
ajst-28824	84	2	yields	yield	VERB
ajst-28824	84	3	a	a	DET
ajst-28824	84	4	normalized	normalized	ADJ
ajst-28824	84	5	k	k	ADJ
ajst-28824	84	6	-	-	PUNCT
ajst-28824	84	7	mer	mer	NOUN
ajst-28824	84	8	frequency	frequency	NOUN
ajst-28824	84	9	that	that	PRON
ajst-28824	84	10	reflects	reflect	VERB
ajst-28824	84	11	the	the	DET
ajst-28824	84	12	relative	relative	ADJ
ajst-28824	84	13	abundance	abundance	NOUN
ajst-28824	84	14	of	of	ADP
ajst-28824	84	15	each	each	DET
ajst-28824	84	16	k	k	PROPN
ajst-28824	84	17	-	-	PUNCT
ajst-28824	84	18	mer	mer	NOUN
ajst-28824	84	19	within	within	ADP
ajst-28824	84	20	the	the	DET
ajst-28824	84	21	sequence	sequence	NOUN
ajst-28824	84	22	.	.	PUNCT
ajst-28824	85	1	alternatively	alternatively	ADV
ajst-28824	85	2	,	,	PUNCT
ajst-28824	85	3	other	other	ADJ
ajst-28824	85	4	normalization	normalization	NOUN
ajst-28824	85	5	techniques	technique	NOUN
ajst-28824	85	6	like	like	ADP
ajst-28824	85	7	z	z	NOUN
ajst-28824	85	8	-	-	PUNCT
ajst-28824	85	9	score	score	NOUN
ajst-28824	85	10	normalization	normalization	NOUN
ajst-28824	85	11	or	or	CCONJ
ajst-28824	85	12	logarithmic	logarithmic	ADJ
ajst-28824	85	13	transformation	transformation	NOUN
ajst-28824	85	14	can	can	AUX
ajst-28824	85	15	be	be	AUX
ajst-28824	85	16	used	use	VERB
ajst-28824	85	17	.	.	PUNCT
ajst-28824	86	1	construct	construct	VERB
ajst-28824	86	2	the	the	DET
ajst-28824	86	3	k	k	PROPN
ajst-28824	86	4	-	-	PUNCT
ajst-28824	86	5	mer	mer	PROPN
ajst-28824	86	6	vector	vector	NOUN
ajst-28824	86	7	:	:	PUNCT
ajst-28824	86	8	the	the	DET
ajst-28824	86	9	frequency	frequency	NOUN
ajst-28824	86	10	or	or	CCONJ
ajst-28824	86	11	normalized	normalize	VERB
ajst-28824	86	12	frequency	frequency	NOUN
ajst-28824	86	13	of	of	ADP
ajst-28824	86	14	each	each	DET
ajst-28824	86	15	possible	possible	ADJ
ajst-28824	86	16	k	k	PROPN
ajst-28824	86	17	-	-	PUNCT
ajst-28824	86	18	mer	mer	X
ajst-28824	86	19	(	(	PUNCT
ajst-28824	86	20	from	from	ADP
ajst-28824	86	21	all	all	DET
ajst-28824	86	22	possible	possible	ADJ
ajst-28824	86	23	nucleotide	nucleotide	NOUN
ajst-28824	86	24	combinations	combination	NOUN
ajst-28824	86	25	of	of	ADP
ajst-28824	86	26	length	length	NOUN
ajst-28824	86	27	k	k	PROPN
ajst-28824	86	28	)	)	PUNCT
ajst-28824	86	29	is	be	AUX
ajst-28824	86	30	stored	store	VERB
ajst-28824	86	31	in	in	ADP
ajst-28824	86	32	a	a	DET
ajst-28824	86	33	vector	vector	NOUN
ajst-28824	86	34	.	.	PUNCT
ajst-28824	87	1	this	this	DET
ajst-28824	87	2	vector	vector	NOUN
ajst-28824	87	3	represents	represent	VERB
ajst-28824	87	4	the	the	DET
ajst-28824	87	5	sequence	sequence	NOUN
ajst-28824	87	6	in	in	ADP
ajst-28824	87	7	terms	term	NOUN
ajst-28824	87	8	of	of	ADP
ajst-28824	87	9	the	the	DET
ajst-28824	87	10	presence	presence	NOUN
ajst-28824	87	11	or	or	CCONJ
ajst-28824	87	12	absence	absence	NOUN
ajst-28824	87	13	,	,	PUNCT
ajst-28824	87	14	as	as	ADV
ajst-28824	87	15	well	well	ADV
ajst-28824	87	16	as	as	ADP
ajst-28824	87	17	the	the	DET
ajst-28824	87	18	frequency	frequency	NOUN
ajst-28824	87	19	,	,	PUNCT
ajst-28824	87	20	of	of	ADP
ajst-28824	87	21	each	each	DET
ajst-28824	87	22	k	k	PROPN
ajst-28824	87	23	-	-	PUNCT
ajst-28824	87	24	mer	mer	PROPN
ajst-28824	87	25	.	.	PROPN
ajst-28824	87	26	for	for	ADP
ajst-28824	87	27	example	example	NOUN
ajst-28824	87	28	,	,	PUNCT
ajst-28824	87	29	for	for	ADP
ajst-28824	87	30	k	k	PROPN
ajst-28824	87	31	=	=	SYM
ajst-28824	87	32	2	2	NUM
ajst-28824	87	33	,	,	PUNCT
ajst-28824	87	34	the	the	DET
ajst-28824	87	35	k	k	PROPN
ajst-28824	87	36	-	-	PUNCT
ajst-28824	87	37	mer	mer	NOUN
ajst-28824	87	38	vector	vector	NOUN
ajst-28824	87	39	would	would	AUX
ajst-28824	87	40	contain	contain	VERB
ajst-28824	87	41	the	the	DET
ajst-28824	87	42	frequencies	frequency	NOUN
ajst-28824	87	43	of	of	ADP
ajst-28824	87	44	all	all	DET
ajst-28824	87	45	possible	possible	ADJ
ajst-28824	87	46	2	2	NUM
ajst-28824	87	47	-	-	PUNCT
ajst-28824	87	48	mers	mer	NOUN
ajst-28824	87	49	(	(	PUNCT
ajst-28824	87	50	e.g.	e.g.	ADV
ajst-28824	87	51	,	,	PUNCT
ajst-28824	87	52	"	"	PUNCT
ajst-28824	87	53	aa	aa	INTJ
ajst-28824	87	54	"	"	PUNCT
ajst-28824	87	55	,	,	PUNCT
ajst-28824	87	56	"	"	PUNCT
ajst-28824	87	57	ac	ac	PROPN
ajst-28824	87	58	"	"	PUNCT
ajst-28824	87	59	,	,	PUNCT
ajst-28824	87	60	"	"	PUNCT
ajst-28824	87	61	ag	ag	PROPN
ajst-28824	87	62	"	"	PUNCT
ajst-28824	87	63	,	,	PUNCT
ajst-28824	87	64	"	"	PUNCT
ajst-28824	87	65	at	at	ADP
ajst-28824	87	66	"	"	PUNCT
ajst-28824	87	67	,	,	PUNCT
ajst-28824	87	68	...	...	PUNCT
ajst-28824	87	69	,	,	PUNCT
ajst-28824	87	70	"	"	PUNCT
ajst-28824	87	71	tt	tt	NOUN
ajst-28824	87	72	"	"	PUNCT
ajst-28824	87	73	)	)	PUNCT
ajst-28824	87	74	.	.	PUNCT
ajst-28824	88	1	2.4	2.4	NUM
ajst-28824	88	2	.	.	PUNCT
ajst-28824	89	1	support	support	NOUN
ajst-28824	89	2	vector	vector	NOUN
ajst-28824	89	3	machine	machine	NOUN
ajst-28824	89	4	in	in	ADP
ajst-28824	89	5	this	this	DET
ajst-28824	89	6	study	study	NOUN
ajst-28824	89	7	,	,	PUNCT
ajst-28824	89	8	we	we	PRON
ajst-28824	89	9	chose	choose	VERB
ajst-28824	89	10	the	the	DET
ajst-28824	89	11	support	support	NOUN
ajst-28824	89	12	vector	vector	NOUN
ajst-28824	89	13	machine	machine	NOUN
ajst-28824	89	14	(	(	PUNCT
ajst-28824	89	15	svm	svm	ADJ
ajst-28824	89	16	)	)	PUNCT
ajst-28824	89	17	algorithm	algorithm	NOUN
ajst-28824	89	18	as	as	ADP
ajst-28824	89	19	the	the	DET
ajst-28824	89	20	classification	classification	NOUN
ajst-28824	89	21	method	method	NOUN
ajst-28824	89	22	to	to	PART
ajst-28824	89	23	train	train	VERB
ajst-28824	89	24	and	and	CCONJ
ajst-28824	89	25	predict	predict	VERB
ajst-28824	89	26	the	the	DET
ajst-28824	89	27	sars	sar	NOUN
ajst-28824	89	28	-	-	PUNCT
ajst-28824	89	29	cov-2	cov-2	NOUN
ajst-28824	89	30	sequences	sequence	NOUN
ajst-28824	89	31	encoded	encode	VERB
ajst-28824	89	32	[	[	PUNCT
ajst-28824	89	33	23	23	NUM
ajst-28824	89	34	]	]	PUNCT
ajst-28824	89	35	.	.	PUNCT
ajst-28824	90	1	svm	svm	PROPN
ajst-28824	90	2	is	be	AUX
ajst-28824	90	3	a	a	DET
ajst-28824	90	4	widely	widely	ADV
ajst-28824	90	5	used	use	VERB
ajst-28824	90	6	supervised	supervised	ADJ
ajst-28824	90	7	learning	learn	VERB
ajst-28824	90	8	algorithm	algorithm	NOUN
ajst-28824	90	9	for	for	ADP
ajst-28824	90	10	pattern	pattern	NOUN
ajst-28824	90	11	recognition	recognition	NOUN
ajst-28824	90	12	,	,	PUNCT
ajst-28824	90	13	regression	regression	VERB
ajst-28824	90	14	analysis	analysis	NOUN
ajst-28824	90	15	,	,	PUNCT
ajst-28824	90	16	and	and	CCONJ
ajst-28824	90	17	classification	classification	NOUN
ajst-28824	90	18	tasks	task	NOUN
ajst-28824	90	19	[	[	X
ajst-28824	90	20	24	24	NUM
ajst-28824	90	21	]	]	PUNCT
ajst-28824	90	22	.	.	PUNCT
ajst-28824	91	1	it	it	PRON
ajst-28824	91	2	is	be	AUX
ajst-28824	91	3	particularly	particularly	ADV
ajst-28824	91	4	effective	effective	ADJ
ajst-28824	91	5	at	at	ADP
ajst-28824	91	6	handling	handle	VERB
ajst-28824	91	7	high	high	ADJ
ajst-28824	91	8	-	-	PUNCT
ajst-28824	91	9	dimensional	dimensional	ADJ
ajst-28824	91	10	data	datum	NOUN
ajst-28824	91	11	and	and	CCONJ
ajst-28824	91	12	has	have	AUX
ajst-28824	91	13	demonstrated	demonstrate	VERB
ajst-28824	91	14	excellent	excellent	ADJ
ajst-28824	91	15	performance	performance	NOUN
ajst-28824	91	16	in	in	ADP
ajst-28824	91	17	various	various	ADJ
ajst-28824	91	18	practical	practical	ADJ
ajst-28824	91	19	applications	application	NOUN
ajst-28824	91	20	[	[	X
ajst-28824	91	21	25	25	NUM
ajst-28824	91	22	]	]	PUNCT
ajst-28824	91	23	.	.	PUNCT
ajst-28824	92	1	the	the	DET
ajst-28824	92	2	fundamental	fundamental	ADJ
ajst-28824	92	3	idea	idea	NOUN
ajst-28824	92	4	behind	behind	ADP
ajst-28824	92	5	svm	svm	PROPN
ajst-28824	92	6	is	be	AUX
ajst-28824	92	7	to	to	PART
ajst-28824	92	8	find	find	VERB
ajst-28824	92	9	an	an	DET
ajst-28824	92	10	optimal	optimal	ADJ
ajst-28824	92	11	hyperplane	hyperplane	NOUN
ajst-28824	92	12	in	in	ADP
ajst-28824	92	13	the	the	DET
ajst-28824	92	14	feature	feature	NOUN
ajst-28824	92	15	space	space	NOUN
ajst-28824	92	16	that	that	PRON
ajst-28824	92	17	maximally	maximally	ADV
ajst-28824	92	18	separates	separate	VERB
ajst-28824	92	19	samples	sample	NOUN
ajst-28824	92	20	of	of	ADP
ajst-28824	92	21	different	different	ADJ
ajst-28824	92	22	classes	class	NOUN
ajst-28824	92	23	.	.	PUNCT
ajst-28824	93	1	to	to	PART
ajst-28824	93	2	achieve	achieve	VERB
ajst-28824	93	3	this	this	PRON
ajst-28824	93	4	,	,	PUNCT
ajst-28824	93	5	svm	svm	PROPN
ajst-28824	93	6	aims	aim	VERB
ajst-28824	93	7	to	to	PART
ajst-28824	93	8	identify	identify	VERB
ajst-28824	93	9	a	a	DET
ajst-28824	93	10	separating	separate	VERB
ajst-28824	93	11	hyperplane	hyperplane	NOUN
ajst-28824	93	12	that	that	PRON
ajst-28824	93	13	maximizes	maximize	VERB
ajst-28824	93	14	the	the	DET
ajst-28824	93	15	margin	margin	NOUN
ajst-28824	93	16	,	,	PUNCT
ajst-28824	93	17	which	which	PRON
ajst-28824	93	18	is	be	AUX
ajst-28824	93	19	the	the	DET
ajst-28824	93	20	distance	distance	NOUN
ajst-28824	93	21	between	between	ADP
ajst-28824	93	22	the	the	DET
ajst-28824	93	23	hyperplane	hyperplane	NOUN
ajst-28824	93	24	and	and	CCONJ
ajst-28824	93	25	the	the	DET
ajst-28824	93	26	closest	close	ADJ
ajst-28824	93	27	positive	positive	ADJ
ajst-28824	93	28	and	and	CCONJ
ajst-28824	93	29	negative	negative	ADJ
ajst-28824	93	30	sample	sample	NOUN
ajst-28824	93	31	points	point	NOUN
ajst-28824	93	32	.	.	PUNCT
ajst-28824	94	1	this	this	DET
ajst-28824	94	2	margin	margin	NOUN
ajst-28824	94	3	maximization	maximization	NOUN
ajst-28824	94	4	enhances	enhance	VERB
ajst-28824	94	5	the	the	DET
ajst-28824	94	6	model	model	NOUN
ajst-28824	94	7	's	's	PART
ajst-28824	94	8	generalization	generalization	NOUN
ajst-28824	94	9	ability	ability	NOUN
ajst-28824	94	10	,	,	PUNCT
ajst-28824	94	11	resulting	result	VERB
ajst-28824	94	12	in	in	ADP
ajst-28824	94	13	higher	high	ADJ
ajst-28824	94	14	prediction	prediction	NOUN
ajst-28824	94	15	accuracy	accuracy	NOUN
ajst-28824	94	16	on	on	ADP
ajst-28824	94	17	unseen	unseen	ADJ
ajst-28824	94	18	data.in	data.in	X
ajst-28824	94	19	svm	svm	PROPN
ajst-28824	94	20	,	,	PUNCT
ajst-28824	94	21	the	the	DET
ajst-28824	94	22	samples	sample	NOUN
ajst-28824	94	23	closest	close	ADJ
ajst-28824	94	24	to	to	ADP
ajst-28824	94	25	the	the	DET
ajst-28824	94	26	hyperplane	hyperplane	NOUN
ajst-28824	94	27	are	be	AUX
ajst-28824	94	28	called	call	VERB
ajst-28824	94	29	support	support	NOUN
ajst-28824	94	30	vectors	vector	NOUN
ajst-28824	94	31	.	.	PUNCT
ajst-28824	95	1	these	these	DET
ajst-28824	95	2	support	support	NOUN
ajst-28824	95	3	vectors	vector	NOUN
ajst-28824	95	4	play	play	VERB
ajst-28824	95	5	a	a	DET
ajst-28824	95	6	crucial	crucial	ADJ
ajst-28824	95	7	role	role	NOUN
ajst-28824	95	8	in	in	ADP
ajst-28824	95	9	defining	define	VERB
ajst-28824	95	10	the	the	DET
ajst-28824	95	11	position	position	NOUN
ajst-28824	95	12	and	and	CCONJ
ajst-28824	95	13	orientation	orientation	NOUN
ajst-28824	95	14	of	of	ADP
ajst-28824	95	15	the	the	DET
ajst-28824	95	16	hyperplane	hyperplane	NOUN
ajst-28824	95	17	.	.	PUNCT
ajst-28824	96	1	they	they	PRON
ajst-28824	96	2	are	be	AUX
ajst-28824	96	3	the	the	DET
ajst-28824	96	4	most	most	ADV
ajst-28824	96	5	critical	critical	ADJ
ajst-28824	96	6	samples	sample	NOUN
ajst-28824	96	7	in	in	ADP
ajst-28824	96	8	the	the	DET
ajst-28824	96	9	training	training	NOUN
ajst-28824	96	10	process	process	NOUN
ajst-28824	96	11	,	,	PUNCT
ajst-28824	96	12	as	as	SCONJ
ajst-28824	96	13	they	they	PRON
ajst-28824	96	14	directly	directly	ADV
ajst-28824	96	15	influence	influence	VERB
ajst-28824	96	16	the	the	DET
ajst-28824	96	17	final	final	ADJ
ajst-28824	96	18	placement	placement	NOUN
ajst-28824	96	19	of	of	ADP
ajst-28824	96	20	the	the	DET
ajst-28824	96	21	separating	separate	VERB
ajst-28824	96	22	hyperplane	hyperplane	NOUN
ajst-28824	96	23	.	.	PUNCT
ajst-28824	97	1	by	by	ADP
ajst-28824	97	2	optimizing	optimize	VERB
ajst-28824	97	3	the	the	DET
ajst-28824	97	4	objective	objective	ADJ
ajst-28824	97	5	function	function	NOUN
ajst-28824	97	6	of	of	ADP
ajst-28824	97	7	svm	svm	PROPN
ajst-28824	97	8	,	,	PUNCT
ajst-28824	97	9	the	the	DET
ajst-28824	97	10	algorithm	algorithm	NOUN
ajst-28824	97	11	can	can	AUX
ajst-28824	97	12	effectively	effectively	ADV
ajst-28824	97	13	determine	determine	VERB
ajst-28824	97	14	the	the	DET
ajst-28824	97	15	optimal	optimal	ADJ
ajst-28824	97	16	separating	separate	VERB
ajst-28824	97	17	hyperplane	hyperplane	NOUN
ajst-28824	97	18	while	while	SCONJ
ajst-28824	97	19	maximizing	maximize	VERB
ajst-28824	97	20	the	the	DET
ajst-28824	97	21	margin	margin	NOUN
ajst-28824	97	22	between	between	ADP
ajst-28824	97	23	the	the	DET
ajst-28824	97	24	two	two	NUM
ajst-28824	97	25	classes	class	NOUN
ajst-28824	97	26	.	.	PUNCT
ajst-28824	98	1	for	for	ADP
ajst-28824	98	2	the	the	DET
ajst-28824	98	3	case	case	NOUN
ajst-28824	98	4	of	of	ADP
ajst-28824	98	5	linearly	linearly	ADV
ajst-28824	98	6	separable	separable	ADJ
ajst-28824	98	7	data	datum	NOUN
ajst-28824	98	8	,	,	PUNCT
ajst-28824	98	9	svm	svm	PROPN
ajst-28824	98	10	finds	find	VERB
ajst-28824	98	11	the	the	DET
ajst-28824	98	12	optimal	optimal	ADJ
ajst-28824	98	13	separating	separate	VERB
ajst-28824	98	14	hyperplane	hyperplane	NOUN
ajst-28824	98	15	by	by	ADP
ajst-28824	98	16	solving	solve	VERB
ajst-28824	98	17	the	the	DET
ajst-28824	98	18	following	follow	VERB
ajst-28824	98	19	optimization	optimization	NOUN
ajst-28824	98	20	problem	problem	NOUN
ajst-28824	98	21	,	,	PUNCT
ajst-28824	98	22	as	as	SCONJ
ajst-28824	98	23	shown	show	VERB
ajst-28824	98	24	in	in	ADP
ajst-28824	98	25	equation	equation	NOUN
ajst-28824	98	26	(	(	PUNCT
ajst-28824	98	27	2	2	NUM
ajst-28824	98	28	-	-	SYM
ajst-28824	98	29	14	14	NUM
ajst-28824	98	30	)	)	PUNCT
ajst-28824	98	31	,	,	PUNCT
ajst-28824	98	32	‖	‖	PROPN
ajst-28824	98	33	‖	‖	PROPN
ajst-28824	98	34	.	.	PUNCT
ajst-28824	98	35	.	.	PUNCT
ajst-28824	99	1	,	,	PUNCT
ajst-28824	99	2	,	,	PUNCT
ajst-28824	99	3	,	,	PUNCT
ajst-28824	99	4	⋯	⋯	PROPN
ajst-28824	99	5	,	,	PUNCT
ajst-28824	99	6	.	.	PUNCT
ajst-28824	100	1	(	(	PUNCT
ajst-28824	100	2	3	3	X
ajst-28824	100	3	)	)	PUNCT
ajst-28824	100	4	where	where	SCONJ
ajst-28824	100	5	,	,	PUNCT
ajst-28824	100	6	ω	ω	PROPN
ajst-28824	100	7	and	and	CCONJ
ajst-28824	100	8	b	b	PROPN
ajst-28824	100	9	represent	represent	VERB
ajst-28824	100	10	the	the	DET
ajst-28824	100	11	normal	normal	ADJ
ajst-28824	100	12	vector	vector	NOUN
ajst-28824	100	13	and	and	CCONJ
ajst-28824	100	14	the	the	DET
ajst-28824	100	15	intercept	intercept	NOUN
ajst-28824	100	16	of	of	ADP
ajst-28824	100	17	the	the	DET
ajst-28824	100	18	hyperplane	hyperplane	NOUN
ajst-28824	100	19	,	,	PUNCT
ajst-28824	100	20	xi	xi	PROPN
ajst-28824	100	21	denotes	denote	VERB
ajst-28824	100	22	the	the	DET
ajst-28824	100	23	feature	feature	NOUN
ajst-28824	100	24	vector	vector	NOUN
ajst-28824	100	25	,	,	PUNCT
ajst-28824	100	26	yi	yi	PROPN
ajst-28824	100	27	is	be	AUX
ajst-28824	100	28	the	the	DET
ajst-28824	100	29	class	class	NOUN
ajst-28824	100	30	label	label	NOUN
ajst-28824	100	31	(	(	PUNCT
ajst-28824	100	32	with	with	ADP
ajst-28824	100	33	values	value	NOUN
ajst-28824	100	34	of	of	ADP
ajst-28824	100	35	+1	+1	PROPN
ajst-28824	100	36	or	or	CCONJ
ajst-28824	100	37	-1	-1	ADJ
ajst-28824	100	38	)	)	PUNCT
ajst-28824	100	39	,	,	PUNCT
ajst-28824	100	40	and	and	CCONJ
ajst-28824	100	41	m	m	PROPN
ajst-28824	100	42	is	be	AUX
ajst-28824	100	43	the	the	DET
ajst-28824	100	44	number	number	NOUN
ajst-28824	100	45	of	of	ADP
ajst-28824	100	46	samples	sample	NOUN
ajst-28824	100	47	.	.	PUNCT
ajst-28824	101	1	however	however	ADV
ajst-28824	101	2	,	,	PUNCT
ajst-28824	101	3	in	in	ADP
ajst-28824	101	4	real	real	ADJ
ajst-28824	101	5	-	-	PUNCT
ajst-28824	101	6	world	world	NOUN
ajst-28824	101	7	problems	problem	NOUN
ajst-28824	101	8	,	,	PUNCT
ajst-28824	101	9	data	datum	NOUN
ajst-28824	101	10	is	be	AUX
ajst-28824	101	11	often	often	ADV
ajst-28824	101	12	not	not	PART
ajst-28824	101	13	linearly	linearly	ADV
ajst-28824	101	14	separable	separable	ADJ
ajst-28824	101	15	.	.	PUNCT
ajst-28824	102	1	to	to	PART
ajst-28824	102	2	address	address	VERB
ajst-28824	102	3	this	this	DET
ajst-28824	102	4	issue	issue	NOUN
ajst-28824	102	5	,	,	PUNCT
ajst-28824	102	6	svm	svm	PROPN
ajst-28824	102	7	introduces	introduce	VERB
ajst-28824	102	8	the	the	DET
ajst-28824	102	9	concepts	concept	NOUN
ajst-28824	102	10	of	of	ADP
ajst-28824	102	11	a	a	DET
ajst-28824	102	12	soft	soft	ADJ
ajst-28824	102	13	margin	margin	NOUN
ajst-28824	102	14	and	and	CCONJ
ajst-28824	102	15	kernel	kernel	NOUN
ajst-28824	102	16	functions	function	NOUN
ajst-28824	102	17	.	.	PUNCT
ajst-28824	103	1	the	the	DET
ajst-28824	103	2	soft	soft	ADJ
ajst-28824	103	3	margin	margin	NOUN
ajst-28824	103	4	allows	allow	VERB
ajst-28824	103	5	some	some	DET
ajst-28824	103	6	data	datum	NOUN
ajst-28824	103	7	points	point	NOUN
ajst-28824	103	8	to	to	PART
ajst-28824	103	9	be	be	AUX
ajst-28824	103	10	misclassified	misclassifie	VERB
ajst-28824	103	11	in	in	ADP
ajst-28824	103	12	order	order	NOUN
ajst-28824	103	13	to	to	PART
ajst-28824	103	14	achieve	achieve	VERB
ajst-28824	103	15	better	well	ADJ
ajst-28824	103	16	generalization	generalization	NOUN
ajst-28824	103	17	performance	performance	NOUN
ajst-28824	103	18	.	.	PUNCT
ajst-28824	104	1	the	the	DET
ajst-28824	104	2	kernel	kernel	PROPN
ajst-28824	104	3	function	function	NOUN
ajst-28824	104	4	,	,	PUNCT
ajst-28824	104	5	on	on	ADP
ajst-28824	104	6	the	the	DET
ajst-28824	104	7	other	other	ADJ
ajst-28824	104	8	hand	hand	NOUN
ajst-28824	104	9	,	,	PUNCT
ajst-28824	104	10	maps	map	VERB
ajst-28824	104	11	the	the	DET
ajst-28824	104	12	original	original	ADJ
ajst-28824	104	13	feature	feature	NOUN
ajst-28824	104	14	space	space	NOUN
ajst-28824	104	15	into	into	ADP
ajst-28824	104	16	a	a	DET
ajst-28824	104	17	higherdimensional	higherdimensional	ADJ
ajst-28824	104	18	space	space	NOUN
ajst-28824	104	19	where	where	SCONJ
ajst-28824	104	20	the	the	DET
ajst-28824	104	21	data	datum	NOUN
ajst-28824	104	22	may	may	AUX
ajst-28824	104	23	become	become	VERB
ajst-28824	104	24	linearly	linearly	ADV
ajst-28824	104	25	separable	separable	ADJ
ajst-28824	104	26	.	.	PUNCT
ajst-28824	105	1	in	in	ADP
ajst-28824	105	2	this	this	DET
ajst-28824	105	3	study	study	NOUN
ajst-28824	105	4	,	,	PUNCT
ajst-28824	105	5	the	the	DET
ajst-28824	105	6	svm	svm	PROPN
ajst-28824	105	7	algorithm	algorithm	PROPN
ajst-28824	105	8	uses	use	VERB
ajst-28824	105	9	a	a	DET
ajst-28824	105	10	linear	linear	ADJ
ajst-28824	105	11	kernel	kernel	NOUN
ajst-28824	105	12	as	as	ADP
ajst-28824	105	13	the	the	DET
ajst-28824	105	14	kernel	kernel	PROPN
ajst-28824	105	15	function	function	NOUN
ajst-28824	105	16	,	,	PUNCT
ajst-28824	105	17	which	which	PRON
ajst-28824	105	18	is	be	AUX
ajst-28824	105	19	expressed	express	VERB
ajst-28824	105	20	as	as	SCONJ
ajst-28824	105	21	follows	follow	VERB
ajst-28824	105	22	:	:	PUNCT
ajst-28824	105	23	κ	κ	X
ajst-28824	105	24	x	x	X
ajst-28824	105	25	,	,	PUNCT
ajst-28824	105	26	x	x	PUNCT
ajst-28824	105	27	x	x	SYM
ajst-28824	105	28	x	x	X
ajst-28824	105	29	(	(	PUNCT
ajst-28824	105	30	4	4	X
ajst-28824	105	31	)	)	PUNCT
ajst-28824	105	32	svm	svm	NOUN
ajst-28824	105	33	is	be	AUX
ajst-28824	105	34	a	a	DET
ajst-28824	105	35	powerful	powerful	ADJ
ajst-28824	105	36	classifier	classifier	NOUN
ajst-28824	105	37	,	,	PUNCT
ajst-28824	105	38	suitable	suitable	ADJ
ajst-28824	105	39	for	for	ADP
ajst-28824	105	40	handling	handle	VERB
ajst-28824	105	41	both	both	CCONJ
ajst-28824	105	42	linear	linear	ADJ
ajst-28824	105	43	and	and	CCONJ
ajst-28824	105	44	nonlinear	nonlinear	ADJ
ajst-28824	105	45	problems	problem	NOUN
ajst-28824	105	46	.	.	PUNCT
ajst-28824	106	1	by	by	ADP
ajst-28824	106	2	applying	apply	VERB
ajst-28824	106	3	the	the	DET
ajst-28824	106	4	svm	svm	ADJ
ajst-28824	106	5	algorithm	algorithm	NOUN
ajst-28824	106	6	,	,	PUNCT
ajst-28824	106	7	we	we	PRON
ajst-28824	106	8	can	can	AUX
ajst-28824	106	9	make	make	VERB
ajst-28824	106	10	accurate	accurate	ADJ
ajst-28824	106	11	classification	classification	NOUN
ajst-28824	106	12	predictions	prediction	NOUN
ajst-28824	106	13	for	for	ADP
ajst-28824	106	14	covid-19	covid-19	PROPN
ajst-28824	106	15	virus	virus	NOUN
ajst-28824	106	16	sequences	sequence	NOUN
ajst-28824	106	17	.	.	PUNCT
ajst-28824	107	1	2.5	2.5	NUM
ajst-28824	107	2	.	.	PUNCT
ajst-28824	108	1	performance	performance	NOUN
ajst-28824	108	2	assessment	assessment	NOUN
ajst-28824	108	3	in	in	ADP
ajst-28824	108	4	machine	machine	NOUN
ajst-28824	108	5	learning	learning	NOUN
ajst-28824	108	6	,	,	PUNCT
ajst-28824	108	7	performance	performance	NOUN
ajst-28824	108	8	evaluation	evaluation	NOUN
ajst-28824	108	9	metrics	metric	NOUN
ajst-28824	108	10	are	be	AUX
ajst-28824	108	11	crucial	crucial	ADJ
ajst-28824	108	12	as	as	SCONJ
ajst-28824	108	13	they	they	PRON
ajst-28824	108	14	help	help	VERB
ajst-28824	108	15	us	we	PRON
ajst-28824	108	16	gain	gain	VERB
ajst-28824	108	17	a	a	DET
ajst-28824	108	18	comprehensive	comprehensive	ADJ
ajst-28824	108	19	understanding	understanding	NOUN
ajst-28824	108	20	of	of	ADP
ajst-28824	108	21	the	the	DET
ajst-28824	108	22	strengths	strength	NOUN
ajst-28824	108	23	and	and	CCONJ
ajst-28824	108	24	weaknesses	weakness	NOUN
ajst-28824	108	25	of	of	ADP
ajst-28824	108	26	a	a	DET
ajst-28824	108	27	model	model	NOUN
ajst-28824	108	28	.	.	PUNCT
ajst-28824	109	1	commonly	commonly	ADV
ajst-28824	109	2	used	use	VERB
ajst-28824	109	3	evaluation	evaluation	NOUN
ajst-28824	109	4	metrics	metric	NOUN
ajst-28824	109	5	include	include	VERB
ajst-28824	109	6	sensitivity	sensitivity	NOUN
ajst-28824	109	7	,	,	PUNCT
ajst-28824	109	8	specificity	specificity	NOUN
ajst-28824	109	9	,	,	PUNCT
ajst-28824	109	10	accuracy	accuracy	NOUN
ajst-28824	109	11	,	,	PUNCT
ajst-28824	109	12	f1	f1	NOUN
ajst-28824	109	13	score	score	NOUN
ajst-28824	109	14	,	,	PUNCT
ajst-28824	109	15	and	and	CCONJ
ajst-28824	109	16	roc	roc	PROPN
ajst-28824	109	17	curve	curve	NOUN
ajst-28824	109	18	[	[	X
ajst-28824	109	19	26	26	NUM
ajst-28824	109	20	-	-	SYM
ajst-28824	109	21	28	28	NUM
ajst-28824	109	22	]	]	PUNCT
ajst-28824	109	23	.	.	PUNCT
ajst-28824	110	1	⎩	⎩	PROPN
ajst-28824	110	2	⎪	⎪	NOUN
ajst-28824	110	3	⎪	⎪	NOUN
ajst-28824	110	4	⎪	⎪	NOUN
ajst-28824	110	5	⎨	⎨	PROPN
ajst-28824	110	6	⎪	⎪	NOUN
ajst-28824	110	7	⎪	⎪	NOUN
ajst-28824	110	8	⎪	⎪	NOUN
ajst-28824	110	9	⎧sn	⎧sn	NUM
ajst-28824	110	10	sp	sp	ADP
ajst-28824	110	11	precision	precision	NOUN
ajst-28824	110	12	acc	acc	PROPN
ajst-28824	110	13	f1	f1	PROPN
ajst-28824	110	14	precision+sn	precision+sn	X
ajst-28824	110	15	mcc	mcc	NOUN
ajst-28824	110	16	(	(	PUNCT
ajst-28824	110	17	5	5	NUM
ajst-28824	110	18	)	)	PUNCT
ajst-28824	110	19	3	3	NUM
ajst-28824	110	20	.	.	NOUN
ajst-28824	110	21	results	result	NOUN
ajst-28824	110	22	and	and	CCONJ
ajst-28824	110	23	analysis	analysis	NOUN
ajst-28824	110	24	3.1	3.1	NUM
ajst-28824	110	25	.	.	PUNCT
ajst-28824	111	1	binary	binary	ADJ
ajst-28824	111	2	classification	classification	NOUN
ajst-28824	111	3	of	of	ADP
ajst-28824	111	4	viruses	virus	NOUN
ajst-28824	111	5	in	in	ADP
ajst-28824	111	6	this	this	DET
ajst-28824	111	7	study	study	NOUN
ajst-28824	111	8	,	,	PUNCT
ajst-28824	111	9	we	we	PRON
ajst-28824	111	10	randomly	randomly	ADV
ajst-28824	111	11	divided	divide	VERB
ajst-28824	111	12	a	a	DET
ajst-28824	111	13	total	total	NOUN
ajst-28824	111	14	of	of	ADP
ajst-28824	111	15	398	398	NUM
ajst-28824	111	16	samples	sample	NOUN
ajst-28824	111	17	into	into	ADP
ajst-28824	111	18	a	a	DET
ajst-28824	111	19	training	training	NOUN
ajst-28824	111	20	set	set	NOUN
ajst-28824	111	21	(	(	PUNCT
ajst-28824	111	22	280	280	NUM
ajst-28824	111	23	samples	sample	NOUN
ajst-28824	111	24	,	,	PUNCT
ajst-28824	111	25	70	70	NUM
ajst-28824	111	26	%	%	NOUN
ajst-28824	111	27	of	of	ADP
ajst-28824	111	28	the	the	DET
ajst-28824	111	29	total	total	NOUN
ajst-28824	111	30	)	)	PUNCT
ajst-28824	111	31	and	and	CCONJ
ajst-28824	111	32	a	a	DET
ajst-28824	111	33	test	test	NOUN
ajst-28824	111	34	set	set	NOUN
ajst-28824	111	35	(	(	PUNCT
ajst-28824	111	36	118	118	NUM
ajst-28824	111	37	samples	sample	NOUN
ajst-28824	111	38	,	,	PUNCT
ajst-28824	111	39	30	30	NUM
ajst-28824	111	40	%	%	NOUN
ajst-28824	111	41	of	of	ADP
ajst-28824	111	42	the	the	DET
ajst-28824	111	43	total	total	NOUN
ajst-28824	111	44	)	)	PUNCT
ajst-28824	111	45	,	,	PUNCT
ajst-28824	111	46	as	as	SCONJ
ajst-28824	111	47	shown	show	VERB
ajst-28824	111	48	in	in	ADP
ajst-28824	111	49	table	table	NOUN
ajst-28824	111	50	1	1	NUM
ajst-28824	111	51	.	.	PUNCT
ajst-28824	111	52	to	to	PART
ajst-28824	111	53	evaluate	evaluate	VERB
ajst-28824	111	54	the	the	DET
ajst-28824	111	55	performance	performance	NOUN
ajst-28824	111	56	of	of	ADP
ajst-28824	111	57	the	the	DET
ajst-28824	111	58	classifiers	classifier	NOUN
ajst-28824	111	59	in	in	ADP
ajst-28824	111	60	the	the	DET
ajst-28824	111	61	binary	binary	ADJ
ajst-28824	111	62	classification	classification	NOUN
ajst-28824	111	63	task	task	NOUN
ajst-28824	111	64	for	for	ADP
ajst-28824	111	65	covid-19	covid-19	PROPN
ajst-28824	111	66	,	,	PUNCT
ajst-28824	111	67	we	we	PRON
ajst-28824	111	68	compared	compare	VERB
ajst-28824	111	69	the	the	DET
ajst-28824	111	70	rscu	rscu	NOUN
ajst-28824	111	71	and	and	CCONJ
ajst-28824	111	72	k	k	PROPN
ajst-28824	111	73	-	-	PUNCT
ajst-28824	111	74	mer	mer	NOUN
ajst-28824	111	75	methods	method	NOUN
ajst-28824	111	76	.	.	PUNCT
ajst-28824	112	1	both	both	DET
ajst-28824	112	2	classifiers	classifier	NOUN
ajst-28824	112	3	demonstrated	demonstrate	VERB
ajst-28824	112	4	high	high	ADJ
ajst-28824	112	5	recognition	recognition	NOUN
ajst-28824	112	6	accuracy	accuracy	NOUN
ajst-28824	112	7	,	,	PUNCT
ajst-28824	112	8	exceeding	exceed	VERB
ajst-28824	112	9	82	82	NUM
ajst-28824	112	10	%	%	NOUN
ajst-28824	112	11	on	on	ADP
ajst-28824	112	12	the	the	DET
ajst-28824	112	13	test	test	NOUN
ajst-28824	112	14	set	set	NOUN
ajst-28824	112	15	(	(	PUNCT
ajst-28824	112	16	table	table	NOUN
ajst-28824	112	17	2	2	NUM
ajst-28824	112	18	)	)	PUNCT
ajst-28824	112	19	.	.	PUNCT
ajst-28824	113	1	337	337	NUM
ajst-28824	113	2	table	table	NOUN
ajst-28824	113	3	2	2	NUM
ajst-28824	113	4	.	.	PUNCT
ajst-28824	113	5	comparison	comparison	NOUN
ajst-28824	113	6	of	of	ADP
ajst-28824	113	7	the	the	DET
ajst-28824	113	8	performance	performance	NOUN
ajst-28824	113	9	among	among	ADP
ajst-28824	113	10	rscu	rscu	NOUN
ajst-28824	113	11	and	and	CCONJ
ajst-28824	113	12	k	k	PROPN
ajst-28824	113	13	-	-	PUNCT
ajst-28824	113	14	mer	mer	PROPN
ajst-28824	113	15	.	.	PROPN
ajst-28824	113	16	method	method	PROPN
ajst-28824	113	17	categories	category	NOUN
ajst-28824	113	18	accuracy	accuracy	NOUN
ajst-28824	113	19	precision	precision	NOUN
ajst-28824	113	20	recall	recall	PROPN
ajst-28824	113	21	f1	f1	PROPN
ajst-28824	113	22	mcc	mcc	PROPN
ajst-28824	113	23	rscu	rscu	PROPN
ajst-28824	113	24	alpha	alpha	NOUN
ajst-28824	113	25	0.823	0.823	NUM
ajst-28824	113	26	0.823	0.823	NUM
ajst-28824	113	27	0.829	0.829	NUM
ajst-28824	113	28	0.824	0.824	NUM
ajst-28824	113	29	0.649	0.649	NUM
ajst-28824	113	30	beta	beta	NOUN
ajst-28824	113	31	0.828	0.828	NUM
ajst-28824	113	32	0.818	0.818	NUM
ajst-28824	113	33	0.822	0.822	NUM
ajst-28824	113	34	k	k	X
ajst-28824	113	35	-	-	PUNCT
ajst-28824	113	36	mer	mer	NOUN
ajst-28824	113	37	alpha	alpha	NOUN
ajst-28824	113	38	0.859	0.859	NUM
ajst-28824	113	39	0.843	0.843	NUM
ajst-28824	113	40	0.884	0.884	NUM
ajst-28824	113	41	0.861	0.861	NUM
ajst-28824	113	42	0.723	0.723	NUM
ajst-28824	113	43	beta	beta	NOUN
ajst-28824	113	44	0.884	0.884	NUM
ajst-28824	113	45	0.834	0.834	NUM
ajst-28824	113	46	0.856	0.856	NUM
ajst-28824	113	47	further	further	ADJ
ajst-28824	113	48	analysis	analysis	NOUN
ajst-28824	113	49	revealed	reveal	VERB
ajst-28824	113	50	that	that	SCONJ
ajst-28824	113	51	,	,	PUNCT
ajst-28824	113	52	although	although	SCONJ
ajst-28824	113	53	both	both	DET
ajst-28824	113	54	classifiers	classifier	NOUN
ajst-28824	113	55	performed	perform	VERB
ajst-28824	113	56	well	well	ADV
ajst-28824	113	57	in	in	ADP
ajst-28824	113	58	terms	term	NOUN
ajst-28824	113	59	of	of	ADP
ajst-28824	113	60	accuracy	accuracy	NOUN
ajst-28824	113	61	,	,	PUNCT
ajst-28824	113	62	the	the	DET
ajst-28824	113	63	k	k	PROPN
ajst-28824	113	64	-	-	PUNCT
ajst-28824	113	65	mer	mer	PROPN
ajst-28824	113	66	method	method	NOUN
ajst-28824	113	67	outperformed	outperform	VERB
ajst-28824	113	68	rscu	rscu	NOUN
ajst-28824	113	69	.	.	PUNCT
ajst-28824	114	1	specifically	specifically	ADV
ajst-28824	114	2	,	,	PUNCT
ajst-28824	114	3	the	the	DET
ajst-28824	114	4	accuracy	accuracy	NOUN
ajst-28824	114	5	of	of	ADP
ajst-28824	114	6	the	the	DET
ajst-28824	114	7	k	k	PROPN
ajst-28824	114	8	-	-	PUNCT
ajst-28824	114	9	mer	mer	PROPN
ajst-28824	114	10	method	method	NOUN
ajst-28824	114	11	was	be	AUX
ajst-28824	114	12	85.9	85.9	NUM
ajst-28824	114	13	%	%	NOUN
ajst-28824	114	14	,	,	PUNCT
ajst-28824	114	15	significantly	significantly	ADV
ajst-28824	114	16	higher	high	ADJ
ajst-28824	114	17	than	than	ADP
ajst-28824	114	18	the	the	DET
ajst-28824	114	19	82.3	82.3	NUM
ajst-28824	114	20	%	%	NOUN
ajst-28824	114	21	achieved	achieve	VERB
ajst-28824	114	22	by	by	ADP
ajst-28824	114	23	the	the	DET
ajst-28824	114	24	rscu	rscu	NOUN
ajst-28824	114	25	method	method	NOUN
ajst-28824	114	26	.	.	PUNCT
ajst-28824	115	1	this	this	DET
ajst-28824	115	2	result	result	NOUN
ajst-28824	115	3	indicates	indicate	VERB
ajst-28824	115	4	that	that	SCONJ
ajst-28824	115	5	the	the	DET
ajst-28824	115	6	k	k	PROPN
ajst-28824	115	7	-	-	PUNCT
ajst-28824	115	8	mer	mer	PROPN
ajst-28824	115	9	method	method	NOUN
ajst-28824	115	10	is	be	AUX
ajst-28824	115	11	more	more	ADV
ajst-28824	115	12	effective	effective	ADJ
ajst-28824	115	13	in	in	ADP
ajst-28824	115	14	feature	feature	NOUN
ajst-28824	115	15	extraction	extraction	NOUN
ajst-28824	115	16	,	,	PUNCT
ajst-28824	115	17	capturing	capture	VERB
ajst-28824	115	18	important	important	ADJ
ajst-28824	115	19	patterns	pattern	NOUN
ajst-28824	115	20	in	in	ADP
ajst-28824	115	21	the	the	DET
ajst-28824	115	22	covid-19	covid-19	PROPN
ajst-28824	115	23	samples	sample	NOUN
ajst-28824	115	24	.	.	PUNCT
ajst-28824	116	1	based	base	VERB
ajst-28824	116	2	on	on	ADP
ajst-28824	116	3	the	the	DET
ajst-28824	116	4	evaluation	evaluation	NOUN
ajst-28824	116	5	metrics	metric	NOUN
ajst-28824	116	6	,	,	PUNCT
ajst-28824	116	7	including	include	VERB
ajst-28824	116	8	precision	precision	NOUN
ajst-28824	116	9	,	,	PUNCT
ajst-28824	116	10	recall	recall	NOUN
ajst-28824	116	11	,	,	PUNCT
ajst-28824	116	12	f1	f1	NOUN
ajst-28824	116	13	score	score	NOUN
ajst-28824	116	14	,	,	PUNCT
ajst-28824	116	15	and	and	CCONJ
ajst-28824	116	16	mcc	mcc	NOUN
ajst-28824	116	17	,	,	PUNCT
ajst-28824	116	18	the	the	DET
ajst-28824	116	19	k	k	PROPN
ajst-28824	116	20	-	-	PUNCT
ajst-28824	116	21	mer	mer	PROPN
ajst-28824	116	22	method	method	NOUN
ajst-28824	116	23	consistently	consistently	ADV
ajst-28824	116	24	outperformed	outperform	VERB
ajst-28824	116	25	the	the	DET
ajst-28824	116	26	rscu	rscu	NOUN
ajst-28824	116	27	method	method	NOUN
ajst-28824	116	28	across	across	ADP
ajst-28824	116	29	all	all	DET
ajst-28824	116	30	indicators	indicator	NOUN
ajst-28824	116	31	.	.	PUNCT
ajst-28824	117	1	the	the	DET
ajst-28824	117	2	precision	precision	NOUN
ajst-28824	117	3	of	of	ADP
ajst-28824	117	4	the	the	DET
ajst-28824	117	5	k	k	PROPN
ajst-28824	117	6	-	-	PUNCT
ajst-28824	117	7	mer	mer	PROPN
ajst-28824	117	8	method	method	NOUN
ajst-28824	117	9	was	be	AUX
ajst-28824	117	10	higher	high	ADJ
ajst-28824	117	11	than	than	ADP
ajst-28824	117	12	that	that	PRON
ajst-28824	117	13	of	of	ADP
ajst-28824	117	14	rscu	rscu	NOUN
ajst-28824	117	15	in	in	ADP
ajst-28824	117	16	classifying	classify	VERB
ajst-28824	117	17	both	both	CCONJ
ajst-28824	117	18	alpha	alpha	NOUN
ajst-28824	117	19	and	and	CCONJ
ajst-28824	117	20	beta	beta	NOUN
ajst-28824	117	21	samples	sample	NOUN
ajst-28824	117	22	,	,	PUNCT
ajst-28824	117	23	with	with	ADP
ajst-28824	117	24	the	the	DET
ajst-28824	117	25	precision	precision	NOUN
ajst-28824	117	26	for	for	ADP
ajst-28824	117	27	beta	beta	ADJ
ajst-28824	117	28	samples	sample	NOUN
ajst-28824	117	29	being	be	AUX
ajst-28824	117	30	88.4	88.4	NUM
ajst-28824	117	31	%	%	NOUN
ajst-28824	117	32	compared	compare	VERB
ajst-28824	117	33	to	to	ADP
ajst-28824	117	34	82.8	82.8	NUM
ajst-28824	117	35	%	%	NOUN
ajst-28824	117	36	for	for	ADP
ajst-28824	117	37	rscu	rscu	NOUN
ajst-28824	117	38	.	.	PUNCT
ajst-28824	118	1	in	in	ADP
ajst-28824	118	2	terms	term	NOUN
ajst-28824	118	3	of	of	ADP
ajst-28824	118	4	recall	recall	NOUN
ajst-28824	118	5	,	,	PUNCT
ajst-28824	118	6	the	the	DET
ajst-28824	118	7	k	k	PROPN
ajst-28824	118	8	-	-	PUNCT
ajst-28824	118	9	mer	mer	PROPN
ajst-28824	118	10	method	method	NOUN
ajst-28824	118	11	also	also	ADV
ajst-28824	118	12	exhibited	exhibit	VERB
ajst-28824	118	13	superior	superior	ADJ
ajst-28824	118	14	performance	performance	NOUN
ajst-28824	118	15	,	,	PUNCT
ajst-28824	118	16	achieving	achieve	VERB
ajst-28824	118	17	a	a	DET
ajst-28824	118	18	recall	recall	NOUN
ajst-28824	118	19	of	of	ADP
ajst-28824	118	20	88.4	88.4	NUM
ajst-28824	118	21	%	%	NOUN
ajst-28824	118	22	for	for	ADP
ajst-28824	118	23	alpha	alpha	ADJ
ajst-28824	118	24	samples	sample	NOUN
ajst-28824	118	25	,	,	PUNCT
ajst-28824	118	26	while	while	SCONJ
ajst-28824	118	27	rscu	rscu	NOUN
ajst-28824	118	28	achieved	achieve	VERB
ajst-28824	118	29	82.9	82.9	NUM
ajst-28824	118	30	%	%	NOUN
ajst-28824	118	31	.	.	PUNCT
ajst-28824	119	1	the	the	DET
ajst-28824	119	2	f1	f1	PROPN
ajst-28824	119	3	score	score	NOUN
ajst-28824	119	4	,	,	PUNCT
ajst-28824	119	5	as	as	ADP
ajst-28824	119	6	a	a	DET
ajst-28824	119	7	comprehensive	comprehensive	ADJ
ajst-28824	119	8	metric	metric	NOUN
ajst-28824	119	9	that	that	PRON
ajst-28824	119	10	balances	balance	VERB
ajst-28824	119	11	precision	precision	NOUN
ajst-28824	119	12	and	and	CCONJ
ajst-28824	119	13	recall	recall	NOUN
ajst-28824	119	14	,	,	PUNCT
ajst-28824	119	15	provides	provide	VERB
ajst-28824	119	16	a	a	DET
ajst-28824	119	17	better	well	ADJ
ajst-28824	119	18	reflection	reflection	NOUN
ajst-28824	119	19	of	of	ADP
ajst-28824	119	20	classifier	classifier	ADJ
ajst-28824	119	21	performance	performance	NOUN
ajst-28824	119	22	on	on	ADP
ajst-28824	119	23	imbalanced	imbalanced	ADJ
ajst-28824	119	24	datasets	dataset	NOUN
ajst-28824	119	25	.	.	PUNCT
ajst-28824	120	1	for	for	ADP
ajst-28824	120	2	alpha	alpha	NOUN
ajst-28824	120	3	samples	sample	NOUN
ajst-28824	120	4	,	,	PUNCT
ajst-28824	120	5	the	the	DET
ajst-28824	120	6	f1	f1	ADJ
ajst-28824	120	7	score	score	NOUN
ajst-28824	120	8	of	of	ADP
ajst-28824	120	9	the	the	DET
ajst-28824	120	10	k	k	PROPN
ajst-28824	120	11	-	-	PUNCT
ajst-28824	120	12	mer	mer	PROPN
ajst-28824	120	13	method	method	NOUN
ajst-28824	120	14	was	be	AUX
ajst-28824	120	15	0.861	0.861	NUM
ajst-28824	120	16	,	,	PUNCT
ajst-28824	120	17	noticeably	noticeably	ADV
ajst-28824	120	18	higher	high	ADJ
ajst-28824	120	19	than	than	ADP
ajst-28824	120	20	the	the	DET
ajst-28824	120	21	rscu	rscu	NOUN
ajst-28824	120	22	's	's	PART
ajst-28824	120	23	0.824	0.824	NUM
ajst-28824	120	24	.	.	PUNCT
ajst-28824	121	1	this	this	PRON
ajst-28824	121	2	demonstrates	demonstrate	VERB
ajst-28824	121	3	that	that	SCONJ
ajst-28824	121	4	the	the	DET
ajst-28824	121	5	k	k	PROPN
ajst-28824	121	6	-	-	PUNCT
ajst-28824	121	7	mer	mer	PROPN
ajst-28824	121	8	method	method	NOUN
ajst-28824	121	9	is	be	AUX
ajst-28824	121	10	better	well	ADJ
ajst-28824	121	11	at	at	ADP
ajst-28824	121	12	balancing	balance	VERB
ajst-28824	121	13	precision	precision	NOUN
ajst-28824	121	14	and	and	CCONJ
ajst-28824	121	15	recall	recall	NOUN
ajst-28824	121	16	when	when	SCONJ
ajst-28824	121	17	dealing	deal	VERB
ajst-28824	121	18	with	with	ADP
ajst-28824	121	19	imbalanced	imbalanced	ADJ
ajst-28824	121	20	data	datum	NOUN
ajst-28824	121	21	,	,	PUNCT
ajst-28824	121	22	reducing	reduce	VERB
ajst-28824	121	23	classification	classification	NOUN
ajst-28824	121	24	errors	error	NOUN
ajst-28824	121	25	.	.	PUNCT
ajst-28824	122	1	finally	finally	ADV
ajst-28824	122	2	,	,	PUNCT
ajst-28824	122	3	the	the	DET
ajst-28824	122	4	mcc	mcc	NOUN
ajst-28824	122	5	was	be	AUX
ajst-28824	122	6	also	also	ADV
ajst-28824	122	7	used	use	VERB
ajst-28824	122	8	to	to	PART
ajst-28824	122	9	assess	assess	VERB
ajst-28824	122	10	the	the	DET
ajst-28824	122	11	overall	overall	ADJ
ajst-28824	122	12	performance	performance	NOUN
ajst-28824	122	13	of	of	ADP
ajst-28824	122	14	the	the	DET
ajst-28824	122	15	classifiers	classifier	NOUN
ajst-28824	122	16	.	.	PUNCT
ajst-28824	123	1	among	among	ADP
ajst-28824	123	2	all	all	DET
ajst-28824	123	3	evaluation	evaluation	NOUN
ajst-28824	123	4	metrics	metric	NOUN
ajst-28824	123	5	,	,	PUNCT
ajst-28824	123	6	the	the	DET
ajst-28824	123	7	k	k	PROPN
ajst-28824	123	8	-	-	PUNCT
ajst-28824	123	9	mer	mer	PROPN
ajst-28824	123	10	method	method	NOUN
ajst-28824	123	11	achieved	achieve	VERB
ajst-28824	123	12	an	an	DET
ajst-28824	123	13	mcc	mcc	NOUN
ajst-28824	123	14	of	of	ADP
ajst-28824	123	15	0.723	0.723	NUM
ajst-28824	123	16	,	,	PUNCT
ajst-28824	123	17	which	which	PRON
ajst-28824	123	18	is	be	AUX
ajst-28824	123	19	considerably	considerably	ADV
ajst-28824	123	20	higher	high	ADJ
ajst-28824	123	21	than	than	ADP
ajst-28824	123	22	the	the	DET
ajst-28824	123	23	rscu	rscu	NOUN
ajst-28824	123	24	's	's	PART
ajst-28824	123	25	0.649	0.649	NUM
ajst-28824	123	26	.	.	PUNCT
ajst-28824	124	1	this	this	PRON
ajst-28824	124	2	further	far	ADV
ajst-28824	124	3	confirms	confirm	VERB
ajst-28824	124	4	the	the	DET
ajst-28824	124	5	superiority	superiority	NOUN
ajst-28824	124	6	of	of	ADP
ajst-28824	124	7	the	the	DET
ajst-28824	124	8	k	k	PROPN
ajst-28824	124	9	-	-	PUNCT
ajst-28824	124	10	mer	mer	PROPN
ajst-28824	124	11	method	method	NOUN
ajst-28824	124	12	for	for	ADP
ajst-28824	124	13	covid-19	covid-19	PROPN
ajst-28824	124	14	classification	classification	NOUN
ajst-28824	124	15	tasks	task	NOUN
ajst-28824	124	16	.	.	PUNCT
ajst-28824	125	1	in	in	ADP
ajst-28824	125	2	summary	summary	NOUN
ajst-28824	125	3	,	,	PUNCT
ajst-28824	125	4	the	the	DET
ajst-28824	125	5	k	k	PROPN
ajst-28824	125	6	-	-	PUNCT
ajst-28824	125	7	mer	mer	PROPN
ajst-28824	125	8	encoding	encoding	NOUN
ajst-28824	125	9	method	method	NOUN
ajst-28824	125	10	has	have	VERB
ajst-28824	125	11	significant	significant	ADJ
ajst-28824	125	12	advantages	advantage	NOUN
ajst-28824	125	13	in	in	ADP
ajst-28824	125	14	nucleic	nucleic	ADJ
ajst-28824	125	15	acid	acid	NOUN
ajst-28824	125	16	classification	classification	NOUN
ajst-28824	125	17	tasks	task	NOUN
ajst-28824	125	18	based	base	VERB
ajst-28824	125	19	on	on	ADP
ajst-28824	125	20	above	above	ADP
ajst-28824	125	21	analysis	analysis	NOUN
ajst-28824	125	22	and	and	CCONJ
ajst-28824	125	23	figure1	figure1	NOUN
ajst-28824	125	24	-	-	PUNCT
ajst-28824	125	25	4	4	NUM
ajst-28824	125	26	.	.	PUNCT
ajst-28824	126	1	however	however	ADV
ajst-28824	126	2	,	,	PUNCT
ajst-28824	126	3	it	it	PRON
ajst-28824	126	4	is	be	AUX
ajst-28824	126	5	important	important	ADJ
ajst-28824	126	6	to	to	PART
ajst-28824	126	7	note	note	VERB
ajst-28824	126	8	that	that	SCONJ
ajst-28824	126	9	the	the	DET
ajst-28824	126	10	computational	computational	ADJ
ajst-28824	126	11	complexity	complexity	NOUN
ajst-28824	126	12	of	of	ADP
ajst-28824	126	13	the	the	DET
ajst-28824	126	14	k	k	PROPN
ajst-28824	126	15	-	-	PUNCT
ajst-28824	126	16	mer	mer	PROPN
ajst-28824	126	17	encoding	encoding	NOUN
ajst-28824	126	18	method	method	NOUN
ajst-28824	126	19	is	be	AUX
ajst-28824	126	20	relatively	relatively	ADV
ajst-28824	126	21	high	high	ADJ
ajst-28824	126	22	,	,	PUNCT
ajst-28824	126	23	which	which	PRON
ajst-28824	126	24	may	may	AUX
ajst-28824	126	25	increase	increase	VERB
ajst-28824	126	26	processing	processing	NOUN
ajst-28824	126	27	time	time	NOUN
ajst-28824	126	28	.	.	PUNCT
ajst-28824	127	1	therefore	therefore	ADV
ajst-28824	127	2	,	,	PUNCT
ajst-28824	127	3	in	in	ADP
ajst-28824	127	4	practical	practical	ADJ
ajst-28824	127	5	applications	application	NOUN
ajst-28824	127	6	,	,	PUNCT
ajst-28824	127	7	it	it	PRON
ajst-28824	127	8	is	be	AUX
ajst-28824	127	9	necessary	necessary	ADJ
ajst-28824	127	10	to	to	PART
ajst-28824	127	11	balance	balance	VERB
ajst-28824	127	12	the	the	DET
ajst-28824	127	13	trade	trade	NOUN
ajst-28824	127	14	-	-	PUNCT
ajst-28824	127	15	off	off	NOUN
ajst-28824	127	16	between	between	ADP
ajst-28824	127	17	computational	computational	ADJ
ajst-28824	127	18	complexity	complexity	NOUN
ajst-28824	127	19	and	and	CCONJ
ajst-28824	127	20	classification	classification	NOUN
ajst-28824	127	21	performance	performance	NOUN
ajst-28824	127	22	.	.	PUNCT
ajst-28824	128	1	figure	figure	NOUN
ajst-28824	128	2	1	1	NUM
ajst-28824	128	3	.	.	PUNCT
ajst-28824	129	1	the	the	DET
ajst-28824	129	2	confusion	confusion	NOUN
ajst-28824	129	3	matrix	matrix	NOUN
ajst-28824	129	4	of	of	ADP
ajst-28824	129	5	each	each	DET
ajst-28824	129	6	fold	fold	NOUN
ajst-28824	129	7	in	in	ADP
ajst-28824	129	8	binary	binary	ADJ
ajst-28824	129	9	classification	classification	NOUN
ajst-28824	129	10	of	of	ADP
ajst-28824	129	11	k	k	PROPN
ajst-28824	129	12	-	-	PUNCT
ajst-28824	129	13	mer	mer	PROPN
ajst-28824	129	14	model	model	NOUN
ajst-28824	129	15	.	.	PUNCT
ajst-28824	130	1	338	338	NUM
ajst-28824	130	2	figure	figure	NOUN
ajst-28824	130	3	2	2	NUM
ajst-28824	130	4	.	.	PUNCT
ajst-28824	131	1	the	the	DET
ajst-28824	131	2	confusion	confusion	NOUN
ajst-28824	131	3	matrix	matrix	NOUN
ajst-28824	131	4	of	of	ADP
ajst-28824	131	5	each	each	DET
ajst-28824	131	6	fold	fold	NOUN
ajst-28824	131	7	in	in	ADP
ajst-28824	131	8	binary	binary	ADJ
ajst-28824	131	9	classification	classification	NOUN
ajst-28824	131	10	of	of	ADP
ajst-28824	131	11	rscu	rscu	NOUN
ajst-28824	131	12	model	model	NOUN
ajst-28824	131	13	.	.	PUNCT
ajst-28824	132	1	figure	figure	VERB
ajst-28824	132	2	3	3	NUM
ajst-28824	132	3	.	.	PUNCT
ajst-28824	133	1	the	the	DET
ajst-28824	133	2	roc	roc	PROPN
ajst-28824	133	3	in	in	ADP
ajst-28824	133	4	binary	binary	ADJ
ajst-28824	133	5	classification	classification	NOUN
ajst-28824	133	6	of	of	ADP
ajst-28824	133	7	k	k	PROPN
ajst-28824	133	8	-	-	PUNCT
ajst-28824	133	9	mer	mer	PROPN
ajst-28824	133	10	model	model	NOUN
ajst-28824	133	11	.	.	PUNCT
ajst-28824	134	1	339	339	NUM
ajst-28824	134	2	figure	figure	NOUN
ajst-28824	134	3	4	4	NUM
ajst-28824	134	4	.	.	PUNCT
ajst-28824	135	1	the	the	DET
ajst-28824	135	2	roc	roc	PROPN
ajst-28824	135	3	in	in	ADP
ajst-28824	135	4	binary	binary	ADJ
ajst-28824	135	5	classification	classification	NOUN
ajst-28824	135	6	of	of	ADP
ajst-28824	135	7	rscu	rscu	NOUN
ajst-28824	135	8	model	model	NOUN
ajst-28824	135	9	.	.	PUNCT
ajst-28824	136	1	3.2	3.2	NUM
ajst-28824	136	2	.	.	PUNCT
ajst-28824	137	1	krscu	krscu	VERB
ajst-28824	137	2	the	the	DET
ajst-28824	137	3	rscu	rscu	NOUN
ajst-28824	137	4	-	-	PUNCT
ajst-28824	137	5	based	base	VERB
ajst-28824	137	6	encoding	encoding	NOUN
ajst-28824	137	7	method	method	NOUN
ajst-28824	137	8	mainly	mainly	ADV
ajst-28824	137	9	focuses	focus	VERB
ajst-28824	137	10	on	on	ADP
ajst-28824	137	11	compositional	compositional	ADJ
ajst-28824	137	12	features	feature	NOUN
ajst-28824	137	13	,	,	PUNCT
ajst-28824	137	14	while	while	SCONJ
ajst-28824	137	15	the	the	DET
ajst-28824	137	16	k	k	PROPN
ajst-28824	137	17	-	-	PUNCT
ajst-28824	137	18	mer	mer	NOUN
ajst-28824	137	19	encoding	encoding	NOUN
ajst-28824	137	20	method	method	NOUN
ajst-28824	137	21	emphasizes	emphasize	VERB
ajst-28824	137	22	positional	positional	ADJ
ajst-28824	137	23	features	feature	NOUN
ajst-28824	137	24	within	within	ADP
ajst-28824	137	25	the	the	DET
ajst-28824	137	26	sequence	sequence	NOUN
ajst-28824	137	27	.	.	PUNCT
ajst-28824	138	1	given	give	VERB
ajst-28824	138	2	the	the	DET
ajst-28824	138	3	respective	respective	ADJ
ajst-28824	138	4	advantages	advantage	NOUN
ajst-28824	138	5	and	and	CCONJ
ajst-28824	138	6	limitations	limitation	NOUN
ajst-28824	138	7	of	of	ADP
ajst-28824	138	8	these	these	DET
ajst-28824	138	9	two	two	NUM
ajst-28824	138	10	encoding	encoding	NOUN
ajst-28824	138	11	methods	method	NOUN
ajst-28824	138	12	,	,	PUNCT
ajst-28824	138	13	we	we	PRON
ajst-28824	138	14	propose	propose	VERB
ajst-28824	138	15	an	an	DET
ajst-28824	138	16	innovative	innovative	ADJ
ajst-28824	138	17	multi	multi	ADJ
ajst-28824	138	18	-	-	ADJ
ajst-28824	138	19	feature	feature	ADJ
ajst-28824	138	20	fusion	fusion	NOUN
ajst-28824	138	21	technique	technique	NOUN
ajst-28824	138	22	called	call	VERB
ajst-28824	138	23	krscu	krscu	NOUN
ajst-28824	138	24	,	,	PUNCT
ajst-28824	138	25	which	which	PRON
ajst-28824	138	26	aims	aim	VERB
ajst-28824	138	27	to	to	PART
ajst-28824	138	28	improve	improve	VERB
ajst-28824	138	29	classification	classification	NOUN
ajst-28824	138	30	performance	performance	NOUN
ajst-28824	138	31	and	and	CCONJ
ajst-28824	138	32	enhance	enhance	VERB
ajst-28824	138	33	the	the	DET
ajst-28824	138	34	model	model	NOUN
ajst-28824	138	35	's	's	PART
ajst-28824	138	36	generalization	generalization	NOUN
ajst-28824	138	37	ability	ability	NOUN
ajst-28824	138	38	.	.	PUNCT
ajst-28824	139	1	this	this	DET
ajst-28824	139	2	method	method	NOUN
ajst-28824	139	3	combines	combine	VERB
ajst-28824	139	4	the	the	DET
ajst-28824	139	5	compositional	compositional	ADJ
ajst-28824	139	6	features	feature	NOUN
ajst-28824	139	7	of	of	ADP
ajst-28824	139	8	rscu	rscu	NOUN
ajst-28824	139	9	encoding	encode	VERB
ajst-28824	139	10	with	with	ADP
ajst-28824	139	11	the	the	DET
ajst-28824	139	12	positional	positional	ADJ
ajst-28824	139	13	information	information	NOUN
ajst-28824	139	14	of	of	ADP
ajst-28824	139	15	k	k	PROPN
ajst-28824	139	16	-	-	PUNCT
ajst-28824	139	17	mer	mer	PROPN
ajst-28824	139	18	encoding	encoding	NOUN
ajst-28824	139	19	to	to	PART
ajst-28824	139	20	create	create	VERB
ajst-28824	139	21	a	a	DET
ajst-28824	139	22	composite	composite	ADJ
ajst-28824	139	23	feature	feature	NOUN
ajst-28824	139	24	representation	representation	NOUN
ajst-28824	139	25	,	,	PUNCT
ajst-28824	139	26	which	which	PRON
ajst-28824	139	27	effectively	effectively	ADV
ajst-28824	139	28	captures	capture	VERB
ajst-28824	139	29	both	both	CCONJ
ajst-28824	139	30	the	the	DET
ajst-28824	139	31	global	global	ADJ
ajst-28824	139	32	compositional	compositional	ADJ
ajst-28824	139	33	characteristics	characteristic	NOUN
ajst-28824	139	34	and	and	CCONJ
ajst-28824	139	35	local	local	ADJ
ajst-28824	139	36	structural	structural	ADJ
ajst-28824	139	37	patterns	pattern	NOUN
ajst-28824	139	38	of	of	ADP
ajst-28824	139	39	the	the	DET
ajst-28824	139	40	sequence	sequence	NOUN
ajst-28824	139	41	.	.	PUNCT
ajst-28824	140	1	the	the	DET
ajst-28824	140	2	specific	specific	ADJ
ajst-28824	140	3	formula	formula	NOUN
ajst-28824	140	4	for	for	ADP
ajst-28824	140	5	calculating	calculate	VERB
ajst-28824	140	6	krscu	krscu	NOUN
ajst-28824	140	7	is	be	AUX
ajst-28824	140	8	as	as	SCONJ
ajst-28824	140	9	follows	follow	VERB
ajst-28824	140	10	:	:	PUNCT
ajst-28824	140	11	𝐶	𝐶	PROPN
ajst-28824	140	12	𝑅	𝑅	PROPN
ajst-28824	140	13	;	;	PUNCT
ajst-28824	140	14	�	�	PROPN
ajst-28824	140	15	⃗	⃗	PROPN
ajst-28824	140	16	�	�	PROPN
ajst-28824	140	17	(	(	PUNCT
ajst-28824	140	18	6	6	NUM
ajst-28824	140	19	)	)	PUNCT
ajst-28824	140	20	where	where	SCONJ
ajst-28824	140	21	𝐶	𝐶	PROPN
ajst-28824	140	22	represent	represent	VERB
ajst-28824	140	23	the	the	DET
ajst-28824	140	24	feature	feature	NOUN
ajst-28824	140	25	vector	vector	NOUN
ajst-28824	140	26	of	of	ADP
ajst-28824	140	27	krscu	krscu	NOUN
ajst-28824	140	28	,	,	PUNCT
ajst-28824	140	29	where𝑅and	where𝑅and	X
ajst-28824	140	30	�	�	PROPN
ajst-28824	140	31	⃗	⃗	NOUN
ajst-28824	140	32	�	�	PROPN
ajst-28824	140	33	represent	represent	VERB
ajst-28824	140	34	the	the	DET
ajst-28824	140	35	feature	feature	NOUN
ajst-28824	140	36	vector	vector	NOUN
ajst-28824	140	37	of	of	ADP
ajst-28824	140	38	rscu	rscu	NOUN
ajst-28824	140	39	and	and	CCONJ
ajst-28824	140	40	kmer	kmer	NOUN
ajst-28824	140	41	,	,	PUNCT
ajst-28824	140	42	respectively	respectively	ADV
ajst-28824	140	43	.	.	PUNCT
ajst-28824	140	44	table	table	NOUN
ajst-28824	140	45	3	3	NUM
ajst-28824	140	46	.	.	PUNCT
ajst-28824	140	47	comparison	comparison	NOUN
ajst-28824	140	48	of	of	ADP
ajst-28824	140	49	the	the	DET
ajst-28824	140	50	performance	performance	NOUN
ajst-28824	140	51	among	among	ADP
ajst-28824	140	52	krscu	krscu	NOUN
ajst-28824	140	53	,	,	PUNCT
ajst-28824	140	54	rscu	rscu	NOUN
ajst-28824	140	55	and	and	CCONJ
ajst-28824	140	56	k	k	PROPN
ajst-28824	140	57	-	-	PUNCT
ajst-28824	140	58	mer	mer	PROPN
ajst-28824	140	59	.	.	PROPN
ajst-28824	140	60	method	method	PROPN
ajst-28824	140	61	categories	category	NOUN
ajst-28824	140	62	accuracy	accuracy	NOUN
ajst-28824	140	63	precision	precision	NOUN
ajst-28824	140	64	recall	recall	PROPN
ajst-28824	140	65	f1	f1	PROPN
ajst-28824	140	66	mcc	mcc	PROPN
ajst-28824	140	67	rscu	rscu	PROPN
ajst-28824	140	68	alpha	alpha	NOUN
ajst-28824	140	69	0.823	0.823	NUM
ajst-28824	140	70	0.823	0.823	NUM
ajst-28824	140	71	0.829	0.829	NUM
ajst-28824	140	72	0.824	0.824	NUM
ajst-28824	140	73	0.649	0.649	NUM
ajst-28824	140	74	beta	beta	NOUN
ajst-28824	140	75	0.828	0.828	NUM
ajst-28824	140	76	0.818	0.818	NUM
ajst-28824	140	77	0.822	0.822	NUM
ajst-28824	140	78	k	k	X
ajst-28824	140	79	-	-	PUNCT
ajst-28824	140	80	mer	mer	NOUN
ajst-28824	140	81	alpha	alpha	NOUN
ajst-28824	140	82	0.859	0.859	NUM
ajst-28824	140	83	0.843	0.843	NUM
ajst-28824	140	84	0.884	0.884	NUM
ajst-28824	140	85	0.861	0.861	NUM
ajst-28824	140	86	0.723	0.723	NUM
ajst-28824	140	87	beta	beta	NOUN
ajst-28824	140	88	0.884	0.884	NUM
ajst-28824	140	89	0.834	0.834	NUM
ajst-28824	140	90	0.856	0.856	NUM
ajst-28824	140	91	krscu	krscu	NOUN
ajst-28824	140	92	alpha	alpha	VERB
ajst-28824	140	93	0.876	0.876	NUM
ajst-28824	140	94	0.889	0.889	NUM
ajst-28824	140	95	0.859	0.859	NUM
ajst-28824	140	96	0.873	0.873	NUM
ajst-28824	140	97	0.753	0.753	NUM
ajst-28824	140	98	beta	beta	NOUN
ajst-28824	140	99	0.865	0.865	NUM
ajst-28824	140	100	0.894	0.894	NUM
ajst-28824	140	101	0.879	0.879	NUM
ajst-28824	140	102	the	the	DET
ajst-28824	140	103	krscu	krscu	PROPN
ajst-28824	140	104	method	method	NOUN
ajst-28824	140	105	achieved	achieve	VERB
ajst-28824	140	106	the	the	DET
ajst-28824	140	107	highest	high	ADJ
ajst-28824	140	108	accuracy	accuracy	NOUN
ajst-28824	140	109	of	of	ADP
ajst-28824	140	110	0.876	0.876	NUM
ajst-28824	140	111	in	in	ADP
ajst-28824	140	112	both	both	CCONJ
ajst-28824	140	113	the	the	DET
ajst-28824	140	114	alpha	alpha	NOUN
ajst-28824	140	115	and	and	CCONJ
ajst-28824	140	116	beta	beta	ADJ
ajst-28824	140	117	categories	category	NOUN
ajst-28824	140	118	,	,	PUNCT
ajst-28824	140	119	outperforming	outperform	VERB
ajst-28824	140	120	both	both	CCONJ
ajst-28824	140	121	the	the	DET
ajst-28824	140	122	k	k	PROPN
ajst-28824	140	123	-	-	PUNCT
ajst-28824	140	124	mer	mer	PROPN
ajst-28824	140	125	method	method	NOUN
ajst-28824	140	126	(	(	PUNCT
ajst-28824	140	127	alpha	alpha	NOUN
ajst-28824	140	128	:	:	PUNCT
ajst-28824	140	129	0.859	0.859	NUM
ajst-28824	140	130	,	,	PUNCT
ajst-28824	140	131	beta	beta	NOUN
ajst-28824	140	132	:	:	PUNCT
ajst-28824	140	133	0.859	0.859	NUM
ajst-28824	140	134	)	)	PUNCT
ajst-28824	140	135	and	and	CCONJ
ajst-28824	140	136	the	the	DET
ajst-28824	140	137	rscu	rscu	NOUN
ajst-28824	140	138	method	method	NOUN
ajst-28824	140	139	(	(	PUNCT
ajst-28824	140	140	alpha	alpha	NOUN
ajst-28824	140	141	:	:	PUNCT
ajst-28824	140	142	0.823	0.823	NUM
ajst-28824	140	143	,	,	PUNCT
ajst-28824	140	144	beta	beta	NOUN
ajst-28824	140	145	:	:	PUNCT
ajst-28824	140	146	0.823	0.823	NUM
ajst-28824	140	147	)	)	PUNCT
ajst-28824	140	148	.	.	PUNCT
ajst-28824	141	1	these	these	DET
ajst-28824	141	2	results	result	NOUN
ajst-28824	141	3	indicate	indicate	VERB
ajst-28824	141	4	that	that	SCONJ
ajst-28824	141	5	krscu	krscu	NOUN
ajst-28824	141	6	performs	perform	VERB
ajst-28824	141	7	most	most	ADV
ajst-28824	141	8	consistently	consistently	ADV
ajst-28824	141	9	and	and	CCONJ
ajst-28824	141	10	accurately	accurately	ADV
ajst-28824	141	11	across	across	ADP
ajst-28824	141	12	the	the	DET
ajst-28824	141	13	classification	classification	NOUN
ajst-28824	141	14	task	task	NOUN
ajst-28824	141	15	.	.	PUNCT
ajst-28824	142	1	in	in	ADP
ajst-28824	142	2	the	the	DET
ajst-28824	142	3	alpha	alpha	NOUN
ajst-28824	142	4	category	category	NOUN
ajst-28824	142	5	,	,	PUNCT
ajst-28824	142	6	krscu	krscu	PROPN
ajst-28824	142	7	achieved	achieve	VERB
ajst-28824	142	8	the	the	DET
ajst-28824	142	9	highest	high	ADJ
ajst-28824	142	10	precision	precision	NOUN
ajst-28824	142	11	of	of	ADP
ajst-28824	142	12	0.889	0.889	NUM
ajst-28824	142	13	,	,	PUNCT
ajst-28824	142	14	which	which	PRON
ajst-28824	142	15	was	be	AUX
ajst-28824	142	16	higher	high	ADJ
ajst-28824	142	17	than	than	ADP
ajst-28824	142	18	the	the	DET
ajst-28824	142	19	k	k	PROPN
ajst-28824	142	20	-	-	PUNCT
ajst-28824	142	21	mer	mer	PROPN
ajst-28824	142	22	method	method	NOUN
ajst-28824	142	23	(	(	PUNCT
ajst-28824	142	24	alpha	alpha	NOUN
ajst-28824	142	25	:	:	PUNCT
ajst-28824	142	26	0.843	0.843	NUM
ajst-28824	142	27	)	)	PUNCT
ajst-28824	142	28	and	and	CCONJ
ajst-28824	142	29	rscu	rscu	NOUN
ajst-28824	142	30	(	(	PUNCT
ajst-28824	142	31	alpha	alpha	NOUN
ajst-28824	142	32	:	:	PUNCT
ajst-28824	142	33	0.823	0.823	NUM
ajst-28824	142	34	)	)	PUNCT
ajst-28824	142	35	.	.	PUNCT
ajst-28824	143	1	in	in	ADP
ajst-28824	143	2	the	the	DET
ajst-28824	143	3	beta	beta	ADJ
ajst-28824	143	4	category	category	NOUN
ajst-28824	143	5	,	,	PUNCT
ajst-28824	143	6	k	k	PROPN
ajst-28824	143	7	-	-	PUNCT
ajst-28824	143	8	mer	mer	PROPN
ajst-28824	143	9	exhibited	exhibit	VERB
ajst-28824	143	10	the	the	DET
ajst-28824	143	11	highest	high	ADJ
ajst-28824	143	12	precision	precision	NOUN
ajst-28824	143	13	(	(	PUNCT
ajst-28824	143	14	0.884	0.884	NUM
ajst-28824	143	15	)	)	PUNCT
ajst-28824	143	16	,	,	PUNCT
ajst-28824	143	17	slightly	slightly	ADV
ajst-28824	143	18	outperforming	outperforming	NOUN
ajst-28824	143	19	rscu	rscu	NOUN
ajst-28824	143	20	(	(	PUNCT
ajst-28824	143	21	0.828	0.828	NUM
ajst-28824	143	22	)	)	PUNCT
ajst-28824	143	23	,	,	PUNCT
ajst-28824	143	24	but	but	CCONJ
ajst-28824	143	25	still	still	ADV
ajst-28824	143	26	lower	low	ADJ
ajst-28824	143	27	than	than	ADP
ajst-28824	143	28	krscu	krscu	PROPN
ajst-28824	143	29	(	(	PUNCT
ajst-28824	143	30	0.865	0.865	NUM
ajst-28824	143	31	)	)	PUNCT
ajst-28824	143	32	.	.	PUNCT
ajst-28824	144	1	these	these	DET
ajst-28824	144	2	results	result	NOUN
ajst-28824	144	3	suggest	suggest	VERB
ajst-28824	144	4	that	that	SCONJ
ajst-28824	144	5	krscu	krscu	PROPN
ajst-28824	144	6	is	be	AUX
ajst-28824	144	7	the	the	DET
ajst-28824	144	8	most	most	ADV
ajst-28824	144	9	precise	precise	ADJ
ajst-28824	144	10	in	in	ADP
ajst-28824	144	11	predicting	predict	VERB
ajst-28824	144	12	positive	positive	ADJ
ajst-28824	144	13	samples	sample	NOUN
ajst-28824	144	14	,	,	PUNCT
ajst-28824	144	15	particularly	particularly	ADV
ajst-28824	144	16	in	in	ADP
ajst-28824	144	17	the	the	DET
ajst-28824	144	18	alpha	alpha	ADJ
ajst-28824	144	19	category	category	NOUN
ajst-28824	144	20	.	.	PUNCT
ajst-28824	145	1	in	in	ADP
ajst-28824	145	2	the	the	DET
ajst-28824	145	3	beta	beta	ADJ
ajst-28824	145	4	category	category	NOUN
ajst-28824	145	5	,	,	PUNCT
ajst-28824	145	6	krscu	krscu	PROPN
ajst-28824	145	7	achieved	achieve	VERB
ajst-28824	145	8	the	the	DET
ajst-28824	145	9	highest	high	ADJ
ajst-28824	145	10	recall	recall	NOUN
ajst-28824	145	11	of	of	ADP
ajst-28824	145	12	0.894	0.894	NUM
ajst-28824	145	13	,	,	PUNCT
ajst-28824	145	14	significantly	significantly	ADV
ajst-28824	145	15	outperforming	outperform	VERB
ajst-28824	145	16	the	the	DET
ajst-28824	145	17	other	other	ADJ
ajst-28824	145	18	two	two	NUM
ajst-28824	145	19	methods	method	NOUN
ajst-28824	145	20	.	.	PUNCT
ajst-28824	146	1	in	in	ADP
ajst-28824	146	2	contrast	contrast	NOUN
ajst-28824	146	3	,	,	PUNCT
ajst-28824	146	4	k	k	PROPN
ajst-28824	146	5	-	-	PUNCT
ajst-28824	146	6	mer	mer	PROPN
ajst-28824	146	7	demonstrated	demonstrate	VERB
ajst-28824	146	8	the	the	DET
ajst-28824	146	9	highest	high	ADJ
ajst-28824	146	10	recall	recall	NOUN
ajst-28824	146	11	in	in	ADP
ajst-28824	146	12	the	the	DET
ajst-28824	146	13	alpha	alpha	NOUN
ajst-28824	146	14	category	category	NOUN
ajst-28824	146	15	(	(	PUNCT
ajst-28824	146	16	0.884	0.884	NUM
ajst-28824	146	17	)	)	PUNCT
ajst-28824	146	18	,	,	PUNCT
ajst-28824	146	19	compared	compare	VERB
ajst-28824	146	20	to	to	ADP
ajst-28824	146	21	rscu	rscu	NOUN
ajst-28824	146	22	(	(	PUNCT
ajst-28824	146	23	0.829	0.829	NUM
ajst-28824	146	24	)	)	PUNCT
ajst-28824	146	25	and	and	CCONJ
ajst-28824	146	26	krscu	krscu	PROPN
ajst-28824	146	27	(	(	PUNCT
ajst-28824	146	28	0.859	0.859	NUM
ajst-28824	146	29	)	)	PUNCT
ajst-28824	146	30	,	,	PUNCT
ajst-28824	146	31	indicating	indicate	VERB
ajst-28824	146	32	that	that	SCONJ
ajst-28824	146	33	k	k	PROPN
ajst-28824	146	34	-	-	PUNCT
ajst-28824	146	35	mer	mer	NOUN
ajst-28824	146	36	is	be	AUX
ajst-28824	146	37	better	well	ADJ
ajst-28824	146	38	at	at	ADP
ajst-28824	146	39	detecting	detect	VERB
ajst-28824	146	40	positive	positive	ADJ
ajst-28824	146	41	samples	sample	NOUN
ajst-28824	146	42	,	,	PUNCT
ajst-28824	146	43	particularly	particularly	ADV
ajst-28824	146	44	in	in	ADP
ajst-28824	146	45	the	the	DET
ajst-28824	146	46	alpha	alpha	ADJ
ajst-28824	146	47	category	category	NOUN
ajst-28824	146	48	.	.	PUNCT
ajst-28824	147	1	in	in	ADP
ajst-28824	147	2	the	the	DET
ajst-28824	147	3	alpha	alpha	NOUN
ajst-28824	147	4	category	category	NOUN
ajst-28824	147	5	,	,	PUNCT
ajst-28824	147	6	k	k	PROPN
ajst-28824	147	7	-	-	PUNCT
ajst-28824	147	8	mer	mer	PROPN
ajst-28824	147	9	achieved	achieve	VERB
ajst-28824	147	10	the	the	DET
ajst-28824	147	11	highest	high	ADJ
ajst-28824	147	12	f1	f1	NOUN
ajst-28824	147	13	score	score	NOUN
ajst-28824	147	14	(	(	PUNCT
ajst-28824	147	15	0.861	0.861	NUM
ajst-28824	147	16	)	)	PUNCT
ajst-28824	147	17	,	,	PUNCT
ajst-28824	147	18	outperforming	outperform	VERB
ajst-28824	147	19	rscu	rscu	NOUN
ajst-28824	147	20	(	(	PUNCT
ajst-28824	147	21	0.824	0.824	NUM
ajst-28824	147	22	)	)	PUNCT
ajst-28824	147	23	and	and	CCONJ
ajst-28824	147	24	krscu	krscu	PROPN
ajst-28824	147	25	(	(	PUNCT
ajst-28824	147	26	0.873	0.873	NUM
ajst-28824	147	27	)	)	PUNCT
ajst-28824	147	28	.	.	PUNCT
ajst-28824	148	1	however	however	ADV
ajst-28824	148	2	,	,	PUNCT
ajst-28824	148	3	in	in	ADP
ajst-28824	148	4	the	the	DET
ajst-28824	148	5	beta	beta	ADJ
ajst-28824	148	6	category	category	NOUN
ajst-28824	148	7	,	,	PUNCT
ajst-28824	148	8	krscu	krscu	PROPN
ajst-28824	148	9	achieved	achieve	VERB
ajst-28824	148	10	the	the	DET
ajst-28824	148	11	highest	high	ADJ
ajst-28824	148	12	340	340	NUM
ajst-28824	148	13	f1	f1	NOUN
ajst-28824	148	14	score	score	NOUN
ajst-28824	148	15	(	(	PUNCT
ajst-28824	148	16	0.879	0.879	NUM
ajst-28824	148	17	)	)	PUNCT
ajst-28824	148	18	,	,	PUNCT
ajst-28824	148	19	slightly	slightly	ADV
ajst-28824	148	20	better	well	ADJ
ajst-28824	148	21	than	than	ADP
ajst-28824	148	22	k	k	X
ajst-28824	148	23	-	-	PUNCT
ajst-28824	148	24	mer	mer	X
ajst-28824	148	25	(	(	PUNCT
ajst-28824	148	26	0.856	0.856	NUM
ajst-28824	148	27	)	)	PUNCT
ajst-28824	148	28	and	and	CCONJ
ajst-28824	148	29	rscu	rscu	NOUN
ajst-28824	148	30	(	(	PUNCT
ajst-28824	148	31	0.822	0.822	NUM
ajst-28824	148	32	)	)	PUNCT
ajst-28824	148	33	,	,	PUNCT
ajst-28824	148	34	suggesting	suggest	VERB
ajst-28824	148	35	that	that	SCONJ
ajst-28824	148	36	krscu	krscu	PROPN
ajst-28824	148	37	provides	provide	VERB
ajst-28824	148	38	the	the	DET
ajst-28824	148	39	best	good	ADJ
ajst-28824	148	40	balance	balance	NOUN
ajst-28824	148	41	between	between	ADP
ajst-28824	148	42	precision	precision	NOUN
ajst-28824	148	43	and	and	CCONJ
ajst-28824	148	44	recall	recall	NOUN
ajst-28824	148	45	in	in	ADP
ajst-28824	148	46	the	the	DET
ajst-28824	148	47	beta	beta	ADJ
ajst-28824	148	48	category	category	NOUN
ajst-28824	148	49	.	.	PUNCT
ajst-28824	149	1	the	the	DET
ajst-28824	149	2	krscu	krscu	PROPN
ajst-28824	149	3	method	method	NOUN
ajst-28824	149	4	consistently	consistently	ADV
ajst-28824	149	5	achieved	achieve	VERB
ajst-28824	149	6	the	the	DET
ajst-28824	149	7	highest	high	ADJ
ajst-28824	149	8	mcc	mcc	NOUN
ajst-28824	149	9	of	of	ADP
ajst-28824	149	10	0.753	0.753	NUM
ajst-28824	149	11	in	in	ADP
ajst-28824	149	12	both	both	CCONJ
ajst-28824	149	13	the	the	DET
ajst-28824	149	14	alpha	alpha	NOUN
ajst-28824	149	15	and	and	CCONJ
ajst-28824	149	16	beta	beta	ADJ
ajst-28824	149	17	categories	category	NOUN
ajst-28824	149	18	,	,	PUNCT
ajst-28824	149	19	outperforming	outperform	VERB
ajst-28824	149	20	both	both	CCONJ
ajst-28824	149	21	k	k	PROPN
ajst-28824	149	22	-	-	PUNCT
ajst-28824	149	23	mer	mer	X
ajst-28824	149	24	(	(	PUNCT
ajst-28824	149	25	0.723	0.723	NUM
ajst-28824	149	26	)	)	PUNCT
ajst-28824	149	27	and	and	CCONJ
ajst-28824	149	28	rscu	rscu	NOUN
ajst-28824	149	29	(	(	PUNCT
ajst-28824	149	30	alpha	alpha	NOUN
ajst-28824	149	31	:	:	PUNCT
ajst-28824	149	32	0.649	0.649	NUM
ajst-28824	149	33	,	,	PUNCT
ajst-28824	149	34	beta	beta	NOUN
ajst-28824	149	35	:	:	PUNCT
ajst-28824	149	36	0.649	0.649	NUM
ajst-28824	149	37	)	)	PUNCT
ajst-28824	149	38	.	.	PUNCT
ajst-28824	150	1	this	this	PRON
ajst-28824	150	2	indicates	indicate	VERB
ajst-28824	150	3	that	that	SCONJ
ajst-28824	150	4	krscu	krscu	PROPN
ajst-28824	150	5	offers	offer	VERB
ajst-28824	150	6	the	the	DET
ajst-28824	150	7	most	most	ADV
ajst-28824	150	8	robust	robust	ADJ
ajst-28824	150	9	and	and	CCONJ
ajst-28824	150	10	well	well	ADV
ajst-28824	150	11	-	-	PUNCT
ajst-28824	150	12	rounded	rounded	ADJ
ajst-28824	150	13	performance	performance	NOUN
ajst-28824	150	14	across	across	ADP
ajst-28824	150	15	all	all	DET
ajst-28824	150	16	metrics	metric	NOUN
ajst-28824	150	17	.	.	PUNCT
ajst-28824	151	1	in	in	ADP
ajst-28824	151	2	summary	summary	NOUN
ajst-28824	151	3	,	,	PUNCT
ajst-28824	151	4	the	the	DET
ajst-28824	151	5	krscu	krscu	NOUN
ajst-28824	151	6	method	method	NOUN
ajst-28824	151	7	outperformed	outperform	VERB
ajst-28824	151	8	the	the	DET
ajst-28824	151	9	k	k	PROPN
ajst-28824	151	10	-	-	PUNCT
ajst-28824	151	11	mer	mer	PROPN
ajst-28824	151	12	and	and	CCONJ
ajst-28824	151	13	rscu	rscu	NOUN
ajst-28824	151	14	methodsin	methodsin	NOUN
ajst-28824	151	15	terms	term	NOUN
ajst-28824	151	16	of	of	ADP
ajst-28824	151	17	accuracy	accuracy	NOUN
ajst-28824	151	18	,	,	PUNCT
ajst-28824	151	19	precision	precision	NOUN
ajst-28824	151	20	,	,	PUNCT
ajst-28824	151	21	recall	recall	NOUN
ajst-28824	151	22	,	,	PUNCT
ajst-28824	151	23	f1	f1	NOUN
ajst-28824	151	24	score	score	NOUN
ajst-28824	151	25	and	and	CCONJ
ajst-28824	151	26	mcc	mcc	NOUN
ajst-28824	151	27	,	,	PUNCT
ajst-28824	151	28	the	the	DET
ajst-28824	151	29	confusion	confusion	NOUN
ajst-28824	151	30	matrix	matrix	NOUN
ajst-28824	151	31	and	and	CCONJ
ajst-28824	151	32	roc	roc	PROPN
ajst-28824	151	33	(	(	PUNCT
ajst-28824	151	34	figure	figure	NOUN
ajst-28824	151	35	1	1	NUM
ajst-28824	151	36	-	-	SYM
ajst-28824	151	37	6	6	NUM
ajst-28824	151	38	)	)	PUNCT
ajst-28824	151	39	,	,	PUNCT
ajst-28824	151	40	with	with	ADP
ajst-28824	151	41	particularly	particularly	ADV
ajst-28824	151	42	strong	strong	ADJ
ajst-28824	151	43	performance	performance	NOUN
ajst-28824	151	44	in	in	ADP
ajst-28824	151	45	the	the	DET
ajst-28824	151	46	beta	beta	ADJ
ajst-28824	151	47	category	category	NOUN
ajst-28824	151	48	.	.	PUNCT
ajst-28824	152	1	while	while	SCONJ
ajst-28824	152	2	the	the	DET
ajst-28824	152	3	k	k	PROPN
ajst-28824	152	4	-	-	PUNCT
ajst-28824	152	5	mer	mer	PROPN
ajst-28824	152	6	method	method	NOUN
ajst-28824	152	7	performed	perform	VERB
ajst-28824	152	8	better	well	ADV
ajst-28824	152	9	in	in	ADP
ajst-28824	152	10	recall	recall	NOUN
ajst-28824	152	11	and	and	CCONJ
ajst-28824	152	12	f1	f1	ADJ
ajst-28824	152	13	score	score	NOUN
ajst-28824	152	14	for	for	ADP
ajst-28824	152	15	alpha	alpha	ADJ
ajst-28824	152	16	samples	sample	NOUN
ajst-28824	152	17	,	,	PUNCT
ajst-28824	152	18	krscu	krscu	PROPN
ajst-28824	152	19	showed	show	VERB
ajst-28824	152	20	superior	superior	ADJ
ajst-28824	152	21	overall	overall	ADJ
ajst-28824	152	22	performance	performance	NOUN
ajst-28824	152	23	.	.	PUNCT
ajst-28824	153	1	these	these	DET
ajst-28824	153	2	results	result	NOUN
ajst-28824	153	3	suggest	suggest	VERB
ajst-28824	153	4	that	that	SCONJ
ajst-28824	153	5	krscu	krscu	PROPN
ajst-28824	153	6	is	be	AUX
ajst-28824	153	7	the	the	DET
ajst-28824	153	8	most	most	ADV
ajst-28824	153	9	promising	promising	ADJ
ajst-28824	153	10	method	method	NOUN
ajst-28824	153	11	for	for	ADP
ajst-28824	153	12	classification	classification	NOUN
ajst-28824	153	13	tasks	task	NOUN
ajst-28824	153	14	,	,	PUNCT
ajst-28824	153	15	particularly	particularly	ADV
ajst-28824	153	16	in	in	ADP
ajst-28824	153	17	scenarios	scenario	NOUN
ajst-28824	153	18	with	with	ADP
ajst-28824	153	19	imbalanced	imbalanced	ADJ
ajst-28824	153	20	or	or	CCONJ
ajst-28824	153	21	complex	complex	ADJ
ajst-28824	153	22	datasets	dataset	NOUN
ajst-28824	153	23	.	.	PUNCT
ajst-28824	154	1	figure	figure	NOUN
ajst-28824	154	2	5	5	NUM
ajst-28824	154	3	.	.	PUNCT
ajst-28824	155	1	the	the	DET
ajst-28824	155	2	confusion	confusion	NOUN
ajst-28824	155	3	matrix	matrix	NOUN
ajst-28824	155	4	of	of	ADP
ajst-28824	155	5	each	each	DET
ajst-28824	155	6	fold	fold	NOUN
ajst-28824	155	7	in	in	ADP
ajst-28824	155	8	binary	binary	ADJ
ajst-28824	155	9	classification	classification	NOUN
ajst-28824	155	10	of	of	ADP
ajst-28824	155	11	krscu	krscu	PROPN
ajst-28824	155	12	model	model	PROPN
ajst-28824	155	13	.	.	PUNCT
ajst-28824	156	1	figure	figure	VERB
ajst-28824	156	2	6	6	NUM
ajst-28824	156	3	.	.	PUNCT
ajst-28824	157	1	the	the	DET
ajst-28824	157	2	roc	roc	PROPN
ajst-28824	157	3	in	in	ADP
ajst-28824	157	4	binary	binary	ADJ
ajst-28824	157	5	classification	classification	NOUN
ajst-28824	157	6	of	of	ADP
ajst-28824	157	7	rscu	rscu	NOUN
ajst-28824	157	8	model	model	NOUN
ajst-28824	157	9	.	.	PUNCT
ajst-28824	158	1	341	341	NUM
ajst-28824	158	2	4	4	NUM
ajst-28824	158	3	.	.	PUNCT
ajst-28824	158	4	conclusions	conclusion	NOUN
ajst-28824	158	5	in	in	ADP
ajst-28824	158	6	this	this	DET
ajst-28824	158	7	study	study	NOUN
ajst-28824	158	8	,	,	PUNCT
ajst-28824	158	9	we	we	PRON
ajst-28824	158	10	employed	employ	VERB
ajst-28824	158	11	three	three	NUM
ajst-28824	158	12	feature	feature	NOUN
ajst-28824	158	13	extraction	extraction	NOUN
ajst-28824	158	14	methods	method	NOUN
ajst-28824	158	15	based	base	VERB
ajst-28824	158	16	onsvm	onsvm	ADV
ajst-28824	158	17	—	—	PUNCT
ajst-28824	158	18	rscu	rscu	NOUN
ajst-28824	158	19	,	,	PUNCT
ajst-28824	158	20	k	k	PROPN
ajst-28824	158	21	-	-	PUNCT
ajst-28824	158	22	mer	mer	NOUN
ajst-28824	158	23	,	,	PUNCT
ajst-28824	158	24	and	and	CCONJ
ajst-28824	158	25	krscu	krscu	NOUN
ajst-28824	158	26	—	—	PUNCT
ajst-28824	158	27	to	to	PART
ajst-28824	158	28	conduct	conduct	VERB
ajst-28824	158	29	a	a	DET
ajst-28824	158	30	detailed	detailed	ADJ
ajst-28824	158	31	evaluation	evaluation	NOUN
ajst-28824	158	32	of	of	ADP
ajst-28824	158	33	the	the	DET
ajst-28824	158	34	classification	classification	NOUN
ajst-28824	158	35	capabilities	capability	NOUN
ajst-28824	158	36	for	for	ADP
ajst-28824	158	37	two	two	NUM
ajst-28824	158	38	sars	sar	NOUN
ajst-28824	158	39	-	-	PUNCT
ajst-28824	158	40	cov-2	cov-2	NOUN
ajst-28824	158	41	subtypes	subtype	NOUN
ajst-28824	158	42	.	.	PUNCT
ajst-28824	159	1	through	through	ADP
ajst-28824	159	2	comparative	comparative	ADJ
ajst-28824	159	3	experiments	experiment	NOUN
ajst-28824	159	4	,	,	PUNCT
ajst-28824	159	5	the	the	DET
ajst-28824	159	6	results	result	NOUN
ajst-28824	159	7	show	show	VERB
ajst-28824	159	8	that	that	SCONJ
ajst-28824	159	9	the	the	DET
ajst-28824	159	10	krscu	krscu	NOUN
ajst-28824	159	11	method	method	NOUN
ajst-28824	159	12	significantly	significantly	ADV
ajst-28824	159	13	outperforms	outperform	VERB
ajst-28824	159	14	the	the	DET
ajst-28824	159	15	individual	individual	ADJ
ajst-28824	159	16	rscu	rscu	NOUN
ajst-28824	159	17	and	and	CCONJ
ajst-28824	159	18	k	k	PROPN
ajst-28824	159	19	-	-	PUNCT
ajst-28824	159	20	mer	mer	PROPN
ajst-28824	159	21	encoding	encoding	NOUN
ajst-28824	159	22	methods	method	NOUN
ajst-28824	159	23	in	in	ADP
ajst-28824	159	24	classification	classification	NOUN
ajst-28824	159	25	performance	performance	NOUN
ajst-28824	159	26	.	.	PUNCT
ajst-28824	160	1	specifically	specifically	ADV
ajst-28824	160	2	,	,	PUNCT
ajst-28824	160	3	the	the	DET
ajst-28824	160	4	krscu	krscu	NOUN
ajst-28824	160	5	method	method	NOUN
ajst-28824	160	6	,	,	PUNCT
ajst-28824	160	7	by	by	ADP
ajst-28824	160	8	combining	combine	VERB
ajst-28824	160	9	the	the	DET
ajst-28824	160	10	compositional	compositional	ADJ
ajst-28824	160	11	features	feature	NOUN
ajst-28824	160	12	of	of	ADP
ajst-28824	160	13	rscu	rscu	NOUN
ajst-28824	160	14	encoding	encode	VERB
ajst-28824	160	15	with	with	ADP
ajst-28824	160	16	the	the	DET
ajst-28824	160	17	positional	positional	ADJ
ajst-28824	160	18	information	information	NOUN
ajst-28824	160	19	of	of	ADP
ajst-28824	160	20	k	k	PROPN
ajst-28824	160	21	-	-	PUNCT
ajst-28824	160	22	mer	mer	PROPN
ajst-28824	160	23	encoding	encoding	NOUN
ajst-28824	160	24	,	,	PUNCT
ajst-28824	160	25	provides	provide	VERB
ajst-28824	160	26	a	a	DET
ajst-28824	160	27	more	more	ADV
ajst-28824	160	28	comprehensive	comprehensive	ADJ
ajst-28824	160	29	sequence	sequence	NOUN
ajst-28824	160	30	representation	representation	NOUN
ajst-28824	160	31	for	for	ADP
ajst-28824	160	32	classification	classification	NOUN
ajst-28824	160	33	tasks	task	NOUN
ajst-28824	160	34	,	,	PUNCT
ajst-28824	160	35	thereby	thereby	ADV
ajst-28824	160	36	enhancing	enhance	VERB
ajst-28824	160	37	the	the	DET
ajst-28824	160	38	model	model	NOUN
ajst-28824	160	39	's	's	PART
ajst-28824	160	40	ability	ability	NOUN
ajst-28824	160	41	to	to	PART
ajst-28824	160	42	distinguish	distinguish	VERB
ajst-28824	160	43	between	between	ADP
ajst-28824	160	44	different	different	ADJ
ajst-28824	160	45	subtypes	subtype	NOUN
ajst-28824	160	46	and	and	CCONJ
ajst-28824	160	47	improving	improve	VERB
ajst-28824	160	48	robustness	robustness	NOUN
ajst-28824	160	49	.	.	PUNCT
ajst-28824	161	1	compared	compare	VERB
ajst-28824	161	2	to	to	ADP
ajst-28824	161	3	the	the	DET
ajst-28824	161	4	rscu	rscu	NOUN
ajst-28824	161	5	method	method	NOUN
ajst-28824	161	6	,	,	PUNCT
ajst-28824	161	7	krscu	krscu	PROPN
ajst-28824	161	8	effectively	effectively	ADV
ajst-28824	161	9	overcomes	overcome	VERB
ajst-28824	161	10	the	the	DET
ajst-28824	161	11	limitations	limitation	NOUN
ajst-28824	161	12	of	of	ADP
ajst-28824	161	13	using	use	VERB
ajst-28824	161	14	only	only	ADJ
ajst-28824	161	15	compositional	compositional	ADJ
ajst-28824	161	16	features	feature	NOUN
ajst-28824	161	17	,	,	PUNCT
ajst-28824	161	18	while	while	SCONJ
ajst-28824	161	19	the	the	DET
ajst-28824	161	20	k	k	PROPN
ajst-28824	161	21	-	-	PUNCT
ajst-28824	161	22	mer	mer	PROPN
ajst-28824	161	23	method	method	NOUN
ajst-28824	161	24	excels	excel	VERB
ajst-28824	161	25	in	in	ADP
ajst-28824	161	26	capturing	capture	VERB
ajst-28824	161	27	local	local	ADJ
ajst-28824	161	28	sequence	sequence	NOUN
ajst-28824	161	29	patterns	pattern	NOUN
ajst-28824	161	30	but	but	CCONJ
ajst-28824	161	31	neglects	neglect	VERB
ajst-28824	161	32	global	global	ADJ
ajst-28824	161	33	compositional	compositional	ADJ
ajst-28824	161	34	characteristics	characteristic	NOUN
ajst-28824	161	35	.	.	PUNCT
ajst-28824	162	1	by	by	ADP
ajst-28824	162	2	integrating	integrate	VERB
ajst-28824	162	3	these	these	DET
ajst-28824	162	4	two	two	NUM
ajst-28824	162	5	features	feature	NOUN
ajst-28824	162	6	,	,	PUNCT
ajst-28824	162	7	the	the	DET
ajst-28824	162	8	krscu	krscu	NOUN
ajst-28824	162	9	method	method	NOUN
ajst-28824	162	10	considers	consider	VERB
ajst-28824	162	11	both	both	CCONJ
ajst-28824	162	12	global	global	ADJ
ajst-28824	162	13	and	and	CCONJ
ajst-28824	162	14	local	local	ADJ
ajst-28824	162	15	information	information	NOUN
ajst-28824	162	16	from	from	ADP
ajst-28824	162	17	the	the	DET
ajst-28824	162	18	sequence	sequence	NOUN
ajst-28824	162	19	,	,	PUNCT
ajst-28824	162	20	improving	improve	VERB
ajst-28824	162	21	classification	classification	NOUN
ajst-28824	162	22	accuracy	accuracy	NOUN
ajst-28824	162	23	and	and	CCONJ
ajst-28824	162	24	demonstrating	demonstrate	VERB
ajst-28824	162	25	superior	superior	ADJ
ajst-28824	162	26	adaptability	adaptability	NOUN
ajst-28824	162	27	to	to	ADP
ajst-28824	162	28	highly	highly	ADV
ajst-28824	162	29	variable	variable	ADJ
ajst-28824	162	30	data	datum	NOUN
ajst-28824	162	31	.	.	PUNCT
ajst-28824	163	1	our	our	PRON
ajst-28824	163	2	experimental	experimental	ADJ
ajst-28824	163	3	results	result	NOUN
ajst-28824	163	4	validate	validate	VERB
ajst-28824	163	5	the	the	DET
ajst-28824	163	6	advantages	advantage	NOUN
ajst-28824	163	7	of	of	ADP
ajst-28824	163	8	the	the	DET
ajst-28824	163	9	krscu	krscu	NOUN
ajst-28824	163	10	method	method	NOUN
ajst-28824	163	11	in	in	ADP
ajst-28824	163	12	sars	sar	NOUN
ajst-28824	163	13	-	-	PUNCT
ajst-28824	163	14	cov-2	cov-2	NOUN
ajst-28824	163	15	subtype	subtype	NOUN
ajst-28824	163	16	classification	classification	NOUN
ajst-28824	163	17	,	,	PUNCT
ajst-28824	163	18	offering	offer	VERB
ajst-28824	163	19	a	a	DET
ajst-28824	163	20	more	more	ADV
ajst-28824	163	21	effective	effective	ADJ
ajst-28824	163	22	feature	feature	NOUN
ajst-28824	163	23	extraction	extraction	NOUN
ajst-28824	163	24	solution	solution	NOUN
ajst-28824	163	25	for	for	ADP
ajst-28824	163	26	future	future	ADJ
ajst-28824	163	27	genomic	genomic	ADJ
ajst-28824	163	28	classification	classification	NOUN
ajst-28824	163	29	tasks	task	NOUN
ajst-28824	163	30	of	of	ADP
ajst-28824	163	31	similar	similar	ADJ
ajst-28824	163	32	viruses	virus	NOUN
ajst-28824	163	33	.	.	PUNCT
ajst-28824	164	1	future	future	ADJ
ajst-28824	164	2	research	research	NOUN
ajst-28824	164	3	could	could	AUX
ajst-28824	164	4	further	far	ADV
ajst-28824	164	5	explore	explore	VERB
ajst-28824	164	6	how	how	SCONJ
ajst-28824	164	7	to	to	PART
ajst-28824	164	8	translate	translate	VERB
ajst-28824	164	9	the	the	DET
ajst-28824	164	10	structural	structural	ADJ
ajst-28824	164	11	information	information	NOUN
ajst-28824	164	12	within	within	ADP
ajst-28824	164	13	viral	viral	ADJ
ajst-28824	164	14	genomes	genome	NOUN
ajst-28824	164	15	into	into	ADP
ajst-28824	164	16	numerical	numerical	ADJ
ajst-28824	164	17	features	feature	NOUN
ajst-28824	164	18	that	that	PRON
ajst-28824	164	19	can	can	AUX
ajst-28824	164	20	be	be	AUX
ajst-28824	164	21	utilized	utilize	VERB
ajst-28824	164	22	by	by	ADP
ajst-28824	164	23	machine	machine	NOUN
ajst-28824	164	24	learning	learning	NOUN
ajst-28824	164	25	models	model	NOUN
ajst-28824	164	26	,	,	PUNCT
ajst-28824	164	27	thereby	thereby	ADV
ajst-28824	164	28	enhancing	enhance	VERB
ajst-28824	164	29	the	the	DET
ajst-28824	164	30	accuracy	accuracy	NOUN
ajst-28824	164	31	and	and	CCONJ
ajst-28824	164	32	complexity	complexity	NOUN
ajst-28824	164	33	of	of	ADP
ajst-28824	164	34	classification	classification	NOUN
ajst-28824	164	35	models	model	NOUN
ajst-28824	164	36	.	.	PUNCT
ajst-28824	165	1	this	this	PRON
ajst-28824	165	2	could	could	AUX
ajst-28824	165	3	be	be	AUX
ajst-28824	165	4	achieved	achieve	VERB
ajst-28824	165	5	by	by	ADP
ajst-28824	165	6	developing	develop	VERB
ajst-28824	165	7	more	more	ADJ
ajst-28824	165	8	refined	refined	ADJ
ajst-28824	165	9	feature	feature	NOUN
ajst-28824	165	10	extraction	extraction	NOUN
ajst-28824	165	11	techniques	technique	NOUN
ajst-28824	165	12	,	,	PUNCT
ajst-28824	165	13	particularly	particularly	ADV
ajst-28824	165	14	those	those	PRON
ajst-28824	165	15	targeting	target	VERB
ajst-28824	165	16	secondary	secondary	ADJ
ajst-28824	165	17	structures	structure	NOUN
ajst-28824	165	18	,	,	PUNCT
ajst-28824	165	19	tertiary	tertiary	ADJ
ajst-28824	165	20	structures	structure	NOUN
ajst-28824	165	21	,	,	PUNCT
ajst-28824	165	22	and	and	CCONJ
ajst-28824	165	23	other	other	ADJ
ajst-28824	165	24	potential	potential	ADJ
ajst-28824	165	25	structural	structural	ADJ
ajst-28824	165	26	elements	element	NOUN
ajst-28824	165	27	within	within	ADP
ajst-28824	165	28	sequences	sequence	NOUN
ajst-28824	165	29	,	,	PUNCT
ajst-28824	165	30	such	such	ADJ
ajst-28824	165	31	as	as	ADP
ajst-28824	165	32	the	the	DET
ajst-28824	165	33	stability	stability	NOUN
ajst-28824	165	34	of	of	ADP
ajst-28824	165	35	rna	rna	PROPN
ajst-28824	165	36	secondary	secondary	ADJ
ajst-28824	165	37	structures	structure	NOUN
ajst-28824	165	38	or	or	CCONJ
ajst-28824	165	39	protein	protein	NOUN
ajst-28824	165	40	-	-	PUNCT
ajst-28824	165	41	protein	protein	NOUN
ajst-28824	165	42	interaction	interaction	NOUN
ajst-28824	165	43	networks	network	NOUN
ajst-28824	165	44	.	.	PUNCT
ajst-28824	166	1	the	the	DET
ajst-28824	166	2	full	full	ADJ
ajst-28824	166	3	utilization	utilization	NOUN
ajst-28824	166	4	of	of	ADP
ajst-28824	166	5	this	this	DET
ajst-28824	166	6	structural	structural	ADJ
ajst-28824	166	7	information	information	NOUN
ajst-28824	166	8	will	will	AUX
ajst-28824	166	9	help	help	VERB
ajst-28824	166	10	capture	capture	VERB
ajst-28824	166	11	the	the	DET
ajst-28824	166	12	deeper	deep	ADJ
ajst-28824	166	13	relationships	relationship	NOUN
ajst-28824	166	14	between	between	ADP
ajst-28824	166	15	viral	viral	ADJ
ajst-28824	166	16	mutations	mutation	NOUN
ajst-28824	166	17	and	and	CCONJ
ajst-28824	166	18	their	their	PRON
ajst-28824	166	19	biological	biological	ADJ
ajst-28824	166	20	functions	function	NOUN
ajst-28824	166	21	,	,	PUNCT
ajst-28824	166	22	thus	thus	ADV
ajst-28824	166	23	improving	improve	VERB
ajst-28824	166	24	the	the	DET
ajst-28824	166	25	performance	performance	NOUN
ajst-28824	166	26	of	of	ADP
ajst-28824	166	27	classification	classification	NOUN
ajst-28824	166	28	and	and	CCONJ
ajst-28824	166	29	prediction	prediction	NOUN
ajst-28824	166	30	models	model	NOUN
ajst-28824	166	31	.	.	PUNCT
ajst-28824	167	1	references	reference	NOUN
ajst-28824	167	2	[	[	X
ajst-28824	167	3	1	1	NUM
ajst-28824	167	4	]	]	X
ajst-28824	167	5	zhou	zhou	PROPN
ajst-28824	167	6	,	,	PUNCT
ajst-28824	167	7	p.	p.	PROPN
ajst-28824	167	8	,	,	PUNCT
ajst-28824	167	9	yang	yang	PROPN
ajst-28824	167	10	,	,	PUNCT
ajst-28824	167	11	x.	x.	PROPN
ajst-28824	167	12	l.	l.	PROPN
ajst-28824	167	13	,	,	PUNCT
ajst-28824	167	14	wang	wang	PROPN
ajst-28824	167	15	,	,	PUNCT
ajst-28824	167	16	x.	x.	PROPN
ajst-28824	167	17	g.	g.	PROPN
ajst-28824	167	18	,	,	PUNCT
ajst-28824	167	19	hu	hu	PROPN
ajst-28824	167	20	,	,	PUNCT
ajst-28824	167	21	b.	b.	PROPN
ajst-28824	167	22	,	,	PUNCT
ajst-28824	167	23	zhang	zhang	PROPN
ajst-28824	167	24	,	,	PUNCT
ajst-28824	167	25	l.	l.	PROPN
ajst-28824	167	26	,	,	PUNCT
ajst-28824	167	27	zhang	zhang	PROPN
ajst-28824	167	28	,	,	PUNCT
ajst-28824	167	29	w.	w.	PROPN
ajst-28824	167	30	,	,	PUNCT
ajst-28824	167	31	...	...	PUNCT
ajst-28824	167	32	&	&	CCONJ
ajst-28824	167	33	shi	shi	PROPN
ajst-28824	167	34	,	,	PUNCT
ajst-28824	167	35	z.	z.	PROPN
ajst-28824	167	36	l.	l.	PROPN
ajst-28824	167	37	(	(	PUNCT
ajst-28824	167	38	2020	2020	NUM
ajst-28824	167	39	)	)	PUNCT
ajst-28824	167	40	.	.	PUNCT
ajst-28824	168	1	a	a	DET
ajst-28824	168	2	pneumonia	pneumonia	NOUN
ajst-28824	168	3	outbreak	outbreak	NOUN
ajst-28824	168	4	associated	associate	VERB
ajst-28824	168	5	with	with	ADP
ajst-28824	168	6	a	a	DET
ajst-28824	168	7	new	new	ADJ
ajst-28824	168	8	coronavirus	coronavirus	NOUN
ajst-28824	168	9	of	of	ADP
ajst-28824	168	10	probable	probable	ADJ
ajst-28824	168	11	bat	bat	NOUN
ajst-28824	168	12	origin	origin	NOUN
ajst-28824	168	13	.	.	PUNCT
ajst-28824	169	1	nature	nature	NOUN
ajst-28824	169	2	,	,	PUNCT
ajst-28824	169	3	579(7798	579(7798	NUM
ajst-28824	169	4	)	)	PUNCT
ajst-28824	169	5	,	,	PUNCT
ajst-28824	169	6	270	270	NUM
ajst-28824	169	7	-	-	SYM
ajst-28824	169	8	273	273	NUM
ajst-28824	169	9	.	.	PUNCT
ajst-28824	170	1	[	[	X
ajst-28824	170	2	2	2	NUM
ajst-28824	170	3	]	]	X
ajst-28824	170	4	korber	korber	PROPN
ajst-28824	170	5	,	,	PUNCT
ajst-28824	170	6	b.	b.	PROPN
ajst-28824	170	7	,	,	PUNCT
ajst-28824	170	8	fischer	fischer	PROPN
ajst-28824	170	9	,	,	PUNCT
ajst-28824	170	10	w.	w.	PROPN
ajst-28824	170	11	m.	m.	NOUN
ajst-28824	170	12	,	,	PUNCT
ajst-28824	170	13	gnanakaran	gnanakaran	NOUN
ajst-28824	170	14	,	,	PUNCT
ajst-28824	170	15	s.	s.	PROPN
ajst-28824	170	16	,	,	PUNCT
ajst-28824	170	17	yoon	yoon	PROPN
ajst-28824	170	18	,	,	PUNCT
ajst-28824	170	19	h.	h.	PROPN
ajst-28824	170	20	,	,	PUNCT
ajst-28824	170	21	theiler	theiler	NOUN
ajst-28824	170	22	,	,	PUNCT
ajst-28824	170	23	j.	j.	PROPN
ajst-28824	170	24	,	,	PUNCT
ajst-28824	170	25	abfalterer	abfalterer	PROPN
ajst-28824	170	26	,	,	PUNCT
ajst-28824	170	27	w.	w.	PROPN
ajst-28824	170	28	,	,	PUNCT
ajst-28824	170	29	...	...	PUNCT
ajst-28824	170	30	&	&	CCONJ
ajst-28824	170	31	montefiori	montefiori	PROPN
ajst-28824	170	32	,	,	PUNCT
ajst-28824	170	33	d.	d.	PROPN
ajst-28824	170	34	c.	c.	PROPN
ajst-28824	170	35	(	(	PUNCT
ajst-28824	170	36	2020	2020	NUM
ajst-28824	170	37	)	)	PUNCT
ajst-28824	170	38	.	.	PUNCT
ajst-28824	171	1	tracking	track	VERB
ajst-28824	171	2	changes	change	NOUN
ajst-28824	171	3	in	in	ADP
ajst-28824	171	4	sars	sar	NOUN
ajst-28824	171	5	-	-	PUNCT
ajst-28824	171	6	cov-2	cov-2	NOUN
ajst-28824	171	7	spike	spike	NOUN
ajst-28824	171	8	:	:	PUNCT
ajst-28824	171	9	evidence	evidence	NOUN
ajst-28824	171	10	that	that	SCONJ
ajst-28824	171	11	d614	d614	PROPN
ajst-28824	171	12	g	g	PROPN
ajst-28824	171	13	increases	increase	VERB
ajst-28824	171	14	infectivity	infectivity	NOUN
ajst-28824	171	15	of	of	ADP
ajst-28824	171	16	the	the	DET
ajst-28824	171	17	covid-19	covid-19	PROPN
ajst-28824	171	18	virus	virus	NOUN
ajst-28824	171	19	.	.	PUNCT
ajst-28824	172	1	cell	cell	NOUN
ajst-28824	172	2	,	,	PUNCT
ajst-28824	172	3	182(4	182(4	NUM
ajst-28824	172	4	)	)	PUNCT
ajst-28824	172	5	,	,	PUNCT
ajst-28824	172	6	812	812	NUM
ajst-28824	172	7	-	-	SYM
ajst-28824	172	8	827	827	NUM
ajst-28824	172	9	.	.	PUNCT
ajst-28824	173	1	[	[	X
ajst-28824	173	2	3	3	NUM
ajst-28824	173	3	]	]	X
ajst-28824	173	4	zhang	zhang	PROPN
ajst-28824	173	5	,	,	PUNCT
ajst-28824	173	6	j.	j.	PROPN
ajst-28824	173	7	,	,	PUNCT
ajst-28824	173	8	&	&	CCONJ
ajst-28824	173	9	liu	liu	PROPN
ajst-28824	173	10	,	,	PUNCT
ajst-28824	173	11	b.	b.	PROPN
ajst-28824	173	12	(	(	PUNCT
ajst-28824	173	13	2019	2019	NUM
ajst-28824	173	14	)	)	PUNCT
ajst-28824	173	15	.	.	PUNCT
ajst-28824	174	1	a	a	DET
ajst-28824	174	2	review	review	NOUN
ajst-28824	174	3	on	on	ADP
ajst-28824	174	4	the	the	DET
ajst-28824	174	5	recent	recent	ADJ
ajst-28824	174	6	developments	development	NOUN
ajst-28824	174	7	of	of	ADP
ajst-28824	174	8	sequence	sequence	NOUN
ajst-28824	174	9	-	-	PUNCT
ajst-28824	174	10	based	base	VERB
ajst-28824	174	11	protein	protein	NOUN
ajst-28824	174	12	feature	feature	NOUN
ajst-28824	174	13	extraction	extraction	NOUN
ajst-28824	174	14	methods	method	NOUN
ajst-28824	174	15	.	.	PUNCT
ajst-28824	175	1	current	current	ADJ
ajst-28824	175	2	bioinformatics	bioinformatic	NOUN
ajst-28824	175	3	,	,	PUNCT
ajst-28824	175	4	14(3	14(3	NUM
ajst-28824	175	5	)	)	PUNCT
ajst-28824	175	6	,	,	PUNCT
ajst-28824	175	7	190	190	NUM
ajst-28824	175	8	-	-	SYM
ajst-28824	175	9	199	199	NUM
ajst-28824	175	10	.	.	PUNCT
ajst-28824	176	1	[	[	X
ajst-28824	176	2	4	4	NUM
ajst-28824	176	3	]	]	PUNCT
ajst-28824	176	4	bzhalava	bzhalava	PROPN
ajst-28824	176	5	,	,	PUNCT
ajst-28824	176	6	z.	z.	PROPN
ajst-28824	176	7	,	,	PUNCT
ajst-28824	176	8	tampuu	tampuu	PROPN
ajst-28824	176	9	,	,	PUNCT
ajst-28824	176	10	a.	a.	NOUN
ajst-28824	176	11	,	,	PUNCT
ajst-28824	176	12	bała	bała	NOUN
ajst-28824	176	13	,	,	PUNCT
ajst-28824	176	14	p.	p.	PROPN
ajst-28824	176	15	,	,	PUNCT
ajst-28824	176	16	vicente	vicente	PROPN
ajst-28824	176	17	,	,	PUNCT
ajst-28824	176	18	r.	r.	PROPN
ajst-28824	176	19	,	,	PUNCT
ajst-28824	176	20	&	&	CCONJ
ajst-28824	176	21	dillner	dillner	PROPN
ajst-28824	176	22	,	,	PUNCT
ajst-28824	176	23	j.	j.	PROPN
ajst-28824	176	24	(	(	PUNCT
ajst-28824	176	25	2018	2018	NUM
ajst-28824	176	26	)	)	PUNCT
ajst-28824	176	27	.	.	PUNCT
ajst-28824	177	1	machine	machine	NOUN
ajst-28824	177	2	learning	learn	VERB
ajst-28824	177	3	for	for	ADP
ajst-28824	177	4	detection	detection	NOUN
ajst-28824	177	5	of	of	ADP
ajst-28824	177	6	viral	viral	ADJ
ajst-28824	177	7	sequences	sequence	NOUN
ajst-28824	177	8	in	in	ADP
ajst-28824	177	9	human	human	ADJ
ajst-28824	177	10	metagenomic	metagenomic	ADJ
ajst-28824	177	11	datasets	dataset	NOUN
ajst-28824	177	12	.	.	PUNCT
ajst-28824	178	1	bmc	bmc	ADJ
ajst-28824	178	2	bioinformatics	bioinformatics	PROPN
ajst-28824	178	3	,	,	PUNCT
ajst-28824	178	4	19	19	NUM
ajst-28824	178	5	,	,	PUNCT
ajst-28824	178	6	1	1	NUM
ajst-28824	178	7	-	-	SYM
ajst-28824	178	8	11	11	NUM
ajst-28824	178	9	.	.	PUNCT
ajst-28824	179	1	[	[	X
ajst-28824	179	2	5	5	NUM
ajst-28824	179	3	]	]	X
ajst-28824	179	4	song	song	NOUN
ajst-28824	179	5	,	,	PUNCT
ajst-28824	179	6	w.	w.	PROPN
ajst-28824	179	7	,	,	PUNCT
ajst-28824	179	8	ji	ji	PROPN
ajst-28824	179	9	,	,	PUNCT
ajst-28824	179	10	c.	c.	PROPN
ajst-28824	179	11	,	,	PUNCT
ajst-28824	179	12	chen	chen	PROPN
ajst-28824	179	13	,	,	PUNCT
ajst-28824	179	14	z.	z.	PROPN
ajst-28824	179	15	,	,	PUNCT
ajst-28824	179	16	cai	cai	PROPN
ajst-28824	179	17	,	,	PUNCT
ajst-28824	179	18	h.	h.	PROPN
ajst-28824	179	19	,	,	PUNCT
ajst-28824	179	20	wu	wu	PROPN
ajst-28824	179	21	,	,	PUNCT
ajst-28824	179	22	x.	x.	PROPN
ajst-28824	179	23	,	,	PUNCT
ajst-28824	179	24	shi	shi	PROPN
ajst-28824	179	25	,	,	PUNCT
ajst-28824	179	26	c.	c.	PROPN
ajst-28824	179	27	,	,	PUNCT
ajst-28824	179	28	&	&	CCONJ
ajst-28824	179	29	wang	wang	PROPN
ajst-28824	179	30	,	,	PUNCT
ajst-28824	179	31	s.	s.	PROPN
ajst-28824	179	32	(	(	PUNCT
ajst-28824	179	33	2022	2022	NUM
ajst-28824	179	34	)	)	PUNCT
ajst-28824	179	35	.	.	PUNCT
ajst-28824	180	1	comparative	comparative	ADJ
ajst-28824	180	2	analysis	analysis	NOUN
ajst-28824	180	3	the	the	DET
ajst-28824	180	4	complete	complete	ADJ
ajst-28824	180	5	chloroplast	chloroplast	NOUN
ajst-28824	180	6	genomes	genome	NOUN
ajst-28824	180	7	of	of	ADP
ajst-28824	180	8	nine	nine	NUM
ajst-28824	180	9	musa	musa	PROPN
ajst-28824	180	10	species	specie	NOUN
ajst-28824	180	11	:	:	PUNCT
ajst-28824	180	12	genomic	genomic	NOUN
ajst-28824	180	13	features	feature	NOUN
ajst-28824	180	14	,	,	PUNCT
ajst-28824	180	15	comparative	comparative	ADJ
ajst-28824	180	16	analysis	analysis	NOUN
ajst-28824	180	17	,	,	PUNCT
ajst-28824	180	18	and	and	CCONJ
ajst-28824	180	19	phylogenetic	phylogenetic	ADJ
ajst-28824	180	20	implications	implication	NOUN
ajst-28824	180	21	.	.	PUNCT
ajst-28824	181	1	frontiers	frontier	NOUN
ajst-28824	181	2	in	in	ADP
ajst-28824	181	3	plant	plant	NOUN
ajst-28824	181	4	science	science	NOUN
ajst-28824	181	5	,	,	PUNCT
ajst-28824	181	6	13	13	NUM
ajst-28824	181	7	,	,	PUNCT
ajst-28824	181	8	832884	832884	NUM
ajst-28824	181	9	.	.	PUNCT
ajst-28824	182	1	[	[	X
ajst-28824	182	2	6	6	NUM
ajst-28824	182	3	]	]	X
ajst-28824	182	4	oh	oh	INTJ
ajst-28824	182	5	,	,	PUNCT
ajst-28824	182	6	j.	j.	PROPN
ajst-28824	182	7	w.	w.	PROPN
ajst-28824	182	8	,	,	PUNCT
ajst-28824	182	9	&	&	CCONJ
ajst-28824	182	10	beer	beer	NOUN
ajst-28824	182	11	,	,	PUNCT
ajst-28824	182	12	m.	m.	NOUN
ajst-28824	182	13	a.	a.	NOUN
ajst-28824	182	14	(	(	PUNCT
ajst-28824	182	15	2024	2024	NUM
ajst-28824	182	16	)	)	PUNCT
ajst-28824	182	17	.	.	PUNCT
ajst-28824	183	1	gapped	gap	VERB
ajst-28824	183	2	-	-	PUNCT
ajst-28824	183	3	kmer	kmer	NOUN
ajst-28824	183	4	sequence	sequence	NOUN
ajst-28824	183	5	modeling	modeling	NOUN
ajst-28824	183	6	robustly	robustly	ADV
ajst-28824	183	7	identifies	identify	VERB
ajst-28824	183	8	regulatory	regulatory	ADJ
ajst-28824	183	9	vocabularies	vocabulary	NOUN
ajst-28824	183	10	and	and	CCONJ
ajst-28824	183	11	distal	distal	ADJ
ajst-28824	183	12	enhancers	enhancer	NOUN
ajst-28824	183	13	conserved	conserve	VERB
ajst-28824	183	14	between	between	ADP
ajst-28824	183	15	evolutionarily	evolutionarily	ADV
ajst-28824	183	16	distant	distant	ADJ
ajst-28824	183	17	mammals	mammal	NOUN
ajst-28824	183	18	.	.	PUNCT
ajst-28824	184	1	nature	nature	NOUN
ajst-28824	184	2	communications	communication	NOUN
ajst-28824	184	3	,	,	PUNCT
ajst-28824	184	4	15(1	15(1	NUM
ajst-28824	184	5	)	)	PUNCT
ajst-28824	184	6	,	,	PUNCT
ajst-28824	184	7	6464	6464	NUM
ajst-28824	184	8	.	.	PUNCT
ajst-28824	185	1	[	[	X
ajst-28824	185	2	7	7	X
ajst-28824	185	3	]	]	X
ajst-28824	185	4	kaniwa	kaniwa	PROPN
ajst-28824	185	5	,	,	PUNCT
ajst-28824	185	6	f.	f.	PROPN
ajst-28824	185	7	(	(	PUNCT
ajst-28824	185	8	2018	2018	NUM
ajst-28824	185	9	)	)	PUNCT
ajst-28824	185	10	.	.	PUNCT
ajst-28824	186	1	a	a	DET
ajst-28824	186	2	kmer	kmer	NOUN
ajst-28824	186	3	-	-	PUNCT
ajst-28824	186	4	based	base	VERB
ajst-28824	186	5	parallel	parallel	ADJ
ajst-28824	186	6	algorithm	algorithm	NOUN
ajst-28824	186	7	for	for	ADP
ajst-28824	186	8	pattern	pattern	NOUN
ajst-28824	186	9	searching	search	VERB
ajst-28824	186	10	in	in	ADP
ajst-28824	186	11	dna	dna	PROPN
ajst-28824	186	12	sequences	sequence	NOUN
ajst-28824	186	13	on	on	ADP
ajst-28824	186	14	shared	share	VERB
ajst-28824	186	15	-	-	PUNCT
ajst-28824	186	16	memory	memory	NOUN
ajst-28824	186	17	model	model	NOUN
ajst-28824	186	18	(	(	PUNCT
ajst-28824	186	19	doctoral	doctoral	ADJ
ajst-28824	186	20	dissertation	dissertation	NOUN
ajst-28824	186	21	,	,	PUNCT
ajst-28824	186	22	botswana	botswana	PROPN
ajst-28824	186	23	international	international	PROPN
ajst-28824	186	24	university	university	PROPN
ajst-28824	186	25	of	of	ADP
ajst-28824	186	26	science	science	PROPN
ajst-28824	186	27	&	&	CCONJ
ajst-28824	186	28	technology	technology	PROPN
ajst-28824	186	29	(	(	PUNCT
ajst-28824	186	30	botswana	botswana	PROPN
ajst-28824	186	31	)	)	PUNCT
ajst-28824	186	32	)	)	PUNCT
ajst-28824	186	33	.	.	PUNCT
ajst-28824	187	1	[	[	X
ajst-28824	187	2	8	8	NUM
ajst-28824	187	3	]	]	X
ajst-28824	187	4	sharp	sharp	ADJ
ajst-28824	187	5	,	,	PUNCT
ajst-28824	187	6	p.	p.	NOUN
ajst-28824	187	7	m.	m.	NOUN
ajst-28824	187	8	,	,	PUNCT
ajst-28824	187	9	&	&	CCONJ
ajst-28824	187	10	li	li	PROPN
ajst-28824	187	11	,	,	PUNCT
ajst-28824	187	12	w.	w.	PROPN
ajst-28824	187	13	h.	h.	PROPN
ajst-28824	187	14	(	(	PUNCT
ajst-28824	187	15	1987	1987	NUM
ajst-28824	187	16	)	)	PUNCT
ajst-28824	187	17	.	.	PUNCT
ajst-28824	188	1	the	the	DET
ajst-28824	188	2	codon	codon	ADJ
ajst-28824	188	3	adaptation	adaptation	NOUN
ajst-28824	188	4	indexa	indexa	ADJ
ajst-28824	188	5	measure	measure	NOUN
ajst-28824	188	6	of	of	ADP
ajst-28824	188	7	directional	directional	ADJ
ajst-28824	188	8	synonymous	synonymous	ADJ
ajst-28824	188	9	codon	codon	ADJ
ajst-28824	188	10	usage	usage	NOUN
ajst-28824	188	11	bias	bias	NOUN
ajst-28824	188	12	,	,	PUNCT
ajst-28824	188	13	and	and	CCONJ
ajst-28824	188	14	its	its	PRON
ajst-28824	188	15	potential	potential	ADJ
ajst-28824	188	16	applications	application	NOUN
ajst-28824	188	17	.	.	PUNCT
ajst-28824	189	1	nucleic	nucleic	ADJ
ajst-28824	189	2	acids	acid	NOUN
ajst-28824	189	3	research	research	NOUN
ajst-28824	189	4	,	,	PUNCT
ajst-28824	189	5	15(3	15(3	NUM
ajst-28824	189	6	)	)	PUNCT
ajst-28824	189	7	,	,	PUNCT
ajst-28824	189	8	12811295	12811295	NUM
ajst-28824	189	9	.	.	PUNCT
ajst-28824	190	1	[	[	X
ajst-28824	190	2	9	9	NUM
ajst-28824	190	3	]	]	SYM
ajst-28824	190	4	novoa	novoa	NOUN
ajst-28824	190	5	,	,	PUNCT
ajst-28824	190	6	e.	e.	PROPN
ajst-28824	190	7	m.	m.	PROPN
ajst-28824	190	8	,	,	PUNCT
ajst-28824	190	9	&	&	CCONJ
ajst-28824	190	10	de	de	PROPN
ajst-28824	190	11	pouplana	pouplana	PROPN
ajst-28824	190	12	,	,	PUNCT
ajst-28824	190	13	l.	l.	PROPN
ajst-28824	190	14	r.	r.	PROPN
ajst-28824	190	15	(	(	PUNCT
ajst-28824	190	16	2012	2012	NUM
ajst-28824	190	17	)	)	PUNCT
ajst-28824	190	18	.	.	PUNCT
ajst-28824	191	1	speeding	speed	VERB
ajst-28824	191	2	with	with	ADP
ajst-28824	191	3	control	control	NOUN
ajst-28824	191	4	:	:	PUNCT
ajst-28824	191	5	codon	codon	ADJ
ajst-28824	191	6	usage	usage	NOUN
ajst-28824	191	7	,	,	PUNCT
ajst-28824	191	8	trnas	trnas	NOUN
ajst-28824	191	9	,	,	PUNCT
ajst-28824	191	10	and	and	CCONJ
ajst-28824	191	11	ribosomes	ribosome	NOUN
ajst-28824	191	12	.	.	PUNCT
ajst-28824	192	1	trends	trend	NOUN
ajst-28824	192	2	in	in	ADP
ajst-28824	192	3	genetics	genetic	NOUN
ajst-28824	192	4	,	,	PUNCT
ajst-28824	192	5	28(11	28(11	NUM
ajst-28824	192	6	)	)	PUNCT
ajst-28824	192	7	,	,	PUNCT
ajst-28824	192	8	574	574	NUM
ajst-28824	192	9	-	-	SYM
ajst-28824	192	10	581	581	NUM
ajst-28824	192	11	.	.	PUNCT
ajst-28824	193	1	[	[	X
ajst-28824	193	2	10	10	NUM
ajst-28824	193	3	]	]	X
ajst-28824	193	4	khandia	khandia	PROPN
ajst-28824	193	5	,	,	PUNCT
ajst-28824	193	6	r.	r.	PROPN
ajst-28824	193	7	,	,	PUNCT
ajst-28824	193	8	gurjar	gurjar	NOUN
ajst-28824	193	9	,	,	PUNCT
ajst-28824	193	10	p.	p.	NOUN
ajst-28824	193	11	,	,	PUNCT
ajst-28824	193	12	kamal	kamal	PROPN
ajst-28824	193	13	,	,	PUNCT
ajst-28824	193	14	m.	m.	NOUN
ajst-28824	193	15	a.	a.	PROPN
ajst-28824	193	16	,	,	PUNCT
ajst-28824	193	17	&	&	CCONJ
ajst-28824	193	18	greig	greig	PROPN
ajst-28824	193	19	,	,	PUNCT
ajst-28824	193	20	n.	n.	PROPN
ajst-28824	193	21	h.	h.	PROPN
ajst-28824	193	22	(	(	PUNCT
ajst-28824	193	23	2024	2024	NUM
ajst-28824	193	24	)	)	PUNCT
ajst-28824	193	25	.	.	PUNCT
ajst-28824	194	1	relative	relative	ADJ
ajst-28824	194	2	synonymous	synonymous	ADJ
ajst-28824	194	3	codon	codon	NOUN
ajst-28824	194	4	usage	usage	NOUN
ajst-28824	194	5	and	and	CCONJ
ajst-28824	194	6	codon	codon	ADJ
ajst-28824	194	7	pair	pair	NOUN
ajst-28824	194	8	analysis	analysis	NOUN
ajst-28824	194	9	of	of	ADP
ajst-28824	194	10	depression	depression	NOUN
ajst-28824	194	11	associated	associate	VERB
ajst-28824	194	12	genes	gene	NOUN
ajst-28824	194	13	.	.	PUNCT
ajst-28824	195	1	scientific	scientific	ADJ
ajst-28824	195	2	reports	report	NOUN
ajst-28824	195	3	,	,	PUNCT
ajst-28824	195	4	14(1	14(1	NUM
ajst-28824	195	5	)	)	PUNCT
ajst-28824	195	6	,	,	PUNCT
ajst-28824	195	7	3502	3502	NUM
ajst-28824	196	1	[	[	X
ajst-28824	196	2	11	11	NUM
ajst-28824	196	3	]	]	X
ajst-28824	196	4	schneider	schneider	NOUN
ajst-28824	196	5	,	,	PUNCT
ajst-28824	196	6	t.	t.	PROPN
ajst-28824	196	7	d.	d.	PROPN
ajst-28824	196	8	,	,	PUNCT
ajst-28824	196	9	&	&	CCONJ
ajst-28824	196	10	stephens	stephens	PROPN
ajst-28824	196	11	,	,	PUNCT
ajst-28824	196	12	r.	r.	PROPN
ajst-28824	196	13	m.	m.	PROPN
ajst-28824	196	14	(	(	PUNCT
ajst-28824	196	15	1990	1990	NUM
ajst-28824	196	16	)	)	PUNCT
ajst-28824	196	17	.	.	PUNCT
ajst-28824	197	1	sequence	sequence	NOUN
ajst-28824	197	2	logos	logo	NOUN
ajst-28824	197	3	:	:	PUNCT
ajst-28824	197	4	a	a	DET
ajst-28824	197	5	new	new	ADJ
ajst-28824	197	6	way	way	NOUN
ajst-28824	197	7	to	to	PART
ajst-28824	197	8	display	display	VERB
ajst-28824	197	9	consensus	consensus	NOUN
ajst-28824	197	10	sequences	sequence	NOUN
ajst-28824	197	11	.	.	PUNCT
ajst-28824	198	1	nucleic	nucleic	ADJ
ajst-28824	198	2	acids	acid	NOUN
ajst-28824	198	3	research	research	NOUN
ajst-28824	198	4	,	,	PUNCT
ajst-28824	198	5	18(20	18(20	NUM
ajst-28824	198	6	)	)	PUNCT
ajst-28824	198	7	,	,	PUNCT
ajst-28824	198	8	6097	6097	NUM
ajst-28824	198	9	-	-	SYM
ajst-28824	198	10	6100	6100	NUM
ajst-28824	198	11	.	.	PUNCT
ajst-28824	199	1	[	[	X
ajst-28824	199	2	12	12	NUM
ajst-28824	199	3	]	]	PUNCT
ajst-28824	199	4	he	he	PRON
ajst-28824	199	5	,	,	PUNCT
ajst-28824	199	6	c.	c.	PROPN
ajst-28824	199	7	,	,	PUNCT
ajst-28824	199	8	washburn	washburn	PROPN
ajst-28824	199	9	,	,	PUNCT
ajst-28824	199	10	j.	j.	PROPN
ajst-28824	199	11	d.	d.	PROPN
ajst-28824	199	12	,	,	PUNCT
ajst-28824	199	13	schleif	schleif	VERB
ajst-28824	199	14	,	,	PUNCT
ajst-28824	199	15	n.	n.	PROPN
ajst-28824	199	16	,	,	PUNCT
ajst-28824	199	17	hao	hao	PROPN
ajst-28824	199	18	,	,	PUNCT
ajst-28824	199	19	y.	y.	PROPN
ajst-28824	199	20	,	,	PUNCT
ajst-28824	199	21	kaeppler	kaeppler	PROPN
ajst-28824	199	22	,	,	PUNCT
ajst-28824	199	23	h.	h.	PROPN
ajst-28824	199	24	,	,	PUNCT
ajst-28824	199	25	kaeppler	kaeppler	PROPN
ajst-28824	199	26	,	,	PUNCT
ajst-28824	199	27	s.	s.	PROPN
ajst-28824	199	28	m.	m.	PROPN
ajst-28824	199	29	,	,	PUNCT
ajst-28824	199	30	...	...	PUNCT
ajst-28824	199	31	&	&	CCONJ
ajst-28824	199	32	liu	liu	PROPN
ajst-28824	199	33	,	,	PUNCT
ajst-28824	199	34	s.	s.	PROPN
ajst-28824	199	35	(	(	PUNCT
ajst-28824	199	36	2024	2024	NUM
ajst-28824	199	37	)	)	PUNCT
ajst-28824	199	38	.	.	PUNCT
ajst-28824	200	1	trait	trait	NOUN
ajst-28824	200	2	association	association	NOUN
ajst-28824	200	3	and	and	CCONJ
ajst-28824	200	4	prediction	prediction	NOUN
ajst-28824	200	5	through	through	ADP
ajst-28824	200	6	integrative	integrative	ADJ
ajst-28824	200	7	k‐mer	k‐mer	ADJ
ajst-28824	200	8	analysis	analysis	NOUN
ajst-28824	200	9	.	.	PUNCT
ajst-28824	201	1	the	the	DET
ajst-28824	201	2	plant	plant	NOUN
ajst-28824	201	3	journal	journal	NOUN
ajst-28824	201	4	,	,	PUNCT
ajst-28824	201	5	120(2	120(2	NUM
ajst-28824	201	6	)	)	PUNCT
ajst-28824	201	7	,	,	PUNCT
ajst-28824	201	8	833	833	NUM
ajst-28824	201	9	-	-	SYM
ajst-28824	201	10	850	850	NUM
ajst-28824	201	11	.	.	PUNCT
ajst-28824	202	1	[	[	X
ajst-28824	202	2	13	13	NUM
ajst-28824	202	3	]	]	PUNCT
ajst-28824	202	4	moeckel	moeckel	NOUN
ajst-28824	202	5	,	,	PUNCT
ajst-28824	202	6	c.	c.	PROPN
ajst-28824	202	7	,	,	PUNCT
ajst-28824	202	8	mareboina	mareboina	PROPN
ajst-28824	202	9	,	,	PUNCT
ajst-28824	202	10	m.	m.	NOUN
ajst-28824	202	11	,	,	PUNCT
ajst-28824	202	12	konnaris	konnaris	NOUN
ajst-28824	202	13	,	,	PUNCT
ajst-28824	202	14	m.	m.	NOUN
ajst-28824	202	15	a.	a.	PROPN
ajst-28824	202	16	,	,	PUNCT
ajst-28824	202	17	chan	chan	PROPN
ajst-28824	202	18	,	,	PUNCT
ajst-28824	202	19	c.	c.	PROPN
ajst-28824	202	20	s.	s.	PROPN
ajst-28824	202	21	,	,	PUNCT
ajst-28824	202	22	mouratidis	mouratidis	PROPN
ajst-28824	202	23	,	,	PUNCT
ajst-28824	202	24	i.	i.	PROPN
ajst-28824	202	25	,	,	PUNCT
ajst-28824	202	26	montgomery	montgomery	PROPN
ajst-28824	202	27	,	,	PUNCT
ajst-28824	202	28	a.	a.	PROPN
ajst-28824	202	29	,	,	PUNCT
ajst-28824	202	30	...	...	PUNCT
ajst-28824	202	31	&	&	CCONJ
ajst-28824	202	32	georgakopoulos	georgakopoulos	PROPN
ajst-28824	202	33	-	-	PUNCT
ajst-28824	202	34	soares	soares	PROPN
ajst-28824	202	35	,	,	PUNCT
ajst-28824	202	36	i.	i.	PROPN
ajst-28824	202	37	(	(	PUNCT
ajst-28824	202	38	2024	2024	NUM
ajst-28824	202	39	)	)	PUNCT
ajst-28824	202	40	.	.	PUNCT
ajst-28824	203	1	a	a	DET
ajst-28824	203	2	survey	survey	NOUN
ajst-28824	203	3	of	of	ADP
ajst-28824	203	4	k	k	PROPN
ajst-28824	203	5	-	-	PUNCT
ajst-28824	203	6	mer	mer	NOUN
ajst-28824	203	7	methods	method	NOUN
ajst-28824	203	8	and	and	CCONJ
ajst-28824	203	9	applications	application	NOUN
ajst-28824	203	10	in	in	ADP
ajst-28824	203	11	bioinformatics	bioinformatics	NOUN
ajst-28824	203	12	.	.	PUNCT
ajst-28824	204	1	computational	computational	ADJ
ajst-28824	204	2	and	and	CCONJ
ajst-28824	204	3	structural	structural	ADJ
ajst-28824	204	4	biotechnology	biotechnology	NOUN
ajst-28824	204	5	journal	journal	NOUN
ajst-28824	204	6	.	.	PUNCT
ajst-28824	205	1	[	[	X
ajst-28824	205	2	14	14	NUM
ajst-28824	205	3	]	]	X
ajst-28824	205	4	van	van	PROPN
ajst-28824	205	5	etten	etten	PROPN
ajst-28824	205	6	,	,	PUNCT
ajst-28824	205	7	j.	j.	PROPN
ajst-28824	205	8	,	,	PUNCT
ajst-28824	205	9	stephens	stephens	PROPN
ajst-28824	205	10	,	,	PUNCT
ajst-28824	205	11	t.	t.	PROPN
ajst-28824	205	12	g.	g.	PROPN
ajst-28824	205	13	,	,	PUNCT
ajst-28824	205	14	&	&	CCONJ
ajst-28824	205	15	bhattacharya	bhattacharya	PROPN
ajst-28824	205	16	,	,	PUNCT
ajst-28824	205	17	d.	d.	PROPN
ajst-28824	205	18	(	(	PUNCT
ajst-28824	205	19	2023	2023	NUM
ajst-28824	205	20	)	)	PUNCT
ajst-28824	205	21	.	.	PUNCT
ajst-28824	206	1	a	a	DET
ajst-28824	206	2	kmer	kmer	NOUN
ajst-28824	206	3	-	-	PUNCT
ajst-28824	206	4	based	base	VERB
ajst-28824	206	5	approach	approach	NOUN
ajst-28824	206	6	for	for	ADP
ajst-28824	206	7	phylogenetic	phylogenetic	ADJ
ajst-28824	206	8	classification	classification	NOUN
ajst-28824	206	9	of	of	ADP
ajst-28824	206	10	taxa	taxa	NOUN
ajst-28824	206	11	in	in	ADP
ajst-28824	206	12	environmental	environmental	ADJ
ajst-28824	206	13	genomic	genomic	NOUN
ajst-28824	206	14	data	datum	NOUN
ajst-28824	206	15	.	.	PUNCT
ajst-28824	207	1	systematic	systematic	ADJ
ajst-28824	207	2	biology	biology	NOUN
ajst-28824	207	3	,	,	PUNCT
ajst-28824	207	4	72(5	72(5	NOUN
ajst-28824	207	5	)	)	PUNCT
ajst-28824	207	6	,	,	PUNCT
ajst-28824	207	7	11011118	11011118	NUM
ajst-28824	207	8	.	.	PUNCT
ajst-28824	208	1	[	[	X
ajst-28824	208	2	15	15	NUM
ajst-28824	208	3	]	]	PUNCT
ajst-28824	208	4	tahara	tahara	NOUN
ajst-28824	208	5	,	,	PUNCT
ajst-28824	208	6	s.	s.	PROPN
ajst-28824	208	7	,	,	PUNCT
ajst-28824	208	8	tsuchiya	tsuchiya	PROPN
ajst-28824	208	9	,	,	PUNCT
ajst-28824	208	10	t.	t.	PROPN
ajst-28824	208	11	,	,	PUNCT
ajst-28824	208	12	matsumoto	matsumoto	PROPN
ajst-28824	208	13	,	,	PUNCT
ajst-28824	208	14	h.	h.	PROPN
ajst-28824	208	15	,	,	PUNCT
ajst-28824	208	16	&	&	CCONJ
ajst-28824	208	17	ozaki	ozaki	PROPN
ajst-28824	208	18	,	,	PUNCT
ajst-28824	208	19	h.	h.	PROPN
ajst-28824	208	20	(	(	PUNCT
ajst-28824	208	21	2023	2023	NUM
ajst-28824	208	22	)	)	PUNCT
ajst-28824	208	23	.	.	PUNCT
ajst-28824	209	1	transcription	transcription	NOUN
ajst-28824	209	2	factor	factor	NOUN
ajst-28824	209	3	-	-	PUNCT
ajst-28824	209	4	binding	bind	VERB
ajst-28824	209	5	k	k	ADJ
ajst-28824	209	6	-	-	PUNCT
ajst-28824	209	7	mer	mer	NOUN
ajst-28824	209	8	analysis	analysis	NOUN
ajst-28824	209	9	clarifies	clarify	VERB
ajst-28824	209	10	the	the	DET
ajst-28824	209	11	cell	cell	NOUN
ajst-28824	209	12	type	type	NOUN
ajst-28824	209	13	dependency	dependency	NOUN
ajst-28824	209	14	of	of	ADP
ajst-28824	209	15	binding	bind	VERB
ajst-28824	209	16	specificities	specificity	NOUN
ajst-28824	209	17	and	and	CCONJ
ajst-28824	209	18	cis	cis	NOUN
ajst-28824	209	19	-	-	ADJ
ajst-28824	209	20	regulatory	regulatory	ADJ
ajst-28824	209	21	snps	snps	NOUN
ajst-28824	209	22	in	in	ADP
ajst-28824	209	23	humans	human	NOUN
ajst-28824	209	24	.	.	PUNCT
ajst-28824	210	1	bmc	bmc	ADJ
ajst-28824	210	2	genomics	genomic	NOUN
ajst-28824	210	3	,	,	PUNCT
ajst-28824	210	4	24(1	24(1	NUM
ajst-28824	210	5	)	)	PUNCT
ajst-28824	210	6	,	,	PUNCT
ajst-28824	210	7	597	597	NUM
ajst-28824	210	8	.	.	PUNCT
ajst-28824	211	1	[	[	X
ajst-28824	211	2	16	16	NUM
ajst-28824	211	3	]	]	X
ajst-28824	211	4	gupta	gupta	PROPN
ajst-28824	211	5	,	,	PUNCT
ajst-28824	211	6	s.	s.	PROPN
ajst-28824	211	7	,	,	PUNCT
ajst-28824	211	8	&	&	CCONJ
ajst-28824	211	9	shankar	shankar	PROPN
ajst-28824	211	10	,	,	PUNCT
ajst-28824	211	11	r.	r.	PROPN
ajst-28824	211	12	(	(	PUNCT
ajst-28824	211	13	2024	2024	NUM
ajst-28824	211	14	)	)	PUNCT
ajst-28824	211	15	.	.	PUNCT
ajst-28824	212	1	comprehensive	comprehensive	ADJ
ajst-28824	212	2	analysis	analysis	NOUN
ajst-28824	212	3	of	of	ADP
ajst-28824	212	4	computational	computational	ADJ
ajst-28824	212	5	approaches	approach	NOUN
ajst-28824	212	6	in	in	ADP
ajst-28824	212	7	plant	plant	NOUN
ajst-28824	212	8	transcription	transcription	NOUN
ajst-28824	212	9	factors	factor	VERB
ajst-28824	212	10	binding	bind	VERB
ajst-28824	212	11	regions	region	NOUN
ajst-28824	212	12	discovery	discovery	NOUN
ajst-28824	212	13	.	.	PUNCT
ajst-28824	213	1	heliyon	heliyon	NOUN
ajst-28824	213	2	,	,	PUNCT
ajst-28824	213	3	10(20	10(20	NUM
ajst-28824	213	4	)	)	PUNCT
ajst-28824	213	5	.	.	PUNCT
ajst-28824	214	1	[	[	X
ajst-28824	214	2	17	17	NUM
ajst-28824	214	3	]	]	X
ajst-28824	214	4	nguyen	nguyen	NOUN
ajst-28824	214	5	,	,	PUNCT
ajst-28824	214	6	e.	e.	PROPN
ajst-28824	214	7	,	,	PUNCT
ajst-28824	214	8	poli	poli	PROPN
ajst-28824	214	9	,	,	PUNCT
ajst-28824	214	10	m.	m.	NOUN
ajst-28824	214	11	,	,	PUNCT
ajst-28824	214	12	faizi	faizi	PROPN
ajst-28824	214	13	,	,	PUNCT
ajst-28824	214	14	m.	m.	NOUN
ajst-28824	214	15	,	,	PUNCT
ajst-28824	214	16	thomas	thomas	PROPN
ajst-28824	214	17	,	,	PUNCT
ajst-28824	214	18	a.	a.	PROPN
ajst-28824	214	19	,	,	PUNCT
ajst-28824	214	20	wornow	wornow	NOUN
ajst-28824	214	21	,	,	PUNCT
ajst-28824	214	22	m.	m.	NOUN
ajst-28824	214	23	,	,	PUNCT
ajst-28824	214	24	birch	birch	NOUN
ajst-28824	214	25	-	-	PUNCT
ajst-28824	214	26	sykes	sykes	PROPN
ajst-28824	214	27	,	,	PUNCT
ajst-28824	214	28	c.	c.	PROPN
ajst-28824	214	29	,	,	PUNCT
ajst-28824	214	30	...	...	PUNCT
ajst-28824	214	31	&	&	CCONJ
ajst-28824	214	32	baccus	baccus	PROPN
ajst-28824	214	33	,	,	PUNCT
ajst-28824	214	34	s.	s.	PROPN
ajst-28824	214	35	(	(	PUNCT
ajst-28824	214	36	2024	2024	NUM
ajst-28824	214	37	)	)	PUNCT
ajst-28824	214	38	.	.	PUNCT
ajst-28824	215	1	hyenadna	hyenadna	ADV
ajst-28824	215	2	:	:	PUNCT
ajst-28824	215	3	longrange	longrange	ADJ
ajst-28824	215	4	genomic	genomic	NOUN
ajst-28824	215	5	sequence	sequence	NOUN
ajst-28824	215	6	modeling	modeling	NOUN
ajst-28824	215	7	at	at	ADP
ajst-28824	215	8	single	single	ADJ
ajst-28824	215	9	nucleotide	nucleotide	NOUN
ajst-28824	215	10	resolution	resolution	NOUN
ajst-28824	215	11	.	.	PUNCT
ajst-28824	216	1	advances	advance	NOUN
ajst-28824	216	2	in	in	ADP
ajst-28824	216	3	neural	neural	ADJ
ajst-28824	216	4	information	information	NOUN
ajst-28824	216	5	processing	processing	NOUN
ajst-28824	216	6	systems	system	NOUN
ajst-28824	216	7	,	,	PUNCT
ajst-28824	216	8	36	36	NUM
ajst-28824	216	9	.	.	PUNCT
ajst-28824	217	1	[	[	X
ajst-28824	217	2	18	18	NUM
ajst-28824	217	3	]	]	X
ajst-28824	217	4	sievers	siever	NOUN
ajst-28824	217	5	,	,	PUNCT
ajst-28824	217	6	a.	a.	NOUN
ajst-28824	217	7	,	,	PUNCT
ajst-28824	217	8	bosiek	bosiek	NOUN
ajst-28824	217	9	,	,	PUNCT
ajst-28824	217	10	k.	k.	PROPN
ajst-28824	217	11	,	,	PUNCT
ajst-28824	217	12	bisch	bisch	PROPN
ajst-28824	217	13	,	,	PUNCT
ajst-28824	217	14	m.	m.	NOUN
ajst-28824	217	15	,	,	PUNCT
ajst-28824	217	16	dreessen	dreessen	PROPN
ajst-28824	217	17	,	,	PUNCT
ajst-28824	217	18	c.	c.	PROPN
ajst-28824	217	19	,	,	PUNCT
ajst-28824	217	20	riedel	riedel	PROPN
ajst-28824	217	21	,	,	PUNCT
ajst-28824	217	22	j.	j.	PROPN
ajst-28824	217	23	,	,	PUNCT
ajst-28824	217	24	froß	froß	PROPN
ajst-28824	217	25	,	,	PUNCT
ajst-28824	217	26	p.	p.	PROPN
ajst-28824	217	27	,	,	PUNCT
ajst-28824	217	28	...	...	PUNCT
ajst-28824	217	29	&	&	CCONJ
ajst-28824	217	30	hildenbrand	hildenbrand	PROPN
ajst-28824	217	31	,	,	PUNCT
ajst-28824	217	32	g.	g.	PROPN
ajst-28824	217	33	(	(	PUNCT
ajst-28824	217	34	2017	2017	NUM
ajst-28824	217	35	)	)	PUNCT
ajst-28824	217	36	.	.	PUNCT
ajst-28824	218	1	k	k	PROPN
ajst-28824	218	2	-	-	PUNCT
ajst-28824	218	3	mer	mer	PROPN
ajst-28824	218	4	content	content	NOUN
ajst-28824	218	5	,	,	PUNCT
ajst-28824	218	6	correlation	correlation	NOUN
ajst-28824	218	7	,	,	PUNCT
ajst-28824	218	8	and	and	CCONJ
ajst-28824	218	9	position	position	VERB
ajst-28824	218	10	analysis	analysis	NOUN
ajst-28824	218	11	of	of	ADP
ajst-28824	218	12	genome	genome	NOUN
ajst-28824	218	13	dna	dna	NOUN
ajst-28824	218	14	sequences	sequence	NOUN
ajst-28824	218	15	for	for	ADP
ajst-28824	218	16	the	the	DET
ajst-28824	218	17	identification	identification	NOUN
ajst-28824	218	18	of	of	ADP
ajst-28824	218	19	function	function	NOUN
ajst-28824	218	20	and	and	CCONJ
ajst-28824	218	21	evolutionary	evolutionary	ADJ
ajst-28824	218	22	features	feature	NOUN
ajst-28824	218	23	.	.	PUNCT
ajst-28824	219	1	genes	gene	NOUN
ajst-28824	219	2	,	,	PUNCT
ajst-28824	219	3	8(4	8(4	NUM
ajst-28824	219	4	)	)	PUNCT
ajst-28824	219	5	,	,	PUNCT
ajst-28824	219	6	122	122	NUM
ajst-28824	219	7	.	.	PUNCT
ajst-28824	220	1	[	[	X
ajst-28824	220	2	19	19	NUM
ajst-28824	220	3	]	]	X
ajst-28824	220	4	hadfield	hadfield	PROPN
ajst-28824	220	5	,	,	PUNCT
ajst-28824	220	6	j.	j.	PROPN
ajst-28824	220	7	,	,	PUNCT
ajst-28824	220	8	megill	megill	PROPN
ajst-28824	220	9	,	,	PUNCT
ajst-28824	220	10	c.	c.	PROPN
ajst-28824	220	11	,	,	PUNCT
ajst-28824	220	12	bell	bell	PROPN
ajst-28824	220	13	,	,	PUNCT
ajst-28824	220	14	s.	s.	PROPN
ajst-28824	220	15	m.	m.	PROPN
ajst-28824	220	16	,	,	PUNCT
ajst-28824	220	17	huddleston	huddleston	PROPN
ajst-28824	220	18	,	,	PUNCT
ajst-28824	220	19	j.	j.	PROPN
ajst-28824	220	20	,	,	PUNCT
ajst-28824	220	21	potter	potter	PROPN
ajst-28824	220	22	,	,	PUNCT
ajst-28824	220	23	b.	b.	PROPN
ajst-28824	220	24	,	,	PUNCT
ajst-28824	220	25	callender	callender	PROPN
ajst-28824	220	26	,	,	PUNCT
ajst-28824	220	27	c.	c.	PROPN
ajst-28824	220	28	,	,	PUNCT
ajst-28824	220	29	...	...	PUNCT
ajst-28824	220	30	&	&	CCONJ
ajst-28824	220	31	neher	neher	PROPN
ajst-28824	220	32	,	,	PUNCT
ajst-28824	220	33	r.	r.	PROPN
ajst-28824	220	34	a.	a.	PROPN
ajst-28824	220	35	(	(	PUNCT
ajst-28824	220	36	2018	2018	NUM
ajst-28824	220	37	)	)	PUNCT
ajst-28824	220	38	.	.	PUNCT
ajst-28824	221	1	nextstrain	nextstrain	PROPN
ajst-28824	221	2	:	:	PUNCT
ajst-28824	221	3	real	real	ADJ
ajst-28824	221	4	-	-	PUNCT
ajst-28824	221	5	time	time	NOUN
ajst-28824	221	6	tracking	tracking	NOUN
ajst-28824	221	7	of	of	ADP
ajst-28824	221	8	pathogen	pathogen	NOUN
ajst-28824	221	9	evolution	evolution	NOUN
ajst-28824	221	10	.	.	PUNCT
ajst-28824	222	1	bioinformatics	bioinformatic	NOUN
ajst-28824	222	2	,	,	PUNCT
ajst-28824	222	3	34(23	34(23	NOUN
ajst-28824	222	4	)	)	PUNCT
ajst-28824	222	5	,	,	PUNCT
ajst-28824	222	6	41214123	41214123	NUM
ajst-28824	222	7	.	.	PUNCT
ajst-28824	223	1	[	[	X
ajst-28824	223	2	20	20	NUM
ajst-28824	223	3	]	]	X
ajst-28824	223	4	endrullat	endrullat	ADJ
ajst-28824	223	5	,	,	PUNCT
ajst-28824	223	6	c.	c.	NOUN
ajst-28824	223	7	,	,	PUNCT
ajst-28824	223	8	glökler	glökler	NOUN
ajst-28824	223	9	,	,	PUNCT
ajst-28824	223	10	j.	j.	PROPN
ajst-28824	223	11	,	,	PUNCT
ajst-28824	223	12	franke	franke	PROPN
ajst-28824	223	13	,	,	PUNCT
ajst-28824	223	14	p.	p.	NOUN
ajst-28824	223	15	,	,	PUNCT
ajst-28824	223	16	&	&	CCONJ
ajst-28824	223	17	frohme	frohme	PROPN
ajst-28824	223	18	,	,	PUNCT
ajst-28824	223	19	m.	m.	NOUN
ajst-28824	223	20	(	(	PUNCT
ajst-28824	223	21	2016	2016	NUM
ajst-28824	223	22	)	)	PUNCT
ajst-28824	223	23	.	.	PUNCT
ajst-28824	224	1	standardization	standardization	NOUN
ajst-28824	224	2	and	and	CCONJ
ajst-28824	224	3	quality	quality	NOUN
ajst-28824	224	4	management	management	NOUN
ajst-28824	224	5	in	in	ADP
ajst-28824	224	6	next	next	ADJ
ajst-28824	224	7	-	-	PUNCT
ajst-28824	224	8	generation	generation	NOUN
ajst-28824	224	9	sequencing	sequencing	NOUN
ajst-28824	224	10	.	.	PUNCT
ajst-28824	225	1	applied	apply	VERB
ajst-28824	225	2	&	&	CCONJ
ajst-28824	225	3	translational	translational	ADJ
ajst-28824	225	4	genomics	genomic	NOUN
ajst-28824	225	5	,	,	PUNCT
ajst-28824	225	6	10	10	NUM
ajst-28824	225	7	,	,	PUNCT
ajst-28824	225	8	2	2	NUM
ajst-28824	225	9	-	-	SYM
ajst-28824	225	10	9	9	NUM
ajst-28824	225	11	.	.	PUNCT
ajst-28824	226	1	[	[	X
ajst-28824	226	2	21	21	NUM
ajst-28824	226	3	]	]	X
ajst-28824	226	4	giovanetti	giovanetti	NOUN
ajst-28824	226	5	,	,	PUNCT
ajst-28824	226	6	m.	m.	NOUN
ajst-28824	226	7	,	,	PUNCT
ajst-28824	226	8	slavov	slavov	PROPN
ajst-28824	226	9	,	,	PUNCT
ajst-28824	226	10	s.	s.	PROPN
ajst-28824	226	11	n.	n.	PROPN
ajst-28824	226	12	,	,	PUNCT
ajst-28824	226	13	fonseca	fonseca	PROPN
ajst-28824	226	14	,	,	PUNCT
ajst-28824	226	15	v.	v.	PROPN
ajst-28824	226	16	,	,	PUNCT
ajst-28824	226	17	wilkinson	wilkinson	PROPN
ajst-28824	226	18	,	,	PUNCT
ajst-28824	226	19	e.	e.	PROPN
ajst-28824	226	20	,	,	PUNCT
ajst-28824	226	21	tegally	tegally	ADV
ajst-28824	226	22	,	,	PUNCT
ajst-28824	226	23	h.	h.	PROPN
ajst-28824	226	24	,	,	PUNCT
ajst-28824	226	25	patané	patané	PROPN
ajst-28824	226	26	,	,	PUNCT
ajst-28824	226	27	j.	j.	PROPN
ajst-28824	226	28	s.	s.	PROPN
ajst-28824	226	29	l.	l.	PROPN
ajst-28824	226	30	,	,	PUNCT
ajst-28824	226	31	...	...	PUNCT
ajst-28824	226	32	&	&	CCONJ
ajst-28824	226	33	covas	covas	PROPN
ajst-28824	226	34	,	,	PUNCT
ajst-28824	226	35	d.	d.	PROPN
ajst-28824	226	36	t.	t.	PROPN
ajst-28824	226	37	(	(	PUNCT
ajst-28824	226	38	2022	2022	NUM
ajst-28824	226	39	)	)	PUNCT
ajst-28824	226	40	.	.	PUNCT
ajst-28824	227	1	genomic	genomic	ADJ
ajst-28824	227	2	epidemiology	epidemiology	NOUN
ajst-28824	227	3	of	of	ADP
ajst-28824	227	4	the	the	DET
ajst-28824	227	5	sars	sar	NOUN
ajst-28824	227	6	-	-	PUNCT
ajst-28824	227	7	cov-2	cov-2	NOUN
ajst-28824	227	8	epidemic	epidemic	NOUN
ajst-28824	227	9	in	in	ADP
ajst-28824	227	10	brazil	brazil	PROPN
ajst-28824	227	11	.	.	PUNCT
ajst-28824	228	1	nature	nature	NOUN
ajst-28824	228	2	microbiology	microbiology	NOUN
ajst-28824	228	3	,	,	PUNCT
ajst-28824	228	4	7(9	7(9	NUM
ajst-28824	228	5	)	)	PUNCT
ajst-28824	228	6	,	,	PUNCT
ajst-28824	228	7	1490	1490	NUM
ajst-28824	228	8	-	-	SYM
ajst-28824	228	9	1500	1500	NUM
ajst-28824	228	10	.	.	PUNCT
ajst-28824	229	1	342	342	NUM
ajst-28824	230	1	[	[	X
ajst-28824	230	2	22	22	NUM
ajst-28824	230	3	]	]	PUNCT
ajst-28824	230	4	beerenwinkel	beerenwinkel	NOUN
ajst-28824	230	5	,	,	PUNCT
ajst-28824	230	6	n.	n.	NOUN
ajst-28824	230	7	,	,	PUNCT
ajst-28824	230	8	günthard	günthard	PROPN
ajst-28824	230	9	,	,	PUNCT
ajst-28824	230	10	h.	h.	PROPN
ajst-28824	230	11	f.	f.	PROPN
ajst-28824	230	12	,	,	PUNCT
ajst-28824	230	13	roth	roth	PROPN
ajst-28824	230	14	,	,	PUNCT
ajst-28824	230	15	v.	v.	PROPN
ajst-28824	230	16	,	,	PUNCT
ajst-28824	230	17	&	&	CCONJ
ajst-28824	230	18	metzner	metzner	PROPN
ajst-28824	230	19	,	,	PUNCT
ajst-28824	230	20	k.	k.	PROPN
ajst-28824	230	21	j.	j.	PROPN
ajst-28824	230	22	(	(	PUNCT
ajst-28824	230	23	2012	2012	NUM
ajst-28824	230	24	)	)	PUNCT
ajst-28824	230	25	.	.	PUNCT
ajst-28824	231	1	challenges	challenge	NOUN
ajst-28824	231	2	and	and	CCONJ
ajst-28824	231	3	opportunities	opportunity	NOUN
ajst-28824	231	4	in	in	ADP
ajst-28824	231	5	estimating	estimate	VERB
ajst-28824	231	6	viral	viral	ADJ
ajst-28824	231	7	genetic	genetic	ADJ
ajst-28824	231	8	diversity	diversity	NOUN
ajst-28824	231	9	from	from	ADP
ajst-28824	231	10	next	next	ADJ
ajst-28824	231	11	-	-	PUNCT
ajst-28824	231	12	generation	generation	NOUN
ajst-28824	231	13	sequencing	sequence	VERB
ajst-28824	231	14	data	datum	NOUN
ajst-28824	231	15	.	.	PUNCT
ajst-28824	232	1	frontiers	frontier	NOUN
ajst-28824	232	2	in	in	ADP
ajst-28824	232	3	microbiology	microbiology	NOUN
ajst-28824	232	4	,	,	PUNCT
ajst-28824	232	5	3	3	NUM
ajst-28824	232	6	,	,	PUNCT
ajst-28824	232	7	329	329	NUM
ajst-28824	232	8	.	.	PUNCT
ajst-28824	233	1	[	[	X
ajst-28824	233	2	23	23	NUM
ajst-28824	233	3	]	]	PUNCT
ajst-28824	233	4	cortes	corte	NOUN
ajst-28824	233	5	,	,	PUNCT
ajst-28824	233	6	c.	c.	NOUN
ajst-28824	233	7	(	(	PUNCT
ajst-28824	233	8	1995	1995	NUM
ajst-28824	233	9	)	)	PUNCT
ajst-28824	233	10	.	.	PUNCT
ajst-28824	234	1	support	support	NOUN
ajst-28824	234	2	-	-	PUNCT
ajst-28824	234	3	vector	vector	NOUN
ajst-28824	234	4	networks	network	NOUN
ajst-28824	234	5	.	.	PUNCT
ajst-28824	235	1	machine	machine	NOUN
ajst-28824	235	2	learning	learning	NOUN
ajst-28824	235	3	.	.	PUNCT
ajst-28824	236	1	[	[	X
ajst-28824	236	2	24	24	NUM
ajst-28824	236	3	]	]	SYM
ajst-28824	236	4	varma	varma	PROPN
ajst-28824	236	5	,	,	PUNCT
ajst-28824	236	6	s.	s.	PROPN
ajst-28824	236	7	,	,	PUNCT
ajst-28824	236	8	&	&	CCONJ
ajst-28824	236	9	simon	simon	PROPN
ajst-28824	236	10	,	,	PUNCT
ajst-28824	236	11	r.	r.	PROPN
ajst-28824	236	12	(	(	PUNCT
ajst-28824	236	13	2006	2006	NUM
ajst-28824	236	14	)	)	PUNCT
ajst-28824	236	15	.	.	PUNCT
ajst-28824	236	16	bias	bias	NOUN
ajst-28824	236	17	in	in	ADP
ajst-28824	236	18	error	error	NOUN
ajst-28824	236	19	estimation	estimation	NOUN
ajst-28824	236	20	when	when	SCONJ
ajst-28824	236	21	using	use	VERB
ajst-28824	236	22	cross	cross	NOUN
ajst-28824	236	23	-	-	NOUN
ajst-28824	236	24	validation	validation	NOUN
ajst-28824	236	25	for	for	ADP
ajst-28824	236	26	model	model	NOUN
ajst-28824	236	27	selection	selection	NOUN
ajst-28824	236	28	.	.	PUNCT
ajst-28824	237	1	bmc	bmc	ADJ
ajst-28824	237	2	bioinformatics	bioinformatics	PROPN
ajst-28824	237	3	,	,	PUNCT
ajst-28824	237	4	7	7	NUM
ajst-28824	237	5	,	,	PUNCT
ajst-28824	237	6	1	1	NUM
ajst-28824	237	7	-	-	SYM
ajst-28824	237	8	8	8	NUM
ajst-28824	237	9	.	.	PUNCT
ajst-28824	238	1	[	[	X
ajst-28824	238	2	25	25	NUM
ajst-28824	238	3	]	]	PUNCT
ajst-28824	238	4	griffel	griffel	NOUN
ajst-28824	238	5	,	,	PUNCT
ajst-28824	238	6	l.	l.	PROPN
ajst-28824	238	7	m.	m.	PROPN
ajst-28824	238	8	,	,	PUNCT
ajst-28824	238	9	delparte	delparte	PROPN
ajst-28824	238	10	,	,	PUNCT
ajst-28824	238	11	d.	d.	PROPN
ajst-28824	238	12	,	,	PUNCT
ajst-28824	238	13	&	&	CCONJ
ajst-28824	238	14	edwards	edwards	PROPN
ajst-28824	238	15	,	,	PUNCT
ajst-28824	238	16	j.	j.	PROPN
ajst-28824	238	17	(	(	PUNCT
ajst-28824	238	18	2018	2018	NUM
ajst-28824	238	19	)	)	PUNCT
ajst-28824	238	20	.	.	PUNCT
ajst-28824	239	1	using	use	VERB
ajst-28824	239	2	support	support	NOUN
ajst-28824	239	3	vector	vector	NOUN
ajst-28824	239	4	machines	machine	NOUN
ajst-28824	239	5	classification	classification	NOUN
ajst-28824	239	6	to	to	PART
ajst-28824	239	7	differentiate	differentiate	VERB
ajst-28824	239	8	spectral	spectral	ADJ
ajst-28824	239	9	signatures	signature	NOUN
ajst-28824	239	10	of	of	ADP
ajst-28824	239	11	potato	potato	NOUN
ajst-28824	239	12	plants	plant	NOUN
ajst-28824	239	13	infected	infect	VERB
ajst-28824	239	14	with	with	ADP
ajst-28824	239	15	potato	potato	NOUN
ajst-28824	239	16	virus	virus	NOUN
ajst-28824	239	17	y.	y.	PROPN
ajst-28824	239	18	computers	computer	NOUN
ajst-28824	239	19	and	and	CCONJ
ajst-28824	239	20	electronics	electronic	NOUN
ajst-28824	239	21	in	in	ADP
ajst-28824	239	22	agriculture	agriculture	NOUN
ajst-28824	239	23	,	,	PUNCT
ajst-28824	239	24	153	153	NUM
ajst-28824	239	25	,	,	PUNCT
ajst-28824	239	26	318	318	NUM
ajst-28824	239	27	-	-	SYM
ajst-28824	239	28	324	324	NUM
ajst-28824	239	29	.	.	PUNCT
ajst-28824	240	1	[	[	X
ajst-28824	240	2	26	26	NUM
ajst-28824	240	3	]	]	X
ajst-28824	240	4	busia	busia	NOUN
ajst-28824	240	5	,	,	PUNCT
ajst-28824	240	6	a.	a.	PROPN
ajst-28824	240	7	,	,	PUNCT
ajst-28824	240	8	dahl	dahl	PROPN
ajst-28824	240	9	,	,	PUNCT
ajst-28824	240	10	g.	g.	PROPN
ajst-28824	240	11	e.	e.	PROPN
ajst-28824	240	12	,	,	PUNCT
ajst-28824	240	13	fannjiang	fannjiang	PROPN
ajst-28824	240	14	,	,	PUNCT
ajst-28824	240	15	c.	c.	PROPN
ajst-28824	240	16	,	,	PUNCT
ajst-28824	240	17	alexander	alexander	PROPN
ajst-28824	240	18	,	,	PUNCT
ajst-28824	240	19	d.	d.	PROPN
ajst-28824	240	20	h.	h.	PROPN
ajst-28824	240	21	,	,	PUNCT
ajst-28824	240	22	dorfman	dorfman	PROPN
ajst-28824	240	23	,	,	PUNCT
ajst-28824	240	24	e.	e.	PROPN
ajst-28824	240	25	,	,	PUNCT
ajst-28824	240	26	poplin	poplin	PROPN
ajst-28824	240	27	,	,	PUNCT
ajst-28824	240	28	r.	r.	PROPN
ajst-28824	240	29	,	,	PUNCT
ajst-28824	240	30	...	...	PUNCT
ajst-28824	240	31	&	&	CCONJ
ajst-28824	240	32	depristo	depristo	PROPN
ajst-28824	240	33	,	,	PUNCT
ajst-28824	240	34	m.	m.	NOUN
ajst-28824	240	35	(	(	PUNCT
ajst-28824	240	36	2018	2018	NUM
ajst-28824	240	37	)	)	PUNCT
ajst-28824	240	38	.	.	PUNCT
ajst-28824	241	1	a	a	DET
ajst-28824	241	2	deep	deep	ADJ
ajst-28824	241	3	learning	learning	NOUN
ajst-28824	241	4	approach	approach	NOUN
ajst-28824	241	5	to	to	ADP
ajst-28824	241	6	pattern	pattern	NOUN
ajst-28824	241	7	recognition	recognition	NOUN
ajst-28824	241	8	for	for	ADP
ajst-28824	241	9	short	short	ADJ
ajst-28824	241	10	dna	dna	PROPN
ajst-28824	241	11	sequences	sequence	NOUN
ajst-28824	241	12	.	.	PUNCT
ajst-28824	242	1	biorxiv	biorxiv	PROPN
ajst-28824	242	2	,	,	PUNCT
ajst-28824	242	3	353474	353474	NUM
ajst-28824	242	4	.	.	PUNCT
ajst-28824	243	1	[	[	X
ajst-28824	243	2	27	27	NUM
ajst-28824	243	3	]	]	SYM
ajst-28824	243	4	gunasekaran	gunasekaran	NOUN
ajst-28824	243	5	,	,	PUNCT
ajst-28824	243	6	h.	h.	NOUN
ajst-28824	243	7	,	,	PUNCT
ajst-28824	243	8	ramalakshmi	ramalakshmi	NOUN
ajst-28824	243	9	,	,	PUNCT
ajst-28824	243	10	k.	k.	PROPN
ajst-28824	243	11	,	,	PUNCT
ajst-28824	243	12	rex	rex	PROPN
ajst-28824	243	13	macedo	macedo	PROPN
ajst-28824	243	14	arokiaraj	arokiaraj	PROPN
ajst-28824	243	15	,	,	PUNCT
ajst-28824	243	16	a.	a.	NOUN
ajst-28824	243	17	,	,	PUNCT
ajst-28824	243	18	deepa	deepa	PROPN
ajst-28824	243	19	kanmani	kanmani	PROPN
ajst-28824	243	20	,	,	PUNCT
ajst-28824	243	21	s.	s.	PROPN
ajst-28824	243	22	,	,	PUNCT
ajst-28824	243	23	venkatesan	venkatesan	NOUN
ajst-28824	243	24	,	,	PUNCT
ajst-28824	243	25	c.	c.	PROPN
ajst-28824	243	26	,	,	PUNCT
ajst-28824	243	27	&	&	CCONJ
ajst-28824	243	28	suresh	suresh	PROPN
ajst-28824	243	29	gnana	gnana	PROPN
ajst-28824	243	30	dhas	dhas	PROPN
ajst-28824	243	31	,	,	PUNCT
ajst-28824	243	32	c.	c.	NOUN
ajst-28824	243	33	(	(	PUNCT
ajst-28824	243	34	2021	2021	NUM
ajst-28824	243	35	)	)	PUNCT
ajst-28824	243	36	.	.	PUNCT
ajst-28824	244	1	analysis	analysis	NOUN
ajst-28824	244	2	of	of	ADP
ajst-28824	244	3	dna	dna	PROPN
ajst-28824	244	4	sequence	sequence	NOUN
ajst-28824	244	5	classification	classification	NOUN
ajst-28824	244	6	using	use	VERB
ajst-28824	244	7	cnn	cnn	PROPN
ajst-28824	244	8	and	and	CCONJ
ajst-28824	244	9	hybrid	hybrid	NOUN
ajst-28824	244	10	models	model	NOUN
ajst-28824	244	11	.	.	PUNCT
ajst-28824	245	1	computational	computational	ADJ
ajst-28824	245	2	and	and	CCONJ
ajst-28824	245	3	mathematical	mathematical	ADJ
ajst-28824	245	4	methods	method	NOUN
ajst-28824	245	5	in	in	ADP
ajst-28824	245	6	medicine	medicine	NOUN
ajst-28824	245	7	,	,	PUNCT
ajst-28824	245	8	2021(1	2021(1	NUM
ajst-28824	245	9	)	)	PUNCT
ajst-28824	245	10	,	,	PUNCT
ajst-28824	245	11	1835056	1835056	NUM
ajst-28824	245	12	.	.	PUNCT
ajst-28824	246	1	[	[	X
ajst-28824	246	2	28	28	NUM
ajst-28824	246	3	]	]	X
ajst-28824	246	4	mandal	mandal	PROPN
ajst-28824	246	5	,	,	PUNCT
ajst-28824	246	6	i.	i.	PROPN
ajst-28824	246	7	(	(	PUNCT
ajst-28824	246	8	2015	2015	NUM
ajst-28824	246	9	)	)	PUNCT
ajst-28824	246	10	.	.	PUNCT
ajst-28824	247	1	a	a	DET
ajst-28824	247	2	novel	novel	ADJ
ajst-28824	247	3	approach	approach	NOUN
ajst-28824	247	4	for	for	ADP
ajst-28824	247	5	predicting	predict	VERB
ajst-28824	247	6	dna	dna	PROPN
ajst-28824	247	7	splice	splice	NOUN
ajst-28824	247	8	junctions	junction	NOUN
ajst-28824	247	9	using	use	VERB
ajst-28824	247	10	hybrid	hybrid	ADJ
ajst-28824	247	11	machine	machine	NOUN
ajst-28824	247	12	learning	learn	VERB
ajst-28824	247	13	algorithms	algorithm	NOUN
ajst-28824	247	14	.	.	PUNCT
ajst-28824	248	1	soft	soft	ADJ
ajst-28824	248	2	computing	computing	NOUN
ajst-28824	248	3	,	,	PUNCT
ajst-28824	248	4	19	19	NUM
ajst-28824	248	5	,	,	PUNCT
ajst-28824	248	6	3431	3431	NUM
ajst-28824	248	7	-	-	SYM
ajst-28824	248	8	3444	3444	NUM
ajst-28824	248	9	.	.	PUNCT