id	sid	tid	token	lemma	pos
fq977s78q4j	1	1	deep	deep	ADJ
fq977s78q4j	1	2	neural	neural	ADJ
fq977s78q4j	1	3	networks	network	NOUN
fq977s78q4j	1	4	are	be	AUX
fq977s78q4j	1	5	famous	famous	ADJ
fq977s78q4j	1	6	for	for	ADP
fq977s78q4j	1	7	their	their	PRON
fq977s78q4j	1	8	high	high	ADJ
fq977s78q4j	1	9	prediction	prediction	NOUN
fq977s78q4j	1	10	accuracy	accuracy	NOUN
fq977s78q4j	1	11	,	,	PUNCT
fq977s78q4j	1	12	but	but	CCONJ
fq977s78q4j	1	13	they	they	PRON
fq977s78q4j	1	14	are	be	AUX
fq977s78q4j	1	15	also	also	ADV
fq977s78q4j	1	16	known	know	VERB
fq977s78q4j	1	17	for	for	ADP
fq977s78q4j	1	18	their	their	PRON
fq977s78q4j	1	19	black	black	ADJ
fq977s78q4j	1	20	-	-	PUNCT
fq977s78q4j	1	21	box	box	NOUN
fq977s78q4j	1	22	nature	nature	NOUN
fq977s78q4j	1	23	and	and	CCONJ
fq977s78q4j	1	24	poor	poor	ADJ
fq977s78q4j	1	25	interpretability	interpretability	NOUN
fq977s78q4j	1	26	.	.	PUNCT
fq977s78q4j	2	1	we	we	PRON
fq977s78q4j	2	2	consider	consider	VERB
fq977s78q4j	2	3	the	the	DET
fq977s78q4j	2	4	problem	problem	NOUN
fq977s78q4j	2	5	of	of	ADP
fq977s78q4j	2	6	variable	variable	ADJ
fq977s78q4j	2	7	selection	selection	NOUN
fq977s78q4j	2	8	,	,	PUNCT
fq977s78q4j	2	9	that	that	ADV
fq977s78q4j	2	10	is	is	ADV
fq977s78q4j	2	11	,	,	PUNCT
fq977s78q4j	2	12	selecting	select	VERB
fq977s78q4j	2	13	the	the	DET
fq977s78q4j	2	14	input	input	NOUN
fq977s78q4j	2	15	variables	variable	NOUN
fq977s78q4j	2	16	that	that	PRON
fq977s78q4j	2	17	have	have	VERB
fq977s78q4j	2	18	significant	significant	ADJ
fq977s78q4j	2	19	predictive	predictive	ADJ
fq977s78q4j	2	20	power	power	NOUN
fq977s78q4j	2	21	on	on	ADP
fq977s78q4j	2	22	the	the	DET
fq977s78q4j	2	23	output	output	NOUN
fq977s78q4j	2	24	,	,	PUNCT
fq977s78q4j	2	25	in	in	ADP
fq977s78q4j	2	26	deep	deep	ADJ
fq977s78q4j	2	27	neural	neural	ADJ
fq977s78q4j	2	28	networks	network	NOUN
fq977s78q4j	2	29	.	.	PUNCT
fq977s78q4j	3	1	most	most	ADJ
fq977s78q4j	3	2	existing	exist	VERB
fq977s78q4j	3	3	variable	variable	ADJ
fq977s78q4j	3	4	selection	selection	NOUN
fq977s78q4j	3	5	methods	method	NOUN
fq977s78q4j	3	6	for	for	ADP
fq977s78q4j	3	7	neural	neural	ADJ
fq977s78q4j	3	8	networks	network	NOUN
fq977s78q4j	3	9	are	be	AUX
fq977s78q4j	3	10	only	only	ADV
fq977s78q4j	3	11	applicable	applicable	ADJ
fq977s78q4j	3	12	to	to	ADP
fq977s78q4j	3	13	shallow	shallow	ADJ
fq977s78q4j	3	14	networks	network	NOUN
fq977s78q4j	3	15	or	or	CCONJ
fq977s78q4j	3	16	are	be	AUX
fq977s78q4j	3	17	computationally	computationally	ADV
fq977s78q4j	3	18	infeasible	infeasible	ADJ
fq977s78q4j	3	19	on	on	ADP
fq977s78q4j	3	20	large	large	ADJ
fq977s78q4j	3	21	datasets	dataset	NOUN
fq977s78q4j	3	22	;	;	PUNCT
fq977s78q4j	3	23	moreover	moreover	ADV
fq977s78q4j	3	24	,	,	PUNCT
fq977s78q4j	3	25	they	they	PRON
fq977s78q4j	3	26	lack	lack	VERB
fq977s78q4j	3	27	a	a	DET
fq977s78q4j	3	28	control	control	NOUN
fq977s78q4j	3	29	on	on	ADP
fq977s78q4j	3	30	the	the	DET
fq977s78q4j	3	31	quality	quality	NOUN
fq977s78q4j	3	32	of	of	ADP
fq977s78q4j	3	33	selected	select	VERB
fq977s78q4j	3	34	variables	variable	NOUN
fq977s78q4j	3	35	.	.	PUNCT
fq977s78q4j	4	1	here	here	ADV
fq977s78q4j	4	2	we	we	PRON
fq977s78q4j	4	3	propose	propose	VERB
fq977s78q4j	4	4	a	a	DET
fq977s78q4j	4	5	backward	backward	ADJ
fq977s78q4j	4	6	elimination	elimination	NOUN
fq977s78q4j	4	7	procedure	procedure	NOUN
fq977s78q4j	4	8	called	call	VERB
fq977s78q4j	4	9	survnet	survnet	PROPN
fq977s78q4j	4	10	,	,	PUNCT
fq977s78q4j	4	11	which	which	PRON
fq977s78q4j	4	12	is	be	AUX
fq977s78q4j	4	13	based	base	VERB
fq977s78q4j	4	14	on	on	ADP
fq977s78q4j	4	15	a	a	DET
fq977s78q4j	4	16	new	new	ADJ
fq977s78q4j	4	17	measure	measure	NOUN
fq977s78q4j	4	18	of	of	ADP
fq977s78q4j	4	19	variable	variable	ADJ
fq977s78q4j	4	20	importance	importance	NOUN
fq977s78q4j	4	21	that	that	PRON
fq977s78q4j	4	22	applies	apply	VERB
fq977s78q4j	4	23	to	to	ADP
fq977s78q4j	4	24	a	a	DET
fq977s78q4j	4	25	wide	wide	ADJ
fq977s78q4j	4	26	variety	variety	NOUN
fq977s78q4j	4	27	of	of	ADP
fq977s78q4j	4	28	networks	network	NOUN
fq977s78q4j	4	29	.	.	PUNCT
fq977s78q4j	5	1	more	more	ADV
fq977s78q4j	5	2	importantly	importantly	ADV
fq977s78q4j	5	3	,	,	PUNCT
fq977s78q4j	5	4	survnet	survnet	PROPN
fq977s78q4j	5	5	is	be	AUX
fq977s78q4j	5	6	able	able	ADJ
fq977s78q4j	5	7	to	to	PART
fq977s78q4j	5	8	estimate	estimate	VERB
fq977s78q4j	5	9	and	and	CCONJ
fq977s78q4j	5	10	control	control	VERB
fq977s78q4j	5	11	the	the	DET
fq977s78q4j	5	12	false	false	ADJ
fq977s78q4j	5	13	discovery	discovery	NOUN
fq977s78q4j	5	14	rate	rate	NOUN
fq977s78q4j	5	15	of	of	ADP
fq977s78q4j	5	16	selected	select	VERB
fq977s78q4j	5	17	variables	variable	NOUN
fq977s78q4j	5	18	empirically	empirically	ADV
fq977s78q4j	5	19	.	.	PUNCT
fq977s78q4j	6	1	further	far	ADV
fq977s78q4j	6	2	,	,	PUNCT
fq977s78q4j	6	3	survnet	survnet	PROPN
fq977s78q4j	6	4	adaptively	adaptively	ADV
fq977s78q4j	6	5	determines	determine	VERB
fq977s78q4j	6	6	how	how	SCONJ
fq977s78q4j	6	7	many	many	ADJ
fq977s78q4j	6	8	variables	variable	NOUN
fq977s78q4j	6	9	to	to	PART
fq977s78q4j	6	10	eliminate	eliminate	VERB
fq977s78q4j	6	11	at	at	ADP
fq977s78q4j	6	12	each	each	DET
fq977s78q4j	6	13	step	step	NOUN
fq977s78q4j	6	14	in	in	ADP
fq977s78q4j	6	15	order	order	NOUN
fq977s78q4j	6	16	to	to	PART
fq977s78q4j	6	17	maximize	maximize	VERB
fq977s78q4j	6	18	the	the	DET
fq977s78q4j	6	19	selection	selection	NOUN
fq977s78q4j	6	20	efficiency	efficiency	NOUN
fq977s78q4j	6	21	.	.	PUNCT
fq977s78q4j	7	1	the	the	DET
fq977s78q4j	7	2	validity	validity	NOUN
fq977s78q4j	7	3	and	and	CCONJ
fq977s78q4j	7	4	efficiency	efficiency	NOUN
fq977s78q4j	7	5	of	of	ADP
fq977s78q4j	7	6	survnet	survnet	PROPN
fq977s78q4j	7	7	are	be	AUX
fq977s78q4j	7	8	shown	show	VERB
fq977s78q4j	7	9	on	on	ADP
fq977s78q4j	7	10	various	various	ADJ
fq977s78q4j	7	11	simulated	simulated	ADJ
fq977s78q4j	7	12	and	and	CCONJ
fq977s78q4j	7	13	real	real	ADJ
fq977s78q4j	7	14	datasets	dataset	NOUN
fq977s78q4j	7	15	,	,	PUNCT
fq977s78q4j	7	16	and	and	CCONJ
fq977s78q4j	7	17	its	its	PRON
fq977s78q4j	7	18	performance	performance	NOUN
fq977s78q4j	7	19	is	be	AUX
fq977s78q4j	7	20	compared	compare	VERB
fq977s78q4j	7	21	with	with	ADP
fq977s78q4j	7	22	other	other	ADJ
fq977s78q4j	7	23	methods	method	NOUN
fq977s78q4j	7	24	.	.	PUNCT
fq977s78q4j	8	1	especially	especially	ADV
fq977s78q4j	8	2	,	,	PUNCT
fq977s78q4j	8	3	a	a	DET
fq977s78q4j	8	4	systematic	systematic	ADJ
fq977s78q4j	8	5	comparison	comparison	NOUN
fq977s78q4j	8	6	with	with	ADP
fq977s78q4j	8	7	knockoff	knockoff	NOUN
fq977s78q4j	8	8	-	-	PUNCT
fq977s78q4j	8	9	based	base	VERB
fq977s78q4j	8	10	methods	method	NOUN
fq977s78q4j	8	11	shows	show	VERB
fq977s78q4j	8	12	that	that	SCONJ
fq977s78q4j	8	13	although	although	SCONJ
fq977s78q4j	8	14	they	they	PRON
fq977s78q4j	8	15	have	have	VERB
fq977s78q4j	8	16	more	more	ADV
fq977s78q4j	8	17	rigorous	rigorous	ADJ
fq977s78q4j	8	18	false	false	ADJ
fq977s78q4j	8	19	discovery	discovery	NOUN
fq977s78q4j	8	20	rate	rate	NOUN
fq977s78q4j	8	21	control	control	NOUN
fq977s78q4j	8	22	on	on	ADP
fq977s78q4j	8	23	data	datum	NOUN
fq977s78q4j	8	24	with	with	ADP
fq977s78q4j	8	25	strong	strong	ADJ
fq977s78q4j	8	26	variable	variable	ADJ
fq977s78q4j	8	27	correlation	correlation	NOUN
fq977s78q4j	8	28	,	,	PUNCT
fq977s78q4j	8	29	survnet	survnet	PROPN
fq977s78q4j	8	30	usually	usually	ADV
fq977s78q4j	8	31	has	have	AUX
fq977s78q4j	8	32	higher	high	ADJ
fq977s78q4j	8	33	power.autoencoders	power.autoencoder	NOUN
fq977s78q4j	8	34	are	be	AUX
fq977s78q4j	8	35	a	a	DET
fq977s78q4j	8	36	type	type	NOUN
fq977s78q4j	8	37	of	of	ADP
fq977s78q4j	8	38	deep	deep	ADJ
fq977s78q4j	8	39	neural	neural	ADJ
fq977s78q4j	8	40	network	network	NOUN
fq977s78q4j	8	41	that	that	PRON
fq977s78q4j	8	42	are	be	AUX
fq977s78q4j	8	43	usually	usually	ADV
fq977s78q4j	8	44	applied	apply	VERB
fq977s78q4j	8	45	in	in	ADP
fq977s78q4j	8	46	unsupervised	unsupervised	ADJ
fq977s78q4j	8	47	learning	learning	NOUN
fq977s78q4j	8	48	for	for	ADP
fq977s78q4j	8	49	dimensionality	dimensionality	NOUN
fq977s78q4j	8	50	reduction	reduction	NOUN
fq977s78q4j	8	51	.	.	PUNCT
fq977s78q4j	9	1	based	base	VERB
fq977s78q4j	9	2	on	on	ADP
fq977s78q4j	9	3	network	network	NOUN
fq977s78q4j	9	4	structures	structure	NOUN
fq977s78q4j	9	5	with	with	ADP
fq977s78q4j	9	6	multiple	multiple	ADJ
fq977s78q4j	9	7	layers	layer	NOUN
fq977s78q4j	9	8	,	,	PUNCT
fq977s78q4j	9	9	autoencoders	autoencoder	NOUN
fq977s78q4j	9	10	are	be	AUX
fq977s78q4j	9	11	also	also	ADV
fq977s78q4j	9	12	poorly	poorly	ADV
fq977s78q4j	9	13	interpretable	interpretable	ADJ
fq977s78q4j	9	14	,	,	PUNCT
fq977s78q4j	9	15	that	that	ADV
fq977s78q4j	9	16	is	is	ADV
fq977s78q4j	9	17	,	,	PUNCT
fq977s78q4j	9	18	the	the	DET
fq977s78q4j	9	19	low	low	ADV
fq977s78q4j	9	20	-	-	PUNCT
fq977s78q4j	9	21	dimensional	dimensional	ADJ
fq977s78q4j	9	22	representations	representation	NOUN
fq977s78q4j	9	23	generated	generate	VERB
fq977s78q4j	9	24	from	from	ADP
fq977s78q4j	9	25	input	input	NOUN
fq977s78q4j	9	26	variables	variable	NOUN
fq977s78q4j	9	27	are	be	AUX
fq977s78q4j	9	28	difficult	difficult	ADJ
fq977s78q4j	9	29	to	to	PART
fq977s78q4j	9	30	interpret	interpret	VERB
fq977s78q4j	9	31	.	.	PUNCT
fq977s78q4j	10	1	hence	hence	ADV
fq977s78q4j	10	2	,	,	PUNCT
fq977s78q4j	10	3	we	we	PRON
fq977s78q4j	10	4	propose	propose	VERB
fq977s78q4j	10	5	survencoder	survencoder	NOUN
fq977s78q4j	10	6	,	,	PUNCT
fq977s78q4j	10	7	an	an	DET
fq977s78q4j	10	8	unsupervised	unsupervised	ADJ
fq977s78q4j	10	9	variable	variable	ADJ
fq977s78q4j	10	10	selection	selection	NOUN
fq977s78q4j	10	11	method	method	NOUN
fq977s78q4j	10	12	for	for	ADP
fq977s78q4j	10	13	autoencoders	autoencoder	NOUN
fq977s78q4j	10	14	.	.	PUNCT
fq977s78q4j	11	1	it	it	PRON
fq977s78q4j	11	2	defines	define	VERB
fq977s78q4j	11	3	an	an	DET
fq977s78q4j	11	4	easily	easily	ADV
fq977s78q4j	11	5	computable	computable	ADJ
fq977s78q4j	11	6	and	and	CCONJ
fq977s78q4j	11	7	widely	widely	ADV
fq977s78q4j	11	8	applicable	applicable	ADJ
fq977s78q4j	11	9	variable	variable	ADJ
fq977s78q4j	11	10	importance	importance	NOUN
fq977s78q4j	11	11	measure	measure	NOUN
fq977s78q4j	11	12	based	base	VERB
fq977s78q4j	11	13	on	on	ADP
fq977s78q4j	11	14	the	the	DET
fq977s78q4j	11	15	encodings	encoding	NOUN
fq977s78q4j	11	16	of	of	ADP
fq977s78q4j	11	17	autoencoders	autoencoder	NOUN
fq977s78q4j	11	18	.	.	PUNCT
fq977s78q4j	12	1	by	by	ADP
fq977s78q4j	12	2	adopting	adopt	VERB
fq977s78q4j	12	3	the	the	DET
fq977s78q4j	12	4	selection	selection	NOUN
fq977s78q4j	12	5	procedure	procedure	NOUN
fq977s78q4j	12	6	of	of	ADP
fq977s78q4j	12	7	survnet	survnet	NOUN
fq977s78q4j	12	8	and	and	CCONJ
fq977s78q4j	12	9	modifying	modify	VERB
fq977s78q4j	12	10	it	it	PRON
fq977s78q4j	12	11	for	for	ADP
fq977s78q4j	12	12	unsupervised	unsupervised	ADJ
fq977s78q4j	12	13	settings	setting	NOUN
fq977s78q4j	12	14	,	,	PUNCT
fq977s78q4j	12	15	survencoder	survencoder	NOUN
fq977s78q4j	12	16	is	be	AUX
fq977s78q4j	12	17	equipped	equip	VERB
fq977s78q4j	12	18	with	with	ADP
fq977s78q4j	12	19	fdr	fdr	ADJ
fq977s78q4j	12	20	control	control	NOUN
fq977s78q4j	12	21	as	as	ADV
fq977s78q4j	12	22	well	well	ADV
fq977s78q4j	12	23	.	.	PUNCT
fq977s78q4j	13	1	on	on	ADP
fq977s78q4j	13	2	various	various	ADJ
fq977s78q4j	13	3	unlabeled	unlabele	VERB
fq977s78q4j	13	4	datasets	dataset	NOUN
fq977s78q4j	13	5	,	,	PUNCT
fq977s78q4j	13	6	survencoder	survencoder	NOUN
fq977s78q4j	13	7	has	have	AUX
fq977s78q4j	13	8	effectively	effectively	ADV
fq977s78q4j	13	9	selected	select	VERB
fq977s78q4j	13	10	the	the	DET
fq977s78q4j	13	11	variables	variable	NOUN
fq977s78q4j	13	12	that	that	PRON
fq977s78q4j	13	13	significantly	significantly	ADV
fq977s78q4j	13	14	contribute	contribute	VERB
fq977s78q4j	13	15	to	to	ADP
fq977s78q4j	13	16	dimension	dimension	NOUN
fq977s78q4j	13	17	reduction	reduction	NOUN
fq977s78q4j	13	18	and	and	CCONJ
fq977s78q4j	13	19	help	help	VERB
fq977s78q4j	13	20	reveal	reveal	VERB
fq977s78q4j	13	21	data	datum	NOUN
fq977s78q4j	13	22	structure	structure	NOUN
fq977s78q4j	13	23	.	.	PUNCT
fq977s78q4j	14	1	the	the	DET
fq977s78q4j	14	2	advent	advent	NOUN
fq977s78q4j	14	3	of	of	ADP
fq977s78q4j	14	4	single	single	ADJ
fq977s78q4j	14	5	-	-	PUNCT
fq977s78q4j	14	6	cell	cell	NOUN
fq977s78q4j	14	7	multimodal	multimodal	NOUN
fq977s78q4j	14	8	sequencing	sequence	VERB
fq977s78q4j	14	9	technologies	technology	NOUN
fq977s78q4j	14	10	enables	enable	VERB
fq977s78q4j	14	11	measurements	measurement	NOUN
fq977s78q4j	14	12	of	of	ADP
fq977s78q4j	14	13	multiple	multiple	ADJ
fq977s78q4j	14	14	modalities	modality	NOUN
fq977s78q4j	14	15	in	in	ADP
fq977s78q4j	14	16	individual	individual	ADJ
fq977s78q4j	14	17	cells	cell	NOUN
fq977s78q4j	14	18	and	and	CCONJ
fq977s78q4j	14	19	opens	open	VERB
fq977s78q4j	14	20	new	new	ADJ
fq977s78q4j	14	21	avenues	avenue	NOUN
fq977s78q4j	14	22	to	to	PART
fq977s78q4j	14	23	characterize	characterize	VERB
fq977s78q4j	14	24	cell	cell	NOUN
fq977s78q4j	14	25	types	type	NOUN
fq977s78q4j	14	26	and	and	CCONJ
fq977s78q4j	14	27	states	state	NOUN
fq977s78q4j	14	28	.	.	PUNCT
fq977s78q4j	15	1	it	it	PRON
fq977s78q4j	15	2	also	also	ADV
fq977s78q4j	15	3	necessitates	necessitate	VERB
fq977s78q4j	15	4	the	the	DET
fq977s78q4j	15	5	development	development	NOUN
fq977s78q4j	15	6	of	of	ADP
fq977s78q4j	15	7	novel	novel	ADJ
fq977s78q4j	15	8	analytical	analytical	ADJ
fq977s78q4j	15	9	and	and	CCONJ
fq977s78q4j	15	10	computational	computational	ADJ
fq977s78q4j	15	11	methods	method	NOUN
fq977s78q4j	15	12	for	for	ADP
fq977s78q4j	15	13	integration	integration	NOUN
fq977s78q4j	15	14	of	of	ADP
fq977s78q4j	15	15	multiple	multiple	ADJ
fq977s78q4j	15	16	measurements	measurement	NOUN
fq977s78q4j	15	17	,	,	PUNCT
fq977s78q4j	15	18	which	which	PRON
fq977s78q4j	15	19	is	be	AUX
fq977s78q4j	15	20	challenging	challenge	VERB
fq977s78q4j	15	21	due	due	ADP
fq977s78q4j	15	22	to	to	ADP
fq977s78q4j	15	23	the	the	DET
fq977s78q4j	15	24	heterogeneity	heterogeneity	NOUN
fq977s78q4j	15	25	of	of	ADP
fq977s78q4j	15	26	different	different	ADJ
fq977s78q4j	15	27	data	datum	NOUN
fq977s78q4j	15	28	types	type	NOUN
fq977s78q4j	15	29	.	.	PUNCT
fq977s78q4j	16	1	we	we	PRON
fq977s78q4j	16	2	propose	propose	VERB
fq977s78q4j	16	3	an	an	DET
fq977s78q4j	16	4	unsupervised	unsupervised	ADJ
fq977s78q4j	16	5	method	method	NOUN
fq977s78q4j	16	6	to	to	PART
fq977s78q4j	16	7	integrate	integrate	VERB
fq977s78q4j	16	8	multimodal	multimodal	ADJ
fq977s78q4j	16	9	omics	omic	NOUN
fq977s78q4j	16	10	data	datum	NOUN
fq977s78q4j	16	11	called	call	VERB
fq977s78q4j	16	12	vimmo	vimmo	PROPN
fq977s78q4j	16	13	.	.	PUNCT
fq977s78q4j	17	1	it	it	PRON
fq977s78q4j	17	2	defines	define	VERB
fq977s78q4j	17	3	an	an	DET
fq977s78q4j	17	4	integrative	integrative	ADJ
fq977s78q4j	17	5	cell	cell	NOUN
fq977s78q4j	17	6	-	-	PUNCT
fq977s78q4j	17	7	cell	cell	NOUN
fq977s78q4j	17	8	distance	distance	NOUN
fq977s78q4j	17	9	measure	measure	NOUN
fq977s78q4j	17	10	and	and	CCONJ
fq977s78q4j	17	11	quantifies	quantify	VERB
fq977s78q4j	17	12	the	the	DET
fq977s78q4j	17	13	utility	utility	NOUN
fq977s78q4j	17	14	of	of	ADP
fq977s78q4j	17	15	each	each	DET
fq977s78q4j	17	16	modality	modality	NOUN
fq977s78q4j	17	17	for	for	ADP
fq977s78q4j	17	18	distance	distance	NOUN
fq977s78q4j	17	19	integration	integration	NOUN
fq977s78q4j	17	20	.	.	PUNCT
fq977s78q4j	18	1	compared	compare	VERB
fq977s78q4j	18	2	with	with	ADP
fq977s78q4j	18	3	wnn	wnn	NOUN
fq977s78q4j	18	4	,	,	PUNCT
fq977s78q4j	18	5	a	a	DET
fq977s78q4j	18	6	popular	popular	ADJ
fq977s78q4j	18	7	benchmark	benchmark	ADJ
fq977s78q4j	18	8	integrative	integrative	ADJ
fq977s78q4j	18	9	method	method	NOUN
fq977s78q4j	18	10	that	that	PRON
fq977s78q4j	18	11	assigns	assign	VERB
fq977s78q4j	18	12	cell	cell	NOUN
fq977s78q4j	18	13	-	-	PUNCT
fq977s78q4j	18	14	specific	specific	ADJ
fq977s78q4j	18	15	modality	modality	NOUN
fq977s78q4j	18	16	weights	weight	NOUN
fq977s78q4j	18	17	,	,	PUNCT
fq977s78q4j	18	18	vimmo	vimmo	PROPN
fq977s78q4j	18	19	is	be	AUX
fq977s78q4j	18	20	able	able	ADJ
fq977s78q4j	18	21	to	to	PART
fq977s78q4j	18	22	provide	provide	VERB
fq977s78q4j	18	23	particular	particular	ADJ
fq977s78q4j	18	24	modality	modality	NOUN
fq977s78q4j	18	25	weights	weight	NOUN
fq977s78q4j	18	26	for	for	ADP
fq977s78q4j	18	27	each	each	DET
fq977s78q4j	18	28	pair	pair	NOUN
fq977s78q4j	18	29	of	of	ADP
fq977s78q4j	18	30	cells	cell	NOUN
fq977s78q4j	18	31	.	.	PUNCT
fq977s78q4j	19	1	furthermore	furthermore	ADV
fq977s78q4j	19	2	,	,	PUNCT
fq977s78q4j	19	3	it	it	PRON
fq977s78q4j	19	4	offers	offer	VERB
fq977s78q4j	19	5	greater	great	ADJ
fq977s78q4j	19	6	flexibility	flexibility	NOUN
fq977s78q4j	19	7	as	as	SCONJ
fq977s78q4j	19	8	it	it	PRON
fq977s78q4j	19	9	supports	support	VERB
fq977s78q4j	19	10	user	user	NOUN
fq977s78q4j	19	11	-	-	PUNCT
fq977s78q4j	19	12	defined	define	VERB
fq977s78q4j	19	13	modality	modality	NOUN
fq977s78q4j	19	14	weights	weight	NOUN
fq977s78q4j	19	15	for	for	ADP
fq977s78q4j	19	16	integration	integration	NOUN
fq977s78q4j	19	17	.	.	PUNCT
fq977s78q4j	20	1	on	on	ADP
fq977s78q4j	20	2	several	several	ADJ
fq977s78q4j	20	3	real	real	ADJ
fq977s78q4j	20	4	and	and	CCONJ
fq977s78q4j	20	5	simulated	simulated	ADJ
fq977s78q4j	20	6	single	single	ADJ
fq977s78q4j	20	7	-	-	PUNCT
fq977s78q4j	20	8	cell	cell	NOUN
fq977s78q4j	20	9	omics	omic	NOUN
fq977s78q4j	20	10	datasets	dataset	NOUN
fq977s78q4j	20	11	,	,	PUNCT
fq977s78q4j	20	12	the	the	DET
fq977s78q4j	20	13	performance	performance	NOUN
fq977s78q4j	20	14	of	of	ADP
fq977s78q4j	20	15	vimmo	vimmo	PROPN
fq977s78q4j	20	16	is	be	AUX
fq977s78q4j	20	17	studied	study	VERB
fq977s78q4j	20	18	and	and	CCONJ
fq977s78q4j	20	19	compared	compare	VERB
fq977s78q4j	20	20	to	to	ADP
fq977s78q4j	20	21	that	that	PRON
fq977s78q4j	20	22	of	of	ADP
fq977s78q4j	20	23	wnn	wnn	NOUN
fq977s78q4j	20	24	,	,	PUNCT
fq977s78q4j	20	25	and	and	CCONJ
fq977s78q4j	20	26	it	it	PRON
fq977s78q4j	20	27	is	be	AUX
fq977s78q4j	20	28	found	find	VERB
fq977s78q4j	20	29	that	that	SCONJ
fq977s78q4j	20	30	vimmo	vimmo	PROPN
fq977s78q4j	20	31	performed	perform	VERB
fq977s78q4j	20	32	better	well	ADV
fq977s78q4j	20	33	than	than	ADP
fq977s78q4j	20	34	wnn	wnn	NOUN
fq977s78q4j	20	35	in	in	ADP
fq977s78q4j	20	36	various	various	ADJ
fq977s78q4j	20	37	scenarios	scenario	NOUN
fq977s78q4j	20	38	.	.	PUNCT