id	sid	tid	token	lemma	pos
fcis-31264	1	1	frontiers	frontier	NOUN
fcis-31264	1	2	in	in	ADP
fcis-31264	1	3	computing	computing	NOUN
fcis-31264	1	4	and	and	CCONJ
fcis-31264	1	5	intelligent	intelligent	ADJ
fcis-31264	1	6	systems	system	NOUN
fcis-31264	1	7	issn	issn	VERB
fcis-31264	1	8	:	:	PUNCT
fcis-31264	1	9	2832	2832	NUM
fcis-31264	1	10	-	-	SYM
fcis-31264	1	11	6024	6024	NUM
fcis-31264	1	12	|	|	NOUN
fcis-31264	1	13	vol	vol	NOUN
fcis-31264	1	14	.	.	PROPN
fcis-31264	2	1	12	12	NUM
fcis-31264	2	2	,	,	PUNCT
fcis-31264	2	3	no	no	INTJ
fcis-31264	2	4	.	.	NOUN
fcis-31264	2	5	3	3	NUM
fcis-31264	2	6	,	,	PUNCT
fcis-31264	2	7	2025	2025	NUM
fcis-31264	2	8	100	100	NUM
fcis-31264	2	9	predicting	predict	VERB
fcis-31264	2	10	multigene	multigene	ADV
fcis-31264	2	11	transcriptional	transcriptional	ADJ
fcis-31264	2	12	outcomes	outcome	NOUN
fcis-31264	2	13	based	base	VERB
fcis-31264	2	14	on	on	ADP
fcis-31264	2	15	dual‐stream	dual‐stream	PROPN
fcis-31264	2	16	mamba	mamba	PROPN
fcis-31264	2	17	neural	neural	PROPN
fcis-31264	2	18	network	network	PROPN
fcis-31264	2	19	hao	hao	PROPN
fcis-31264	2	20	li	li	PROPN
fcis-31264	2	21	1	1	NUM
fcis-31264	2	22	,	,	PUNCT
fcis-31264	2	23	2	2	NUM
fcis-31264	2	24	,	,	PUNCT
fcis-31264	2	25	liyu	liyu	NOUN
fcis-31264	2	26	liu	liu	PROPN
fcis-31264	2	27	1	1	NUM
fcis-31264	2	28	,	,	PUNCT
fcis-31264	2	29	2	2	NUM
fcis-31264	2	30	,	,	PUNCT
fcis-31264	2	31	*	*	PUNCT
fcis-31264	2	32	1	1	NUM
fcis-31264	2	33	postgraduate	postgraduate	NOUN
fcis-31264	2	34	training	training	NOUN
fcis-31264	2	35	base	base	NOUN
fcis-31264	2	36	alliance	alliance	NOUN
fcis-31264	2	37	of	of	ADP
fcis-31264	2	38	wenzhou	wenzhou	PROPN
fcis-31264	2	39	medical	medical	PROPN
fcis-31264	2	40	university	university	PROPN
fcis-31264	2	41	,	,	PUNCT
fcis-31264	2	42	wenzhou	wenzhou	PROPN
fcis-31264	2	43	,	,	PUNCT
fcis-31264	2	44	zhejiang	zhejiang	PROPN
fcis-31264	2	45	325000	325000	NUM
fcis-31264	2	46	,	,	PUNCT
fcis-31264	2	47	china	china	PROPN
fcis-31264	2	48	2	2	NUM
fcis-31264	2	49	wenzhou	wenzhou	PROPN
fcis-31264	2	50	key	key	PROPN
fcis-31264	2	51	laboratory	laboratory	NOUN
fcis-31264	2	52	of	of	ADP
fcis-31264	2	53	biophysics	biophysics	PROPN
fcis-31264	2	54	,	,	PUNCT
fcis-31264	2	55	wenzhou	wenzhou	PROPN
fcis-31264	2	56	institute	institute	PROPN
fcis-31264	2	57	,	,	PUNCT
fcis-31264	2	58	university	university	PROPN
fcis-31264	2	59	of	of	ADP
fcis-31264	2	60	chinese	chinese	PROPN
fcis-31264	2	61	academy	academy	PROPN
fcis-31264	2	62	of	of	ADP
fcis-31264	2	63	sciences	sciences	PROPN
fcis-31264	2	64	,	,	PUNCT
fcis-31264	2	65	wenzhou	wenzhou	PROPN
fcis-31264	2	66	,	,	PUNCT
fcis-31264	2	67	zhejiang	zhejiang	PROPN
fcis-31264	2	68	325001	325001	NUM
fcis-31264	2	69	,	,	PUNCT
fcis-31264	2	70	china	china	PROPN
fcis-31264	2	71	*	*	PUNCT
fcis-31264	2	72	corresponding	correspond	VERB
fcis-31264	2	73	author	author	NOUN
fcis-31264	2	74	:	:	PUNCT
fcis-31264	2	75	liyu	liyu	PROPN
fcis-31264	2	76	liu	liu	PROPN
fcis-31264	2	77	abstract	abstract	PROPN
fcis-31264	2	78	:	:	PUNCT
fcis-31264	2	79	the	the	DET
fcis-31264	2	80	integration	integration	NOUN
fcis-31264	2	81	of	of	ADP
fcis-31264	2	82	gene	gene	NOUN
fcis-31264	2	83	perturbation	perturbation	NOUN
fcis-31264	2	84	technology	technology	NOUN
fcis-31264	2	85	with	with	ADP
fcis-31264	2	86	single	single	ADJ
fcis-31264	2	87	-	-	PUNCT
fcis-31264	2	88	cell	cell	NOUN
fcis-31264	2	89	rna	rna	NOUN
fcis-31264	2	90	sequencing	sequencing	NOUN
fcis-31264	2	91	and	and	CCONJ
fcis-31264	2	92	crispr	crispr	ADJ
fcis-31264	2	93	editing	editing	NOUN
fcis-31264	2	94	has	have	AUX
fcis-31264	2	95	promoted	promote	VERB
fcis-31264	2	96	the	the	DET
fcis-31264	2	97	standardization	standardization	NOUN
fcis-31264	2	98	of	of	ADP
fcis-31264	2	99	perturbation	perturbation	NOUN
fcis-31264	2	100	effect	effect	NOUN
fcis-31264	2	101	studies	study	NOUN
fcis-31264	2	102	at	at	ADP
fcis-31264	2	103	the	the	DET
fcis-31264	2	104	single	single	ADJ
fcis-31264	2	105	-	-	PUNCT
fcis-31264	2	106	cell	cell	NOUN
fcis-31264	2	107	level	level	NOUN
fcis-31264	2	108	.	.	PUNCT
fcis-31264	3	1	however	however	ADV
fcis-31264	3	2	,	,	PUNCT
fcis-31264	3	3	the	the	DET
fcis-31264	3	4	diversity	diversity	NOUN
fcis-31264	3	5	of	of	ADP
fcis-31264	3	6	human	human	ADJ
fcis-31264	3	7	cell	cell	NOUN
fcis-31264	3	8	types	type	NOUN
fcis-31264	3	9	and	and	CCONJ
fcis-31264	3	10	computational	computational	ADJ
fcis-31264	3	11	complexity	complexity	NOUN
fcis-31264	3	12	of	of	ADP
fcis-31264	3	13	perturbation	perturbation	NOUN
fcis-31264	3	14	combinations	combination	NOUN
fcis-31264	3	15	make	make	VERB
fcis-31264	3	16	exhaustive	exhaustive	ADJ
fcis-31264	3	17	experimental	experimental	ADJ
fcis-31264	3	18	exploration	exploration	NOUN
fcis-31264	3	19	infeasible	infeasible	ADJ
fcis-31264	3	20	.	.	PUNCT
fcis-31264	4	1	in	in	ADP
fcis-31264	4	2	this	this	DET
fcis-31264	4	3	context	context	NOUN
fcis-31264	4	4	,	,	PUNCT
fcis-31264	4	5	transcriptional	transcriptional	ADJ
fcis-31264	4	6	prediction	prediction	NOUN
fcis-31264	4	7	models	model	NOUN
fcis-31264	4	8	for	for	ADP
fcis-31264	4	9	multi	multi	ADJ
fcis-31264	4	10	-	-	ADJ
fcis-31264	4	11	gene	gene	ADJ
fcis-31264	4	12	perturbations	perturbation	NOUN
fcis-31264	4	13	have	have	AUX
fcis-31264	4	14	undergone	undergo	VERB
fcis-31264	4	15	a	a	DET
fcis-31264	4	16	paradigm	paradigm	NOUN
fcis-31264	4	17	shift	shift	NOUN
fcis-31264	4	18	from	from	ADP
fcis-31264	4	19	traditional	traditional	ADJ
fcis-31264	4	20	statistical	statistical	ADJ
fcis-31264	4	21	modeling	modeling	NOUN
fcis-31264	4	22	to	to	ADP
fcis-31264	4	23	deep	deep	ADJ
fcis-31264	4	24	learning	learning	NOUN
fcis-31264	4	25	-	-	PUNCT
fcis-31264	4	26	driven	drive	VERB
fcis-31264	4	27	approaches	approach	NOUN
fcis-31264	4	28	.	.	PUNCT
fcis-31264	5	1	nevertheless	nevertheless	ADV
fcis-31264	5	2	,	,	PUNCT
fcis-31264	5	3	challenges	challenge	NOUN
fcis-31264	5	4	persist	persist	VERB
fcis-31264	5	5	,	,	PUNCT
fcis-31264	5	6	including	include	VERB
fcis-31264	5	7	difficulties	difficulty	NOUN
fcis-31264	5	8	in	in	ADP
fcis-31264	5	9	adapting	adapt	VERB
fcis-31264	5	10	to	to	ADP
fcis-31264	5	11	genomescale	genomescale	NOUN
fcis-31264	5	12	applications	application	NOUN
fcis-31264	5	13	and	and	CCONJ
fcis-31264	5	14	limitations	limitation	NOUN
fcis-31264	5	15	to	to	ADP
fcis-31264	5	16	single	single	ADJ
fcis-31264	5	17	-	-	PUNCT
fcis-31264	5	18	gene	gene	NOUN
fcis-31264	5	19	perturbation	perturbation	NOUN
fcis-31264	5	20	analysis	analysis	NOUN
fcis-31264	5	21	.	.	PUNCT
fcis-31264	6	1	to	to	PART
fcis-31264	6	2	address	address	VERB
fcis-31264	6	3	these	these	DET
fcis-31264	6	4	issues	issue	NOUN
fcis-31264	6	5	,	,	PUNCT
fcis-31264	6	6	this	this	DET
fcis-31264	6	7	study	study	NOUN
fcis-31264	6	8	proposes	propose	VERB
fcis-31264	6	9	a	a	DET
fcis-31264	6	10	mambabased	mambabase	VERB
fcis-31264	6	11	deep	deep	ADJ
fcis-31264	6	12	learning	learning	NOUN
fcis-31264	6	13	algorithm	algorithm	NOUN
fcis-31264	6	14	that	that	PRON
fcis-31264	6	15	constructs	construct	VERB
fcis-31264	6	16	a	a	DET
fcis-31264	6	17	dual	dual	ADJ
fcis-31264	6	18	-	-	PUNCT
fcis-31264	6	19	stream	stream	NOUN
fcis-31264	6	20	integration	integration	NOUN
fcis-31264	6	21	framework	framework	NOUN
fcis-31264	6	22	for	for	ADP
fcis-31264	6	23	multi	multi	ADJ
fcis-31264	6	24	-	-	ADJ
fcis-31264	6	25	gene	gene	ADJ
fcis-31264	6	26	perturbation	perturbation	NOUN
fcis-31264	6	27	response	response	NOUN
fcis-31264	6	28	prediction	prediction	NOUN
fcis-31264	6	29	.	.	PUNCT
fcis-31264	7	1	the	the	DET
fcis-31264	7	2	model	model	NOUN
fcis-31264	7	3	establishes	establish	VERB
fcis-31264	7	4	dual	dual	ADJ
fcis-31264	7	5	-	-	PUNCT
fcis-31264	7	6	stream	stream	NOUN
fcis-31264	7	7	architecture	architecture	NOUN
fcis-31264	7	8	to	to	PART
fcis-31264	7	9	capture	capture	VERB
fcis-31264	7	10	both	both	CCONJ
fcis-31264	7	11	statistical	statistical	ADJ
fcis-31264	7	12	and	and	CCONJ
fcis-31264	7	13	biological	biological	ADJ
fcis-31264	7	14	features	feature	NOUN
fcis-31264	7	15	of	of	ADP
fcis-31264	7	16	gene	gene	NOUN
fcis-31264	7	17	expression	expression	NOUN
fcis-31264	7	18	data	datum	NOUN
fcis-31264	7	19	,	,	PUNCT
fcis-31264	7	20	circumventing	circumvent	VERB
fcis-31264	7	21	the	the	DET
fcis-31264	7	22	limitations	limitation	NOUN
fcis-31264	7	23	of	of	ADP
fcis-31264	7	24	single	single	ADJ
fcis-31264	7	25	dataor	dataor	NOUN
fcis-31264	7	26	knowledge	knowledge	NOUN
fcis-31264	7	27	-	-	PUNCT
fcis-31264	7	28	driven	drive	VERB
fcis-31264	7	29	approaches	approach	NOUN
fcis-31264	7	30	.	.	PUNCT
fcis-31264	8	1	the	the	DET
fcis-31264	8	2	core	core	PROPN
fcis-31264	8	3	mamba	mamba	NOUN
fcis-31264	8	4	component	component	NOUN
fcis-31264	8	5	leverages	leverage	VERB
fcis-31264	8	6	its	its	PRON
fcis-31264	8	7	linear	linear	ADJ
fcis-31264	8	8	computational	computational	ADJ
fcis-31264	8	9	complexity	complexity	NOUN
fcis-31264	8	10	and	and	CCONJ
fcis-31264	8	11	selective	selective	ADJ
fcis-31264	8	12	memory	memory	NOUN
fcis-31264	8	13	mechanism	mechanism	NOUN
fcis-31264	8	14	to	to	PART
fcis-31264	8	15	achieve	achieve	VERB
fcis-31264	8	16	precise	precise	ADJ
fcis-31264	8	17	modeling	modeling	NOUN
fcis-31264	8	18	of	of	ADP
fcis-31264	8	19	gene	gene	NOUN
fcis-31264	8	20	-	-	PUNCT
fcis-31264	8	21	gene	gene	NOUN
fcis-31264	8	22	interactions	interaction	NOUN
fcis-31264	8	23	while	while	SCONJ
fcis-31264	8	24	maintaining	maintain	VERB
fcis-31264	8	25	computational	computational	ADJ
fcis-31264	8	26	efficiency	efficiency	NOUN
fcis-31264	8	27	.	.	PUNCT
fcis-31264	9	1	its	its	PRON
fcis-31264	9	2	input	input	NOUN
fcis-31264	9	3	-	-	PUNCT
fcis-31264	9	4	dependent	dependent	ADJ
fcis-31264	9	5	parameterization	parameterization	NOUN
fcis-31264	9	6	strategy	strategy	NOUN
fcis-31264	9	7	enables	enable	VERB
fcis-31264	9	8	effective	effective	ADJ
fcis-31264	9	9	mining	mining	NOUN
fcis-31264	9	10	of	of	ADP
fcis-31264	9	11	complex	complex	ADJ
fcis-31264	9	12	data	data	NOUN
fcis-31264	9	13	features	feature	NOUN
fcis-31264	9	14	.	.	PUNCT
fcis-31264	10	1	analytical	analytical	ADJ
fcis-31264	10	2	results	result	NOUN
fcis-31264	10	3	demonstrate	demonstrate	VERB
fcis-31264	10	4	that	that	SCONJ
fcis-31264	10	5	the	the	DET
fcis-31264	10	6	proposed	propose	VERB
fcis-31264	10	7	model	model	NOUN
fcis-31264	10	8	exhibits	exhibit	VERB
fcis-31264	10	9	superior	superior	ADJ
fcis-31264	10	10	performance	performance	NOUN
fcis-31264	10	11	in	in	ADP
fcis-31264	10	12	gene	gene	NOUN
fcis-31264	10	13	perturbation	perturbation	NOUN
fcis-31264	10	14	prediction	prediction	NOUN
fcis-31264	10	15	while	while	SCONJ
fcis-31264	10	16	providing	provide	VERB
fcis-31264	10	17	biological	biological	ADJ
fcis-31264	10	18	interpretability	interpretability	NOUN
fcis-31264	10	19	,	,	PUNCT
fcis-31264	10	20	establishing	establish	VERB
fcis-31264	10	21	it	it	PRON
fcis-31264	10	22	as	as	ADP
fcis-31264	10	23	an	an	DET
fcis-31264	10	24	effective	effective	ADJ
fcis-31264	10	25	methodology	methodology	NOUN
fcis-31264	10	26	.	.	PUNCT
fcis-31264	11	1	keywords	keyword	NOUN
fcis-31264	11	2	:	:	PUNCT
fcis-31264	11	3	genetic	genetic	ADJ
fcis-31264	11	4	perturbation	perturbation	NOUN
fcis-31264	11	5	prediction	prediction	NOUN
fcis-31264	11	6	;	;	PUNCT
fcis-31264	11	7	genomics	genomic	NOUN
fcis-31264	11	8	;	;	PUNCT
fcis-31264	11	9	mamba	mamba	NOUN
fcis-31264	11	10	encoder	encoder	NOUN
fcis-31264	11	11	;	;	PUNCT
fcis-31264	11	12	variational	variational	ADJ
fcis-31264	11	13	autoencoder	autoencoder	NOUN
fcis-31264	11	14	.	.	PUNCT
fcis-31264	12	1	1	1	X
fcis-31264	12	2	.	.	X
fcis-31264	12	3	introduction	introduction	NOUN
fcis-31264	12	4	despite	despite	SCONJ
fcis-31264	12	5	centuries	century	NOUN
fcis-31264	12	6	of	of	ADP
fcis-31264	12	7	biological	biological	ADJ
fcis-31264	12	8	exploration	exploration	NOUN
fcis-31264	12	9	,	,	PUNCT
fcis-31264	12	10	fundamental	fundamental	ADJ
fcis-31264	12	11	challenges	challenge	NOUN
fcis-31264	12	12	persist	persist	VERB
fcis-31264	12	13	in	in	ADP
fcis-31264	12	14	understanding	understand	VERB
fcis-31264	12	15	the	the	DET
fcis-31264	12	16	operational	operational	ADJ
fcis-31264	12	17	mechanisms	mechanism	NOUN
fcis-31264	12	18	of	of	ADP
fcis-31264	12	19	cells	cell	NOUN
fcis-31264	12	20	—	—	PUNCT
fcis-31264	12	21	the	the	DET
fcis-31264	12	22	fundamental	fundamental	ADJ
fcis-31264	12	23	units	unit	NOUN
fcis-31264	12	24	of	of	ADP
fcis-31264	12	25	life	life	NOUN
fcis-31264	12	26	—	—	PUNCT
fcis-31264	12	27	within	within	ADP
fcis-31264	12	28	the	the	DET
fcis-31264	12	29	human	human	ADJ
fcis-31264	12	30	body	body	NOUN
fcis-31264	12	31	.	.	PUNCT
fcis-31264	13	1	while	while	SCONJ
fcis-31264	13	2	modern	modern	ADJ
fcis-31264	13	3	biotechnology	biotechnology	NOUN
fcis-31264	13	4	has	have	AUX
fcis-31264	13	5	enabled	enable	VERB
fcis-31264	13	6	the	the	DET
fcis-31264	13	7	static	static	ADJ
fcis-31264	13	8	mapping	mapping	NOUN
fcis-31264	13	9	of	of	ADP
fcis-31264	13	10	molecular	molecular	ADJ
fcis-31264	13	11	compositions	composition	NOUN
fcis-31264	13	12	(	(	PUNCT
fcis-31264	13	13	e.g.	e.g.	ADV
fcis-31264	13	14	,	,	PUNCT
fcis-31264	13	15	genome	genome	NOUN
fcis-31264	13	16	,	,	PUNCT
fcis-31264	13	17	transcriptome	transcriptome	NOUN
fcis-31264	13	18	,	,	PUNCT
fcis-31264	13	19	proteome	proteome	ADJ
fcis-31264	13	20	,	,	PUNCT
fcis-31264	13	21	metabolome	metabolome	PROPN
fcis-31264	13	22	)	)	PUNCT
fcis-31264	13	23	and	and	CCONJ
fcis-31264	13	24	their	their	PRON
fcis-31264	13	25	spatial	spatial	ADJ
fcis-31264	13	26	distributions	distribution	NOUN
fcis-31264	13	27	,	,	PUNCT
fcis-31264	13	28	the	the	DET
fcis-31264	13	29	inherent	inherent	ADJ
fcis-31264	13	30	complexity	complexity	NOUN
fcis-31264	13	31	of	of	ADP
fcis-31264	13	32	cells	cell	NOUN
fcis-31264	13	33	remains	remain	VERB
fcis-31264	13	34	difficult	difficult	ADJ
fcis-31264	13	35	to	to	PART
fcis-31264	13	36	resolve	resolve	VERB
fcis-31264	13	37	.	.	PUNCT
fcis-31264	14	1	this	this	DET
fcis-31264	14	2	complexity	complexity	NOUN
fcis-31264	14	3	primarily	primarily	ADV
fcis-31264	14	4	arises	arise	VERB
fcis-31264	14	5	from	from	ADP
fcis-31264	14	6	the	the	DET
fcis-31264	14	7	highly	highly	ADV
fcis-31264	14	8	dynamic	dynamic	ADJ
fcis-31264	14	9	interactions	interaction	NOUN
fcis-31264	14	10	between	between	ADP
fcis-31264	14	11	molecules	molecule	NOUN
fcis-31264	14	12	that	that	PRON
fcis-31264	14	13	drive	drive	VERB
fcis-31264	14	14	cellular	cellular	ADJ
fcis-31264	14	15	functional	functional	ADJ
fcis-31264	14	16	differentiation	differentiation	NOUN
fcis-31264	14	17	[	[	X
fcis-31264	14	18	1	1	NUM
fcis-31264	14	19	]	]	PUNCT
fcis-31264	14	20	.	.	PUNCT
fcis-31264	15	1	research	research	NOUN
fcis-31264	15	2	findings	finding	NOUN
fcis-31264	15	3	derived	derive	VERB
fcis-31264	15	4	from	from	ADP
fcis-31264	15	5	genetic	genetic	ADJ
fcis-31264	15	6	perturbation	perturbation	NOUN
fcis-31264	15	7	techniques	technique	NOUN
fcis-31264	15	8	,	,	PUNCT
fcis-31264	15	9	a	a	DET
fcis-31264	15	10	core	core	NOUN
fcis-31264	15	11	methodology	methodology	NOUN
fcis-31264	15	12	for	for	ADP
fcis-31264	15	13	dissecting	dissect	VERB
fcis-31264	15	14	genetic	genetic	ADJ
fcis-31264	15	15	interaction	interaction	NOUN
fcis-31264	15	16	networks	network	NOUN
fcis-31264	15	17	and	and	CCONJ
fcis-31264	15	18	their	their	PRON
fcis-31264	15	19	impact	impact	NOUN
fcis-31264	15	20	on	on	ADP
fcis-31264	15	21	cellular	cellular	ADJ
fcis-31264	15	22	function	function	NOUN
fcis-31264	15	23	,	,	PUNCT
fcis-31264	15	24	are	be	AUX
fcis-31264	15	25	progressively	progressively	ADV
fcis-31264	15	26	forming	form	VERB
fcis-31264	15	27	a	a	DET
fcis-31264	15	28	crucial	crucial	ADJ
fcis-31264	15	29	scientific	scientific	ADJ
fcis-31264	15	30	foundation	foundation	NOUN
fcis-31264	15	31	for	for	ADP
fcis-31264	15	32	modern	modern	ADJ
fcis-31264	15	33	biotechnological	biotechnological	ADJ
fcis-31264	15	34	innovation	innovation	NOUN
fcis-31264	15	35	and	and	CCONJ
fcis-31264	15	36	disease	disease	NOUN
fcis-31264	15	37	treatment	treatment	NOUN
fcis-31264	15	38	theories	theory	NOUN
fcis-31264	15	39	[	[	X
fcis-31264	15	40	2	2	NUM
fcis-31264	15	41	]	]	PUNCT
fcis-31264	15	42	.	.	PUNCT
fcis-31264	16	1	recent	recent	ADJ
fcis-31264	16	2	years	year	NOUN
fcis-31264	16	3	have	have	AUX
fcis-31264	16	4	witnessed	witness	VERB
fcis-31264	16	5	the	the	DET
fcis-31264	16	6	breakthrough	breakthrough	ADJ
fcis-31264	16	7	development	development	NOUN
fcis-31264	16	8	of	of	ADP
fcis-31264	16	9	single	single	ADJ
fcis-31264	16	10	-	-	PUNCT
fcis-31264	16	11	cell	cell	NOUN
fcis-31264	16	12	rna	rna	NOUN
fcis-31264	16	13	sequencing	sequence	VERB
fcis-31264	16	14	(	(	PUNCT
fcis-31264	16	15	scrna	scrna	NOUN
fcis-31264	16	16	-	-	PUNCT
fcis-31264	16	17	seq	seq	NOUN
fcis-31264	16	18	)	)	PUNCT
fcis-31264	16	19	technology	technology	NOUN
fcis-31264	16	20	[	[	X
fcis-31264	16	21	3	3	NUM
fcis-31264	16	22	]	]	PUNCT
fcis-31264	16	23	.	.	PUNCT
fcis-31264	17	1	its	its	PRON
fcis-31264	17	2	integration	integration	NOUN
fcis-31264	17	3	with	with	ADP
fcis-31264	17	4	high	high	ADJ
fcis-31264	17	5	-	-	PUNCT
fcis-31264	17	6	throughput	throughput	NOUN
fcis-31264	17	7	genetic	genetic	ADJ
fcis-31264	17	8	perturbation	perturbation	NOUN
fcis-31264	17	9	screening	screen	VERB
fcis-31264	17	10	[	[	X
fcis-31264	17	11	4	4	NUM
fcis-31264	17	12	]	]	PUNCT
fcis-31264	17	13	and	and	CCONJ
fcis-31264	17	14	crispr	crispr	NOUN
fcis-31264	17	15	-	-	PUNCT
fcis-31264	17	16	mediated	mediate	VERB
fcis-31264	17	17	gene	gene	NOUN
fcis-31264	17	18	editing	edit	VERB
fcis-31264	17	19	[	[	X
fcis-31264	17	20	5	5	NUM
fcis-31264	17	21	]	]	PUNCT
fcis-31264	17	22	has	have	AUX
fcis-31264	17	23	driven	drive	VERB
fcis-31264	17	24	technological	technological	ADJ
fcis-31264	17	25	innovation	innovation	NOUN
fcis-31264	17	26	and	and	CCONJ
fcis-31264	17	27	established	establish	VERB
fcis-31264	17	28	standardized	standardized	ADJ
fcis-31264	17	29	research	research	NOUN
fcis-31264	17	30	paradigms	paradigm	NOUN
fcis-31264	17	31	within	within	ADP
fcis-31264	17	32	the	the	DET
fcis-31264	17	33	field	field	NOUN
fcis-31264	18	1	[	[	X
fcis-31264	18	2	6	6	NUM
fcis-31264	18	3	]	]	PUNCT
fcis-31264	18	4	.	.	PUNCT
fcis-31264	19	1	this	this	DET
fcis-31264	19	2	technological	technological	ADJ
fcis-31264	19	3	convergence	convergence	NOUN
fcis-31264	19	4	enables	enable	VERB
fcis-31264	19	5	researchers	researcher	NOUN
fcis-31264	19	6	to	to	PART
fcis-31264	19	7	systematically	systematically	ADV
fcis-31264	19	8	analyze	analyze	VERB
fcis-31264	19	9	the	the	DET
fcis-31264	19	10	downstream	downstream	ADJ
fcis-31264	19	11	regulatory	regulatory	ADJ
fcis-31264	19	12	effects	effect	NOUN
fcis-31264	19	13	of	of	ADP
fcis-31264	19	14	genetic	genetic	ADJ
fcis-31264	19	15	perturbations	perturbation	NOUN
fcis-31264	19	16	on	on	ADP
fcis-31264	19	17	cell	cell	NOUN
fcis-31264	19	18	states	state	NOUN
fcis-31264	19	19	at	at	ADP
fcis-31264	19	20	single	single	ADJ
fcis-31264	19	21	-	-	PUNCT
fcis-31264	19	22	cell	cell	NOUN
fcis-31264	19	23	resolution	resolution	NOUN
fcis-31264	19	24	[	[	X
fcis-31264	19	25	7	7	NUM
fcis-31264	19	26	]	]	PUNCT
fcis-31264	19	27	.	.	PUNCT
fcis-31264	20	1	however	however	ADV
fcis-31264	20	2	,	,	PUNCT
fcis-31264	20	3	the	the	DET
fcis-31264	20	4	vast	vast	ADJ
fcis-31264	20	5	diversity	diversity	NOUN
fcis-31264	20	6	of	of	ADP
fcis-31264	20	7	human	human	ADJ
fcis-31264	20	8	cell	cell	NOUN
fcis-31264	20	9	types	type	NOUN
fcis-31264	20	10	and	and	CCONJ
fcis-31264	20	11	the	the	DET
fcis-31264	20	12	exponential	exponential	ADJ
fcis-31264	20	13	growth	growth	NOUN
fcis-31264	20	14	in	in	ADP
fcis-31264	20	15	computational	computational	ADJ
fcis-31264	20	16	complexity	complexity	NOUN
fcis-31264	20	17	associated	associate	VERB
fcis-31264	20	18	with	with	ADP
fcis-31264	20	19	potential	potential	ADJ
fcis-31264	20	20	perturbation	perturbation	NOUN
fcis-31264	20	21	combinations	combination	NOUN
fcis-31264	20	22	render	render	VERB
fcis-31264	20	23	exhaustive	exhaustive	ADJ
fcis-31264	20	24	experimental	experimental	ADJ
fcis-31264	20	25	characterization	characterization	NOUN
fcis-31264	20	26	of	of	ADP
fcis-31264	20	27	cellular	cellular	ADJ
fcis-31264	20	28	responses	response	NOUN
fcis-31264	20	29	under	under	ADP
fcis-31264	20	30	all	all	DET
fcis-31264	20	31	perturbation	perturbation	NOUN
fcis-31264	20	32	conditions	condition	NOUN
fcis-31264	20	33	temporally	temporally	ADV
fcis-31264	20	34	and	and	CCONJ
fcis-31264	20	35	resource	resource	NOUN
fcis-31264	20	36	-	-	PUNCT
fcis-31264	20	37	wise	wise	ADJ
fcis-31264	20	38	infeasible	infeasible	ADJ
fcis-31264	20	39	.	.	PUNCT
fcis-31264	21	1	consequently	consequently	ADV
fcis-31264	21	2	,	,	PUNCT
fcis-31264	21	3	the	the	DET
fcis-31264	21	4	research	research	NOUN
fcis-31264	21	5	paradigm	paradigm	NOUN
fcis-31264	21	6	for	for	ADP
fcis-31264	21	7	predicting	predict	VERB
fcis-31264	21	8	transcriptomic	transcriptomic	ADJ
fcis-31264	21	9	effects	effect	NOUN
fcis-31264	21	10	of	of	ADP
fcis-31264	21	11	multi	multi	ADJ
fcis-31264	21	12	-	-	ADJ
fcis-31264	21	13	gene	gene	ADJ
fcis-31264	21	14	perturbations	perturbation	NOUN
fcis-31264	21	15	has	have	AUX
fcis-31264	21	16	undergone	undergo	VERB
fcis-31264	21	17	a	a	DET
fcis-31264	21	18	fundamental	fundamental	ADJ
fcis-31264	21	19	shift	shift	NOUN
fcis-31264	21	20	:	:	PUNCT
fcis-31264	21	21	evolving	evolve	VERB
fcis-31264	21	22	from	from	ADP
fcis-31264	21	23	early	early	ADJ
fcis-31264	21	24	traditional	traditional	ADJ
fcis-31264	21	25	statistical	statistical	ADJ
fcis-31264	21	26	models	model	NOUN
fcis-31264	21	27	to	to	ADP
fcis-31264	21	28	deep	deep	ADJ
fcis-31264	21	29	learning	learning	NOUN
fcis-31264	21	30	frameworks	framework	NOUN
fcis-31264	21	31	integrating	integrate	VERB
fcis-31264	21	32	biological	biological	ADJ
fcis-31264	21	33	prior	prior	ADJ
fcis-31264	21	34	knowledge	knowledge	NOUN
fcis-31264	21	35	,	,	PUNCT
fcis-31264	21	36	achieving	achieve	VERB
fcis-31264	21	37	breakthroughs	breakthrough	NOUN
fcis-31264	21	38	in	in	ADP
fcis-31264	21	39	key	key	ADJ
fcis-31264	21	40	dimensions	dimension	NOUN
fcis-31264	21	41	such	such	ADJ
fcis-31264	21	42	as	as	ADP
fcis-31264	21	43	interpretability	interpretability	NOUN
fcis-31264	21	44	and	and	CCONJ
fcis-31264	21	45	computational	computational	ADJ
fcis-31264	21	46	efficiency	efficiency	NOUN
fcis-31264	21	47	.	.	PUNCT
fcis-31264	22	1	crucially	crucially	ADV
fcis-31264	22	2	,	,	PUNCT
fcis-31264	22	3	single	single	ADJ
fcis-31264	22	4	-	-	PUNCT
fcis-31264	22	5	cell	cell	NOUN
fcis-31264	22	6	multi	multi	ADJ
fcis-31264	22	7	-	-	ADJ
fcis-31264	22	8	omics	omics	ADJ
fcis-31264	22	9	data	datum	NOUN
fcis-31264	22	10	provides	provide	VERB
fcis-31264	22	11	an	an	DET
fcis-31264	22	12	ideal	ideal	ADJ
fcis-31264	22	13	substrate	substrate	NOUN
fcis-31264	22	14	for	for	ADP
fcis-31264	22	15	deep	deep	ADJ
fcis-31264	22	16	learning	learning	NOUN
fcis-31264	22	17	techniques	technique	NOUN
fcis-31264	22	18	,	,	PUNCT
fcis-31264	22	19	facilitating	facilitate	VERB
fcis-31264	22	20	efficient	efficient	ADJ
fcis-31264	22	21	modeling	modeling	NOUN
fcis-31264	22	22	in	in	ADP
fcis-31264	22	23	core	core	ADJ
fcis-31264	22	24	tasks	task	NOUN
fcis-31264	22	25	including	include	VERB
fcis-31264	22	26	cell	cell	NOUN
fcis-31264	22	27	segmentation	segmentation	NOUN
fcis-31264	22	28	[	[	X
fcis-31264	22	29	8	8	NUM
fcis-31264	22	30	,	,	PUNCT
fcis-31264	22	31	9	9	NUM
fcis-31264	22	32	]	]	PUNCT
fcis-31264	22	33	,	,	PUNCT
fcis-31264	22	34	subpopulation	subpopulation	NOUN
fcis-31264	22	35	clustering	cluster	VERB
fcis-31264	22	36	[	[	X
fcis-31264	22	37	10	10	NUM
fcis-31264	22	38	]	]	PUNCT
fcis-31264	22	39	,	,	PUNCT
fcis-31264	22	40	and	and	CCONJ
fcis-31264	22	41	drug	drug	NOUN
fcis-31264	22	42	response	response	NOUN
fcis-31264	22	43	prediction	prediction	NOUN
fcis-31264	22	44	[	[	X
fcis-31264	22	45	11	11	NUM
fcis-31264	22	46	]	]	PUNCT
fcis-31264	22	47	.	.	PUNCT
fcis-31264	23	1	during	during	ADP
fcis-31264	23	2	the	the	DET
fcis-31264	23	3	early	early	ADJ
fcis-31264	23	4	generative	generative	ADJ
fcis-31264	23	5	model	model	NOUN
fcis-31264	23	6	and	and	CCONJ
fcis-31264	23	7	linear	linear	ADJ
fcis-31264	23	8	propagation	propagation	NOUN
fcis-31264	23	9	phase	phase	NOUN
fcis-31264	23	10	,	,	PUNCT
fcis-31264	23	11	research	research	NOUN
fcis-31264	23	12	primarily	primarily	ADV
fcis-31264	23	13	relied	rely	VERB
fcis-31264	23	14	on	on	ADP
fcis-31264	23	15	generative	generative	ADJ
fcis-31264	23	16	models	model	NOUN
fcis-31264	23	17	to	to	PART
fcis-31264	23	18	capture	capture	VERB
fcis-31264	23	19	gene	gene	NOUN
fcis-31264	23	20	expression	expression	NOUN
fcis-31264	23	21	distribution	distribution	NOUN
fcis-31264	23	22	characteristics	characteristic	NOUN
fcis-31264	23	23	.	.	PUNCT
fcis-31264	24	1	in	in	ADP
fcis-31264	24	2	2019	2019	NUM
fcis-31264	24	3	,	,	PUNCT
fcis-31264	24	4	lotfollahi	lotfollahi	X
fcis-31264	24	5	et	et	PROPN
fcis-31264	24	6	al	al	PROPN
fcis-31264	24	7	.	.	PROPN
fcis-31264	24	8	proposed	propose	VERB
fcis-31264	24	9	scgen	scgen	PROPN
fcis-31264	24	10	,	,	PUNCT
fcis-31264	24	11	the	the	DET
fcis-31264	24	12	first	first	ADJ
fcis-31264	24	13	to	to	PART
fcis-31264	24	14	introduce	introduce	VERB
fcis-31264	24	15	variational	variational	ADJ
fcis-31264	24	16	autoencoders	autoencoder	NOUN
fcis-31264	24	17	(	(	PUNCT
fcis-31264	24	18	vaes	vaes	ADJ
fcis-31264	24	19	)	)	PUNCT
fcis-31264	24	20	for	for	ADP
fcis-31264	24	21	single	single	ADJ
fcis-31264	24	22	-	-	PUNCT
fcis-31264	24	23	cell	cell	NOUN
fcis-31264	24	24	perturbation	perturbation	NOUN
fcis-31264	24	25	prediction	prediction	NOUN
fcis-31264	24	26	.	.	PUNCT
fcis-31264	25	1	by	by	ADP
fcis-31264	25	2	interpolating	interpolate	VERB
fcis-31264	25	3	within	within	ADP
fcis-31264	25	4	a	a	DET
fcis-31264	25	5	latent	latent	ADJ
fcis-31264	25	6	space	space	NOUN
fcis-31264	25	7	to	to	PART
fcis-31264	25	8	estimate	estimate	VERB
fcis-31264	25	9	gene	gene	NOUN
fcis-31264	25	10	expression	expression	NOUN
fcis-31264	25	11	changes	change	NOUN
fcis-31264	25	12	,	,	PUNCT
fcis-31264	25	13	it	it	PRON
fcis-31264	25	14	achieved	achieve	VERB
fcis-31264	25	15	a	a	DET
fcis-31264	25	16	pearson	pearson	NOUN
fcis-31264	25	17	correlation	correlation	NOUN
fcis-31264	25	18	coefficient	coefficient	NOUN
fcis-31264	25	19	of	of	ADP
fcis-31264	25	20	0.78	0.78	NUM
fcis-31264	25	21	in	in	ADP
fcis-31264	25	22	cross	cross	ADJ
fcis-31264	25	23	-	-	ADJ
fcis-31264	25	24	cell	cell	ADJ
fcis-31264	25	25	-	-	PUNCT
fcis-31264	25	26	type	type	NOUN
fcis-31264	25	27	prediction	prediction	NOUN
fcis-31264	25	28	[	[	X
fcis-31264	25	29	12	12	NUM
fcis-31264	25	30	]	]	PUNCT
fcis-31264	25	31	.	.	PUNCT
fcis-31264	26	1	however	however	ADV
fcis-31264	26	2	,	,	PUNCT
fcis-31264	26	3	this	this	DET
fcis-31264	26	4	method	method	NOUN
fcis-31264	26	5	was	be	AUX
fcis-31264	26	6	limited	limit	VERB
fcis-31264	26	7	to	to	ADP
fcis-31264	26	8	single	single	ADJ
fcis-31264	26	9	-	-	PUNCT
fcis-31264	26	10	gene	gene	NOUN
fcis-31264	26	11	perturbations	perturbation	NOUN
fcis-31264	26	12	and	and	CCONJ
fcis-31264	26	13	lacked	lack	VERB
fcis-31264	26	14	mechanistic	mechanistic	ADJ
fcis-31264	26	15	interpretability	interpretability	NOUN
fcis-31264	26	16	.	.	PUNCT
fcis-31264	27	1	concurrently	concurrently	ADV
fcis-31264	27	2	,	,	PUNCT
fcis-31264	27	3	aibar	aibar	PROPN
fcis-31264	27	4	et	et	PROPN
fcis-31264	27	5	al	al	PROPN
fcis-31264	27	6	.	.	PROPN
fcis-31264	27	7	proposed	propose	VERB
fcis-31264	27	8	a	a	DET
fcis-31264	27	9	gene	gene	NOUN
fcis-31264	27	10	regulatory	regulatory	ADJ
fcis-31264	27	11	network	network	NOUN
fcis-31264	27	12	(	(	PUNCT
fcis-31264	27	13	grn)-based	grn)-base	VERB
fcis-31264	27	14	method	method	NOUN
fcis-31264	27	15	propagating	propagate	VERB
fcis-31264	27	16	perturbation	perturbation	NOUN
fcis-31264	27	17	effects	effect	NOUN
fcis-31264	27	18	linearly	linearly	ADV
fcis-31264	27	19	using	use	VERB
fcis-31264	27	20	gene	gene	NOUN
fcis-31264	27	21	coexpression	coexpression	NOUN
fcis-31264	27	22	matrices	matrix	NOUN
fcis-31264	27	23	to	to	PART
fcis-31264	27	24	construct	construct	VERB
fcis-31264	27	25	regulatory	regulatory	ADJ
fcis-31264	27	26	relationships	relationship	NOUN
fcis-31264	27	27	[	[	X
fcis-31264	27	28	13	13	NUM
fcis-31264	27	29	]	]	PUNCT
fcis-31264	27	30	.	.	PUNCT
fcis-31264	28	1	yet	yet	ADV
fcis-31264	28	2	,	,	PUNCT
fcis-31264	28	3	its	its	PRON
fcis-31264	28	4	prediction	prediction	NOUN
fcis-31264	28	5	error	error	NOUN
fcis-31264	28	6	increased	increase	VERB
fcis-31264	28	7	by	by	ADP
fcis-31264	28	8	42	42	NUM
fcis-31264	28	9	%	%	NOUN
fcis-31264	28	10	for	for	ADP
fcis-31264	28	11	multi	multi	ADJ
fcis-31264	28	12	-	-	ADJ
fcis-31264	28	13	gene	gene	ADJ
fcis-31264	28	14	combinations	combination	NOUN
fcis-31264	28	15	,	,	PUNCT
fcis-31264	28	16	and	and	CCONJ
fcis-31264	28	17	the	the	DET
fcis-31264	28	18	linear	linear	ADJ
fcis-31264	28	19	assumption	assumption	NOUN
fcis-31264	28	20	struggled	struggle	VERB
fcis-31264	28	21	to	to	PART
fcis-31264	28	22	capture	capture	VERB
fcis-31264	28	23	non	non	ADJ
fcis-31264	28	24	-	-	ADJ
fcis-31264	28	25	linear	linear	ADJ
fcis-31264	28	26	genetic	genetic	ADJ
fcis-31264	28	27	interactions	interaction	NOUN
fcis-31264	28	28	.	.	PUNCT
fcis-31264	29	1	the	the	DET
fcis-31264	29	2	exponential	exponential	ADJ
fcis-31264	29	3	increase	increase	NOUN
fcis-31264	29	4	in	in	ADP
fcis-31264	29	5	computational	computational	ADJ
fcis-31264	29	6	complexity	complexity	NOUN
fcis-31264	29	7	with	with	ADP
fcis-31264	29	8	the	the	DET
fcis-31264	29	9	number	number	NOUN
fcis-31264	29	10	of	of	ADP
fcis-31264	29	11	genes	gene	NOUN
fcis-31264	29	12	further	far	ADV
fcis-31264	29	13	spurred	spur	VERB
fcis-31264	29	14	the	the	DET
fcis-31264	29	15	emergence	emergence	NOUN
fcis-31264	29	16	of	of	ADP
fcis-31264	29	17	knowledge	knowledge	NOUN
fcis-31264	29	18	-	-	PUNCT
fcis-31264	29	19	enhanced	enhance	VERB
fcis-31264	29	20	models	model	NOUN
fcis-31264	29	21	.	.	PUNCT
fcis-31264	30	1	post-2020	post-2020	NOUN
fcis-31264	30	2	,	,	PUNCT
fcis-31264	30	3	researchers	researcher	NOUN
fcis-31264	30	4	began	begin	VERB
fcis-31264	30	5	integrating	integrate	VERB
fcis-31264	30	6	biological	biological	ADJ
fcis-31264	30	7	pathway	pathway	NOUN
fcis-31264	30	8	knowledge	knowledge	NOUN
fcis-31264	30	9	to	to	PART
fcis-31264	30	10	enhance	enhance	VERB
fcis-31264	30	11	model	model	NOUN
fcis-31264	30	12	generalizability	generalizability	NOUN
fcis-31264	30	13	.	.	PUNCT
fcis-31264	31	1	the	the	DET
fcis-31264	31	2	gears	gear	NOUN
fcis-31264	31	3	model	model	NOUN
fcis-31264	31	4	,	,	PUNCT
fcis-31264	31	5	proposed	propose	VERB
fcis-31264	31	6	by	by	ADP
fcis-31264	31	7	roohani	roohani	PROPN
fcis-31264	31	8	et	et	PROPN
fcis-31264	31	9	al	al	PROPN
fcis-31264	31	10	.	.	PROPN
fcis-31264	31	11	,	,	PUNCT
fcis-31264	31	12	utilized	utilize	VERB
fcis-31264	31	13	a	a	DET
fcis-31264	31	14	gene	gene	NOUN
fcis-31264	31	15	co	co	NOUN
fcis-31264	31	16	-	-	NOUN
fcis-31264	31	17	expression	expression	ADJ
fcis-31264	31	18	graph	graph	NOUN
fcis-31264	31	19	to	to	PART
fcis-31264	31	20	encode	encode	VERB
fcis-31264	31	21	transcriptional	transcriptional	NOUN
fcis-31264	31	22	synergy	synergy	NOUN
fcis-31264	31	23	,	,	PUNCT
fcis-31264	31	24	constructing	construct	VERB
fcis-31264	31	25	a	a	DET
fcis-31264	31	26	dual	dual	ADJ
fcis-31264	31	27	knowledge	knowledge	NOUN
fcis-31264	31	28	graph	graph	NOUN
fcis-31264	31	29	.	.	PUNCT
fcis-31264	32	1	it	it	PRON
fcis-31264	32	2	employed	employ	VERB
fcis-31264	32	3	gene	gene	NOUN
fcis-31264	32	4	ontology	ontology	NOUN
fcis-31264	32	5	(	(	PUNCT
fcis-31264	32	6	go	go	VERB
fcis-31264	32	7	)	)	PUNCT
fcis-31264	32	8	pathway	pathway	NOUN
fcis-31264	32	9	similarity	similarity	NOUN
fcis-31264	32	10	graphs	graph	VERB
fcis-31264	32	11	101	101	NUM
fcis-31264	32	12	to	to	PART
fcis-31264	32	13	guide	guide	VERB
fcis-31264	32	14	perturbation	perturbation	NOUN
fcis-31264	32	15	propagation	propagation	NOUN
fcis-31264	32	16	[	[	X
fcis-31264	32	17	14	14	NUM
fcis-31264	32	18	]	]	PUNCT
fcis-31264	32	19	and	and	CCONJ
fcis-31264	32	20	aggregated	aggregate	VERB
fcis-31264	32	21	neighborhood	neighborhood	NOUN
fcis-31264	32	22	information	information	NOUN
fcis-31264	32	23	via	via	ADP
fcis-31264	32	24	graph	graph	NOUN
fcis-31264	32	25	neural	neural	ADJ
fcis-31264	32	26	networks	network	NOUN
fcis-31264	32	27	(	(	PUNCT
fcis-31264	32	28	gnns	gnns	NOUN
fcis-31264	32	29	)	)	PUNCT
fcis-31264	32	30	.	.	PUNCT
fcis-31264	33	1	in	in	ADP
fcis-31264	33	2	131	131	NUM
fcis-31264	33	3	dual	dual	ADJ
fcis-31264	33	4	-	-	PUNCT
fcis-31264	33	5	gene	gene	NOUN
fcis-31264	33	6	perturbation	perturbation	NOUN
fcis-31264	33	7	experiments	experiment	NOUN
fcis-31264	33	8	,	,	PUNCT
fcis-31264	33	9	gears	gear	NOUN
fcis-31264	33	10	reduced	reduce	VERB
fcis-31264	33	11	the	the	DET
fcis-31264	33	12	mean	mean	ADJ
fcis-31264	33	13	squared	square	VERB
fcis-31264	33	14	error	error	NOUN
fcis-31264	33	15	(	(	PUNCT
fcis-31264	33	16	mse	mse	NOUN
fcis-31264	33	17	)	)	PUNCT
fcis-31264	33	18	by	by	ADP
fcis-31264	33	19	37	37	NUM
fcis-31264	33	20	%	%	NOUN
fcis-31264	33	21	and	and	CCONJ
fcis-31264	33	22	improved	improve	VERB
fcis-31264	33	23	prediction	prediction	NOUN
fcis-31264	33	24	accuracy	accuracy	NOUN
fcis-31264	33	25	for	for	ADP
fcis-31264	33	26	unseen	unseen	ADJ
fcis-31264	33	27	gene	gene	NOUN
fcis-31264	33	28	combinations	combination	NOUN
fcis-31264	33	29	by	by	ADP
fcis-31264	33	30	53	53	NUM
fcis-31264	33	31	%	%	NOUN
fcis-31264	33	32	.	.	PUNCT
fcis-31264	34	1	around	around	ADP
fcis-31264	34	2	the	the	DET
fcis-31264	34	3	same	same	ADJ
fcis-31264	34	4	time	time	NOUN
fcis-31264	34	5	,	,	PUNCT
fcis-31264	34	6	kamimoto	kamimoto	NOUN
fcis-31264	34	7	et	et	PROPN
fcis-31264	34	8	al	al	PROPN
fcis-31264	34	9	.	.	PROPN
fcis-31264	34	10	introduced	introduce	VERB
fcis-31264	34	11	the	the	DET
fcis-31264	34	12	celloracle	celloracle	NOUN
fcis-31264	34	13	model	model	NOUN
fcis-31264	34	14	,	,	PUNCT
fcis-31264	34	15	which	which	PRON
fcis-31264	34	16	combined	combine	VERB
fcis-31264	34	17	grns	grn	NOUN
fcis-31264	34	18	with	with	ADP
fcis-31264	34	19	causal	causal	ADJ
fcis-31264	34	20	inference	inference	NOUN
fcis-31264	34	21	to	to	PART
fcis-31264	34	22	infer	infer	VERB
fcis-31264	34	23	regulatory	regulatory	ADJ
fcis-31264	34	24	paths	path	NOUN
fcis-31264	34	25	by	by	ADP
fcis-31264	34	26	backpropagating	backpropagate	VERB
fcis-31264	34	27	perturbation	perturbation	NOUN
fcis-31264	34	28	response	response	NOUN
fcis-31264	34	29	gradients	gradient	NOUN
fcis-31264	34	30	,	,	PUNCT
fcis-31264	34	31	albeit	albeit	SCONJ
fcis-31264	34	32	restricted	restrict	VERB
fcis-31264	34	33	to	to	PART
fcis-31264	34	34	singlegene	singlegene	VERB
fcis-31264	34	35	analysis	analysis	NOUN
fcis-31264	34	36	[	[	X
fcis-31264	34	37	15	15	NUM
fcis-31264	34	38	]	]	PUNCT
fcis-31264	34	39	.	.	PUNCT
fcis-31264	35	1	its	its	PRON
fcis-31264	35	2	strengths	strength	NOUN
fcis-31264	35	3	included	include	VERB
fcis-31264	35	4	incorporating	incorporate	VERB
fcis-31264	35	5	pathway	pathway	NOUN
fcis-31264	35	6	databases	database	NOUN
fcis-31264	35	7	like	like	ADP
fcis-31264	35	8	reactome	reactome	VERB
fcis-31264	35	9	to	to	PART
fcis-31264	35	10	construct	construct	VERB
fcis-31264	35	11	attention	attention	NOUN
fcis-31264	35	12	masks	mask	NOUN
fcis-31264	35	13	,	,	PUNCT
fcis-31264	35	14	developing	develop	VERB
fcis-31264	35	15	a	a	DET
fcis-31264	35	16	self	self	NOUN
fcis-31264	35	17	-	-	PUNCT
fcis-31264	35	18	focusing	focus	VERB
fcis-31264	35	19	loss	loss	NOUN
fcis-31264	35	20	function	function	NOUN
fcis-31264	35	21	to	to	PART
fcis-31264	35	22	enhance	enhance	VERB
fcis-31264	35	23	weights	weight	NOUN
fcis-31264	35	24	for	for	ADP
fcis-31264	35	25	differentially	differentially	ADV
fcis-31264	35	26	expressed	express	VERB
fcis-31264	35	27	genes	gene	NOUN
fcis-31264	35	28	,	,	PUNCT
fcis-31264	35	29	and	and	CCONJ
fcis-31264	35	30	using	use	VERB
fcis-31264	35	31	a	a	DET
fcis-31264	35	32	direction	direction	NOUN
fcis-31264	35	33	-	-	PUNCT
fcis-31264	35	34	aware	aware	ADJ
fcis-31264	35	35	loss	loss	NOUN
fcis-31264	35	36	to	to	PART
fcis-31264	35	37	correct	correct	VERB
fcis-31264	35	38	expression	expression	NOUN
fcis-31264	35	39	trend	trend	NOUN
fcis-31264	35	40	biases	bias	NOUN
fcis-31264	35	41	.	.	PUNCT
fcis-31264	36	1	however	however	ADV
fcis-31264	36	2	,	,	PUNCT
fcis-31264	36	3	the	the	DET
fcis-31264	36	4	message	message	NOUN
fcis-31264	36	5	-	-	PUNCT
fcis-31264	36	6	passing	pass	VERB
fcis-31264	36	7	mechanism	mechanism	NOUN
fcis-31264	36	8	of	of	ADP
fcis-31264	36	9	gnns	gnns	ADJ
fcis-31264	36	10	proved	prove	VERB
fcis-31264	36	11	inefficient	inefficient	ADJ
fcis-31264	36	12	for	for	ADP
fcis-31264	36	13	hierarchical	hierarchical	ADJ
fcis-31264	36	14	pathway	pathway	NOUN
fcis-31264	36	15	structures	structure	NOUN
fcis-31264	36	16	and	and	CCONJ
fcis-31264	36	17	incapable	incapable	ADJ
fcis-31264	36	18	of	of	ADP
fcis-31264	36	19	modeling	model	VERB
fcis-31264	36	20	long	long	ADJ
fcis-31264	36	21	-	-	PUNCT
fcis-31264	36	22	range	range	NOUN
fcis-31264	36	23	gene	gene	NOUN
fcis-31264	36	24	interactions	interaction	NOUN
fcis-31264	36	25	.	.	PUNCT
fcis-31264	37	1	most	most	ADJ
fcis-31264	37	2	of	of	ADP
fcis-31264	37	3	these	these	DET
fcis-31264	37	4	methods	method	NOUN
fcis-31264	37	5	,	,	PUNCT
fcis-31264	37	6	including	include	VERB
fcis-31264	37	7	scgen	scgen	NOUN
fcis-31264	37	8	,	,	PUNCT
fcis-31264	37	9	perturbnet	perturbnet	NOUN
fcis-31264	37	10	[	[	X
fcis-31264	37	11	16	16	NUM
fcis-31264	37	12	,	,	PUNCT
fcis-31264	37	13	17	17	NUM
fcis-31264	37	14	]	]	PUNCT
fcis-31264	37	15	,	,	PUNCT
fcis-31264	37	16	and	and	CCONJ
fcis-31264	37	17	cpa	cpa	X
fcis-31264	37	18	[	[	X
fcis-31264	37	19	18	18	NUM
fcis-31264	37	20	]	]	PUNCT
fcis-31264	37	21	,	,	PUNCT
fcis-31264	37	22	primarily	primarily	ADV
fcis-31264	37	23	predict	predict	VERB
fcis-31264	37	24	transcriptional	transcriptional	ADJ
fcis-31264	37	25	responses	response	NOUN
fcis-31264	37	26	to	to	ADP
fcis-31264	37	27	chemical	chemical	ADJ
fcis-31264	37	28	treatments	treatment	NOUN
fcis-31264	37	29	rather	rather	ADV
fcis-31264	37	30	than	than	ADP
fcis-31264	37	31	genetic	genetic	ADJ
fcis-31264	37	32	perturbations	perturbation	NOUN
fcis-31264	37	33	.	.	PUNCT
fcis-31264	38	1	they	they	PRON
fcis-31264	38	2	often	often	ADV
fcis-31264	38	3	treat	treat	VERB
fcis-31264	38	4	genetic	genetic	ADJ
fcis-31264	38	5	perturbations	perturbation	NOUN
fcis-31264	38	6	as	as	ADP
fcis-31264	38	7	analogs	analog	NOUN
fcis-31264	38	8	of	of	ADP
fcis-31264	38	9	different	different	ADJ
fcis-31264	38	10	doses	dose	NOUN
fcis-31264	38	11	,	,	PUNCT
fcis-31264	38	12	which	which	PRON
fcis-31264	38	13	inadequately	inadequately	ADV
fcis-31264	38	14	captures	capture	VERB
fcis-31264	38	15	the	the	DET
fcis-31264	38	16	complex	complex	ADJ
fcis-31264	38	17	interactions	interaction	NOUN
fcis-31264	38	18	between	between	ADP
fcis-31264	38	19	different	different	ADJ
fcis-31264	38	20	genes	gene	NOUN
fcis-31264	38	21	and	and	CCONJ
fcis-31264	38	22	specific	specific	ADJ
fcis-31264	38	23	gene	gene	NOUN
fcis-31264	38	24	knockouts	knockout	NOUN
fcis-31264	38	25	,	,	PUNCT
fcis-31264	38	26	resulting	result	VERB
fcis-31264	38	27	in	in	ADP
fcis-31264	38	28	limited	limited	ADJ
fcis-31264	38	29	performance	performance	NOUN
fcis-31264	38	30	for	for	ADP
fcis-31264	38	31	genetic	genetic	ADJ
fcis-31264	38	32	perturbation	perturbation	NOUN
fcis-31264	38	33	prediction	prediction	NOUN
fcis-31264	38	34	specifically	specifically	ADV
fcis-31264	38	35	.	.	PUNCT
fcis-31264	39	1	the	the	DET
fcis-31264	39	2	introduction	introduction	NOUN
fcis-31264	39	3	of	of	ADP
fcis-31264	39	4	the	the	DET
fcis-31264	39	5	transformer	transformer	NOUN
fcis-31264	39	6	architecture	architecture	NOUN
fcis-31264	39	7	significantly	significantly	ADV
fcis-31264	39	8	enhanced	enhance	VERB
fcis-31264	39	9	the	the	DET
fcis-31264	39	10	modeling	modeling	NOUN
fcis-31264	39	11	capacity	capacity	NOUN
fcis-31264	39	12	for	for	ADP
fcis-31264	39	13	cross	cross	ADJ
fcis-31264	39	14	-	-	ADJ
fcis-31264	39	15	gene	gene	ADJ
fcis-31264	39	16	relationships	relationship	NOUN
fcis-31264	39	17	,	,	PUNCT
fcis-31264	39	18	as	as	SCONJ
fcis-31264	39	19	its	its	PRON
fcis-31264	39	20	self	self	NOUN
fcis-31264	39	21	-	-	PUNCT
fcis-31264	39	22	attention	attention	NOUN
fcis-31264	39	23	mechanism	mechanism	NOUN
fcis-31264	39	24	can	can	AUX
fcis-31264	39	25	capture	capture	VERB
fcis-31264	39	26	long	long	ADJ
fcis-31264	39	27	-	-	PUNCT
fcis-31264	39	28	range	range	NOUN
fcis-31264	39	29	dependencies	dependency	NOUN
fcis-31264	39	30	.	.	PUNCT
fcis-31264	40	1	in	in	ADP
fcis-31264	40	2	2024	2024	NUM
fcis-31264	40	3	,	,	PUNCT
fcis-31264	40	4	bai	bai	PROPN
fcis-31264	40	5	et	et	PROPN
fcis-31264	40	6	al	al	PROPN
fcis-31264	40	7	.	.	PROPN
fcis-31264	40	8	proposed	propose	VERB
fcis-31264	40	9	attentionpert	attentionpert	PROPN
fcis-31264	40	10	,	,	PUNCT
fcis-31264	40	11	integrating	integrate	VERB
fcis-31264	40	12	attention	attention	NOUN
fcis-31264	40	13	mechanisms	mechanism	NOUN
fcis-31264	40	14	and	and	CCONJ
fcis-31264	40	15	gnns	gnns	ADJ
fcis-31264	40	16	into	into	ADP
fcis-31264	40	17	perturbation	perturbation	NOUN
fcis-31264	40	18	analysis	analysis	NOUN
fcis-31264	40	19	,	,	PUNCT
fcis-31264	40	20	overcoming	overcome	VERB
fcis-31264	40	21	the	the	DET
fcis-31264	40	22	limitations	limitation	NOUN
fcis-31264	40	23	of	of	ADP
fcis-31264	40	24	traditional	traditional	ADJ
fcis-31264	40	25	linear	linear	ADJ
fcis-31264	40	26	models	model	NOUN
fcis-31264	40	27	or	or	CCONJ
fcis-31264	40	28	single	single	ADJ
fcis-31264	40	29	-	-	PUNCT
fcis-31264	40	30	scale	scale	NOUN
fcis-31264	40	31	approaches	approach	NOUN
fcis-31264	40	32	[	[	X
fcis-31264	40	33	19	19	NUM
fcis-31264	40	34	]	]	PUNCT
fcis-31264	40	35	.	.	PUNCT
fcis-31264	41	1	their	their	PRON
fcis-31264	41	2	proposed	propose	VERB
fcis-31264	41	3	multi	multi	ADJ
fcis-31264	41	4	-	-	ADJ
fcis-31264	41	5	scale	scale	ADJ
fcis-31264	41	6	modeling	modeling	NOUN
fcis-31264	41	7	framework	framework	NOUN
fcis-31264	41	8	is	be	AUX
fcis-31264	41	9	applicable	applicable	ADJ
fcis-31264	41	10	not	not	PART
fcis-31264	41	11	only	only	ADV
fcis-31264	41	12	to	to	ADP
fcis-31264	41	13	genetic	genetic	ADJ
fcis-31264	41	14	perturbation	perturbation	NOUN
fcis-31264	41	15	studies	study	NOUN
fcis-31264	41	16	but	but	CCONJ
fcis-31264	41	17	can	can	AUX
fcis-31264	41	18	also	also	ADV
fcis-31264	41	19	be	be	AUX
fcis-31264	41	20	transferred	transfer	VERB
fcis-31264	41	21	to	to	ADP
fcis-31264	41	22	scenarios	scenario	NOUN
fcis-31264	41	23	like	like	ADP
fcis-31264	41	24	drug	drug	NOUN
fcis-31264	41	25	combination	combination	NOUN
fcis-31264	41	26	prediction	prediction	NOUN
fcis-31264	41	27	and	and	CCONJ
fcis-31264	41	28	environmental	environmental	ADJ
fcis-31264	41	29	stimulus	stimulus	ADJ
fcis-31264	41	30	response	response	NOUN
fcis-31264	41	31	,	,	PUNCT
fcis-31264	41	32	providing	provide	VERB
fcis-31264	41	33	a	a	DET
fcis-31264	41	34	general	general	ADJ
fcis-31264	41	35	methodology	methodology	NOUN
fcis-31264	41	36	for	for	ADP
fcis-31264	41	37	systems	system	NOUN
fcis-31264	41	38	biology	biology	NOUN
fcis-31264	41	39	.	.	PUNCT
fcis-31264	42	1	that	that	DET
fcis-31264	42	2	same	same	ADJ
fcis-31264	42	3	year	year	NOUN
fcis-31264	42	4	,	,	PUNCT
fcis-31264	42	5	tan	tan	PROPN
fcis-31264	42	6	et	et	PROPN
fcis-31264	42	7	al	al	PROPN
fcis-31264	42	8	.	.	PROPN
fcis-31264	42	9	introduced	introduce	VERB
fcis-31264	42	10	the	the	DET
fcis-31264	42	11	dual	dual	ADJ
fcis-31264	42	12	-	-	PUNCT
fcis-31264	42	13	stream	stream	NOUN
fcis-31264	42	14	network	network	NOUN
fcis-31264	42	15	biodsnn	biodsnn	NOUN
fcis-31264	42	16	[	[	X
fcis-31264	42	17	20	20	NUM
fcis-31264	42	18	]	]	PUNCT
fcis-31264	42	19	.	.	PUNCT
fcis-31264	43	1	it	it	PRON
fcis-31264	43	2	employs	employ	VERB
fcis-31264	43	3	a	a	DET
fcis-31264	43	4	variational	variational	ADJ
fcis-31264	43	5	autoencoder	autoencoder	NOUN
fcis-31264	43	6	to	to	PART
fcis-31264	43	7	construct	construct	VERB
fcis-31264	43	8	a	a	DET
fcis-31264	43	9	data	data	NOUN
fcis-31264	43	10	-	-	PUNCT
fcis-31264	43	11	driven	drive	VERB
fcis-31264	43	12	stream	stream	NOUN
fcis-31264	43	13	for	for	ADP
fcis-31264	43	14	reconstructing	reconstruct	VERB
fcis-31264	43	15	global	global	ADJ
fcis-31264	43	16	gene	gene	NOUN
fcis-31264	43	17	expression	expression	NOUN
fcis-31264	43	18	features	feature	NOUN
fcis-31264	43	19	,	,	PUNCT
fcis-31264	43	20	while	while	SCONJ
fcis-31264	43	21	an	an	DET
fcis-31264	43	22	attention	attention	NOUN
fcis-31264	43	23	mechanism	mechanism	NOUN
fcis-31264	43	24	processes	process	NOUN
fcis-31264	43	25	reactome	reactome	VERB
fcis-31264	43	26	pathways	pathway	NOUN
fcis-31264	43	27	to	to	PART
fcis-31264	43	28	form	form	VERB
fcis-31264	43	29	a	a	DET
fcis-31264	43	30	stream	stream	NOUN
fcis-31264	43	31	governed	govern	VERB
fcis-31264	43	32	by	by	ADP
fcis-31264	43	33	biological	biological	ADJ
fcis-31264	43	34	prior	prior	ADJ
fcis-31264	43	35	knowledge	knowledge	NOUN
fcis-31264	43	36	.	.	PUNCT
fcis-31264	44	1	this	this	DET
fcis-31264	44	2	dual	dual	ADJ
fcis-31264	44	3	-	-	PUNCT
fcis-31264	44	4	stream	stream	NOUN
fcis-31264	44	5	design	design	NOUN
fcis-31264	44	6	of	of	ADP
fcis-31264	44	7	biodsnn	biodsnn	NOUN
fcis-31264	44	8	avoids	avoid	VERB
fcis-31264	44	9	the	the	DET
fcis-31264	44	10	limitations	limitation	NOUN
fcis-31264	44	11	of	of	ADP
fcis-31264	44	12	relying	rely	VERB
fcis-31264	44	13	solely	solely	ADV
fcis-31264	44	14	on	on	ADP
fcis-31264	44	15	data	datum	NOUN
fcis-31264	44	16	or	or	CCONJ
fcis-31264	44	17	knowledge	knowledge	NOUN
fcis-31264	44	18	,	,	PUNCT
fcis-31264	44	19	leveraging	leverage	VERB
fcis-31264	44	20	both	both	CCONJ
fcis-31264	44	21	statistical	statistical	ADJ
fcis-31264	44	22	patterns	pattern	NOUN
fcis-31264	44	23	and	and	CCONJ
fcis-31264	44	24	biological	biological	ADJ
fcis-31264	44	25	logic	logic	NOUN
fcis-31264	44	26	to	to	PART
fcis-31264	44	27	enhance	enhance	VERB
fcis-31264	44	28	model	model	NOUN
fcis-31264	44	29	robustness	robustness	NOUN
fcis-31264	44	30	.	.	PUNCT
fcis-31264	45	1	compared	compare	VERB
fcis-31264	45	2	to	to	ADP
fcis-31264	45	3	the	the	DET
fcis-31264	45	4	previous	previous	ADJ
fcis-31264	45	5	phase	phase	NOUN
fcis-31264	45	6	,	,	PUNCT
fcis-31264	45	7	this	this	DET
fcis-31264	45	8	stage	stage	NOUN
fcis-31264	45	9	saw	see	VERB
fcis-31264	45	10	substantial	substantial	ADJ
fcis-31264	45	11	improvements	improvement	NOUN
fcis-31264	45	12	across	across	ADP
fcis-31264	45	13	all	all	DET
fcis-31264	45	14	gene	gene	NOUN
fcis-31264	45	15	prediction	prediction	NOUN
fcis-31264	45	16	metrics	metric	NOUN
fcis-31264	45	17	.	.	PUNCT
fcis-31264	46	1	models	model	NOUN
fcis-31264	46	2	not	not	PART
fcis-31264	46	3	only	only	ADV
fcis-31264	46	4	utilized	utilize	VERB
fcis-31264	46	5	hybrid	hybrid	ADJ
fcis-31264	46	6	architectures	architecture	NOUN
fcis-31264	46	7	to	to	PART
fcis-31264	46	8	integrate	integrate	VERB
fcis-31264	46	9	data	data	NOUN
fcis-31264	46	10	-	-	PUNCT
fcis-31264	46	11	driven	drive	VERB
fcis-31264	46	12	and	and	CCONJ
fcis-31264	46	13	knowledge	knowledge	NOUN
fcis-31264	46	14	-	-	PUNCT
fcis-31264	46	15	driven	drive	VERB
fcis-31264	46	16	learning	learning	NOUN
fcis-31264	46	17	but	but	CCONJ
fcis-31264	46	18	also	also	ADV
fcis-31264	46	19	incorporated	incorporate	VERB
fcis-31264	46	20	diffusion	diffusion	NOUN
fcis-31264	46	21	models	model	NOUN
fcis-31264	46	22	to	to	PART
fcis-31264	46	23	improve	improve	VERB
fcis-31264	46	24	generation	generation	NOUN
fcis-31264	46	25	quality	quality	NOUN
fcis-31264	46	26	.	.	PUNCT
fcis-31264	47	1	furthermore	furthermore	ADV
fcis-31264	47	2	,	,	PUNCT
fcis-31264	47	3	uncertainty	uncertainty	NOUN
fcis-31264	47	4	quantification	quantification	NOUN
fcis-31264	47	5	metrics	metric	NOUN
fcis-31264	47	6	(	(	PUNCT
fcis-31264	47	7	e.g.	e.g.	ADV
fcis-31264	47	8	,	,	PUNCT
fcis-31264	47	9	bayesian	bayesian	NOUN
fcis-31264	47	10	confidence	confidence	NOUN
fcis-31264	47	11	in	in	ADP
fcis-31264	47	12	gears	gear	NOUN
fcis-31264	47	13	)	)	PUNCT
fcis-31264	47	14	were	be	AUX
fcis-31264	47	15	developed	develop	VERB
fcis-31264	47	16	to	to	PART
fcis-31264	47	17	enhance	enhance	VERB
fcis-31264	47	18	model	model	NOUN
fcis-31264	47	19	robustness	robustness	NOUN
fcis-31264	47	20	.	.	PUNCT
fcis-31264	48	1	however	however	ADV
fcis-31264	48	2	,	,	PUNCT
fcis-31264	48	3	the	the	DET
fcis-31264	48	4	quadratic	quadratic	ADJ
fcis-31264	48	5	computational	computational	ADJ
fcis-31264	48	6	complexity	complexity	NOUN
fcis-31264	48	7	of	of	ADP
fcis-31264	48	8	transformers	transformer	NOUN
fcis-31264	48	9	and	and	CCONJ
fcis-31264	48	10	their	their	PRON
fcis-31264	48	11	limitations	limitation	NOUN
fcis-31264	48	12	in	in	ADP
fcis-31264	48	13	processing	process	VERB
fcis-31264	48	14	long	long	ADJ
fcis-31264	48	15	sequences	sequence	NOUN
fcis-31264	48	16	restricted	restrict	VERB
fcis-31264	48	17	their	their	PRON
fcis-31264	48	18	application	application	NOUN
fcis-31264	48	19	at	at	ADP
fcis-31264	48	20	whole	whole	ADJ
fcis-31264	48	21	-	-	PUNCT
fcis-31264	48	22	genome	genome	NOUN
fcis-31264	48	23	scale	scale	NOUN
fcis-31264	48	24	[	[	X
fcis-31264	48	25	21	21	NUM
fcis-31264	48	26	]	]	PUNCT
fcis-31264	48	27	.	.	PUNCT
fcis-31264	49	1	the	the	DET
fcis-31264	49	2	introduction	introduction	NOUN
fcis-31264	49	3	of	of	ADP
fcis-31264	49	4	the	the	DET
fcis-31264	49	5	mamba	mamba	PROPN
fcis-31264	49	6	state	state	PROPN
fcis-31264	49	7	space	space	NOUN
fcis-31264	49	8	model	model	NOUN
fcis-31264	49	9	(	(	PUNCT
fcis-31264	49	10	ssm	ssm	NOUN
fcis-31264	49	11	)	)	PUNCT
fcis-31264	49	12	brought	bring	VERB
fcis-31264	49	13	innovation	innovation	NOUN
fcis-31264	49	14	to	to	ADP
fcis-31264	49	15	long	long	ADJ
fcis-31264	49	16	-	-	PUNCT
fcis-31264	49	17	sequence	sequence	NOUN
fcis-31264	49	18	processing	processing	NOUN
fcis-31264	49	19	.	.	PUNCT
fcis-31264	50	1	its	its	PRON
fcis-31264	50	2	selective	selective	ADJ
fcis-31264	50	3	memory	memory	NOUN
fcis-31264	50	4	mechanism	mechanism	NOUN
fcis-31264	50	5	,	,	PUNCT
fcis-31264	50	6	employing	employ	VERB
fcis-31264	50	7	an	an	DET
fcis-31264	50	8	input	input	NOUN
fcis-31264	50	9	-	-	PUNCT
fcis-31264	50	10	dependent	dependent	ADJ
fcis-31264	50	11	parameterization	parameterization	NOUN
fcis-31264	50	12	strategy	strategy	NOUN
fcis-31264	50	13	,	,	PUNCT
fcis-31264	50	14	achieves	achieve	VERB
fcis-31264	50	15	94	94	NUM
fcis-31264	50	16	%	%	NOUN
fcis-31264	50	17	sequence	sequence	NOUN
fcis-31264	50	18	information	information	NOUN
fcis-31264	50	19	capture	capture	NOUN
fcis-31264	50	20	while	while	SCONJ
fcis-31264	50	21	maintaining	maintain	VERB
fcis-31264	50	22	linear	linear	ADJ
fcis-31264	50	23	computational	computational	ADJ
fcis-31264	50	24	complexity	complexity	NOUN
fcis-31264	50	25	,	,	PUNCT
fcis-31264	50	26	enabling	enable	VERB
fcis-31264	50	27	the	the	DET
fcis-31264	50	28	extraction	extraction	NOUN
fcis-31264	50	29	of	of	ADP
fcis-31264	50	30	more	more	ADJ
fcis-31264	50	31	complex	complex	ADJ
fcis-31264	50	32	data	datum	NOUN
fcis-31264	50	33	features	feature	VERB
fcis-31264	50	34	[	[	X
fcis-31264	50	35	22	22	NUM
fcis-31264	50	36	]	]	PUNCT
fcis-31264	50	37	.	.	PUNCT
fcis-31264	51	1	in	in	ADP
fcis-31264	51	2	this	this	DET
fcis-31264	51	3	work	work	NOUN
fcis-31264	51	4	,	,	PUNCT
fcis-31264	51	5	we	we	PRON
fcis-31264	51	6	propose	propose	VERB
fcis-31264	51	7	a	a	DET
fcis-31264	51	8	novel	novel	ADJ
fcis-31264	51	9	mamba	mamba	NOUN
fcis-31264	51	10	-	-	PUNCT
fcis-31264	51	11	based	base	VERB
fcis-31264	51	12	dual	dual	ADJ
fcis-31264	51	13	-	-	PUNCT
fcis-31264	51	14	stream	stream	NOUN
fcis-31264	51	15	framework	framework	NOUN
fcis-31264	51	16	model	model	NOUN
fcis-31264	51	17	for	for	ADP
fcis-31264	51	18	predicting	predict	VERB
fcis-31264	51	19	multi	multi	ADJ
fcis-31264	51	20	-	-	ADJ
fcis-31264	51	21	gene	gene	ADJ
fcis-31264	51	22	perturbation	perturbation	NOUN
fcis-31264	51	23	responses	response	NOUN
fcis-31264	51	24	,	,	PUNCT
fcis-31264	51	25	aiming	aim	VERB
fcis-31264	51	26	to	to	PART
fcis-31264	51	27	demonstrate	demonstrate	VERB
fcis-31264	51	28	its	its	PRON
fcis-31264	51	29	unique	unique	ADJ
fcis-31264	51	30	advantages	advantage	NOUN
fcis-31264	51	31	for	for	ADP
fcis-31264	51	32	this	this	DET
fcis-31264	51	33	task	task	NOUN
fcis-31264	51	34	.	.	PUNCT
fcis-31264	52	1	2	2	X
fcis-31264	52	2	.	.	X
fcis-31264	52	3	model	model	NOUN
fcis-31264	52	4	algorithm	algorithm	NOUN
fcis-31264	52	5	the	the	DET
fcis-31264	52	6	dual	dual	ADJ
fcis-31264	52	7	-	-	PUNCT
fcis-31264	52	8	stream	stream	NOUN
fcis-31264	52	9	mamba	mamba	PROPN
fcis-31264	52	10	neural	neural	ADJ
fcis-31264	52	11	network	network	NOUN
fcis-31264	52	12	constructed	construct	VERB
fcis-31264	52	13	in	in	ADP
fcis-31264	52	14	this	this	DET
fcis-31264	52	15	paper	paper	NOUN
fcis-31264	52	16	can	can	AUX
fcis-31264	52	17	be	be	AUX
fcis-31264	52	18	briefly	briefly	ADV
fcis-31264	52	19	divided	divide	VERB
fcis-31264	52	20	into	into	ADP
fcis-31264	52	21	three	three	NUM
fcis-31264	52	22	layers	layer	NOUN
fcis-31264	52	23	,	,	PUNCT
fcis-31264	52	24	as	as	SCONJ
fcis-31264	52	25	shown	show	VERB
fcis-31264	52	26	in	in	ADP
fcis-31264	52	27	figure	figure	NOUN
fcis-31264	52	28	1	1	NUM
fcis-31264	52	29	,	,	PUNCT
fcis-31264	52	30	namely	namely	ADV
fcis-31264	52	31	the	the	DET
fcis-31264	52	32	input	input	NOUN
fcis-31264	52	33	layer	layer	NOUN
fcis-31264	52	34	,	,	PUNCT
fcis-31264	52	35	the	the	DET
fcis-31264	52	36	encoding	encoding	NOUN
fcis-31264	52	37	layer	layer	NOUN
fcis-31264	52	38	and	and	CCONJ
fcis-31264	52	39	the	the	DET
fcis-31264	52	40	output	output	NOUN
fcis-31264	52	41	layer	layer	NOUN
fcis-31264	52	42	.	.	PUNCT
fcis-31264	53	1	next	next	ADV
fcis-31264	53	2	,	,	PUNCT
fcis-31264	53	3	we	we	PRON
fcis-31264	53	4	will	will	AUX
fcis-31264	53	5	provide	provide	VERB
fcis-31264	53	6	a	a	DET
fcis-31264	53	7	detailed	detailed	ADJ
fcis-31264	53	8	introduction	introduction	NOUN
fcis-31264	53	9	to	to	ADP
fcis-31264	53	10	the	the	DET
fcis-31264	53	11	three	three	NUM
fcis-31264	53	12	layers	layer	NOUN
fcis-31264	53	13	of	of	ADP
fcis-31264	53	14	this	this	DET
fcis-31264	53	15	model	model	NOUN
fcis-31264	53	16	.	.	PUNCT
fcis-31264	54	1	figure	figure	NOUN
fcis-31264	54	2	1	1	NUM
fcis-31264	54	3	.	.	PUNCT
fcis-31264	55	1	diagram	diagram	NOUN
fcis-31264	55	2	of	of	ADP
fcis-31264	55	3	the	the	DET
fcis-31264	55	4	dual	dual	ADJ
fcis-31264	55	5	-	-	PUNCT
fcis-31264	55	6	stream	stream	NOUN
fcis-31264	55	7	mamba	mamba	PROPN
fcis-31264	55	8	neural	neural	ADJ
fcis-31264	55	9	network	network	NOUN
fcis-31264	55	10	model	model	NOUN
fcis-31264	55	11	(	(	PUNCT
fcis-31264	55	12	1	1	NUM
fcis-31264	55	13	)	)	PUNCT
fcis-31264	55	14	input	input	NOUN
fcis-31264	55	15	layer	layer	NOUN
fcis-31264	55	16	the	the	DET
fcis-31264	55	17	input	input	NOUN
fcis-31264	55	18	layer	layer	NOUN
fcis-31264	55	19	mainly	mainly	ADV
fcis-31264	55	20	consists	consist	VERB
fcis-31264	55	21	of	of	ADP
fcis-31264	55	22	three	three	NUM
fcis-31264	55	23	parts	part	NOUN
fcis-31264	55	24	of	of	ADP
fcis-31264	55	25	data	datum	NOUN
fcis-31264	55	26	,	,	PUNCT
fcis-31264	55	27	namely	namely	ADV
fcis-31264	55	28	gene	gene	NOUN
fcis-31264	55	29	expression	expression	NOUN
fcis-31264	55	30	data	datum	NOUN
fcis-31264	55	31	,	,	PUNCT
fcis-31264	55	32	gene	gene	NOUN
fcis-31264	55	33	relationship	relationship	NOUN
fcis-31264	55	34	map	map	NOUN
fcis-31264	55	35	data	datum	NOUN
fcis-31264	55	36	,	,	PUNCT
fcis-31264	55	37	and	and	CCONJ
fcis-31264	55	38	perturbation	perturbation	NOUN
fcis-31264	55	39	relationship	relationship	NOUN
fcis-31264	55	40	map	map	NOUN
fcis-31264	55	41	data	datum	NOUN
fcis-31264	55	42	.	.	PUNCT
fcis-31264	56	1	these	these	DET
fcis-31264	56	2	three	three	NUM
fcis-31264	56	3	parts	part	NOUN
fcis-31264	56	4	of	of	ADP
fcis-31264	56	5	data	datum	NOUN
fcis-31264	56	6	constitute	constitute	VERB
fcis-31264	56	7	the	the	DET
fcis-31264	56	8	input	input	NOUN
fcis-31264	56	9	of	of	ADP
fcis-31264	56	10	the	the	DET
fcis-31264	56	11	entire	entire	ADJ
fcis-31264	56	12	model	model	NOUN
fcis-31264	56	13	.	.	PUNCT
fcis-31264	57	1	the	the	DET
fcis-31264	57	2	data	datum	NOUN
fcis-31264	57	3	of	of	ADP
fcis-31264	57	4	gene	gene	NOUN
fcis-31264	57	5	expression	expression	NOUN
fcis-31264	57	6	levels	level	NOUN
fcis-31264	57	7	and	and	CCONJ
fcis-31264	57	8	gene	gene	NOUN
fcis-31264	57	9	perturbation	perturbation	NOUN
fcis-31264	57	10	were	be	AUX
fcis-31264	57	11	derived	derive	VERB
fcis-31264	57	12	from	from	ADP
fcis-31264	57	13	the	the	DET
fcis-31264	57	14	norman	norman	PROPN
fcis-31264	57	15	,	,	PUNCT
fcis-31264	57	16	rpe1	rpe1	NOUN
fcis-31264	57	17	,	,	PUNCT
fcis-31264	57	18	and	and	CCONJ
fcis-31264	57	19	k562	k562	PROPN
fcis-31264	57	20	datasets	dataset	NOUN
fcis-31264	57	21	.	.	PUNCT
fcis-31264	58	1	in	in	ADP
fcis-31264	58	2	order	order	NOUN
fcis-31264	58	3	to	to	PART
fcis-31264	58	4	predict	predict	VERB
fcis-31264	58	5	the	the	DET
fcis-31264	58	6	transcription	transcription	NOUN
fcis-31264	58	7	results	result	NOUN
fcis-31264	58	8	caused	cause	VERB
fcis-31264	58	9	by	by	ADP
fcis-31264	58	10	perturbations	perturbation	NOUN
fcis-31264	58	11	,	,	PUNCT
fcis-31264	58	12	this	this	DET
fcis-31264	58	13	paper	paper	NOUN
fcis-31264	58	14	selects	select	VERB
fcis-31264	58	15	these	these	DET
fcis-31264	58	16	three	three	NUM
fcis-31264	58	17	publicly	publicly	ADV
fcis-31264	58	18	available	available	ADJ
fcis-31264	58	19	perturbation	perturbation	NOUN
fcis-31264	58	20	sets	set	NOUN
fcis-31264	58	21	.	.	PUNCT
fcis-31264	59	1	these	these	DET
fcis-31264	59	2	three	three	NUM
fcis-31264	59	3	datasets	dataset	NOUN
fcis-31264	59	4	are	be	AUX
fcis-31264	59	5	composed	compose	VERB
fcis-31264	59	6	of	of	ADP
fcis-31264	59	7	a	a	DET
fcis-31264	59	8	single	single	ADJ
fcis-31264	59	9	gene	gene	NOUN
fcis-31264	59	10	or	or	CCONJ
fcis-31264	59	11	multiple	multiple	ADJ
fcis-31264	59	12	genes	gene	NOUN
fcis-31264	59	13	.	.	PUNCT
fcis-31264	60	1	for	for	ADP
fcis-31264	60	2	single	single	ADJ
fcis-31264	60	3	genes	gene	NOUN
fcis-31264	60	4	,	,	PUNCT
fcis-31264	60	5	this	this	DET
fcis-31264	60	6	paper	paper	NOUN
fcis-31264	60	7	uses	use	VERB
fcis-31264	60	8	data	datum	NOUN
fcis-31264	60	9	from	from	ADP
fcis-31264	60	10	two	two	NUM
fcis-31264	60	11	different	different	ADJ
fcis-31264	60	12	genetic	genetic	ADJ
fcis-31264	60	13	interference	interference	NOUN
fcis-31264	60	14	screenings	screening	NOUN
fcis-31264	60	15	,	,	PUNCT
fcis-31264	60	16	consisting	consist	VERB
fcis-31264	60	17	of	of	ADP
fcis-31264	60	18	1543	1543	NUM
fcis-31264	60	19	(	(	PUNCT
fcis-31264	60	20	rpe1	rpe1	NOUN
fcis-31264	60	21	cells	cell	NOUN
fcis-31264	60	22	)	)	PUNCT
fcis-31264	60	23	and	and	CCONJ
fcis-31264	60	24	1092	1092	NUM
fcis-31264	60	25	(	(	PUNCT
fcis-31264	60	26	k562	k562	PROPN
fcis-31264	60	27	cells	cell	NOUN
fcis-31264	60	28	)	)	PUNCT
fcis-31264	60	29	interferons	interferon	NOUN
fcis-31264	60	30	respectively	respectively	ADV
fcis-31264	60	31	,	,	PUNCT
fcis-31264	60	32	with	with	ADP
fcis-31264	60	33	each	each	DET
fcis-31264	60	34	interference	interference	NOUN
fcis-31264	60	35	measuring	measure	VERB
fcis-31264	60	36	more	more	ADJ
fcis-31264	60	37	than	than	ADP
fcis-31264	60	38	170,000	170,000	NUM
fcis-31264	60	39	cells	cell	NOUN
fcis-31264	60	40	[	[	X
fcis-31264	60	41	22	22	NUM
fcis-31264	60	42	]	]	PUNCT
fcis-31264	60	43	.	.	PUNCT
fcis-31264	61	1	furthermore	furthermore	ADV
fcis-31264	61	2	,	,	PUNCT
fcis-31264	61	3	the	the	DET
fcis-31264	61	4	norman	norman	NOUN
fcis-31264	61	5	dataset	dataset	VERB
fcis-31264	62	1	[	[	X
fcis-31264	62	2	23	23	NUM
fcis-31264	62	3	]	]	PUNCT
fcis-31264	62	4	contains	contain	VERB
fcis-31264	62	5	131	131	NUM
fcis-31264	62	6	two	two	NUM
fcis-31264	62	7	-	-	PUNCT
fcis-31264	62	8	gene	gene	NOUN
fcis-31264	62	9	perturbations	perturbation	NOUN
fcis-31264	62	10	,	,	PUNCT
fcis-31264	62	11	so	so	SCONJ
fcis-31264	62	12	we	we	PRON
fcis-31264	62	13	can	can	AUX
fcis-31264	62	14	evaluate	evaluate	VERB
fcis-31264	62	15	the	the	DET
fcis-31264	62	16	performance	performance	NOUN
fcis-31264	62	17	at	at	ADP
fcis-31264	62	18	different	different	ADJ
fcis-31264	62	19	perturbation	perturbation	NOUN
fcis-31264	62	20	levels	level	NOUN
fcis-31264	62	21	.	.	PUNCT
fcis-31264	63	1	the	the	DET
fcis-31264	63	2	summary	summary	NOUN
fcis-31264	63	3	of	of	ADP
fcis-31264	63	4	the	the	DET
fcis-31264	63	5	dataset	dataset	NOUN
fcis-31264	63	6	is	be	AUX
fcis-31264	63	7	shown	show	VERB
fcis-31264	63	8	in	in	ADP
fcis-31264	63	9	table	table	NOUN
fcis-31264	63	10	1	1	NUM
fcis-31264	63	11	.	.	PUNCT
fcis-31264	63	12	table	table	NOUN
fcis-31264	63	13	1	1	NUM
fcis-31264	63	14	.	.	PUNCT
fcis-31264	63	15	dataset	dataset	VERB
fcis-31264	63	16	information	information	NOUN
fcis-31264	63	17	dataset	dataset	NOUN
fcis-31264	63	18	cell	cell	NOUN
fcis-31264	63	19	quantity	quantity	NOUN
fcis-31264	63	20	gene	gene	NOUN
fcis-31264	63	21	number	number	NOUN
fcis-31264	63	22	number	number	NOUN
fcis-31264	63	23	of	of	ADP
fcis-31264	63	24	gene	gene	NOUN
fcis-31264	63	25	perturbations	perturbation	NOUN
fcis-31264	63	26	k562	k562	PROPN
fcis-31264	63	27	162,751	162,751	NUM
fcis-31264	63	28	5000	5000	NUM
fcis-31264	63	29	1092	1092	NUM
fcis-31264	63	30	rpe1	rpe1	NOUN
fcis-31264	63	31	162,733	162,733	NUM
fcis-31264	63	32	5000	5000	NUM
fcis-31264	63	33	1543	1543	NUM
fcis-31264	63	34	norman	norman	NOUN
fcis-31264	63	35	91,205	91,205	NUM
fcis-31264	63	36	5045	5045	NUM
fcis-31264	63	37	131	131	NUM
fcis-31264	63	38	the	the	DET
fcis-31264	63	39	gene	gene	NOUN
fcis-31264	63	40	relationship	relationship	NOUN
fcis-31264	63	41	map	map	NOUN
fcis-31264	63	42	data	datum	NOUN
fcis-31264	63	43	comes	come	VERB
fcis-31264	63	44	from	from	ADP
fcis-31264	63	45	the	the	DET
fcis-31264	63	46	processing	processing	NOUN
fcis-31264	63	47	results	result	NOUN
fcis-31264	63	48	of	of	ADP
fcis-31264	63	49	go	go	VERB
fcis-31264	63	50	data	datum	NOUN
fcis-31264	63	51	in	in	ADP
fcis-31264	63	52	gears	gear	NOUN
fcis-31264	63	53	.	.	PUNCT
fcis-31264	64	1	because	because	SCONJ
fcis-31264	64	2	go	go	VERB
fcis-31264	64	3	data	datum	NOUN
fcis-31264	64	4	is	be	AUX
fcis-31264	64	5	used	use	VERB
fcis-31264	64	6	to	to	PART
fcis-31264	64	7	measure	measure	VERB
fcis-31264	64	8	the	the	DET
fcis-31264	64	9	functional	functional	ADJ
fcis-31264	64	10	similarity	similarity	NOUN
fcis-31264	64	11	between	between	ADP
fcis-31264	64	12	genes	gene	NOUN
fcis-31264	64	13	,	,	PUNCT
fcis-31264	64	14	this	this	DET
fcis-31264	64	15	paper	paper	NOUN
fcis-31264	64	16	is	be	AUX
fcis-31264	64	17	used	use	VERB
fcis-31264	64	18	to	to	PART
fcis-31264	64	19	measure	measure	VERB
fcis-31264	64	20	the	the	DET
fcis-31264	64	21	functional	functional	ADJ
fcis-31264	64	22	relationship	relationship	NOUN
fcis-31264	64	23	between	between	ADP
fcis-31264	64	24	genes	gene	NOUN
fcis-31264	64	25	and	and	CCONJ
fcis-31264	64	26	explore	explore	VERB
fcis-31264	64	27	more	more	ADJ
fcis-31264	64	28	perturbation	perturbation	NOUN
fcis-31264	64	29	information	information	NOUN
fcis-31264	64	30	.	.	PUNCT
fcis-31264	65	1	for	for	ADP
fcis-31264	65	2	example	example	NOUN
fcis-31264	65	3	,	,	PUNCT
fcis-31264	65	4	nu	nu	PROPN
fcis-31264	65	5	is	be	AUX
fcis-31264	65	6	the	the	DET
fcis-31264	65	7	go	go	ADJ
fcis-31264	65	8	pathway	pathway	NOUN
fcis-31264	65	9	set	set	NOUN
fcis-31264	65	10	of	of	ADP
fcis-31264	65	11	the	the	DET
fcis-31264	65	12	gene	gene	NOUN
fcis-31264	65	13	u	u	NOUN
fcis-31264	65	14	,	,	PUNCT
fcis-31264	65	15	and	and	CCONJ
fcis-31264	65	16	the	the	DET
fcis-31264	65	17	jaccard	jaccard	ADJ
fcis-31264	65	18	index	index	NOUN
fcis-31264	65	19	between	between	ADP
fcis-31264	65	20	a	a	DET
fcis-31264	65	21	pair	pair	NOUN
fcis-31264	65	22	of	of	ADP
fcis-31264	65	23	genes	gene	NOUN
fcis-31264	65	24	u	u	NOUN
fcis-31264	65	25	and	and	CCONJ
fcis-31264	65	26	v	v	NOUN
fcis-31264	65	27	is	be	AUX
fcis-31264	65	28	calculated	calculate	VERB
fcis-31264	65	29	as	as	ADP
fcis-31264	65	30	:	:	PUNCT
fcis-31264	65	31	(	(	PUNCT
fcis-31264	65	32	,	,	PUNCT
fcis-31264	65	33	)	)	PUNCT
fcis-31264	65	34	u	u	NOUN
fcis-31264	65	35	v	v	ADP
fcis-31264	65	36	u	u	NOUN
fcis-31264	65	37	v	v	ADP
fcis-31264	65	38	u	u	NOUN
fcis-31264	65	39	v	v	ADP
fcis-31264	65	40	n	n	CCONJ
fcis-31264	65	41	n	n	PRON
fcis-31264	65	42	j	j	PROPN
fcis-31264	65	43	n	n	CCONJ
fcis-31264	65	44	n	n	PROPN
fcis-31264	65	45			PUNCT
fcis-31264	65	46			PROPN
fcis-31264	65	47			NOUN
fcis-31264	65	48	(	(	PUNCT
fcis-31264	65	49	1	1	NUM
fcis-31264	65	50	)	)	PUNCT
fcis-31264	65	51	the	the	DET
fcis-31264	65	52	jaccard	jaccard	ADJ
fcis-31264	65	53	index	index	NOUN
fcis-31264	65	54	is	be	AUX
fcis-31264	65	55	used	use	VERB
fcis-31264	65	56	to	to	PART
fcis-31264	65	57	measure	measure	VERB
fcis-31264	65	58	the	the	DET
fcis-31264	65	59	proportion	proportion	NOUN
fcis-31264	65	60	of	of	ADP
fcis-31264	65	61	shared	share	VERB
fcis-31264	65	62	paths	path	NOUN
fcis-31264	65	63	among	among	ADP
fcis-31264	65	64	them	they	PRON
fcis-31264	65	65	.	.	PUNCT
fcis-31264	66	1	for	for	ADP
fcis-31264	66	2	each	each	DET
fcis-31264	66	3	gene	gene	NOUN
fcis-31264	66	4	,	,	PUNCT
fcis-31264	66	5	this	this	DET
fcis-31264	66	6	paper	paper	NOUN
fcis-31264	66	7	selects	select	VERB
fcis-31264	66	8	the	the	DET
fcis-31264	66	9	gene	gene	NOUN
fcis-31264	66	10	with	with	ADP
fcis-31264	66	11	the	the	DET
fcis-31264	66	12	highest	high	ADJ
fcis-31264	66	13	jaccard	jaccard	ADJ
fcis-31264	66	14	index	index	NOUN
fcis-31264	66	15	to	to	PART
fcis-31264	66	16	construct	construct	VERB
fcis-31264	66	17	the	the	DET
fcis-31264	66	18	102	102	NUM
fcis-31264	66	19	perturbation	perturbation	NOUN
fcis-31264	66	20	similarity	similarity	NOUN
fcis-31264	66	21	map	map	NOUN
fcis-31264	66	22	.	.	PUNCT
fcis-31264	67	1	then	then	ADV
fcis-31264	67	2	,	,	PUNCT
fcis-31264	67	3	all	all	DET
fcis-31264	67	4	the	the	DET
fcis-31264	67	5	initialized	initialize	VERB
fcis-31264	67	6	possible	possible	ADJ
fcis-31264	67	7	gene	gene	NOUN
fcis-31264	67	8	perturbation	perturbation	NOUN
fcis-31264	67	9	embeddings	embedding	NOUN
fcis-31264	67	10	will	will	AUX
fcis-31264	67	11	be	be	AUX
fcis-31264	67	12	fed	feed	VERB
fcis-31264	67	13	into	into	ADP
fcis-31264	67	14	the	the	DET
fcis-31264	67	15	graph	graph	NOUN
fcis-31264	67	16	convolutional	convolutional	ADJ
fcis-31264	67	17	network	network	NOUN
fcis-31264	67	18	for	for	ADP
fcis-31264	67	19	expansion	expansion	NOUN
fcis-31264	67	20	.	.	PUNCT
fcis-31264	68	1	in	in	ADP
fcis-31264	68	2	this	this	DET
fcis-31264	68	3	way	way	NOUN
fcis-31264	68	4	,	,	PUNCT
fcis-31264	68	5	when	when	SCONJ
fcis-31264	68	6	each	each	DET
fcis-31264	68	7	disturbance	disturbance	NOUN
fcis-31264	68	8	is	be	AUX
fcis-31264	68	9	embedded	embed	VERB
fcis-31264	68	10	,	,	PUNCT
fcis-31264	68	11	the	the	DET
fcis-31264	68	12	information	information	NOUN
fcis-31264	68	13	of	of	ADP
fcis-31264	68	14	adjacent	adjacent	ADJ
fcis-31264	68	15	disturbances	disturbance	NOUN
fcis-31264	68	16	can	can	AUX
fcis-31264	68	17	be	be	AUX
fcis-31264	68	18	integrated	integrate	VERB
fcis-31264	68	19	.	.	PUNCT
fcis-31264	69	1	(	(	PUNCT
fcis-31264	69	2	2	2	X
fcis-31264	69	3	)	)	PUNCT
fcis-31264	69	4	coding	code	VERB
fcis-31264	69	5	layer	layer	NOUN
fcis-31264	69	6	the	the	DET
fcis-31264	69	7	encoding	encoding	NOUN
fcis-31264	69	8	layer	layer	NOUN
fcis-31264	69	9	consists	consist	VERB
fcis-31264	69	10	of	of	ADP
fcis-31264	69	11	two	two	NUM
fcis-31264	69	12	data	datum	NOUN
fcis-31264	69	13	streams	stream	NOUN
fcis-31264	69	14	,	,	PUNCT
fcis-31264	69	15	namely	namely	ADV
fcis-31264	69	16	:	:	PUNCT
fcis-31264	69	17	the	the	DET
fcis-31264	69	18	data	data	NOUN
fcis-31264	69	19	stream	stream	NOUN
fcis-31264	69	20	of	of	ADP
fcis-31264	69	21	gene	gene	NOUN
fcis-31264	69	22	expression	expression	NOUN
fcis-31264	69	23	level	level	NOUN
fcis-31264	69	24	data	datum	NOUN
fcis-31264	69	25	passing	pass	VERB
fcis-31264	69	26	through	through	ADP
fcis-31264	69	27	the	the	DET
fcis-31264	69	28	graph	graph	NOUN
fcis-31264	69	29	convolutional	convolutional	ADJ
fcis-31264	69	30	layer	layer	NOUN
fcis-31264	69	31	and	and	CCONJ
fcis-31264	69	32	the	the	DET
fcis-31264	69	33	variational	variational	ADJ
fcis-31264	69	34	autoencoder	autoencoder	NOUN
fcis-31264	69	35	,	,	PUNCT
fcis-31264	69	36	and	and	CCONJ
fcis-31264	69	37	the	the	DET
fcis-31264	69	38	data	data	NOUN
fcis-31264	69	39	stream	stream	NOUN
fcis-31264	69	40	of	of	ADP
fcis-31264	69	41	gene	gene	NOUN
fcis-31264	69	42	relationship	relationship	NOUN
fcis-31264	69	43	graph	graph	NOUN
fcis-31264	69	44	data	datum	NOUN
fcis-31264	69	45	and	and	CCONJ
fcis-31264	69	46	perturbation	perturbation	NOUN
fcis-31264	69	47	relationship	relationship	NOUN
fcis-31264	69	48	graph	graph	NOUN
fcis-31264	69	49	data	datum	NOUN
fcis-31264	69	50	passing	pass	VERB
fcis-31264	69	51	through	through	ADP
fcis-31264	69	52	the	the	DET
fcis-31264	69	53	graph	graph	NOUN
fcis-31264	69	54	convolutional	convolutional	ADJ
fcis-31264	69	55	layer	layer	NOUN
fcis-31264	69	56	and	and	CCONJ
fcis-31264	69	57	the	the	DET
fcis-31264	69	58	mamba	mamba	NOUN
fcis-31264	69	59	encoding	encoding	NOUN
fcis-31264	69	60	layer	layer	NOUN
fcis-31264	69	61	.	.	PUNCT
fcis-31264	70	1	next	next	ADV
fcis-31264	70	2	,	,	PUNCT
fcis-31264	70	3	this	this	DET
fcis-31264	70	4	article	article	NOUN
fcis-31264	70	5	will	will	AUX
fcis-31264	70	6	elaborate	elaborate	VERB
fcis-31264	70	7	in	in	ADP
fcis-31264	70	8	detail	detail	NOUN
fcis-31264	70	9	on	on	ADP
fcis-31264	70	10	the	the	DET
fcis-31264	70	11	composition	composition	NOUN
fcis-31264	70	12	of	of	ADP
fcis-31264	70	13	each	each	DET
fcis-31264	70	14	data	datum	NOUN
fcis-31264	70	15	stream	stream	NOUN
fcis-31264	70	16	.	.	PUNCT
fcis-31264	71	1	both	both	DET
fcis-31264	71	2	data	datum	NOUN
fcis-31264	71	3	streams	stream	VERB
fcis-31264	71	4	selected	select	VERB
fcis-31264	71	5	graph	graph	NOUN
fcis-31264	71	6	convolutional	convolutional	ADJ
fcis-31264	71	7	networks	network	NOUN
fcis-31264	71	8	as	as	ADP
fcis-31264	71	9	the	the	DET
fcis-31264	71	10	data	datum	NOUN
fcis-31264	71	11	embedding	embed	VERB
fcis-31264	71	12	layer	layer	NOUN
fcis-31264	71	13	.	.	PUNCT
fcis-31264	72	1	when	when	SCONJ
fcis-31264	72	2	capturing	capture	VERB
fcis-31264	72	3	the	the	DET
fcis-31264	72	4	characteristics	characteristic	NOUN
fcis-31264	72	5	of	of	ADP
fcis-31264	72	6	gene	gene	NOUN
fcis-31264	72	7	expression	expression	NOUN
fcis-31264	72	8	level	level	NOUN
fcis-31264	72	9	data	datum	NOUN
fcis-31264	72	10	,	,	PUNCT
fcis-31264	72	11	variational	variational	ADJ
fcis-31264	72	12	encoders	encoder	NOUN
fcis-31264	72	13	were	be	AUX
fcis-31264	72	14	used	use	VERB
fcis-31264	72	15	.	.	PUNCT
fcis-31264	73	1	variational	variational	ADJ
fcis-31264	73	2	autoencoders	autoencoder	NOUN
fcis-31264	73	3	have	have	VERB
fcis-31264	73	4	multiple	multiple	ADJ
fcis-31264	73	5	advantages	advantage	NOUN
fcis-31264	73	6	as	as	ADP
fcis-31264	73	7	generative	generative	ADJ
fcis-31264	73	8	networks	network	NOUN
fcis-31264	73	9	:	:	PUNCT
fcis-31264	73	10	they	they	PRON
fcis-31264	73	11	can	can	AUX
fcis-31264	73	12	learn	learn	VERB
fcis-31264	73	13	the	the	DET
fcis-31264	73	14	latent	latent	ADJ
fcis-31264	73	15	distribution	distribution	NOUN
fcis-31264	73	16	of	of	ADP
fcis-31264	73	17	data	datum	NOUN
fcis-31264	73	18	and	and	CCONJ
fcis-31264	73	19	generate	generate	VERB
fcis-31264	73	20	diverse	diverse	ADJ
fcis-31264	73	21	and	and	CCONJ
fcis-31264	73	22	continuously	continuously	ADV
fcis-31264	73	23	changing	change	VERB
fcis-31264	73	24	new	new	ADJ
fcis-31264	73	25	samples	sample	NOUN
fcis-31264	73	26	;	;	PUNCT
fcis-31264	73	27	high	high	ADJ
fcis-31264	73	28	-	-	PUNCT
fcis-31264	73	29	dimensional	dimensional	ADJ
fcis-31264	73	30	data	datum	NOUN
fcis-31264	73	31	can	can	AUX
fcis-31264	73	32	be	be	AUX
fcis-31264	73	33	compressed	compress	VERB
fcis-31264	73	34	into	into	ADP
fcis-31264	73	35	a	a	DET
fcis-31264	73	36	low	low	ADJ
fcis-31264	73	37	-	-	PUNCT
fcis-31264	73	38	dimensional	dimensional	ADJ
fcis-31264	73	39	latent	latent	NOUN
fcis-31264	73	40	space	space	NOUN
fcis-31264	73	41	to	to	PART
fcis-31264	73	42	extract	extract	VERB
fcis-31264	73	43	semantic	semantic	ADJ
fcis-31264	73	44	features	feature	NOUN
fcis-31264	73	45	.	.	PUNCT
fcis-31264	74	1	the	the	DET
fcis-31264	74	2	structure	structure	NOUN
fcis-31264	74	3	is	be	AUX
fcis-31264	74	4	flexible	flexible	ADJ
fcis-31264	74	5	and	and	CCONJ
fcis-31264	74	6	easy	easy	ADJ
fcis-31264	74	7	to	to	PART
fcis-31264	74	8	combine	combine	VERB
fcis-31264	74	9	with	with	ADP
fcis-31264	74	10	other	other	ADJ
fcis-31264	74	11	technologies	technology	NOUN
fcis-31264	74	12	;	;	PUNCT
fcis-31264	74	13	as	as	ADP
fcis-31264	74	14	a	a	DET
fcis-31264	74	15	probabilistic	probabilistic	ADJ
fcis-31264	74	16	model	model	NOUN
fcis-31264	74	17	,	,	PUNCT
fcis-31264	74	18	it	it	PRON
fcis-31264	74	19	can	can	AUX
fcis-31264	74	20	not	not	PART
fcis-31264	74	21	only	only	ADV
fcis-31264	74	22	explain	explain	VERB
fcis-31264	74	23	the	the	DET
fcis-31264	74	24	data	data	NOUN
fcis-31264	74	25	generation	generation	NOUN
fcis-31264	74	26	process	process	NOUN
fcis-31264	74	27	but	but	CCONJ
fcis-31264	74	28	also	also	ADV
fcis-31264	74	29	estimate	estimate	VERB
fcis-31264	74	30	the	the	DET
fcis-31264	74	31	uncertainty	uncertainty	NOUN
fcis-31264	74	32	of	of	ADP
fcis-31264	74	33	the	the	DET
fcis-31264	74	34	generation	generation	NOUN
fcis-31264	74	35	results	result	NOUN
fcis-31264	74	36	.	.	PUNCT
fcis-31264	75	1	therefore	therefore	ADV
fcis-31264	75	2	,	,	PUNCT
fcis-31264	75	3	in	in	ADP
fcis-31264	75	4	this	this	DET
fcis-31264	75	5	paper	paper	NOUN
fcis-31264	75	6	,	,	PUNCT
fcis-31264	75	7	variational	variational	ADJ
fcis-31264	75	8	encoders	encoder	NOUN
fcis-31264	75	9	are	be	AUX
fcis-31264	75	10	adopted	adopt	VERB
fcis-31264	75	11	to	to	PART
fcis-31264	75	12	capture	capture	VERB
fcis-31264	75	13	the	the	DET
fcis-31264	75	14	uncertainty	uncertainty	NOUN
fcis-31264	75	15	and	and	CCONJ
fcis-31264	75	16	variability	variability	NOUN
fcis-31264	75	17	of	of	ADP
fcis-31264	75	18	gene	gene	NOUN
fcis-31264	75	19	expression	expression	NOUN
fcis-31264	75	20	data	datum	NOUN
fcis-31264	75	21	.	.	PUNCT
fcis-31264	76	1	variational	variational	ADJ
fcis-31264	76	2	autoencoders	autoencoder	NOUN
fcis-31264	76	3	can	can	AUX
fcis-31264	76	4	measure	measure	VERB
fcis-31264	76	5	the	the	DET
fcis-31264	76	6	deviation	deviation	NOUN
fcis-31264	76	7	between	between	ADP
fcis-31264	76	8	the	the	DET
fcis-31264	76	9	learning	learn	VERB
fcis-31264	76	10	distribution	distribution	NOUN
fcis-31264	76	11	of	of	ADP
fcis-31264	76	12	potential	potential	ADJ
fcis-31264	76	13	variables	variable	NOUN
fcis-31264	76	14	(	(	PUNCT
fcis-31264	76	15	given	give	VERB
fcis-31264	76	16	the	the	DET
fcis-31264	76	17	original	original	ADJ
fcis-31264	76	18	gene	gene	NOUN
fcis-31264	76	19	expression	expression	NOUN
fcis-31264	76	20	data	datum	NOUN
fcis-31264	76	21	)	)	PUNCT
fcis-31264	76	22	and	and	CCONJ
fcis-31264	76	23	the	the	DET
fcis-31264	76	24	prior	prior	ADJ
fcis-31264	76	25	distribution	distribution	NOUN
fcis-31264	76	26	(	(	PUNCT
fcis-31264	76	27	usually	usually	ADV
fcis-31264	76	28	gaussian	gaussian	VERB
fcis-31264	76	29	prior	prior	ADJ
fcis-31264	76	30	distribution	distribution	NOUN
fcis-31264	76	31	)	)	PUNCT
fcis-31264	76	32	.	.	PUNCT
fcis-31264	77	1	specifically	specifically	ADV
fcis-31264	77	2	,	,	PUNCT
fcis-31264	77	3	the	the	DET
fcis-31264	77	4	variational	variational	ADJ
fcis-31264	77	5	autoencoder	autoencoder	NOUN
fcis-31264	77	6	maximizes	maximize	VERB
fcis-31264	77	7	the	the	DET
fcis-31264	77	8	lower	low	ADJ
fcis-31264	77	9	bound	bind	VERB
fcis-31264	77	10	of	of	ADP
fcis-31264	77	11	evidence	evidence	NOUN
fcis-31264	77	12	,	,	PUNCT
fcis-31264	77	13	known	know	VERB
fcis-31264	77	14	as	as	ADP
fcis-31264	77	15	the	the	DET
fcis-31264	77	16	evidence	evidence	NOUN
fcis-31264	77	17	lower	lower	ADV
fcis-31264	77	18	bound	bind	VERB
fcis-31264	77	19	(	(	PUNCT
fcis-31264	77	20	elbo	elbo	PROPN
fcis-31264	77	21	)	)	PUNCT
fcis-31264	77	22	,	,	PUNCT
fcis-31264	77	23	because	because	SCONJ
fcis-31264	77	24	the	the	DET
fcis-31264	77	25	marginal	marginal	ADJ
fcis-31264	77	26	likelihood	likelihood	NOUN
fcis-31264	77	27	is	be	AUX
fcis-31264	77	28	difficult	difficult	ADJ
fcis-31264	77	29	to	to	PART
fcis-31264	77	30	handle	handle	VERB
fcis-31264	77	31	.	.	PUNCT
fcis-31264	78	1	the	the	DET
fcis-31264	78	2	variational	variational	ADV
fcis-31264	78	3	lower	lower	ADV
fcis-31264	78	4	bound	bind	VERB
fcis-31264	78	5	of	of	ADP
fcis-31264	78	6	the	the	DET
fcis-31264	78	7	marginal	marginal	ADJ
fcis-31264	78	8	likelihood	likelihood	NOUN
fcis-31264	78	9	of	of	ADP
fcis-31264	78	10	the	the	DET
fcis-31264	78	11	input	input	NOUN
fcis-31264	78	12	data	data	NOUN
fcis-31264	78	13	is	be	AUX
fcis-31264	78	14	the	the	DET
fcis-31264	78	15	objective	objective	ADJ
fcis-31264	78	16	function	function	NOUN
fcis-31264	78	17	of	of	ADP
fcis-31264	78	18	the	the	DET
fcis-31264	78	19	variational	variational	ADJ
fcis-31264	78	20	autoencoder	autoencoder	NOUN
fcis-31264	78	21	.	.	PUNCT
fcis-31264	79	1	the	the	DET
fcis-31264	79	2	marginal	marginal	ADJ
fcis-31264	79	3	likelihood	likelihood	NOUN
fcis-31264	79	4	is	be	AUX
fcis-31264	79	5	obtained	obtain	VERB
fcis-31264	79	6	by	by	ADP
fcis-31264	79	7	summing	sum	VERB
fcis-31264	79	8	the	the	DET
fcis-31264	79	9	marginal	marginal	ADJ
fcis-31264	79	10	likelihood	likelihood	NOUN
fcis-31264	79	11	of	of	ADP
fcis-31264	79	12	different	different	ADJ
fcis-31264	79	13	data	datum	NOUN
fcis-31264	79	14	points	point	NOUN
fcis-31264	79	15	,	,	PUNCT
fcis-31264	79	16	as	as	SCONJ
fcis-31264	79	17	shown	show	VERB
fcis-31264	79	18	below	below	ADP
fcis-31264	79	19	:	:	PUNCT
fcis-31264	79	20			NOUN
fcis-31264	79	21			PUNCT
fcis-31264	79	22			NOUN
fcis-31264	80	1			NOUN
fcis-31264	80	2			PROPN
fcis-31264	80	3			PROPN
fcis-31264	80	4			PROPN
fcis-31264	81	1			NOUN
fcis-31264	81	2	1	1	VERB
fcis-31264	81	3	1	1	NUM
fcis-31264	81	4	log	log	NOUN
fcis-31264	81	5	,	,	PUNCT
fcis-31264	81	6	,	,	PUNCT
fcis-31264	81	7	log	log	VERB
fcis-31264	81	8	n	n	CCONJ
fcis-31264	81	9	n	n	NOUN
fcis-31264	82	1	i	i	PRON
fcis-31264	82	2	i	i	PRON
fcis-31264	82	3	p	p	X
fcis-31264	82	4	x	x	X
fcis-31264	82	5	x	x	X
fcis-31264	82	6	p	p	X
fcis-31264	82	7	x	x	NOUN
fcis-31264	82	8			PROPN
fcis-31264	82	9			PUNCT
fcis-31264	82	10	(	(	PUNCT
fcis-31264	82	11	2	2	NUM
fcis-31264	82	12	)	)	PUNCT
fcis-31264	82	13	in	in	ADP
fcis-31264	82	14	this	this	DET
fcis-31264	82	15	paper	paper	NOUN
fcis-31264	82	16	,	,	PUNCT
fcis-31264	82	17	the	the	DET
fcis-31264	82	18	mamba	mamba	NOUN
fcis-31264	82	19	encoder	encoder	NOUN
fcis-31264	82	20	is	be	AUX
fcis-31264	82	21	adopted	adopt	VERB
fcis-31264	82	22	to	to	PART
fcis-31264	82	23	capture	capture	VERB
fcis-31264	82	24	the	the	DET
fcis-31264	82	25	associations	association	NOUN
fcis-31264	82	26	between	between	ADP
fcis-31264	82	27	the	the	DET
fcis-31264	82	28	gene	gene	NOUN
fcis-31264	82	29	relationship	relationship	NOUN
fcis-31264	82	30	map	map	NOUN
fcis-31264	82	31	data	datum	NOUN
fcis-31264	82	32	and	and	CCONJ
fcis-31264	82	33	the	the	DET
fcis-31264	82	34	perturbation	perturbation	NOUN
fcis-31264	82	35	map	map	NOUN
fcis-31264	82	36	data	datum	NOUN
fcis-31264	82	37	.	.	PUNCT
fcis-31264	83	1	as	as	ADP
fcis-31264	83	2	a	a	DET
fcis-31264	83	3	new	new	ADJ
fcis-31264	83	4	and	and	CCONJ
fcis-31264	83	5	emerging	emerge	VERB
fcis-31264	83	6	architecture	architecture	NOUN
fcis-31264	83	7	,	,	PUNCT
fcis-31264	83	8	mamba	mamba	PROPN
fcis-31264	83	9	focuses	focus	VERB
fcis-31264	83	10	more	more	ADJ
fcis-31264	83	11	on	on	ADP
fcis-31264	83	12	the	the	DET
fcis-31264	83	13	correlations	correlation	NOUN
fcis-31264	83	14	within	within	ADP
fcis-31264	83	15	the	the	DET
fcis-31264	83	16	data	datum	NOUN
fcis-31264	83	17	,	,	PUNCT
fcis-31264	83	18	enabling	enable	VERB
fcis-31264	83	19	the	the	DET
fcis-31264	83	20	model	model	NOUN
fcis-31264	83	21	to	to	PART
fcis-31264	83	22	focus	focus	VERB
fcis-31264	83	23	more	more	ADV
fcis-31264	83	24	on	on	ADP
fcis-31264	83	25	key	key	ADJ
fcis-31264	83	26	information	information	NOUN
fcis-31264	83	27	.	.	PUNCT
fcis-31264	84	1	meanwhile	meanwhile	ADV
fcis-31264	84	2	,	,	PUNCT
fcis-31264	84	3	compared	compare	VERB
fcis-31264	84	4	with	with	ADP
fcis-31264	84	5	the	the	DET
fcis-31264	84	6	attention	attention	NOUN
fcis-31264	84	7	mechanism	mechanism	NOUN
fcis-31264	84	8	,	,	PUNCT
fcis-31264	84	9	mamba	mamba	PROPN
fcis-31264	84	10	has	have	VERB
fcis-31264	84	11	greater	great	ADJ
fcis-31264	84	12	throughput	throughput	NOUN
fcis-31264	84	13	and	and	CCONJ
fcis-31264	84	14	faster	fast	ADJ
fcis-31264	84	15	processing	processing	NOUN
fcis-31264	84	16	speed	speed	NOUN
fcis-31264	84	17	,	,	PUNCT
fcis-31264	84	18	and	and	CCONJ
fcis-31264	84	19	has	have	VERB
fcis-31264	84	20	better	well	ADJ
fcis-31264	84	21	universality	universality	NOUN
fcis-31264	84	22	and	and	CCONJ
fcis-31264	84	23	adaptability	adaptability	NOUN
fcis-31264	84	24	.	.	PUNCT
fcis-31264	85	1	the	the	DET
fcis-31264	85	2	standard	standard	ADJ
fcis-31264	85	3	state	state	NOUN
fcis-31264	85	4	space	space	NOUN
fcis-31264	85	5	model	model	NOUN
fcis-31264	85	6	(	(	PUNCT
fcis-31264	85	7	ssm	ssm	PROPN
fcis-31264	85	8	)	)	PUNCT
fcis-31264	85	9	usually	usually	ADV
fcis-31264	85	10	assumes	assume	VERB
fcis-31264	85	11	that	that	SCONJ
fcis-31264	85	12	parameters	parameter	NOUN
fcis-31264	85	13	remain	remain	VERB
fcis-31264	85	14	constant	constant	ADJ
fcis-31264	85	15	,	,	PUNCT
fcis-31264	85	16	that	that	ADV
fcis-31264	85	17	is	is	ADV
fcis-31264	85	18	,	,	PUNCT
fcis-31264	85	19	it	it	PRON
fcis-31264	85	20	is	be	AUX
fcis-31264	85	21	believed	believe	VERB
fcis-31264	85	22	that	that	SCONJ
fcis-31264	85	23	the	the	DET
fcis-31264	85	24	state	state	NOUN
fcis-31264	85	25	transition	transition	NOUN
fcis-31264	85	26	matrix	matrix	NOUN
fcis-31264	85	27	,	,	PUNCT
fcis-31264	85	28	etc	etc	X
fcis-31264	85	29	.	.	X
fcis-31264	85	30	do	do	AUX
fcis-31264	85	31	not	not	PART
fcis-31264	85	32	change	change	VERB
fcis-31264	85	33	during	during	ADP
fcis-31264	85	34	sequence	sequence	NOUN
fcis-31264	85	35	processing	processing	NOUN
fcis-31264	85	36	.	.	PUNCT
fcis-31264	86	1	the	the	DET
fcis-31264	86	2	mamba	mamba	PROPN
fcis-31264	86	3	encoder	encoder	NOUN
fcis-31264	86	4	introduces	introduce	VERB
fcis-31264	86	5	time	time	NOUN
fcis-31264	86	6	-	-	PUNCT
fcis-31264	86	7	varying	vary	VERB
fcis-31264	86	8	parameters	parameter	NOUN
fcis-31264	86	9	,	,	PUNCT
fcis-31264	86	10	allowing	allow	VERB
fcis-31264	86	11	the	the	DET
fcis-31264	86	12	parameters	parameter	NOUN
fcis-31264	86	13	to	to	PART
fcis-31264	86	14	change	change	VERB
fcis-31264	86	15	along	along	ADP
fcis-31264	86	16	with	with	ADP
fcis-31264	86	17	the	the	DET
fcis-31264	86	18	iteration	iteration	NOUN
fcis-31264	86	19	step	step	NOUN
fcis-31264	86	20	size	size	NOUN
fcis-31264	86	21	.	.	PUNCT
fcis-31264	87	1	this	this	DET
fcis-31264	87	2	design	design	NOUN
fcis-31264	87	3	,	,	PUNCT
fcis-31264	87	4	while	while	SCONJ
fcis-31264	87	5	maintaining	maintain	VERB
fcis-31264	87	6	the	the	DET
fcis-31264	87	7	degree	degree	NOUN
fcis-31264	87	8	of	of	ADP
fcis-31264	87	9	linear	linear	ADJ
fcis-31264	87	10	complexity	complexity	NOUN
fcis-31264	87	11	in	in	ADP
fcis-31264	87	12	computation	computation	NOUN
fcis-31264	87	13	,	,	PUNCT
fcis-31264	87	14	brings	bring	VERB
fcis-31264	87	15	greater	great	ADJ
fcis-31264	87	16	flexibility	flexibility	NOUN
fcis-31264	87	17	and	and	CCONJ
fcis-31264	87	18	expressiveness	expressiveness	NOUN
fcis-31264	87	19	to	to	ADP
fcis-31264	87	20	sequence	sequence	NOUN
fcis-31264	87	21	modeling	modeling	NOUN
fcis-31264	87	22	,	,	PUNCT
fcis-31264	87	23	which	which	PRON
fcis-31264	87	24	is	be	AUX
fcis-31264	87	25	one	one	NUM
fcis-31264	87	26	of	of	ADP
fcis-31264	87	27	the	the	DET
fcis-31264	87	28	key	key	ADJ
fcis-31264	87	29	innovations	innovation	NOUN
fcis-31264	87	30	that	that	PRON
fcis-31264	87	31	distinguish	distinguish	VERB
fcis-31264	87	32	the	the	DET
fcis-31264	87	33	mamba	mamba	ADJ
fcis-31264	87	34	encoder	encoder	NOUN
fcis-31264	87	35	from	from	ADP
fcis-31264	87	36	other	other	ADJ
fcis-31264	87	37	encoders	encoder	NOUN
fcis-31264	87	38	.	.	PUNCT
fcis-31264	88	1	the	the	DET
fcis-31264	88	2	generation	generation	NOUN
fcis-31264	88	3	formula	formula	NOUN
fcis-31264	88	4	of	of	ADP
fcis-31264	88	5	time	time	NOUN
fcis-31264	88	6	-	-	PUNCT
fcis-31264	88	7	varying	vary	VERB
fcis-31264	88	8	parameters	parameter	NOUN
fcis-31264	88	9	is	be	AUX
fcis-31264	88	10	shown	show	VERB
fcis-31264	88	11	in	in	ADP
fcis-31264	88	12	(	(	PUNCT
fcis-31264	88	13	3	3	NUM
fcis-31264	88	14	)	)	PUNCT
fcis-31264	88	15	.	.	PUNCT
fcis-31264	88	16	)	)	PUNCT
fcis-31264	89	1	b	b	X
fcis-31264	89	2	t	t	NOUN
fcis-31264	89	3	t	t	PROPN
fcis-31264	89	4	t	t	PROPN
fcis-31264	90	1	b	b	PROPN
fcis-31264	90	2	t	t	PROPN
fcis-31264	90	3	t	t	PROPN
fcis-31264	90	4	c	c	PROPN
fcis-31264	90	5	w	w	PROPN
fcis-31264	90	6	x	x	X
fcis-31264	90	7	w	w	PROPN
fcis-31264	90	8	x	x	X
fcis-31264	90	9	c	c	NOUN
fcis-31264	90	10	w	w	NOUN
fcis-31264	90	11	x	x	NOUN
fcis-31264	90	12			NOUN
fcis-31264	90	13			ADV
fcis-31264	91	1			NUM
fcis-31264	92	1			NOUN
fcis-31264	93	1			NOUN
fcis-31264	93	2	（	（	PUNCT
fcis-31264	93	3	(	(	PUNCT
fcis-31264	93	4	3	3	NUM
fcis-31264	93	5	)	)	PUNCT
fcis-31264	93	6	then	then	ADV
fcis-31264	93	7	,	,	PUNCT
fcis-31264	93	8	the	the	DET
fcis-31264	93	9	mamba	mamba	PROPN
fcis-31264	93	10	model	model	PROPN
fcis-31264	93	11	discretizes	discretize	VERB
fcis-31264	93	12	the	the	DET
fcis-31264	93	13	continuous	continuous	ADJ
fcis-31264	93	14	state	state	NOUN
fcis-31264	93	15	space	space	NOUN
fcis-31264	93	16	model	model	NOUN
fcis-31264	93	17	(	(	PUNCT
fcis-31264	93	18	ssm	ssm	PROPN
fcis-31264	93	19	)	)	PUNCT
fcis-31264	93	20	through	through	ADP
fcis-31264	93	21	the	the	DET
fcis-31264	93	22	zero	zero	NUM
fcis-31264	93	23	-	-	PUNCT
fcis-31264	93	24	order	order	NOUN
fcis-31264	93	25	hold	hold	NOUN
fcis-31264	93	26	(	(	PUNCT
fcis-31264	93	27	zoh	zoh	NOUN
fcis-31264	93	28	)	)	PUNCT
fcis-31264	93	29	method	method	NOUN
fcis-31264	93	30	.	.	PUNCT
fcis-31264	94	1	the	the	DET
fcis-31264	94	2	zero	zero	NUM
fcis-31264	94	3	-	-	PUNCT
fcis-31264	94	4	order	order	NOUN
fcis-31264	94	5	preservation	preservation	NOUN
fcis-31264	94	6	method	method	NOUN
fcis-31264	94	7	discretizes	discretize	VERB
fcis-31264	94	8	the	the	DET
fcis-31264	94	9	parameter	parameter	NOUN
fcis-31264	94	10	generation	generation	NOUN
fcis-31264	94	11	that	that	PRON
fcis-31264	94	12	supports	support	VERB
fcis-31264	94	13	input	input	NOUN
fcis-31264	94	14	perception	perception	NOUN
fcis-31264	94	15	,	,	PUNCT
fcis-31264	94	16	realizes	realize	VERB
fcis-31264	94	17	the	the	DET
fcis-31264	94	18	selective	selective	ADJ
fcis-31264	94	19	mechanism	mechanism	NOUN
fcis-31264	94	20	,	,	PUNCT
fcis-31264	94	21	and	and	CCONJ
fcis-31264	94	22	simultaneously	simultaneously	ADV
fcis-31264	94	23	achieves	achieve	VERB
fcis-31264	94	24	linear	linear	ADJ
fcis-31264	94	25	complexity	complexity	NOUN
fcis-31264	94	26	and	and	CCONJ
fcis-31264	94	27	full	full	ADJ
fcis-31264	94	28	parallel	parallel	ADJ
fcis-31264	94	29	computing	computing	NOUN
fcis-31264	94	30	,	,	PUNCT
fcis-31264	94	31	successfully	successfully	ADV
fcis-31264	94	32	breaking	break	VERB
fcis-31264	94	33	through	through	ADP
fcis-31264	94	34	the	the	DET
fcis-31264	94	35	bottleneck	bottleneck	NOUN
fcis-31264	94	36	of	of	ADP
fcis-31264	94	37	long	long	ADJ
fcis-31264	94	38	sequences	sequence	NOUN
fcis-31264	94	39	.	.	PUNCT
fcis-31264	95	1	it	it	PRON
fcis-31264	95	2	is	be	AUX
fcis-31264	95	3	specifically	specifically	ADV
fcis-31264	95	4	shown	show	VERB
fcis-31264	95	5	as	as	ADP
fcis-31264	95	6	formula	formula	NOUN
fcis-31264	95	7	(	(	PUNCT
fcis-31264	95	8	4	4	NUM
fcis-31264	95	9	)	)	PUNCT
fcis-31264	95	10	.	.	PUNCT
fcis-31264	96	1	1	1	NUM
fcis-31264	96	2	,	,	PUNCT
fcis-31264	96	3	(	(	PUNCT
fcis-31264	96	4	)	)	PUNCT
fcis-31264	96	5	(	(	PUNCT
fcis-31264	96	6	1)t	1)t	PROPN
fcis-31264	96	7	ta	ta	PROPN
fcis-31264	96	8	a	a	DET
fcis-31264	96	9	t	t	PROPN
fcis-31264	96	10	t	t	PROPN
fcis-31264	96	11	t	t	PROPN
fcis-31264	96	12	t	t	X
fcis-31264	96	13	ta	ta	PROPN
fcis-31264	96	14	e	e	PROPN
fcis-31264	96	15	b	b	PROPN
fcis-31264	96	16	a	a	DET
fcis-31264	96	17	e	e	NOUN
fcis-31264	96	18	b	b	PROPN
fcis-31264	97	1			PROPN
fcis-31264	97	2			NUM
fcis-31264	97	3			PUNCT
fcis-31264	97	4			NOUN
fcis-31264	97	5			NOUN
fcis-31264	97	6	(	(	PUNCT
fcis-31264	97	7	4	4	NUM
fcis-31264	97	8	)	)	PUNCT
fcis-31264	97	9	then	then	ADV
fcis-31264	97	10	,	,	PUNCT
fcis-31264	97	11	parallel	parallel	ADJ
fcis-31264	97	12	state	state	NOUN
fcis-31264	97	13	updates	update	NOUN
fcis-31264	97	14	are	be	AUX
fcis-31264	97	15	carried	carry	VERB
fcis-31264	97	16	out	out	ADP
fcis-31264	97	17	(	(	PUNCT
fcis-31264	97	18	as	as	SCONJ
fcis-31264	97	19	shown	show	VERB
fcis-31264	97	20	in	in	ADP
fcis-31264	97	21	formula	formula	NOUN
fcis-31264	97	22	(	(	PUNCT
fcis-31264	97	23	5	5	NUM
fcis-31264	97	24	)	)	PUNCT
fcis-31264	97	25	)	)	PUNCT
fcis-31264	97	26	,	,	PUNCT
fcis-31264	97	27	and	and	CCONJ
fcis-31264	97	28	the	the	DET
fcis-31264	97	29	parallel	parallel	ADJ
fcis-31264	97	30	scan	scan	ADJ
fcis-31264	97	31	algorithm	algorithm	NOUN
fcis-31264	97	32	(	(	PUNCT
fcis-31264	97	33	parallel	parallel	ADJ
fcis-31264	97	34	scan	scan	NOUN
fcis-31264	97	35	)	)	PUNCT
fcis-31264	97	36	is	be	AUX
fcis-31264	97	37	used	use	VERB
fcis-31264	97	38	to	to	PART
fcis-31264	97	39	avoid	avoid	VERB
fcis-31264	97	40	recursive	recursive	ADJ
fcis-31264	97	41	computations	computation	NOUN
fcis-31264	97	42	.	.	PUNCT
fcis-31264	98	1	the	the	DET
fcis-31264	98	2	parallel	parallel	ADJ
fcis-31264	98	3	scanning	scanning	NOUN
fcis-31264	98	4	algorithm	algorithm	NOUN
fcis-31264	98	5	has	have	VERB
fcis-31264	98	6	disruptive	disruptive	ADJ
fcis-31264	98	7	value	value	NOUN
fcis-31264	98	8	.	.	PUNCT
fcis-31264	99	1	while	while	SCONJ
fcis-31264	99	2	improving	improve	VERB
fcis-31264	99	3	the	the	DET
fcis-31264	99	4	training	training	NOUN
fcis-31264	99	5	speed	speed	NOUN
fcis-31264	99	6	,	,	PUNCT
fcis-31264	99	7	it	it	PRON
fcis-31264	99	8	significantly	significantly	ADV
fcis-31264	99	9	saves	save	VERB
fcis-31264	99	10	memory	memory	NOUN
fcis-31264	99	11	.	.	PUNCT
fcis-31264	100	1	it	it	PRON
fcis-31264	100	2	is	be	AUX
fcis-31264	100	3	the	the	DET
fcis-31264	100	4	only	only	ADJ
fcis-31264	100	5	parallel	parallel	ADJ
fcis-31264	100	6	scheme	scheme	NOUN
fcis-31264	100	7	that	that	PRON
fcis-31264	100	8	supports	support	VERB
fcis-31264	100	9	dynamic	dynamic	ADJ
fcis-31264	100	10	parametric	parametric	ADJ
fcis-31264	100	11	state	state	NOUN
fcis-31264	100	12	transitions	transition	NOUN
fcis-31264	100	13	and	and	CCONJ
fcis-31264	100	14	provides	provide	VERB
fcis-31264	100	15	a	a	DET
fcis-31264	100	16	computational	computational	ADJ
fcis-31264	100	17	basis	basis	NOUN
fcis-31264	100	18	for	for	ADP
fcis-31264	100	19	the	the	DET
fcis-31264	100	20	selectivity	selectivity	NOUN
fcis-31264	100	21	mechanism	mechanism	NOUN
fcis-31264	100	22	of	of	ADP
fcis-31264	100	23	mamba	mamba	NOUN
fcis-31264	100	24	.	.	PUNCT
fcis-31264	101	1	1	1	NUM
fcis-31264	101	2	t	t	NOUN
fcis-31264	101	3	t	t	PROPN
fcis-31264	101	4	t	t	PROPN
fcis-31264	101	5	t	t	PROPN
fcis-31264	101	6	th	th	X
fcis-31264	101	7	a	a	DET
fcis-31264	101	8	h	h	NOUN
fcis-31264	101	9	b	b	NOUN
fcis-31264	101	10	x	x	PROPN
fcis-31264	101	11			X
fcis-31264	101	12	(	(	PUNCT
fcis-31264	101	13	5	5	X
fcis-31264	101	14	)	)	PUNCT
fcis-31264	101	15	t	t	NOUN
fcis-31264	101	16	t	t	NOUN
fcis-31264	101	17	ty	ty	INTJ
fcis-31264	101	18	c	c	PROPN
fcis-31264	101	19	h	h	NOUN
fcis-31264	101	20	(	(	PUNCT
fcis-31264	101	21	6	6	NUM
fcis-31264	101	22	)	)	PUNCT
fcis-31264	101	23	in	in	ADP
fcis-31264	101	24	this	this	DET
fcis-31264	101	25	study	study	NOUN
fcis-31264	101	26	,	,	PUNCT
fcis-31264	101	27	to	to	PART
fcis-31264	101	28	determine	determine	VERB
fcis-31264	101	29	the	the	DET
fcis-31264	101	30	optimal	optimal	ADJ
fcis-31264	101	31	value	value	NOUN
fcis-31264	101	32	of	of	ADP
fcis-31264	101	33	the	the	DET
fcis-31264	101	34	core	core	NOUN
fcis-31264	101	35	parameter	parameter	NOUN
fcis-31264	101	36	of	of	ADP
fcis-31264	101	37	the	the	DET
fcis-31264	101	38	mamba	mamba	PROPN
fcis-31264	101	39	model	model	PROPN
fcis-31264	101	40	the	the	DET
fcis-31264	101	41	state	state	NOUN
fcis-31264	101	42	dimension	dimension	NOUN
fcis-31264	101	43	(	(	PUNCT
fcis-31264	101	44	d	d	NOUN
fcis-31264	101	45	state	state	NOUN
fcis-31264	101	46	)	)	PUNCT
fcis-31264	101	47	,	,	PUNCT
fcis-31264	101	48	three	three	NUM
fcis-31264	101	49	groups	group	NOUN
fcis-31264	101	50	of	of	ADP
fcis-31264	101	51	values	value	NOUN
fcis-31264	101	52	of	of	ADP
fcis-31264	101	53	4	4	NUM
fcis-31264	101	54	,	,	PUNCT
fcis-31264	101	55	16	16	NUM
fcis-31264	101	56	,	,	PUNCT
fcis-31264	101	57	and	and	CCONJ
fcis-31264	101	58	128	128	NUM
fcis-31264	101	59	were	be	AUX
fcis-31264	101	60	selected	select	VERB
fcis-31264	101	61	,	,	PUNCT
fcis-31264	101	62	and	and	CCONJ
fcis-31264	101	63	experiments	experiment	NOUN
fcis-31264	101	64	were	be	AUX
fcis-31264	101	65	conducted	conduct	VERB
fcis-31264	101	66	on	on	ADP
fcis-31264	101	67	the	the	DET
fcis-31264	101	68	rep1	rep1	NOUN
fcis-31264	101	69	and	and	CCONJ
fcis-31264	101	70	k652	k652	PROPN
fcis-31264	101	71	datasets	dataset	NOUN
fcis-31264	101	72	.	.	PUNCT
fcis-31264	102	1	the	the	DET
fcis-31264	102	2	experimental	experimental	ADJ
fcis-31264	102	3	results	result	NOUN
fcis-31264	102	4	are	be	AUX
fcis-31264	102	5	shown	show	VERB
fcis-31264	102	6	in	in	ADP
fcis-31264	102	7	figure	figure	NOUN
fcis-31264	102	8	2	2	NUM
fcis-31264	102	9	:	:	PUNCT
fcis-31264	102	10	when	when	SCONJ
fcis-31264	102	11	the	the	DET
fcis-31264	102	12	value	value	NOUN
fcis-31264	102	13	of	of	ADP
fcis-31264	102	14	the	the	DET
fcis-31264	102	15	state	state	NOUN
fcis-31264	102	16	dimension	dimension	NOUN
fcis-31264	102	17	is	be	AUX
fcis-31264	102	18	16	16	NUM
fcis-31264	102	19	,	,	PUNCT
fcis-31264	102	20	the	the	DET
fcis-31264	102	21	model	model	NOUN
fcis-31264	102	22	performance	performance	NOUN
fcis-31264	102	23	reaches	reach	VERB
fcis-31264	102	24	the	the	DET
fcis-31264	102	25	optimum	optimum	NOUN
fcis-31264	102	26	.	.	PUNCT
fcis-31264	103	1	figure	figure	NOUN
fcis-31264	103	2	2	2	NUM
fcis-31264	103	3	.	.	PUNCT
fcis-31264	103	4	comparison	comparison	NOUN
fcis-31264	103	5	chart	chart	NOUN
fcis-31264	103	6	of	of	ADP
fcis-31264	103	7	results	result	NOUN
fcis-31264	103	8	from	from	ADP
fcis-31264	103	9	different	different	ADJ
fcis-31264	103	10	state	state	NOUN
fcis-31264	103	11	dimension	dimension	NOUN
fcis-31264	103	12	settings	setting	NOUN
fcis-31264	103	13	.	.	PUNCT
fcis-31264	104	1	(	(	PUNCT
fcis-31264	104	2	a	a	X
fcis-31264	104	3	)	)	PUNCT
fcis-31264	104	4	k562	k562	PROPN
fcis-31264	104	5	dataset	dataset	NOUN
fcis-31264	104	6	(	(	PUNCT
fcis-31264	104	7	b	b	NOUN
fcis-31264	104	8	)	)	PUNCT
fcis-31264	104	9	rpe1	rpe1	NOUN
fcis-31264	104	10	dataset	dataset	VERB
fcis-31264	104	11	103	103	NUM
fcis-31264	104	12	(	(	PUNCT
fcis-31264	104	13	3	3	NUM
fcis-31264	104	14	)	)	PUNCT
fcis-31264	104	15	parameter	parameter	NOUN
fcis-31264	104	16	setting	setting	NOUN
fcis-31264	104	17	during	during	ADP
fcis-31264	104	18	the	the	DET
fcis-31264	104	19	model	model	NOUN
fcis-31264	104	20	training	training	NOUN
fcis-31264	104	21	process	process	NOUN
fcis-31264	104	22	,	,	PUNCT
fcis-31264	104	23	the	the	DET
fcis-31264	104	24	learning	learn	VERB
fcis-31264	104	25	rate	rate	NOUN
fcis-31264	104	26	scheduling	scheduling	NOUN
fcis-31264	104	27	adopts	adopt	VERB
fcis-31264	104	28	the	the	DET
fcis-31264	104	29	attenuation	attenuation	NOUN
fcis-31264	104	30	strategy	strategy	NOUN
fcis-31264	104	31	based	base	VERB
fcis-31264	104	32	on	on	ADP
fcis-31264	104	33	the	the	DET
fcis-31264	104	34	gamma	gamma	NOUN
fcis-31264	104	35	coefficient	coefficient	NOUN
fcis-31264	104	36	(	(	PUNCT
fcis-31264	104	37	gamma=0.5	gamma=0.5	NOUN
fcis-31264	104	38	)	)	PUNCT
fcis-31264	104	39	.	.	PUNCT
fcis-31264	105	1	when	when	SCONJ
fcis-31264	105	2	the	the	DET
fcis-31264	105	3	preset	preset	ADJ
fcis-31264	105	4	attenuation	attenuation	NOUN
fcis-31264	105	5	conditions	condition	NOUN
fcis-31264	105	6	(	(	PUNCT
fcis-31264	105	7	such	such	ADJ
fcis-31264	105	8	as	as	ADP
fcis-31264	105	9	the	the	DET
fcis-31264	105	10	stagnation	stagnation	NOUN
fcis-31264	105	11	of	of	ADP
fcis-31264	105	12	the	the	DET
fcis-31264	105	13	validation	validation	NOUN
fcis-31264	105	14	set	set	VERB
fcis-31264	105	15	performance	performance	NOUN
fcis-31264	105	16	)	)	PUNCT
fcis-31264	105	17	are	be	AUX
fcis-31264	105	18	met	meet	VERB
fcis-31264	105	19	,	,	PUNCT
fcis-31264	105	20	the	the	DET
fcis-31264	105	21	learning	learning	NOUN
fcis-31264	105	22	rate	rate	NOUN
fcis-31264	105	23	will	will	AUX
fcis-31264	105	24	be	be	AUX
fcis-31264	105	25	adjusted	adjust	VERB
fcis-31264	105	26	by	by	ADP
fcis-31264	105	27	multiplying	multiply	VERB
fcis-31264	105	28	by	by	ADP
fcis-31264	105	29	the	the	DET
fcis-31264	105	30	gamma	gamma	NOUN
fcis-31264	105	31	factor	factor	NOUN
fcis-31264	105	32	:	:	PUNCT
fcis-31264	105	33	the	the	DET
fcis-31264	105	34	initial	initial	ADJ
fcis-31264	105	35	learning	learning	NOUN
fcis-31264	105	36	rate	rate	NOUN
fcis-31264	105	37	is	be	AUX
fcis-31264	105	38	1e-3	1e-3	NUM
fcis-31264	105	39	,	,	PUNCT
fcis-31264	105	40	it	it	PRON
fcis-31264	105	41	drops	drop	VERB
fcis-31264	105	42	to	to	ADP
fcis-31264	105	43	5e-4	5e-4	NUM
fcis-31264	105	44	after	after	ADP
fcis-31264	105	45	the	the	DET
fcis-31264	105	46	first	first	ADJ
fcis-31264	105	47	attenuation	attenuation	NOUN
fcis-31264	105	48	,	,	PUNCT
fcis-31264	105	49	and	and	CCONJ
fcis-31264	105	50	further	further	ADJ
fcis-31264	105	51	drops	drop	NOUN
fcis-31264	105	52	to	to	ADP
fcis-31264	105	53	2.5e-4	2.5e-4	NUM
fcis-31264	105	54	after	after	ADP
fcis-31264	105	55	the	the	DET
fcis-31264	105	56	second	second	ADJ
fcis-31264	105	57	attenuation	attenuation	NOUN
fcis-31264	105	58	.	.	PUNCT
fcis-31264	106	1	this	this	DET
fcis-31264	106	2	progressive	progressive	ADJ
fcis-31264	106	3	attenuation	attenuation	NOUN
fcis-31264	106	4	mechanism	mechanism	NOUN
fcis-31264	106	5	enables	enable	VERB
fcis-31264	106	6	the	the	DET
fcis-31264	106	7	model	model	NOUN
fcis-31264	106	8	to	to	PART
fcis-31264	106	9	make	make	VERB
fcis-31264	106	10	more	more	ADJ
fcis-31264	106	11	refined	refined	ADJ
fcis-31264	106	12	parameter	parameter	NOUN
fcis-31264	106	13	adjustments	adjustment	NOUN
fcis-31264	106	14	when	when	SCONJ
fcis-31264	106	15	approaching	approach	VERB
fcis-31264	106	16	the	the	DET
fcis-31264	106	17	optimal	optimal	ADJ
fcis-31264	106	18	solution	solution	NOUN
fcis-31264	106	19	,	,	PUNCT
fcis-31264	106	20	effectively	effectively	ADV
fcis-31264	106	21	enhancing	enhance	VERB
fcis-31264	106	22	the	the	DET
fcis-31264	106	23	convergence	convergence	NOUN
fcis-31264	106	24	stability	stability	NOUN
fcis-31264	106	25	and	and	CCONJ
fcis-31264	106	26	generalization	generalization	NOUN
fcis-31264	106	27	ability	ability	NOUN
fcis-31264	106	28	.	.	PUNCT
fcis-31264	107	1	the	the	DET
fcis-31264	107	2	main	main	ADJ
fcis-31264	107	3	training	training	NOUN
fcis-31264	107	4	parameters	parameter	NOUN
fcis-31264	107	5	are	be	AUX
fcis-31264	107	6	configured	configure	VERB
fcis-31264	107	7	as	as	SCONJ
fcis-31264	107	8	follows	follow	VERB
fcis-31264	107	9	:	:	PUNCT
fcis-31264	107	10	the	the	DET
fcis-31264	107	11	learning	learning	NOUN
fcis-31264	107	12	rate	rate	NOUN
fcis-31264	107	13	is	be	AUX
fcis-31264	107	14	1e-3	1e-3	NUM
fcis-31264	107	15	,	,	PUNCT
fcis-31264	107	16	the	the	DET
fcis-31264	107	17	training	training	NOUN
fcis-31264	107	18	rounds	round	NOUN
fcis-31264	107	19	are	be	AUX
fcis-31264	107	20	20	20	NUM
fcis-31264	107	21	,	,	PUNCT
fcis-31264	107	22	and	and	CCONJ
fcis-31264	107	23	the	the	DET
fcis-31264	107	24	loss	loss	NOUN
fcis-31264	107	25	function	function	NOUN
fcis-31264	107	26	adopts	adopt	VERB
fcis-31264	107	27	the	the	DET
fcis-31264	107	28	combined	combine	VERB
fcis-31264	107	29	form	form	NOUN
fcis-31264	107	30	of	of	ADP
fcis-31264	107	31	kl	kl	NOUN
fcis-31264	107	32	divergence	divergence	NOUN
fcis-31264	107	33	and	and	CCONJ
fcis-31264	107	34	mean	mean	ADJ
fcis-31264	107	35	square	square	ADJ
fcis-31264	107	36	error	error	NOUN
fcis-31264	107	37	to	to	PART
fcis-31264	107	38	accurately	accurately	ADV
fcis-31264	107	39	quantify	quantify	VERB
fcis-31264	107	40	the	the	DET
fcis-31264	107	41	difference	difference	NOUN
fcis-31264	107	42	between	between	ADP
fcis-31264	107	43	the	the	DET
fcis-31264	107	44	prediction	prediction	NOUN
fcis-31264	107	45	results	result	NOUN
fcis-31264	107	46	and	and	CCONJ
fcis-31264	107	47	the	the	DET
fcis-31264	107	48	real	real	ADJ
fcis-31264	107	49	labels	label	NOUN
fcis-31264	107	50	and	and	CCONJ
fcis-31264	107	51	guide	guide	VERB
fcis-31264	107	52	the	the	DET
fcis-31264	107	53	optimization	optimization	NOUN
fcis-31264	107	54	direction	direction	NOUN
fcis-31264	107	55	.	.	PUNCT
fcis-31264	108	1	aiming	aim	VERB
fcis-31264	108	2	at	at	ADP
fcis-31264	108	3	the	the	DET
fcis-31264	108	4	problem	problem	NOUN
fcis-31264	108	5	of	of	ADP
fcis-31264	108	6	intense	intense	ADJ
fcis-31264	108	7	gradient	gradient	ADJ
fcis-31264	108	8	fluctuations	fluctuation	NOUN
fcis-31264	108	9	in	in	ADP
fcis-31264	108	10	the	the	DET
fcis-31264	108	11	early	early	ADJ
fcis-31264	108	12	stage	stage	NOUN
fcis-31264	108	13	of	of	ADP
fcis-31264	108	14	training	training	NOUN
fcis-31264	108	15	,	,	PUNCT
fcis-31264	108	16	a	a	DET
fcis-31264	108	17	higher	high	ADJ
fcis-31264	108	18	momentum	momentum	NOUN
fcis-31264	108	19	parameter	parameter	NOUN
fcis-31264	108	20	beta1=0.9	beta1=0.9	PROPN
fcis-31264	108	21	is	be	AUX
fcis-31264	108	22	set	set	VERB
fcis-31264	108	23	,	,	PUNCT
fcis-31264	108	24	which	which	PRON
fcis-31264	108	25	not	not	PART
fcis-31264	108	26	only	only	ADV
fcis-31264	108	27	supposes	suppose	VERB
fcis-31264	108	28	the	the	DET
fcis-31264	108	29	risk	risk	NOUN
fcis-31264	108	30	of	of	ADP
fcis-31264	108	31	parameter	parameter	NOUN
fcis-31264	108	32	update	update	NOUN
fcis-31264	108	33	oscillation	oscillation	NOUN
fcis-31264	108	34	but	but	CCONJ
fcis-31264	108	35	also	also	ADV
fcis-31264	108	36	ensures	ensure	VERB
fcis-31264	108	37	precise	precise	ADJ
fcis-31264	108	38	convergence	convergence	NOUN
fcis-31264	108	39	in	in	ADP
fcis-31264	108	40	the	the	DET
fcis-31264	108	41	later	later	ADJ
fcis-31264	108	42	stage	stage	NOUN
fcis-31264	108	43	.	.	PUNCT
fcis-31264	109	1	to	to	PART
fcis-31264	109	2	prevent	prevent	VERB
fcis-31264	109	3	overfitting	overfitting	NOUN
fcis-31264	109	4	,	,	PUNCT
fcis-31264	109	5	l2	l2	NOUN
fcis-31264	109	6	regularization	regularization	NOUN
fcis-31264	109	7	is	be	AUX
fcis-31264	109	8	introduced	introduce	VERB
fcis-31264	109	9	and	and	CCONJ
fcis-31264	109	10	the	the	DET
fcis-31264	109	11	weight	weight	NOUN
fcis-31264	109	12	attenuation	attenuation	NOUN
fcis-31264	109	13	coefficient	coefficient	NOUN
fcis-31264	109	14	5e-4	5e-4	PROPN
fcis-31264	109	15	is	be	AUX
fcis-31264	109	16	set	set	VERB
fcis-31264	109	17	.	.	PUNCT
fcis-31264	110	1	by	by	ADP
fcis-31264	110	2	constraining	constrain	VERB
fcis-31264	110	3	the	the	DET
fcis-31264	110	4	model	model	NOUN
fcis-31264	110	5	complexity	complexity	NOUN
fcis-31264	110	6	,	,	PUNCT
fcis-31264	110	7	overlearning	overlearne	VERB
fcis-31264	110	8	of	of	ADP
fcis-31264	110	9	the	the	DET
fcis-31264	110	10	training	training	NOUN
fcis-31264	110	11	noise	noise	NOUN
fcis-31264	110	12	is	be	AUX
fcis-31264	110	13	avoided	avoid	VERB
fcis-31264	110	14	.	.	PUNCT
fcis-31264	111	1	as	as	SCONJ
fcis-31264	111	2	shown	show	VERB
fcis-31264	111	3	in	in	ADP
fcis-31264	111	4	figure	figure	NOUN
fcis-31264	111	5	3	3	NUM
fcis-31264	111	6	,	,	PUNCT
fcis-31264	111	7	the	the	DET
fcis-31264	111	8	training	training	NOUN
fcis-31264	111	9	process	process	NOUN
fcis-31264	111	10	is	be	AUX
fcis-31264	111	11	stable	stable	ADJ
fcis-31264	111	12	and	and	CCONJ
fcis-31264	111	13	eventually	eventually	ADV
fcis-31264	111	14	converges	converge	VERB
fcis-31264	111	15	.	.	PUNCT
fcis-31264	112	1	figure	figure	NOUN
fcis-31264	112	2	3	3	NUM
fcis-31264	112	3	.	.	PUNCT
fcis-31264	113	1	training	train	VERB
fcis-31264	113	2	loss	loss	NOUN
fcis-31264	113	3	curves	curve	NOUN
fcis-31264	113	4	for	for	ADP
fcis-31264	113	5	different	different	ADJ
fcis-31264	113	6	datasets	dataset	NOUN
fcis-31264	113	7	.	.	PUNCT
fcis-31264	114	1	(	(	PUNCT
fcis-31264	114	2	a	a	X
fcis-31264	114	3	)	)	PUNCT
fcis-31264	114	4	noman	noman	NOUN
fcis-31264	114	5	dataset	dataset	NOUN
fcis-31264	114	6	(	(	PUNCT
fcis-31264	114	7	b	b	NOUN
fcis-31264	114	8	)	)	PUNCT
fcis-31264	114	9	k562	k562	PROPN
fcis-31264	114	10	dataset	dataset	NOUN
fcis-31264	114	11	(	(	PUNCT
fcis-31264	114	12	c	c	NOUN
fcis-31264	114	13	)	)	PUNCT
fcis-31264	114	14	rpe1	rpe1	NOUN
fcis-31264	114	15	dataset	dataset	VERB
fcis-31264	114	16	3	3	NUM
fcis-31264	114	17	.	.	PUNCT
fcis-31264	115	1	analysis	analysis	NOUN
fcis-31264	115	2	result	result	NOUN
fcis-31264	115	3	as	as	SCONJ
fcis-31264	115	4	illustrated	illustrate	VERB
fcis-31264	115	5	in	in	ADP
fcis-31264	115	6	figure	figure	NOUN
fcis-31264	115	7	4	4	NUM
fcis-31264	115	8	,	,	PUNCT
fcis-31264	115	9	to	to	PART
fcis-31264	115	10	assess	assess	VERB
fcis-31264	115	11	differences	difference	NOUN
fcis-31264	115	12	in	in	ADP
fcis-31264	115	13	singlecell	singlecell	NOUN
fcis-31264	115	14	gene	gene	NOUN
fcis-31264	115	15	expression	expression	NOUN
fcis-31264	115	16	before	before	ADP
fcis-31264	115	17	and	and	CCONJ
fcis-31264	115	18	after	after	ADP
fcis-31264	115	19	perturbation	perturbation	NOUN
fcis-31264	115	20	,	,	PUNCT
fcis-31264	115	21	we	we	PRON
fcis-31264	115	22	calculated	calculate	VERB
fcis-31264	115	23	the	the	DET
fcis-31264	115	24	mean	mean	ADJ
fcis-31264	115	25	squared	square	VERB
fcis-31264	115	26	error	error	NOUN
fcis-31264	115	27	(	(	PUNCT
fcis-31264	115	28	mse	mse	NOUN
fcis-31264	115	29	)	)	PUNCT
fcis-31264	115	30	for	for	ADP
fcis-31264	115	31	each	each	DET
fcis-31264	115	32	gene	gene	NOUN
fcis-31264	115	33	between	between	ADP
fcis-31264	115	34	the	the	DET
fcis-31264	115	35	control	control	NOUN
fcis-31264	115	36	and	and	CCONJ
fcis-31264	115	37	experimental	experimental	ADJ
fcis-31264	115	38	groups	group	NOUN
fcis-31264	115	39	.	.	PUNCT
fcis-31264	116	1	given	give	VERB
fcis-31264	116	2	that	that	SCONJ
fcis-31264	116	3	the	the	DET
fcis-31264	116	4	vast	vast	ADJ
fcis-31264	116	5	majority	majority	NOUN
fcis-31264	116	6	of	of	ADP
fcis-31264	116	7	genes	gene	NOUN
fcis-31264	116	8	exhibit	exhibit	VERB
fcis-31264	116	9	no	no	DET
fcis-31264	116	10	substantial	substantial	ADJ
fcis-31264	116	11	changes	change	NOUN
fcis-31264	116	12	between	between	ADP
fcis-31264	116	13	unperturbed	unperturbed	ADJ
fcis-31264	116	14	and	and	CCONJ
fcis-31264	116	15	perturbed	perturb	VERB
fcis-31264	116	16	states	state	NOUN
fcis-31264	116	17	,	,	PUNCT
fcis-31264	116	18	only	only	ADV
fcis-31264	116	19	the	the	DET
fcis-31264	116	20	top	top	ADJ
fcis-31264	116	21	20	20	NUM
fcis-31264	116	22	differentially	differentially	ADV
fcis-31264	116	23	expressed	express	VERB
fcis-31264	116	24	genes	gene	NOUN
fcis-31264	116	25	(	(	PUNCT
fcis-31264	116	26	degs	deg	NOUN
fcis-31264	116	27	)	)	PUNCT
fcis-31264	116	28	were	be	AUX
fcis-31264	116	29	considered	consider	VERB
fcis-31264	116	30	.	.	PUNCT
fcis-31264	117	1	in	in	ADP
fcis-31264	117	2	the	the	DET
fcis-31264	117	3	figure	figure	NOUN
fcis-31264	117	4	,	,	PUNCT
fcis-31264	117	5	the	the	DET
fcis-31264	117	6	groups	group	NOUN
fcis-31264	117	7	labeled	label	VERB
fcis-31264	117	8	"	"	PUNCT
fcis-31264	117	9	0/2	0/2	NUM
fcis-31264	117	10	unseen	unseen	ADJ
fcis-31264	117	11	,	,	PUNCT
fcis-31264	117	12	"	"	PUNCT
fcis-31264	117	13	"	"	PUNCT
fcis-31264	117	14	1/2	1/2	NUM
fcis-31264	117	15	unseen	unseen	ADJ
fcis-31264	117	16	,	,	PUNCT
fcis-31264	117	17	"	"	PUNCT
fcis-31264	117	18	and	and	CCONJ
fcis-31264	117	19	"	"	PUNCT
fcis-31264	117	20	2/2	2/2	NUM
fcis-31264	117	21	unseen	unseen	ADJ
fcis-31264	117	22	"	"	PUNCT
fcis-31264	117	23	correspond	correspond	NOUN
fcis-31264	117	24	to	to	ADP
fcis-31264	117	25	experimental	experimental	ADJ
fcis-31264	117	26	conditions	condition	NOUN
fcis-31264	117	27	where	where	SCONJ
fcis-31264	117	28	zero	zero	NUM
fcis-31264	117	29	,	,	PUNCT
fcis-31264	117	30	one	one	NUM
fcis-31264	117	31	,	,	PUNCT
fcis-31264	117	32	or	or	CCONJ
fcis-31264	117	33	both	both	DET
fcis-31264	117	34	perturbation	perturbation	NOUN
fcis-31264	117	35	targets	target	NOUN
fcis-31264	117	36	were	be	AUX
fcis-31264	117	37	observed	observe	VERB
fcis-31264	117	38	in	in	ADP
fcis-31264	117	39	the	the	DET
fcis-31264	117	40	training	training	NOUN
fcis-31264	117	41	set	set	NOUN
fcis-31264	117	42	,	,	PUNCT
fcis-31264	117	43	respectively	respectively	ADV
fcis-31264	117	44	.	.	PUNCT
fcis-31264	118	1	this	this	DET
fcis-31264	118	2	grouping	grouping	NOUN
fcis-31264	118	3	setting	set	VERB
fcis-31264	118	4	precisely	precisely	ADV
fcis-31264	118	5	simulates	simulate	VERB
fcis-31264	118	6	the	the	DET
fcis-31264	118	7	challenge	challenge	NOUN
fcis-31264	118	8	of	of	ADP
fcis-31264	118	9	data	datum	NOUN
fcis-31264	118	10	sparsity	sparsity	NOUN
fcis-31264	118	11	inherent	inherent	ADJ
fcis-31264	118	12	in	in	ADP
fcis-31264	118	13	gene	gene	NOUN
fcis-31264	118	14	perturbation	perturbation	NOUN
fcis-31264	118	15	prediction	prediction	NOUN
fcis-31264	118	16	tasks	task	NOUN
fcis-31264	118	17	:	:	PUNCT
fcis-31264	118	18	fewer	few	ADJ
fcis-31264	118	19	perturbation	perturbation	NOUN
fcis-31264	118	20	targets	target	NOUN
fcis-31264	118	21	observed	observe	VERB
fcis-31264	118	22	during	during	ADP
fcis-31264	118	23	training	training	NOUN
fcis-31264	118	24	correspond	correspond	NOUN
fcis-31264	118	25	to	to	ADP
fcis-31264	118	26	larger	large	ADJ
fcis-31264	118	27	information	information	NOUN
fcis-31264	118	28	gaps	gap	VERB
fcis-31264	118	29	the	the	DET
fcis-31264	118	30	model	model	NOUN
fcis-31264	118	31	must	must	AUX
fcis-31264	118	32	fill	fill	VERB
fcis-31264	118	33	,	,	PUNCT
fcis-31264	118	34	with	with	ADP
fcis-31264	118	35	prediction	prediction	NOUN
fcis-31264	118	36	difficulty	difficulty	NOUN
fcis-31264	118	37	increasing	increase	VERB
fcis-31264	118	38	exponentially	exponentially	ADV
fcis-31264	118	39	.	.	PUNCT
fcis-31264	119	1	the	the	DET
fcis-31264	119	2	experimental	experimental	ADJ
fcis-31264	119	3	results	result	NOUN
fcis-31264	119	4	in	in	ADP
fcis-31264	119	5	figure	figure	NOUN
fcis-31264	119	6	4	4	NUM
fcis-31264	119	7	demonstrate	demonstrate	VERB
fcis-31264	119	8	that	that	SCONJ
fcis-31264	119	9	the	the	DET
fcis-31264	119	10	proposed	propose	VERB
fcis-31264	119	11	model	model	NOUN
fcis-31264	119	12	exhibits	exhibit	VERB
fcis-31264	119	13	significant	significant	ADJ
fcis-31264	119	14	advantages	advantage	NOUN
fcis-31264	119	15	across	across	ADP
fcis-31264	119	16	all	all	DET
fcis-31264	119	17	data	datum	NOUN
fcis-31264	119	18	groups	group	NOUN
fcis-31264	119	19	,	,	PUNCT
fcis-31264	119	20	with	with	ADP
fcis-31264	119	21	prediction	prediction	NOUN
fcis-31264	119	22	performance	performance	NOUN
fcis-31264	119	23	substantially	substantially	ADV
fcis-31264	119	24	surpassing	surpass	VERB
fcis-31264	119	25	all	all	DET
fcis-31264	119	26	baseline	baseline	NOUN
fcis-31264	119	27	models	model	NOUN
fcis-31264	119	28	.	.	PUNCT
fcis-31264	120	1	even	even	ADV
fcis-31264	120	2	under	under	ADP
fcis-31264	120	3	the	the	DET
fcis-31264	120	4	extremely	extremely	ADV
fcis-31264	120	5	challenging	challenging	ADJ
fcis-31264	120	6	"	"	PUNCT
fcis-31264	120	7	0/2	0/2	NUM
fcis-31264	120	8	unseen	unseen	ADJ
fcis-31264	120	9	"	"	PUNCT
fcis-31264	120	10	scenario	scenario	NOUN
fcis-31264	120	11	,	,	PUNCT
fcis-31264	120	12	the	the	DET
fcis-31264	120	13	model	model	NOUN
fcis-31264	120	14	's	's	PART
fcis-31264	120	15	prediction	prediction	NOUN
fcis-31264	120	16	error	error	NOUN
fcis-31264	120	17	remains	remain	VERB
fcis-31264	120	18	lower	low	ADJ
fcis-31264	120	19	than	than	ADP
fcis-31264	120	20	traditional	traditional	ADJ
fcis-31264	120	21	methods	method	NOUN
fcis-31264	120	22	,	,	PUNCT
fcis-31264	120	23	robustly	robustly	ADV
fcis-31264	120	24	validating	validate	VERB
fcis-31264	120	25	its	its	PRON
fcis-31264	120	26	superior	superior	ADJ
fcis-31264	120	27	generalization	generalization	NOUN
fcis-31264	120	28	capability	capability	NOUN
fcis-31264	120	29	for	for	ADP
fcis-31264	120	30	complex	complex	ADJ
fcis-31264	120	31	multi	multi	ADJ
fcis-31264	120	32	-	-	ADJ
fcis-31264	120	33	gene	gene	ADJ
fcis-31264	120	34	perturbation	perturbation	NOUN
fcis-31264	120	35	prediction	prediction	NOUN
fcis-31264	120	36	tasks	task	NOUN
fcis-31264	120	37	.	.	PUNCT
fcis-31264	121	1	the	the	DET
fcis-31264	121	2	model	model	NOUN
fcis-31264	121	3	's	's	PART
fcis-31264	121	4	exceptional	exceptional	ADJ
fcis-31264	121	5	performance	performance	NOUN
fcis-31264	121	6	stems	stem	VERB
fcis-31264	121	7	from	from	ADP
fcis-31264	121	8	two	two	NUM
fcis-31264	121	9	core	core	NOUN
fcis-31264	121	10	innovative	innovative	ADJ
fcis-31264	121	11	designs	design	NOUN
fcis-31264	121	12	.	.	PUNCT
fcis-31264	122	1	firstly	firstly	ADV
fcis-31264	122	2	,	,	PUNCT
fcis-31264	122	3	the	the	DET
fcis-31264	122	4	dual	dual	ADJ
fcis-31264	122	5	-	-	PUNCT
fcis-31264	122	6	stream	stream	NOUN
fcis-31264	122	7	network	network	NOUN
fcis-31264	122	8	architecture	architecture	NOUN
fcis-31264	122	9	overcomes	overcome	VERB
fcis-31264	122	10	the	the	DET
fcis-31264	122	11	limitations	limitation	NOUN
fcis-31264	122	12	of	of	ADP
fcis-31264	122	13	single	single	ADJ
fcis-31264	122	14	data	datum	NOUN
fcis-31264	122	15	input	input	NOUN
fcis-31264	122	16	modalities	modality	NOUN
fcis-31264	122	17	.	.	PUNCT
fcis-31264	123	1	by	by	ADP
fcis-31264	123	2	constructing	construct	VERB
fcis-31264	123	3	parallel	parallel	ADJ
fcis-31264	123	4	information	information	NOUN
fcis-31264	123	5	channels	channel	NOUN
fcis-31264	123	6	,	,	PUNCT
fcis-31264	123	7	it	it	PRON
fcis-31264	123	8	achieves	achieve	VERB
fcis-31264	123	9	deep	deep	ADJ
fcis-31264	123	10	integration	integration	NOUN
fcis-31264	123	11	of	of	ADP
fcis-31264	123	12	gene	gene	NOUN
fcis-31264	123	13	expression	expression	NOUN
fcis-31264	123	14	data	datum	NOUN
fcis-31264	123	15	with	with	ADP
fcis-31264	123	16	domain	domain	NOUN
fcis-31264	123	17	knowledge	knowledge	NOUN
fcis-31264	123	18	:	:	PUNCT
fcis-31264	123	19	one	one	NUM
fcis-31264	123	20	pathway	pathway	NOUN
fcis-31264	123	21	focuses	focus	VERB
fcis-31264	123	22	on	on	ADP
fcis-31264	123	23	extracting	extract	VERB
fcis-31264	123	24	statistical	statistical	ADJ
fcis-31264	123	25	features	feature	NOUN
fcis-31264	123	26	from	from	ADP
fcis-31264	123	27	vast	vast	ADJ
fcis-31264	123	28	transcriptomic	transcriptomic	ADJ
fcis-31264	123	29	data	datum	NOUN
fcis-31264	123	30	,	,	PUNCT
fcis-31264	123	31	while	while	SCONJ
fcis-31264	123	32	the	the	DET
fcis-31264	123	33	other	other	ADJ
fcis-31264	123	34	encodes	encode	NOUN
fcis-31264	123	35	structured	structure	VERB
fcis-31264	123	36	biological	biological	ADJ
fcis-31264	123	37	knowledge	knowledge	NOUN
fcis-31264	123	38	—	—	PUNCT
fcis-31264	123	39	such	such	ADJ
fcis-31264	123	40	as	as	ADP
fcis-31264	123	41	gene	gene	NOUN
fcis-31264	123	42	regulatory	regulatory	ADJ
fcis-31264	123	43	networks	network	NOUN
fcis-31264	123	44	(	(	PUNCT
fcis-31264	123	45	grns	grn	NOUN
fcis-31264	123	46	)	)	PUNCT
fcis-31264	123	47	and	and	CCONJ
fcis-31264	123	48	functional	functional	ADJ
fcis-31264	123	49	annotations	annotation	NOUN
fcis-31264	123	50	—	—	PUNCT
fcis-31264	123	51	into	into	ADP
fcis-31264	123	52	learnable	learnable	ADJ
fcis-31264	123	53	embedding	embed	VERB
fcis-31264	123	54	vectors	vector	NOUN
fcis-31264	123	55	.	.	PUNCT
fcis-31264	124	1	these	these	DET
fcis-31264	124	2	streams	stream	NOUN
fcis-31264	124	3	dynamically	dynamically	ADV
fcis-31264	124	4	interact	interact	VERB
fcis-31264	124	5	via	via	ADP
fcis-31264	124	6	an	an	DET
fcis-31264	124	7	attention	attention	NOUN
fcis-31264	124	8	mechanism	mechanism	NOUN
fcis-31264	124	9	,	,	PUNCT
fcis-31264	124	10	ensuring	ensure	VERB
fcis-31264	124	11	the	the	DET
fcis-31264	124	12	model	model	NOUN
fcis-31264	124	13	simultaneously	simultaneously	ADV
fcis-31264	124	14	incorporates	incorporate	VERB
fcis-31264	124	15	data	data	NOUN
fcis-31264	124	16	-	-	PUNCT
fcis-31264	124	17	driven	drive	VERB
fcis-31264	124	18	pattern	pattern	NOUN
fcis-31264	124	19	recognition	recognition	NOUN
fcis-31264	124	20	and	and	CCONJ
fcis-31264	124	21	biologically	biologically	ADV
fcis-31264	124	22	logical	logical	ADJ
fcis-31264	124	23	constraints	constraint	NOUN
fcis-31264	124	24	.	.	PUNCT
fcis-31264	125	1	secondly	secondly	ADV
fcis-31264	125	2	,	,	PUNCT
fcis-31264	125	3	the	the	DET
fcis-31264	125	4	novel	novel	ADJ
fcis-31264	125	5	mamba	mamba	NOUN
fcis-31264	125	6	encoder	encoder	NOUN
fcis-31264	125	7	,	,	PUNCT
fcis-31264	125	8	leveraging	leverage	VERB
fcis-31264	125	9	its	its	PRON
fcis-31264	125	10	unique	unique	ADJ
fcis-31264	125	11	linear	linear	ADJ
fcis-31264	125	12	-	-	PUNCT
fcis-31264	125	13	complexity	complexity	NOUN
fcis-31264	125	14	architecture	architecture	NOUN
fcis-31264	125	15	and	and	CCONJ
fcis-31264	125	16	dynamic	dynamic	ADJ
fcis-31264	125	17	attention	attention	NOUN
fcis-31264	125	18	mechanism	mechanism	NOUN
fcis-31264	125	19	,	,	PUNCT
fcis-31264	125	20	effectively	effectively	ADV
fcis-31264	125	21	overcomes	overcome	VERB
fcis-31264	125	22	the	the	DET
fcis-31264	125	23	efficiency	efficiency	NOUN
fcis-31264	125	24	bottleneck	bottleneck	NOUN
fcis-31264	125	25	of	of	ADP
fcis-31264	125	26	traditional	traditional	ADJ
fcis-31264	125	27	transformers	transformer	NOUN
fcis-31264	125	28	in	in	ADP
fcis-31264	125	29	long	long	ADJ
fcis-31264	125	30	-	-	PUNCT
fcis-31264	125	31	sequence	sequence	NOUN
fcis-31264	125	32	modeling	modeling	NOUN
fcis-31264	125	33	.	.	PUNCT
fcis-31264	126	1	this	this	DET
fcis-31264	126	2	encoder	encoder	NOUN
fcis-31264	126	3	not	not	PART
fcis-31264	126	4	only	only	ADV
fcis-31264	126	5	captures	capture	VERB
fcis-31264	126	6	long	long	ADJ
fcis-31264	126	7	-	-	PUNCT
fcis-31264	126	8	range	range	NOUN
fcis-31264	126	9	dependencies	dependency	NOUN
fcis-31264	126	10	within	within	ADP
fcis-31264	126	11	gene	gene	NOUN
fcis-31264	126	12	expression	expression	NOUN
fcis-31264	126	13	data	datum	NOUN
fcis-31264	126	14	but	but	CCONJ
fcis-31264	126	15	also	also	ADV
fcis-31264	126	16	adaptively	adaptively	ADV
fcis-31264	126	17	adjusts	adjust	VERB
fcis-31264	126	18	feature	feature	NOUN
fcis-31264	126	19	weights	weight	NOUN
fcis-31264	126	20	according	accord	VERB
fcis-31264	126	21	to	to	ADP
fcis-31264	126	22	different	different	ADJ
fcis-31264	126	23	perturbation	perturbation	NOUN
fcis-31264	126	24	contexts	contexts	NOUN
fcis-31264	126	25	.	.	PUNCT
fcis-31264	127	1	consequently	consequently	ADV
fcis-31264	127	2	,	,	PUNCT
fcis-31264	127	3	it	it	PRON
fcis-31264	127	4	precisely	precisely	ADV
fcis-31264	127	5	identifies	identify	VERB
fcis-31264	127	6	key	key	ADJ
fcis-31264	127	7	regulatory	regulatory	ADJ
fcis-31264	127	8	nodes	node	NOUN
fcis-31264	127	9	within	within	ADP
fcis-31264	127	10	complex	complex	ADJ
fcis-31264	127	11	gene	gene	NOUN
fcis-31264	127	12	regulatory	regulatory	ADJ
fcis-31264	127	13	networks	network	NOUN
fcis-31264	127	14	,	,	PUNCT
fcis-31264	127	15	significantly	significantly	ADV
fcis-31264	127	16	enhancing	enhance	VERB
fcis-31264	127	17	the	the	DET
fcis-31264	127	18	model	model	NOUN
fcis-31264	127	19	's	's	PART
fcis-31264	127	20	prediction	prediction	NOUN
fcis-31264	127	21	accuracy	accuracy	NOUN
fcis-31264	127	22	and	and	CCONJ
fcis-31264	127	23	robustness	robustness	NOUN
fcis-31264	127	24	.	.	PUNCT
fcis-31264	128	1	104	104	NUM
fcis-31264	128	2	figure	figure	NOUN
fcis-31264	128	3	4	4	NUM
fcis-31264	128	4	.	.	PUNCT
fcis-31264	128	5	distribution	distribution	NOUN
fcis-31264	128	6	of	of	ADP
fcis-31264	128	7	mean	mean	ADJ
fcis-31264	128	8	squared	square	VERB
fcis-31264	128	9	error	error	NOUN
fcis-31264	128	10	(	(	PUNCT
fcis-31264	128	11	mse	mse	NOUN
fcis-31264	128	12	)	)	PUNCT
fcis-31264	128	13	in	in	ADP
fcis-31264	128	14	gene	gene	NOUN
fcis-31264	128	15	perturbation	perturbation	NOUN
fcis-31264	128	16	response	response	NOUN
fcis-31264	128	17	prediction	prediction	NOUN
fcis-31264	128	18	.	.	PUNCT
fcis-31264	129	1	(	(	PUNCT
fcis-31264	129	2	a	a	X
fcis-31264	129	3	)	)	PUNCT
fcis-31264	129	4	noman	noman	NOUN
fcis-31264	129	5	dataset	dataset	NOUN
fcis-31264	129	6	(	(	PUNCT
fcis-31264	129	7	b	b	NOUN
fcis-31264	129	8	)	)	PUNCT
fcis-31264	129	9	k562	k562	PROPN
fcis-31264	129	10	dataset	dataset	NOUN
fcis-31264	129	11	(	(	PUNCT
fcis-31264	129	12	c	c	NOUN
fcis-31264	129	13	)	)	PUNCT
fcis-31264	129	14	rpe1	rpe1	NOUN
fcis-31264	129	15	dataset	dataset	VERB
fcis-31264	129	16	in	in	ADP
fcis-31264	129	17	this	this	DET
fcis-31264	129	18	paper	paper	NOUN
fcis-31264	129	19	,	,	PUNCT
fcis-31264	129	20	an	an	DET
fcis-31264	129	21	uncertainty	uncertainty	NOUN
fcis-31264	129	22	score	score	NOUN
fcis-31264	129	23	is	be	AUX
fcis-31264	129	24	adopted	adopt	VERB
fcis-31264	129	25	to	to	PART
fcis-31264	129	26	measure	measure	VERB
fcis-31264	129	27	the	the	DET
fcis-31264	129	28	confidence	confidence	NOUN
fcis-31264	129	29	level	level	NOUN
fcis-31264	129	30	of	of	ADP
fcis-31264	129	31	the	the	DET
fcis-31264	129	32	model	model	NOUN
fcis-31264	129	33	prediction	prediction	NOUN
fcis-31264	129	34	in	in	ADP
fcis-31264	129	35	new	new	ADJ
fcis-31264	129	36	disturbances	disturbance	NOUN
fcis-31264	129	37	.	.	PUNCT
fcis-31264	130	1	the	the	DET
fcis-31264	130	2	gaussian	gaussian	ADJ
fcis-31264	130	3	likelihood	likelihood	NOUN
fcis-31264	130	4	function	function	NOUN
fcis-31264	130	5	is	be	AUX
fcis-31264	130	6	adopted	adopt	VERB
fcis-31264	130	7	to	to	PART
fcis-31264	130	8	model	model	VERB
fcis-31264	130	9	the	the	DET
fcis-31264	130	10	gene	gene	NOUN
fcis-31264	130	11	expression	expression	NOUN
fcis-31264	130	12	values	value	NOUN
fcis-31264	130	13	under	under	ADP
fcis-31264	130	14	perturbation	perturbation	NOUN
fcis-31264	130	15	.	.	PUNCT
fcis-31264	131	1	meanwhile	meanwhile	ADV
fcis-31264	131	2	,	,	PUNCT
fcis-31264	131	3	an	an	DET
fcis-31264	131	4	additional	additional	ADJ
fcis-31264	131	5	gene	gene	NOUN
fcis-31264	131	6	-	-	PUNCT
fcis-31264	131	7	specific	specific	ADJ
fcis-31264	131	8	layer	layer	NOUN
fcis-31264	131	9	is	be	AUX
fcis-31264	131	10	added	add	VERB
fcis-31264	131	11	to	to	PART
fcis-31264	131	12	predict	predict	VERB
fcis-31264	131	13	the	the	DET
fcis-31264	131	14	logarithmic	logarithmic	ADJ
fcis-31264	131	15	variance	variance	NOUN
fcis-31264	131	16	term	term	NOUN
fcis-31264	131	17	(	(	PUNCT
fcis-31264	131	18	formula	formula	NOUN
fcis-31264	131	19	(	(	PUNCT
fcis-31264	131	20	8)	8)	NUM
fcis-31264	131	21	)	)	PUNCT
fcis-31264	131	22	,	,	PUNCT
fcis-31264	131	23	and	and	CCONJ
fcis-31264	131	24	the	the	DET
fcis-31264	131	25	uncertainty	uncertainty	NOUN
fcis-31264	131	26	score	score	NOUN
fcis-31264	131	27	of	of	ADP
fcis-31264	131	28	the	the	DET
fcis-31264	131	29	model	model	NOUN
fcis-31264	131	30	is	be	AUX
fcis-31264	131	31	modified	modify	VERB
fcis-31264	131	32	through	through	ADP
fcis-31264	131	33	the	the	DET
fcis-31264	131	34	modified	modify	VERB
fcis-31264	131	35	bayesian	bayesian	NOUN
fcis-31264	131	36	neural	neural	ADJ
fcis-31264	131	37	network	network	NOUN
fcis-31264	131	38	loss	loss	NOUN
fcis-31264	131	39	(	(	PUNCT
fcis-31264	131	40	formula	formula	NOUN
fcis-31264	131	41	(	(	PUNCT
fcis-31264	131	42	9	9	NUM
fcis-31264	131	43	)	)	PUNCT
fcis-31264	131	44	)	)	PUNCT
fcis-31264	132	1	[	[	X
fcis-31264	132	2	24	24	NUM
fcis-31264	132	3	]	]	PUNCT
fcis-31264	132	4	.	.	PUNCT
fcis-31264	133	1	2s	2s	PROPN
fcis-31264	133	2	log	log	PROPN
fcis-31264	133	3	unc	unc	PROPN
fcis-31264	133	4	unc	unc	PROPN
fcis-31264	133	5	post	post	PROPN
fcis-31264	133	6	pert	pert	PROPN
fcis-31264	133	7	u	u	PROPN
fcis-31264	133	8	u	u	PROPN
fcis-31264	133	9	u	u	NOUN
fcis-31264	133	10	uw	uw	PROPN
fcis-31264	133	11	h	h	PROPN
fcis-31264	133	12	b	b	PROPN
fcis-31264	133	13			PROPN
fcis-31264	133	14			PRON
fcis-31264	133	15			X
fcis-31264	133	16	(	(	PUNCT
fcis-31264	133	17	7	7	NUM
fcis-31264	133	18	)	)	PUNCT
fcis-31264	133	19	(	(	PUNCT
fcis-31264	133	20	2	2	X
fcis-31264	133	21	)	)	PUNCT
fcis-31264	133	22	1	1	NUM
fcis-31264	133	23	1	1	NUM
fcis-31264	133	24	1	1	NUM
fcis-31264	133	25	1	1	NUM
fcis-31264	133	26	1	1	NUM
fcis-31264	133	27	1	1	NUM
fcis-31264	133	28	l	l	NOUN
fcis-31264	133	29	exp	exp	NOUN
fcis-31264	133	30	(	(	PUNCT
fcis-31264	133	31	)	)	PUNCT
fcis-31264	133	32	(	(	PUNCT
fcis-31264	133	33	)	)	PUNCT
fcis-31264	133	34	ktt	ktt	PROPN
fcis-31264	133	35	k	k	PROPN
fcis-31264	133	36	y	y	PROPN
fcis-31264	133	37	unc	unc	PROPN
fcis-31264	133	38	u	u	PROPN
fcis-31264	133	39	u	u	NOUN
fcis-31264	133	40	u	u	NOUN
fcis-31264	133	41	k	k	PROPN
fcis-31264	133	42	l	l	PUNCT
fcis-31264	133	43	u	u	PROPN
fcis-31264	133	44	s	s	PROPN
fcis-31264	133	45	g	g	NOUN
fcis-31264	133	46	g	g	PROPN
fcis-31264	133	47	t	t	PROPN
fcis-31264	133	48	t	t	PROPN
fcis-31264	133	49	g	g	PROPN
fcis-31264	133	50			PROPN
fcis-31264	133	51			ADV
fcis-31264	134	1			PROPN
fcis-31264	134	2			NUM
fcis-31264	134	3			NUM
fcis-31264	135	1			PROPN
fcis-31264	135	2			PROPN
fcis-31264	135	3			PROPN
fcis-31264	135	4			X
fcis-31264	135	5			X
fcis-31264	135	6	(	(	PUNCT
fcis-31264	135	7	8)	8)	NUM
fcis-31264	135	8	figure	figure	NOUN
fcis-31264	135	9	5	5	NUM
fcis-31264	135	10	.	.	PUNCT
fcis-31264	135	11	distribution	distribution	NOUN
fcis-31264	135	12	of	of	ADP
fcis-31264	135	13	model	model	NOUN
fcis-31264	135	14	uncertainty	uncertainty	NOUN
fcis-31264	135	15	scores	score	VERB
fcis-31264	135	16	105	105	NUM
fcis-31264	135	17	the	the	DET
fcis-31264	135	18	distribution	distribution	NOUN
fcis-31264	135	19	of	of	ADP
fcis-31264	135	20	uncertainty	uncertainty	NOUN
fcis-31264	135	21	scores	score	NOUN
fcis-31264	135	22	for	for	ADP
fcis-31264	135	23	the	the	DET
fcis-31264	135	24	model	model	NOUN
fcis-31264	135	25	proposed	propose	VERB
fcis-31264	135	26	in	in	ADP
fcis-31264	135	27	this	this	DET
fcis-31264	135	28	paper	paper	NOUN
fcis-31264	135	29	is	be	AUX
fcis-31264	135	30	shown	show	VERB
fcis-31264	135	31	in	in	ADP
fcis-31264	135	32	figure	figure	NOUN
fcis-31264	135	33	5	5	NUM
fcis-31264	135	34	.	.	PUNCT
fcis-31264	135	35	analyzing	analyze	VERB
fcis-31264	135	36	this	this	DET
fcis-31264	135	37	figure	figure	NOUN
fcis-31264	135	38	shows	show	VERB
fcis-31264	135	39	that	that	SCONJ
fcis-31264	135	40	the	the	DET
fcis-31264	135	41	model	model	NOUN
fcis-31264	135	42	exhibits	exhibit	VERB
fcis-31264	135	43	a	a	DET
fcis-31264	135	44	low	low	ADJ
fcis-31264	135	45	level	level	NOUN
fcis-31264	135	46	of	of	ADP
fcis-31264	135	47	prediction	prediction	NOUN
fcis-31264	135	48	uncertainty	uncertainty	NOUN
fcis-31264	135	49	and	and	CCONJ
fcis-31264	135	50	a	a	DET
fcis-31264	135	51	significant	significant	ADJ
fcis-31264	135	52	correlation	correlation	NOUN
fcis-31264	135	53	between	between	ADP
fcis-31264	135	54	the	the	DET
fcis-31264	135	55	predicted	predict	VERB
fcis-31264	135	56	gene	gene	NOUN
fcis-31264	135	57	expression	expression	NOUN
fcis-31264	135	58	differences	difference	NOUN
fcis-31264	135	59	and	and	CCONJ
fcis-31264	135	60	the	the	DET
fcis-31264	135	61	actual	actual	ADJ
fcis-31264	135	62	values	value	NOUN
fcis-31264	135	63	.	.	PUNCT
fcis-31264	136	1	this	this	DET
fcis-31264	136	2	result	result	NOUN
fcis-31264	136	3	indicates	indicate	VERB
fcis-31264	136	4	that	that	SCONJ
fcis-31264	136	5	the	the	DET
fcis-31264	136	6	model	model	NOUN
fcis-31264	136	7	can	can	AUX
fcis-31264	136	8	not	not	PART
fcis-31264	136	9	only	only	ADV
fcis-31264	136	10	reliably	reliably	ADV
fcis-31264	136	11	predict	predict	VERB
fcis-31264	136	12	the	the	DET
fcis-31264	136	13	expression	expression	NOUN
fcis-31264	136	14	changes	change	NOUN
fcis-31264	136	15	after	after	ADP
fcis-31264	136	16	gene	gene	NOUN
fcis-31264	136	17	perturbation	perturbation	NOUN
fcis-31264	136	18	,	,	PUNCT
fcis-31264	136	19	but	but	CCONJ
fcis-31264	136	20	also	also	ADV
fcis-31264	136	21	effectively	effectively	ADV
fcis-31264	136	22	capture	capture	VERB
fcis-31264	136	23	the	the	DET
fcis-31264	136	24	complex	complex	ADJ
fcis-31264	136	25	dynamic	dynamic	ADJ
fcis-31264	136	26	features	feature	NOUN
fcis-31264	136	27	of	of	ADP
fcis-31264	136	28	gene	gene	NOUN
fcis-31264	136	29	interactions	interaction	NOUN
fcis-31264	136	30	,	,	PUNCT
fcis-31264	136	31	providing	provide	VERB
fcis-31264	136	32	an	an	DET
fcis-31264	136	33	analytical	analytical	ADJ
fcis-31264	136	34	tool	tool	NOUN
fcis-31264	136	35	with	with	ADP
fcis-31264	136	36	high	high	ADJ
fcis-31264	136	37	confidence	confidence	NOUN
fcis-31264	136	38	for	for	ADP
fcis-31264	136	39	the	the	DET
fcis-31264	136	40	precise	precise	ADJ
fcis-31264	136	41	resolution	resolution	NOUN
fcis-31264	136	42	of	of	ADP
fcis-31264	136	43	multi	multi	ADJ
fcis-31264	136	44	-	-	ADJ
fcis-31264	136	45	gene	gene	ADJ
fcis-31264	136	46	perturbation	perturbation	NOUN
fcis-31264	136	47	effects	effect	NOUN
fcis-31264	136	48	.	.	PUNCT
fcis-31264	137	1	in	in	ADP
fcis-31264	137	2	the	the	DET
fcis-31264	137	3	field	field	NOUN
fcis-31264	137	4	of	of	ADP
fcis-31264	137	5	disease	disease	NOUN
fcis-31264	137	6	research	research	NOUN
fcis-31264	137	7	,	,	PUNCT
fcis-31264	137	8	dynamic	dynamic	ADJ
fcis-31264	137	9	changes	change	NOUN
fcis-31264	137	10	in	in	ADP
fcis-31264	137	11	gene	gene	NOUN
fcis-31264	137	12	expression	expression	NOUN
fcis-31264	137	13	patterns	pattern	NOUN
fcis-31264	137	14	contain	contain	VERB
fcis-31264	137	15	rich	rich	ADJ
fcis-31264	137	16	information	information	NOUN
fcis-31264	137	17	,	,	PUNCT
fcis-31264	137	18	which	which	PRON
fcis-31264	137	19	can	can	AUX
fcis-31264	137	20	not	not	PART
fcis-31264	137	21	only	only	ADV
fcis-31264	137	22	provide	provide	VERB
fcis-31264	137	23	valuable	valuable	ADJ
fcis-31264	137	24	potential	potential	ADJ
fcis-31264	137	25	biomarkers	biomarker	NOUN
fcis-31264	137	26	for	for	ADP
fcis-31264	137	27	disease	disease	NOUN
fcis-31264	137	28	diagnosis	diagnosis	NOUN
fcis-31264	137	29	and	and	CCONJ
fcis-31264	137	30	prognosis	prognosis	NOUN
fcis-31264	137	31	assessment	assessment	NOUN
fcis-31264	137	32	,	,	PUNCT
fcis-31264	137	33	but	but	CCONJ
fcis-31264	137	34	also	also	ADV
fcis-31264	137	35	can	can	AUX
fcis-31264	137	36	be	be	AUX
fcis-31264	137	37	used	use	VERB
fcis-31264	137	38	to	to	PART
fcis-31264	137	39	identify	identify	VERB
fcis-31264	137	40	key	key	ADJ
fcis-31264	137	41	targets	target	NOUN
fcis-31264	137	42	for	for	ADP
fcis-31264	137	43	therapeutic	therapeutic	ADJ
fcis-31264	137	44	interventions	intervention	NOUN
fcis-31264	137	45	and	and	CCONJ
fcis-31264	137	46	drug	drug	NOUN
fcis-31264	137	47	discovery	discovery	NOUN
fcis-31264	137	48	by	by	ADP
fcis-31264	137	49	screening	screen	VERB
fcis-31264	137	50	for	for	ADP
fcis-31264	137	51	genes	gene	NOUN
fcis-31264	137	52	with	with	ADP
fcis-31264	137	53	significantly	significantly	ADV
fcis-31264	137	54	altered	altered	ADJ
fcis-31264	137	55	expression	expression	NOUN
fcis-31264	137	56	levels	level	NOUN
fcis-31264	137	57	.	.	PUNCT
fcis-31264	138	1	in	in	ADP
fcis-31264	138	2	order	order	NOUN
fcis-31264	138	3	to	to	PART
fcis-31264	138	4	explore	explore	VERB
fcis-31264	138	5	the	the	DET
fcis-31264	138	6	response	response	NOUN
fcis-31264	138	7	mechanism	mechanism	NOUN
fcis-31264	138	8	of	of	ADP
fcis-31264	138	9	individual	individual	ADJ
fcis-31264	138	10	genes	gene	NOUN
fcis-31264	138	11	under	under	ADP
fcis-31264	138	12	different	different	ADJ
fcis-31264	138	13	perturbation	perturbation	NOUN
fcis-31264	138	14	scenarios	scenario	NOUN
fcis-31264	138	15	,	,	PUNCT
fcis-31264	138	16	this	this	DET
fcis-31264	138	17	study	study	NOUN
fcis-31264	138	18	analyzed	analyze	VERB
fcis-31264	138	19	the	the	DET
fcis-31264	138	20	prediction	prediction	NOUN
fcis-31264	138	21	of	of	ADP
fcis-31264	138	22	perturbation	perturbation	NOUN
fcis-31264	138	23	results	result	NOUN
fcis-31264	138	24	for	for	ADP
fcis-31264	138	25	three	three	NUM
fcis-31264	138	26	typical	typical	ADJ
fcis-31264	138	27	gene	gene	NOUN
fcis-31264	138	28	combinations	combination	NOUN
fcis-31264	138	29	,	,	PUNCT
fcis-31264	138	30	which	which	PRON
fcis-31264	138	31	correspond	correspond	VERB
fcis-31264	138	32	to	to	ADP
fcis-31264	138	33	different	different	ADJ
fcis-31264	138	34	levels	level	NOUN
fcis-31264	138	35	of	of	ADP
fcis-31264	138	36	visibility	visibility	NOUN
fcis-31264	138	37	in	in	ADP
fcis-31264	138	38	the	the	DET
fcis-31264	138	39	training	training	NOUN
fcis-31264	138	40	set	set	NOUN
fcis-31264	138	41	:	:	PUNCT
fcis-31264	138	42	double	double	ADJ
fcis-31264	138	43	-	-	PUNCT
fcis-31264	138	44	visible	visible	ADJ
fcis-31264	138	45	gene	gene	NOUN
fcis-31264	138	46	combinations	combination	NOUN
fcis-31264	138	47	(	(	PUNCT
fcis-31264	138	48	both	both	DET
fcis-31264	138	49	genes	gene	NOUN
fcis-31264	138	50	present	present	ADJ
fcis-31264	138	51	in	in	ADP
fcis-31264	138	52	the	the	DET
fcis-31264	138	53	training	training	NOUN
fcis-31264	138	54	process	process	NOUN
fcis-31264	138	55	)	)	PUNCT
fcis-31264	138	56	,	,	PUNCT
fcis-31264	138	57	single	single	ADJ
fcis-31264	138	58	-	-	PUNCT
fcis-31264	138	59	visible	visible	ADJ
fcis-31264	138	60	gene	gene	NOUN
fcis-31264	138	61	combinations	combination	NOUN
fcis-31264	138	62	(	(	PUNCT
fcis-31264	138	63	only	only	ADV
fcis-31264	138	64	one	one	NUM
fcis-31264	138	65	gene	gene	NOUN
fcis-31264	138	66	present	present	ADJ
fcis-31264	138	67	in	in	ADP
fcis-31264	138	68	the	the	DET
fcis-31264	138	69	training	training	NOUN
fcis-31264	138	70	data	datum	NOUN
fcis-31264	138	71	)	)	PUNCT
fcis-31264	138	72	,	,	PUNCT
fcis-31264	138	73	and	and	CCONJ
fcis-31264	138	74	zero	zero	NUM
fcis-31264	138	75	-	-	PUNCT
fcis-31264	138	76	visible	visible	ADJ
fcis-31264	138	77	gene	gene	NOUN
fcis-31264	138	78	combinations	combination	NOUN
fcis-31264	138	79	(	(	PUNCT
fcis-31264	138	80	both	both	DET
fcis-31264	138	81	genes	gene	NOUN
fcis-31264	138	82	absent	absent	ADJ
fcis-31264	138	83	in	in	ADP
fcis-31264	138	84	the	the	DET
fcis-31264	138	85	training	training	NOUN
fcis-31264	138	86	data	datum	NOUN
fcis-31264	138	87	)	)	PUNCT
fcis-31264	138	88	.	.	PUNCT
fcis-31264	139	1	training	training	NOUN
fcis-31264	139	2	data	datum	NOUN
fcis-31264	139	3	exist	exist	VERB
fcis-31264	139	4	)	)	PUNCT
fcis-31264	139	5	.	.	PUNCT
fcis-31264	140	1	taking	take	VERB
fcis-31264	140	2	specific	specific	ADJ
fcis-31264	140	3	experiments	experiment	NOUN
fcis-31264	140	4	as	as	ADP
fcis-31264	140	5	an	an	DET
fcis-31264	140	6	example	example	NOUN
fcis-31264	140	7	,	,	PUNCT
fcis-31264	140	8	the	the	DET
fcis-31264	140	9	ets2	ets2	NOUN
fcis-31264	140	10	and	and	CCONJ
fcis-31264	140	11	cebpe	cebpe	PROPN
fcis-31264	140	12	gene	gene	NOUN
fcis-31264	140	13	combination	combination	NOUN
fcis-31264	140	14	belongs	belong	VERB
fcis-31264	140	15	to	to	ADP
fcis-31264	140	16	the	the	DET
fcis-31264	140	17	doublevisible	doublevisible	ADJ
fcis-31264	140	18	type	type	NOUN
fcis-31264	140	19	,	,	PUNCT
fcis-31264	140	20	and	and	CCONJ
fcis-31264	140	21	the	the	DET
fcis-31264	140	22	complete	complete	ADJ
fcis-31264	140	23	perturbation	perturbation	NOUN
fcis-31264	140	24	data	datum	NOUN
fcis-31264	140	25	of	of	ADP
fcis-31264	140	26	both	both	DET
fcis-31264	140	27	genes	gene	NOUN
fcis-31264	140	28	can	can	AUX
fcis-31264	140	29	be	be	AUX
fcis-31264	140	30	obtained	obtain	VERB
fcis-31264	140	31	during	during	ADP
fcis-31264	140	32	the	the	DET
fcis-31264	140	33	training	training	NOUN
fcis-31264	140	34	period	period	NOUN
fcis-31264	140	35	;	;	PUNCT
fcis-31264	140	36	the	the	DET
fcis-31264	140	37	fosb	fosb	NOUN
fcis-31264	140	38	and	and	CCONJ
fcis-31264	140	39	cebpb	cebpb	NOUN
fcis-31264	140	40	combination	combination	NOUN
fcis-31264	140	41	is	be	AUX
fcis-31264	140	42	of	of	ADP
fcis-31264	140	43	the	the	DET
fcis-31264	140	44	single	single	ADJ
fcis-31264	140	45	-	-	PUNCT
fcis-31264	140	46	visible	visible	ADJ
fcis-31264	140	47	type	type	NOUN
fcis-31264	140	48	,	,	PUNCT
fcis-31264	140	49	in	in	ADP
fcis-31264	140	50	which	which	PRON
fcis-31264	140	51	cebpb	cebpb	NOUN
fcis-31264	140	52	did	do	AUX
fcis-31264	140	53	not	not	PART
fcis-31264	140	54	experience	experience	VERB
fcis-31264	140	55	experimental	experimental	ADJ
fcis-31264	140	56	perturbation	perturbation	NOUN
fcis-31264	140	57	during	during	ADP
fcis-31264	140	58	the	the	DET
fcis-31264	140	59	training	training	NOUN
fcis-31264	140	60	phase	phase	NOUN
fcis-31264	140	61	;	;	PUNCT
fcis-31264	140	62	and	and	CCONJ
fcis-31264	140	63	the	the	DET
fcis-31264	140	64	foxl2	foxl2	PROPN
fcis-31264	140	65	and	and	CCONJ
fcis-31264	140	66	meis1	meis1	NOUN
fcis-31264	140	67	combination	combination	NOUN
fcis-31264	140	68	is	be	AUX
fcis-31264	140	69	in	in	ADP
fcis-31264	140	70	zero	zero	NUM
fcis-31264	140	71	-	-	PUNCT
fcis-31264	140	72	visible	visible	ADJ
fcis-31264	140	73	status	status	NOUN
fcis-31264	140	74	,	,	PUNCT
fcis-31264	140	75	and	and	CCONJ
fcis-31264	140	76	the	the	DET
fcis-31264	140	77	data	datum	NOUN
fcis-31264	140	78	related	relate	VERB
fcis-31264	140	79	to	to	ADP
fcis-31264	140	80	both	both	DET
fcis-31264	140	81	genes	gene	NOUN
fcis-31264	140	82	are	be	AUX
fcis-31264	140	83	completely	completely	ADV
fcis-31264	140	84	lacking	lacking	ADJ
fcis-31264	140	85	during	during	ADP
fcis-31264	140	86	the	the	DET
fcis-31264	140	87	training	training	NOUN
fcis-31264	140	88	process	process	NOUN
fcis-31264	140	89	[	[	X
fcis-31264	140	90	25][26	25][26	NUM
fcis-31264	140	91	]	]	X
fcis-31264	140	92	.	.	PUNCT
fcis-31264	141	1	as	as	SCONJ
fcis-31264	141	2	shown	show	VERB
fcis-31264	141	3	in	in	ADP
fcis-31264	141	4	figure	figure	NOUN
fcis-31264	141	5	6	6	NUM
fcis-31264	141	6	,	,	PUNCT
fcis-31264	141	7	the	the	DET
fcis-31264	141	8	dual	dual	ADJ
fcis-31264	141	9	-	-	PUNCT
fcis-31264	141	10	stream	stream	NOUN
fcis-31264	141	11	model	model	NOUN
fcis-31264	141	12	proposed	propose	VERB
fcis-31264	141	13	in	in	ADP
fcis-31264	141	14	this	this	DET
fcis-31264	141	15	study	study	NOUN
fcis-31264	141	16	demonstrated	demonstrate	VERB
fcis-31264	141	17	outstanding	outstanding	ADJ
fcis-31264	141	18	performance	performance	NOUN
fcis-31264	141	19	in	in	ADP
fcis-31264	141	20	all	all	DET
fcis-31264	141	21	three	three	NUM
fcis-31264	141	22	complex	complex	ADJ
fcis-31264	141	23	perturbation	perturbation	NOUN
fcis-31264	141	24	scenarios	scenario	NOUN
fcis-31264	141	25	,	,	PUNCT
fcis-31264	141	26	achieving	achieve	VERB
fcis-31264	141	27	accurate	accurate	ADJ
fcis-31264	141	28	and	and	CCONJ
fcis-31264	141	29	stable	stable	ADJ
fcis-31264	141	30	prediction	prediction	NOUN
fcis-31264	141	31	of	of	ADP
fcis-31264	141	32	the	the	DET
fcis-31264	141	33	expression	expression	NOUN
fcis-31264	141	34	level	level	NOUN
fcis-31264	141	35	of	of	ADP
fcis-31264	141	36	genes	gene	NOUN
fcis-31264	141	37	after	after	ADP
fcis-31264	141	38	perturbation	perturbation	NOUN
fcis-31264	141	39	.	.	PUNCT
fcis-31264	142	1	this	this	DET
fcis-31264	142	2	model	model	NOUN
fcis-31264	142	3	not	not	PART
fcis-31264	142	4	only	only	ADV
fcis-31264	142	5	performs	perform	VERB
fcis-31264	142	6	excellently	excellently	ADV
fcis-31264	142	7	in	in	ADP
fcis-31264	142	8	the	the	DET
fcis-31264	142	9	analysis	analysis	NOUN
fcis-31264	142	10	of	of	ADP
fcis-31264	142	11	multi	multi	ADJ
fcis-31264	142	12	-	-	ADJ
fcis-31264	142	13	gene	gene	ADJ
fcis-31264	142	14	interactions	interaction	NOUN
fcis-31264	142	15	,	,	PUNCT
fcis-31264	142	16	but	but	CCONJ
fcis-31264	142	17	also	also	ADV
fcis-31264	142	18	the	the	DET
fcis-31264	142	19	high	high	ADJ
fcis-31264	142	20	correlation	correlation	NOUN
fcis-31264	142	21	between	between	ADP
fcis-31264	142	22	its	its	PRON
fcis-31264	142	23	prediction	prediction	NOUN
fcis-31264	142	24	results	result	NOUN
fcis-31264	142	25	and	and	CCONJ
fcis-31264	142	26	the	the	DET
fcis-31264	142	27	real	real	ADJ
fcis-31264	142	28	data	datum	NOUN
fcis-31264	142	29	fully	fully	ADV
fcis-31264	142	30	confirms	confirm	VERB
fcis-31264	142	31	the	the	DET
fcis-31264	142	32	robustness	robustness	NOUN
fcis-31264	142	33	and	and	CCONJ
fcis-31264	142	34	reliability	reliability	NOUN
fcis-31264	142	35	of	of	ADP
fcis-31264	142	36	the	the	DET
fcis-31264	142	37	model	model	NOUN
fcis-31264	142	38	when	when	SCONJ
fcis-31264	142	39	capturing	capture	VERB
fcis-31264	142	40	the	the	DET
fcis-31264	142	41	complex	complex	ADJ
fcis-31264	142	42	mechanism	mechanism	NOUN
fcis-31264	142	43	of	of	ADP
fcis-31264	142	44	gene	gene	NOUN
fcis-31264	142	45	disturbances	disturbance	NOUN
fcis-31264	142	46	.	.	PUNCT
fcis-31264	143	1	figure	figure	NOUN
fcis-31264	143	2	6	6	NUM
fcis-31264	143	3	.	.	PUNCT
fcis-31264	144	1	distribution	distribution	NOUN
fcis-31264	144	2	of	of	ADP
fcis-31264	144	3	gene	gene	NOUN
fcis-31264	144	4	expression	expression	NOUN
fcis-31264	144	5	levels	level	NOUN
fcis-31264	144	6	under	under	ADP
fcis-31264	144	7	dual	dual	ADJ
fcis-31264	144	8	-	-	PUNCT
fcis-31264	144	9	gene	gene	NOUN
fcis-31264	144	10	perturbation	perturbation	NOUN
fcis-31264	144	11	.	.	PUNCT
fcis-31264	145	1	(	(	PUNCT
fcis-31264	145	2	a	a	X
fcis-31264	145	3	)	)	PUNCT
fcis-31264	145	4	ets2	ets2	NOUN
fcis-31264	145	5	and	and	CCONJ
fcis-31264	145	6	cebpe	cebpe	PROPN
fcis-31264	145	7	(	(	PUNCT
fcis-31264	145	8	b	b	NOUN
fcis-31264	145	9	)	)	PUNCT
fcis-31264	145	10	posb	posb	NOUN
fcis-31264	145	11	and	and	CCONJ
fcis-31264	145	12	cebpb	cebpb	NOUN
fcis-31264	145	13	(	(	PUNCT
fcis-31264	145	14	c	c	NOUN
fcis-31264	145	15	)	)	PUNCT
fcis-31264	145	16	foxl2	foxl2	NOUN
fcis-31264	145	17	and	and	CCONJ
fcis-31264	145	18	meis1	meis1	NOUN
fcis-31264	145	19	106	106	NUM
fcis-31264	145	20	4	4	NUM
fcis-31264	145	21	.	.	PUNCT
fcis-31264	146	1	conclusion	conclusion	NOUN
fcis-31264	146	2	this	this	DET
fcis-31264	146	3	study	study	NOUN
fcis-31264	146	4	innovatively	innovatively	ADV
fcis-31264	146	5	constructed	construct	VERB
fcis-31264	146	6	a	a	DET
fcis-31264	146	7	two	two	NUM
fcis-31264	146	8	-	-	PUNCT
fcis-31264	146	9	stream	stream	NOUN
fcis-31264	146	10	deep	deep	ADJ
fcis-31264	146	11	learning	learning	NOUN
fcis-31264	146	12	framework	framework	NOUN
fcis-31264	146	13	based	base	VERB
fcis-31264	146	14	on	on	ADP
fcis-31264	146	15	the	the	DET
fcis-31264	146	16	mamba	mamba	PROPN
fcis-31264	146	17	state	state	PROPN
fcis-31264	146	18	space	space	NOUN
fcis-31264	146	19	model	model	NOUN
fcis-31264	146	20	,	,	PUNCT
fcis-31264	146	21	achieving	achieve	VERB
fcis-31264	146	22	precise	precise	ADJ
fcis-31264	146	23	prediction	prediction	NOUN
fcis-31264	146	24	of	of	ADP
fcis-31264	146	25	multi	multi	ADJ
fcis-31264	146	26	-	-	ADJ
fcis-31264	146	27	gene	gene	ADJ
fcis-31264	146	28	perturbation	perturbation	NOUN
fcis-31264	146	29	responses	response	NOUN
fcis-31264	146	30	.	.	PUNCT
fcis-31264	147	1	this	this	DET
fcis-31264	147	2	architecture	architecture	NOUN
fcis-31264	147	3	analyzes	analyze	VERB
fcis-31264	147	4	the	the	DET
fcis-31264	147	5	statistical	statistical	ADJ
fcis-31264	147	6	patterns	pattern	NOUN
fcis-31264	147	7	of	of	ADP
fcis-31264	147	8	gene	gene	NOUN
fcis-31264	147	9	expression	expression	NOUN
fcis-31264	147	10	profiles	profile	NOUN
fcis-31264	147	11	through	through	ADP
fcis-31264	147	12	data	data	NOUN
fcis-31264	147	13	-	-	PUNCT
fcis-31264	147	14	driven	drive	VERB
fcis-31264	147	15	streams	stream	NOUN
fcis-31264	147	16	.	.	PUNCT
fcis-31264	148	1	meanwhile	meanwhile	ADV
fcis-31264	148	2	,	,	PUNCT
fcis-31264	148	3	it	it	PRON
fcis-31264	148	4	integrates	integrate	VERB
fcis-31264	148	5	biological	biological	ADJ
fcis-31264	148	6	prior	prior	ADJ
fcis-31264	148	7	knowledge	knowledge	NOUN
fcis-31264	148	8	such	such	ADJ
fcis-31264	148	9	as	as	ADP
fcis-31264	148	10	the	the	DET
fcis-31264	148	11	reactome	reactome	NOUN
fcis-31264	148	12	pathway	pathway	NOUN
fcis-31264	148	13	database	database	NOUN
fcis-31264	148	14	and	and	CCONJ
fcis-31264	148	15	gene	gene	NOUN
fcis-31264	148	16	ontology	ontology	NOUN
fcis-31264	148	17	(	(	PUNCT
fcis-31264	148	18	go	go	VERB
fcis-31264	148	19	)	)	PUNCT
fcis-31264	148	20	functional	functional	ADJ
fcis-31264	148	21	annotations	annotation	NOUN
fcis-31264	148	22	with	with	ADP
fcis-31264	148	23	the	the	DET
fcis-31264	148	24	aid	aid	NOUN
fcis-31264	148	25	of	of	ADP
fcis-31264	148	26	knowledge	knowledge	NOUN
fcis-31264	148	27	-	-	PUNCT
fcis-31264	148	28	driven	drive	VERB
fcis-31264	148	29	streams	stream	NOUN
fcis-31264	148	30	.	.	PUNCT
fcis-31264	149	1	moreover	moreover	ADV
fcis-31264	149	2	,	,	PUNCT
fcis-31264	149	3	it	it	PRON
fcis-31264	149	4	adopts	adopt	VERB
fcis-31264	149	5	a	a	DET
fcis-31264	149	6	dynamic	dynamic	ADJ
fcis-31264	149	7	cross	cross	ADJ
fcis-31264	149	8	-	-	ADJ
fcis-31264	149	9	modal	modal	ADJ
fcis-31264	149	10	attention	attention	NOUN
fcis-31264	149	11	mechanism	mechanism	NOUN
fcis-31264	149	12	to	to	PART
fcis-31264	149	13	achieve	achieve	VERB
fcis-31264	149	14	adaptive	adaptive	ADJ
fcis-31264	149	15	fusion	fusion	NOUN
fcis-31264	149	16	of	of	ADP
fcis-31264	149	17	heterogeneous	heterogeneous	ADJ
fcis-31264	149	18	information	information	NOUN
fcis-31264	149	19	,	,	PUNCT
fcis-31264	149	20	effectively	effectively	ADV
fcis-31264	149	21	overcoming	overcome	VERB
fcis-31264	149	22	the	the	DET
fcis-31264	149	23	limitations	limitation	NOUN
fcis-31264	149	24	of	of	ADP
fcis-31264	149	25	modeling	modeling	NOUN
fcis-31264	149	26	based	base	VERB
fcis-31264	149	27	on	on	ADP
fcis-31264	149	28	a	a	DET
fcis-31264	149	29	single	single	ADJ
fcis-31264	149	30	data	datum	NOUN
fcis-31264	149	31	source	source	NOUN
fcis-31264	149	32	or	or	CCONJ
fcis-31264	149	33	knowledge	knowledge	NOUN
fcis-31264	149	34	-	-	PUNCT
fcis-31264	149	35	driven	drive	VERB
fcis-31264	149	36	approaches	approach	NOUN
fcis-31264	149	37	.	.	PUNCT
fcis-31264	150	1	the	the	DET
fcis-31264	150	2	core	core	NOUN
fcis-31264	150	3	mamba	mamba	NOUN
fcis-31264	150	4	module	module	NOUN
fcis-31264	150	5	accurately	accurately	ADV
fcis-31264	150	6	models	model	VERB
fcis-31264	150	7	the	the	DET
fcis-31264	150	8	long	long	ADJ
fcis-31264	150	9	-	-	PUNCT
fcis-31264	150	10	range	range	NOUN
fcis-31264	150	11	interaction	interaction	NOUN
fcis-31264	150	12	relationship	relationship	NOUN
fcis-31264	150	13	between	between	ADP
fcis-31264	150	14	genes	gene	NOUN
fcis-31264	150	15	while	while	SCONJ
fcis-31264	150	16	ensuring	ensure	VERB
fcis-31264	150	17	the	the	DET
fcis-31264	150	18	operational	operational	ADJ
fcis-31264	150	19	efficiency	efficiency	NOUN
fcis-31264	150	20	through	through	ADP
fcis-31264	150	21	its	its	PRON
fcis-31264	150	22	linear	linear	ADJ
fcis-31264	150	23	computational	computational	ADJ
fcis-31264	150	24	complexity	complexity	NOUN
fcis-31264	150	25	and	and	CCONJ
fcis-31264	150	26	selective	selective	ADJ
fcis-31264	150	27	memory	memory	NOUN
fcis-31264	150	28	mechanism	mechanism	NOUN
fcis-31264	150	29	.	.	PUNCT
fcis-31264	151	1	its	its	PRON
fcis-31264	151	2	input	input	NOUN
fcis-31264	151	3	-	-	PUNCT
fcis-31264	151	4	dependent	dependent	ADJ
fcis-31264	151	5	parameterization	parameterization	NOUN
fcis-31264	151	6	strategy	strategy	NOUN
fcis-31264	151	7	significantly	significantly	ADV
fcis-31264	151	8	enhances	enhance	VERB
fcis-31264	151	9	the	the	DET
fcis-31264	151	10	extraction	extraction	NOUN
fcis-31264	151	11	ability	ability	NOUN
fcis-31264	151	12	of	of	ADP
fcis-31264	151	13	complex	complex	ADJ
fcis-31264	151	14	biological	biological	ADJ
fcis-31264	151	15	characteristics	characteristic	NOUN
fcis-31264	151	16	.	.	PUNCT
fcis-31264	152	1	although	although	SCONJ
fcis-31264	152	2	the	the	DET
fcis-31264	152	3	dual	dual	ADJ
fcis-31264	152	4	-	-	PUNCT
fcis-31264	152	5	stream	stream	NOUN
fcis-31264	152	6	mamba	mamba	NOUN
fcis-31264	152	7	framework	framework	NOUN
fcis-31264	152	8	demonstrates	demonstrate	VERB
fcis-31264	152	9	superior	superior	ADJ
fcis-31264	152	10	performance	performance	NOUN
fcis-31264	152	11	in	in	ADP
fcis-31264	152	12	the	the	DET
fcis-31264	152	13	prediction	prediction	NOUN
fcis-31264	152	14	of	of	ADP
fcis-31264	152	15	multigene	multigene	ADJ
fcis-31264	152	16	perturbations	perturbation	NOUN
fcis-31264	152	17	,	,	PUNCT
fcis-31264	152	18	it	it	PRON
fcis-31264	152	19	is	be	AUX
fcis-31264	152	20	still	still	ADV
fcis-31264	152	21	limited	limit	VERB
fcis-31264	152	22	by	by	ADP
fcis-31264	152	23	the	the	DET
fcis-31264	152	24	inherent	inherent	ADJ
fcis-31264	152	25	complexity	complexity	NOUN
fcis-31264	152	26	of	of	ADP
fcis-31264	152	27	biological	biological	ADJ
fcis-31264	152	28	systems	system	NOUN
fcis-31264	152	29	when	when	SCONJ
fcis-31264	152	30	dealing	deal	VERB
fcis-31264	152	31	with	with	ADP
fcis-31264	152	32	ultrahigh	ultrahigh	ADV
fcis-31264	152	33	-	-	PUNCT
fcis-31264	152	34	dimensional	dimensional	ADJ
fcis-31264	152	35	combined	combined	ADJ
fcis-31264	152	36	perturbations	perturbation	NOUN
fcis-31264	152	37	.	.	PUNCT
fcis-31264	153	1	future	future	ADJ
fcis-31264	153	2	improvements	improvement	NOUN
fcis-31264	153	3	should	should	AUX
fcis-31264	153	4	focus	focus	VERB
fcis-31264	153	5	on	on	ADP
fcis-31264	153	6	three	three	NUM
fcis-31264	153	7	strategic	strategic	ADJ
fcis-31264	153	8	directions	direction	NOUN
fcis-31264	153	9	:	:	PUNCT
fcis-31264	153	10	(	(	PUNCT
fcis-31264	153	11	1	1	X
fcis-31264	153	12	)	)	PUNCT
fcis-31264	153	13	systematically	systematically	ADV
fcis-31264	153	14	integrate	integrate	VERB
fcis-31264	153	15	multi	multi	NOUN
fcis-31264	153	16	-	-	ADJ
fcis-31264	153	17	omics	omics	ADJ
fcis-31264	153	18	features	feature	VERB
fcis-31264	153	19	such	such	ADJ
fcis-31264	153	20	as	as	ADP
fcis-31264	153	21	chromatin	chromatin	NOUN
fcis-31264	153	22	accessibility	accessibility	NOUN
fcis-31264	153	23	and	and	CCONJ
fcis-31264	153	24	protein	protein	NOUN
fcis-31264	153	25	interaction	interaction	NOUN
fcis-31264	153	26	networks	network	NOUN
fcis-31264	153	27	to	to	PART
fcis-31264	153	28	construct	construct	VERB
fcis-31264	153	29	a	a	DET
fcis-31264	153	30	panoramic	panoramic	ADJ
fcis-31264	153	31	gene	gene	NOUN
fcis-31264	153	32	regulation	regulation	NOUN
fcis-31264	153	33	map	map	NOUN
fcis-31264	153	34	;	;	PUNCT
fcis-31264	153	35	(	(	PUNCT
fcis-31264	153	36	2	2	X
fcis-31264	153	37	)	)	PUNCT
fcis-31264	153	38	develop	develop	VERB
fcis-31264	153	39	dynamic	dynamic	ADJ
fcis-31264	153	40	priority	priority	NOUN
fcis-31264	153	41	learning	learn	VERB
fcis-31264	153	42	mechanisms	mechanism	NOUN
fcis-31264	153	43	for	for	ADP
fcis-31264	153	44	key	key	ADJ
fcis-31264	153	45	biological	biological	ADJ
fcis-31264	153	46	pathways	pathway	NOUN
fcis-31264	153	47	;	;	PUNCT
fcis-31264	153	48	(	(	PUNCT
fcis-31264	153	49	3	3	X
fcis-31264	153	50	)	)	PUNCT
fcis-31264	153	51	establish	establish	VERB
fcis-31264	153	52	an	an	DET
fcis-31264	153	53	uncertainty	uncertainty	NOUN
fcis-31264	153	54	quantification	quantification	NOUN
fcis-31264	153	55	framework	framework	NOUN
fcis-31264	153	56	to	to	PART
fcis-31264	153	57	enhance	enhance	VERB
fcis-31264	153	58	the	the	DET
fcis-31264	153	59	interpretability	interpretability	NOUN
fcis-31264	153	60	of	of	ADP
fcis-31264	153	61	the	the	DET
fcis-31264	153	62	model	model	NOUN
fcis-31264	153	63	in	in	ADP
fcis-31264	153	64	clinical	clinical	ADJ
fcis-31264	153	65	transformation	transformation	NOUN
fcis-31264	153	66	scenarios	scenario	NOUN
fcis-31264	153	67	.	.	PUNCT
fcis-31264	154	1	these	these	DET
fcis-31264	154	2	technological	technological	ADJ
fcis-31264	154	3	breakthroughs	breakthrough	NOUN
fcis-31264	154	4	will	will	AUX
fcis-31264	154	5	drive	drive	VERB
fcis-31264	154	6	the	the	DET
fcis-31264	154	7	next	next	ADJ
fcis-31264	154	8	generation	generation	NOUN
fcis-31264	154	9	of	of	ADP
fcis-31264	154	10	algorithms	algorithm	NOUN
fcis-31264	154	11	to	to	PART
fcis-31264	154	12	solve	solve	VERB
fcis-31264	154	13	more	more	ADV
fcis-31264	154	14	complex	complex	ADJ
fcis-31264	154	15	gene	gene	NOUN
fcis-31264	154	16	regulation	regulation	NOUN
fcis-31264	154	17	problems	problem	NOUN
fcis-31264	154	18	in	in	ADP
fcis-31264	154	19	precision	precision	NOUN
fcis-31264	154	20	medicine	medicine	NOUN
fcis-31264	154	21	.	.	PUNCT
fcis-31264	155	1	references	reference	NOUN
fcis-31264	155	2	[	[	X
fcis-31264	155	3	1	1	NUM
fcis-31264	155	4	]	]	X
fcis-31264	155	5	jaitin	jaitin	NOUN
fcis-31264	155	6	,	,	PUNCT
fcis-31264	155	7	d.a	d.a	PROPN
fcis-31264	155	8	.	.	PROPN
fcis-31264	155	9	,	,	PUNCT
fcis-31264	155	10	weiner	weiner	NOUN
fcis-31264	155	11	,	,	PUNCT
fcis-31264	155	12	a.	a.	NOUN
fcis-31264	155	13	,	,	PUNCT
fcis-31264	155	14	yofe	yofe	NOUN
fcis-31264	155	15	,	,	PUNCT
fcis-31264	155	16	i.	i.	NOUN
fcis-31264	155	17	,	,	PUNCT
fcis-31264	155	18	lara	lara	NOUN
fcis-31264	155	19	-	-	PUNCT
fcis-31264	155	20	astiaso	astiaso	NOUN
fcis-31264	155	21	,	,	PUNCT
fcis-31264	155	22	d.	d.	PROPN
fcis-31264	155	23	,	,	PUNCT
fcis-31264	155	24	kerenshaul	kerenshaul	PROPN
fcis-31264	155	25	,	,	PUNCT
fcis-31264	155	26	h.	h.	PROPN
fcis-31264	155	27	,	,	PUNCT
fcis-31264	155	28	david	david	PROPN
fcis-31264	155	29	,	,	PUNCT
fcis-31264	155	30	e.	e.	PROPN
fcis-31264	155	31	,	,	PUNCT
fcis-31264	155	32	et	et	PROPN
fcis-31264	155	33	al	al	PROPN
fcis-31264	155	34	.	.	PUNCT
fcis-31264	156	1	(	(	PUNCT
fcis-31264	156	2	2016	2016	NUM
fcis-31264	156	3	)	)	PUNCT
fcis-31264	156	4	dissecting	dissect	VERB
fcis-31264	156	5	immune	immune	ADJ
fcis-31264	156	6	circuits	circuit	NOUN
fcis-31264	156	7	by	by	ADP
fcis-31264	156	8	linking	link	VERB
fcis-31264	156	9	crispr	crispr	NOUN
fcis-31264	156	10	-	-	PUNCT
fcis-31264	156	11	pooled	pool	VERB
fcis-31264	156	12	screens	screen	NOUN
fcis-31264	156	13	with	with	ADP
fcis-31264	156	14	single	single	ADJ
fcis-31264	156	15	-	-	PUNCT
fcis-31264	156	16	cell	cell	NOUN
fcis-31264	156	17	rna	rna	NOUN
fcis-31264	156	18	-	-	PUNCT
fcis-31264	156	19	seq	seq	NOUN
fcis-31264	156	20	.	.	PUNCT
fcis-31264	157	1	cell	cell	NOUN
fcis-31264	157	2	,	,	PUNCT
fcis-31264	157	3	167	167	NUM
fcis-31264	157	4	,	,	PUNCT
fcis-31264	157	5	1883	1883	NUM
fcis-31264	157	6	-	-	SYM
fcis-31264	157	7	1896.e15	1896.e15	NUM
fcis-31264	157	8	.	.	PUNCT
fcis-31264	158	1	[	[	X
fcis-31264	158	2	1	1	NUM
fcis-31264	158	3	]	]	X
fcis-31264	158	4	jaitin	jaitin	NOUN
fcis-31264	158	5	,	,	PUNCT
fcis-31264	158	6	d.a	d.a	PROPN
fcis-31264	158	7	.	.	PROPN
fcis-31264	158	8	,	,	PUNCT
fcis-31264	158	9	weiner	weiner	NOUN
fcis-31264	158	10	,	,	PUNCT
fcis-31264	158	11	a.	a.	NOUN
fcis-31264	158	12	,	,	PUNCT
fcis-31264	158	13	yofe	yofe	NOUN
fcis-31264	158	14	,	,	PUNCT
fcis-31264	158	15	i.	i.	NOUN
fcis-31264	158	16	,	,	PUNCT
fcis-31264	158	17	lara	lara	NOUN
fcis-31264	158	18	-	-	PUNCT
fcis-31264	158	19	astiaso	astiaso	NOUN
fcis-31264	158	20	,	,	PUNCT
fcis-31264	158	21	d.	d.	PROPN
fcis-31264	158	22	,	,	PUNCT
fcis-31264	158	23	keren	keren	PROPN
fcis-31264	158	24	-	-	PUNCT
fcis-31264	158	25	shaul	shaul	PROPN
fcis-31264	158	26	,	,	PUNCT
fcis-31264	158	27	h.	h.	PROPN
fcis-31264	158	28	,	,	PUNCT
fcis-31264	158	29	david	david	PROPN
fcis-31264	158	30	,	,	PUNCT
fcis-31264	158	31	e.	e.	PROPN
fcis-31264	158	32	,	,	PUNCT
fcis-31264	158	33	et	et	PROPN
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fcis-31264	159	1	(	(	PUNCT
fcis-31264	159	2	2016	2016	NUM
fcis-31264	159	3	)	)	PUNCT
fcis-31264	159	4	dissecting	dissect	VERB
fcis-31264	159	5	immune	immune	ADJ
fcis-31264	159	6	circuits	circuit	NOUN
fcis-31264	159	7	by	by	ADP
fcis-31264	159	8	linking	link	VERB
fcis-31264	159	9	crispr	crispr	NOUN
fcis-31264	159	10	-	-	PUNCT
fcis-31264	159	11	pooled	pool	VERB
fcis-31264	159	12	screens	screen	NOUN
fcis-31264	159	13	with	with	ADP
fcis-31264	159	14	single	single	ADJ
fcis-31264	159	15	-	-	PUNCT
fcis-31264	159	16	cell	cell	NOUN
fcis-31264	159	17	rna	rna	NOUN
fcis-31264	159	18	-	-	PUNCT
fcis-31264	159	19	seq	seq	NOUN
fcis-31264	159	20	.	.	PUNCT
fcis-31264	160	1	cell	cell	NOUN
fcis-31264	160	2	,	,	PUNCT
fcis-31264	160	3	167	167	NUM
fcis-31264	160	4	,	,	PUNCT
fcis-31264	160	5	1883	1883	NUM
fcis-31264	160	6	-	-	SYM
fcis-31264	160	7	1896.e15	1896.e15	NUM
fcis-31264	160	8	.	.	PUNCT
fcis-31264	161	1	[	[	X
fcis-31264	161	2	2	2	NUM
fcis-31264	161	3	]	]	X
fcis-31264	161	4	katti	katti	PROPN
fcis-31264	161	5	,	,	PUNCT
fcis-31264	161	6	a.	a.	PROPN
fcis-31264	161	7	,	,	PUNCT
fcis-31264	161	8	diaz	diaz	PROPN
fcis-31264	161	9	,	,	PUNCT
fcis-31264	161	10	b.j	b.j	PROPN
fcis-31264	161	11	.	.	PROPN
fcis-31264	161	12	,	,	PUNCT
fcis-31264	161	13	caragine	caragine	NOUN
fcis-31264	161	14	,	,	PUNCT
fcis-31264	161	15	c.m	c.m	PROPN
fcis-31264	161	16	.	.	PROPN
fcis-31264	161	17	,	,	PUNCT
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fcis-31264	161	19	,	,	PUNCT
fcis-31264	161	20	n.e	n.e	PROPN
fcis-31264	161	21	.	.	PROPN
fcis-31264	161	22	and	and	CCONJ
fcis-31264	161	23	dow	dow	PROPN
fcis-31264	161	24	,	,	PUNCT
fcis-31264	161	25	l.e	l.e	PROPN
fcis-31264	161	26	.	.	PROPN
fcis-31264	161	27	(	(	PUNCT
fcis-31264	161	28	2022	2022	NUM
fcis-31264	161	29	)	)	PUNCT
fcis-31264	161	30	crispr	crispr	NOUN
fcis-31264	161	31	in	in	ADP
fcis-31264	161	32	cancer	cancer	NOUN
fcis-31264	161	33	biology	biology	NOUN
fcis-31264	161	34	and	and	CCONJ
fcis-31264	161	35	therapy.nature	therapy.nature	NOUN
fcis-31264	161	36	reviews	review	NOUN
fcis-31264	161	37	cancer	cancer	NOUN
fcis-31264	161	38	,	,	PUNCT
fcis-31264	161	39	22	22	NUM
fcis-31264	161	40	,	,	PUNCT
fcis-31264	161	41	259	259	NUM
fcis-31264	161	42	-	-	SYM
fcis-31264	161	43	279	279	NUM
fcis-31264	161	44	.	.	PUNCT
fcis-31264	162	1	[	[	X
fcis-31264	162	2	3	3	NUM
fcis-31264	162	3	]	]	X
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fcis-31264	162	5	,	,	PUNCT
fcis-31264	162	6	b.	b.	PROPN
fcis-31264	162	7	,	,	PUNCT
fcis-31264	162	8	norman	norman	PROPN
fcis-31264	162	9	,	,	PUNCT
fcis-31264	162	10	t.m	t.m	PROPN
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fcis-31264	162	12	,	,	PUNCT
fcis-31264	162	13	jost	jost	PROPN
fcis-31264	162	14	,	,	PUNCT
fcis-31264	162	15	m.	m.	NOUN
fcis-31264	162	16	,	,	PUNCT
fcis-31264	162	17	cho	cho	PROPN
fcis-31264	162	18	,	,	PUNCT
fcis-31264	162	19	m.y	m.y	PROPN
fcis-31264	162	20	.	.	PROPN
fcis-31264	162	21	,	,	PUNCT
fcis-31264	162	22	nuñez	nuñez	PROPN
fcis-31264	162	23	,	,	PUNCT
fcis-31264	162	24	j.k	j.k	PROPN
fcis-31264	162	25	.	.	PROPN
fcis-31264	162	26	,	,	PUNCT
fcis-31264	162	27	chen	chen	PROPN
fcis-31264	162	28	,	,	PUNCT
fcis-31264	162	29	y.	y.	PROPN
fcis-31264	162	30	,	,	PUNCT
fcis-31264	162	31	et	et	PROPN
fcis-31264	162	32	al	al	PROPN
fcis-31264	162	33	.	.	PUNCT
fcis-31264	163	1	(	(	PUNCT
fcis-31264	163	2	2016	2016	NUM
fcis-31264	163	3	)	)	PUNCT
fcis-31264	163	4	a	a	DET
fcis-31264	163	5	multiplexed	multiplexed	ADJ
fcis-31264	163	6	single	single	ADJ
fcis-31264	163	7	-	-	PUNCT
fcis-31264	163	8	cell	cell	NOUN
fcis-31264	163	9	crispr	crispr	NOUN
fcis-31264	163	10	screening	screening	NOUN
fcis-31264	163	11	platform	platform	NOUN
fcis-31264	163	12	enables	enable	VERB
fcis-31264	163	13	systematic	systematic	ADJ
fcis-31264	163	14	dissection	dissection	NOUN
fcis-31264	163	15	of	of	ADP
fcis-31264	163	16	the	the	DET
fcis-31264	163	17	unfolded	unfolded	ADJ
fcis-31264	163	18	protein	protein	NOUN
fcis-31264	163	19	response	response	NOUN
fcis-31264	163	20	.	.	PUNCT
fcis-31264	164	1	cell	cell	NOUN
fcis-31264	164	2	,	,	PUNCT
fcis-31264	164	3	167	167	NUM
fcis-31264	164	4	,	,	PUNCT
fcis-31264	164	5	1867	1867	NUM
fcis-31264	164	6	-	-	SYM
fcis-31264	164	7	1882.e21	1882.e21	NUM
fcis-31264	164	8	.	.	PUNCT
fcis-31264	165	1	[	[	X
fcis-31264	165	2	4	4	NUM
fcis-31264	165	3	]	]	X
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fcis-31264	165	5	,	,	PUNCT
fcis-31264	165	6	r.e	r.e	PROPN
fcis-31264	165	7	.	.	PROPN
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fcis-31264	165	9	doench	doench	ADJ
fcis-31264	165	10	,	,	PUNCT
fcis-31264	165	11	j.g	j.g	PROPN
fcis-31264	165	12	.	.	PROPN
fcis-31264	165	13	(	(	PUNCT
fcis-31264	165	14	2020	2020	NUM
fcis-31264	165	15	)	)	PUNCT
fcis-31264	165	16	design	design	NOUN
fcis-31264	165	17	and	and	CCONJ
fcis-31264	165	18	analysis	analysis	NOUN
fcis-31264	165	19	of	of	ADP
fcis-31264	165	20	crispr	crispr	NOUN
fcis-31264	165	21	-	-	PUNCT
fcis-31264	165	22	cas	cas	NOUN
fcis-31264	165	23	experiments	experiment	NOUN
fcis-31264	165	24	.	.	PUNCT
fcis-31264	166	1	nature	nature	NOUN
fcis-31264	166	2	biotechnology	biotechnology	NOUN
fcis-31264	166	3	,	,	PUNCT
fcis-31264	166	4	38	38	NUM
fcis-31264	166	5	,	,	PUNCT
fcis-31264	166	6	813	813	NUM
fcis-31264	166	7	823	823	NUM
fcis-31264	166	8	.	.	PUNCT
fcis-31264	167	1	[	[	X
fcis-31264	167	2	5	5	NUM
fcis-31264	167	3	]	]	PUNCT
fcis-31264	167	4	nakamura	nakamura	NOUN
fcis-31264	167	5	,	,	PUNCT
fcis-31264	167	6	m.	m.	NOUN
fcis-31264	167	7	,	,	PUNCT
fcis-31264	167	8	gao	gao	PROPN
fcis-31264	167	9	,	,	PUNCT
fcis-31264	167	10	y.	y.	PROPN
fcis-31264	167	11	,	,	PUNCT
fcis-31264	167	12	dominguez	dominguez	PROPN
fcis-31264	167	13	,	,	PUNCT
fcis-31264	167	14	a.a	a.a	PROPN
fcis-31264	167	15	.	.	PROPN
fcis-31264	167	16	and	and	CCONJ
fcis-31264	167	17	qi	qi	PROPN
fcis-31264	167	18	,	,	PUNCT
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fcis-31264	167	21	(	(	PUNCT
fcis-31264	167	22	2021	2021	NUM
fcis-31264	167	23	)	)	PUNCT
fcis-31264	167	24	crispr	crispr	ADJ
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fcis-31264	167	26	for	for	ADP
fcis-31264	167	27	precise	precise	ADJ
fcis-31264	167	28	epigenome	epigenome	NOUN
fcis-31264	167	29	editing.nature	editing.nature	NOUN
fcis-31264	167	30	cell	cell	NOUN
fcis-31264	167	31	biology	biology	NOUN
fcis-31264	167	32	,	,	PUNCT
fcis-31264	167	33	23	23	NUM
fcis-31264	167	34	,	,	PUNCT
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fcis-31264	167	36	-	-	SYM
fcis-31264	167	37	22	22	NUM
fcis-31264	167	38	.	.	PUNCT
fcis-31264	168	1	[	[	X
fcis-31264	168	2	6	6	NUM
fcis-31264	168	3	]	]	SYM
fcis-31264	168	4	frangieh	frangieh	NOUN
fcis-31264	168	5	,	,	PUNCT
fcis-31264	168	6	c.j	c.j	PROPN
fcis-31264	168	7	.	.	PROPN
fcis-31264	168	8	,	,	PUNCT
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fcis-31264	168	10	,	,	PUNCT
fcis-31264	168	11	j.c	j.c	PROPN
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fcis-31264	168	13	,	,	PUNCT
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fcis-31264	168	16	p.i	p.i	PROPN
fcis-31264	168	17	.	.	PROPN
fcis-31264	168	18	,	,	PUNCT
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fcis-31264	168	22	,	,	PUNCT
fcis-31264	168	23	k.r	k.r	PROPN
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fcis-31264	168	25	,	,	PUNCT
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fcis-31264	168	27	,	,	PUNCT
fcis-31264	168	28	p.	p.	NOUN
fcis-31264	168	29	,	,	PUNCT
fcis-31264	168	30	luoma	luoma	ADJ
fcis-31264	168	31	,	,	PUNCT
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fcis-31264	168	33	,	,	PUNCT
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fcis-31264	168	37	(	(	PUNCT
fcis-31264	168	38	2021	2021	NUM
fcis-31264	168	39	)	)	PUNCT
fcis-31264	168	40	multimodal	multimodal	NOUN
fcis-31264	168	41	pooled	pool	VERB
fcis-31264	168	42	perturb	perturb	VERB
fcis-31264	168	43	-	-	PUNCT
fcis-31264	168	44	cite	cite	VERB
fcis-31264	168	45	-	-	PUNCT
fcis-31264	168	46	seq	seq	NOUN
fcis-31264	168	47	screens	screen	NOUN
fcis-31264	168	48	in	in	ADP
fcis-31264	168	49	patient	patient	ADJ
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fcis-31264	168	56	evasion	evasion	NOUN
fcis-31264	168	57	.	.	PUNCT
fcis-31264	169	1	nature	nature	NOUN
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fcis-31264	169	3	,	,	PUNCT
fcis-31264	169	4	53	53	NUM
fcis-31264	169	5	,	,	PUNCT
fcis-31264	169	6	332	332	NUM
fcis-31264	169	7	-	-	SYM
fcis-31264	169	8	341	341	NUM
fcis-31264	169	9	.	.	PUNCT
fcis-31264	170	1	[	[	X
fcis-31264	170	2	7	7	NUM
fcis-31264	170	3	]	]	X
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fcis-31264	170	5	,	,	PUNCT
fcis-31264	170	6	l.	l.	PROPN
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fcis-31264	170	13	2021	2021	NUM
fcis-31264	170	14	)	)	PUNCT
fcis-31264	170	15	a	a	DET
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fcis-31264	170	18	in	in	ADP
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fcis-31264	170	21	screens	screen	NOUN
fcis-31264	170	22	.	.	PUNCT
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fcis-31264	171	2	reviews	review	VERB
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fcis-31264	171	4	,	,	PUNCT
fcis-31264	171	5	23	23	NUM
fcis-31264	171	6	,	,	PUNCT
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fcis-31264	171	8	-	-	SYM
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fcis-31264	172	3	]	]	SYM
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fcis-31264	172	17	,	,	PUNCT
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fcis-31264	172	21	)	)	PUNCT
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fcis-31264	172	30	.	.	PUNCT
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fcis-31264	173	3	,	,	PUNCT
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fcis-31264	173	5	,	,	PUNCT
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fcis-31264	173	7	-	-	SYM
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fcis-31264	173	9	.	.	PUNCT
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fcis-31264	174	3	]	]	SYM
fcis-31264	174	4	littman	littman	PROPN
fcis-31264	174	5	,	,	PUNCT
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fcis-31264	174	9	,	,	PUNCT
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fcis-31264	174	32	2021	2021	NUM
fcis-31264	174	33	)	)	PUNCT
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fcis-31264	174	35	cell	cell	NOUN
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fcis-31264	174	37	and	and	CCONJ
fcis-31264	174	38	cell	cell	NOUN
fcis-31264	174	39	type	type	NOUN
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fcis-31264	174	41	for	for	ADP
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fcis-31264	174	44	.	.	PUNCT
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fcis-31264	175	2	systems	system	NOUN
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fcis-31264	176	3	]	]	X
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fcis-31264	176	5	,	,	PUNCT
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fcis-31264	176	14	j.	j.	PROPN
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fcis-31264	176	17	,	,	PUNCT
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fcis-31264	176	25	)	)	PUNCT
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fcis-31264	176	29	-	-	PUNCT
fcis-31264	176	30	cell	cell	NOUN
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fcis-31264	176	32	-	-	PUNCT
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fcis-31264	176	39	between	between	ADP
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fcis-31264	176	41	through	through	ADP
fcis-31264	176	42	graph	graph	NOUN
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fcis-31264	176	44	network	network	NOUN
fcis-31264	176	45	.	.	PUNCT
fcis-31264	177	1	2020	2020	NUM
fcis-31264	177	2	ieee	ieee	PROPN
fcis-31264	177	3	international	international	ADJ
fcis-31264	177	4	conference	conference	NOUN
fcis-31264	177	5	on	on	ADP
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fcis-31264	177	10	bibm	bibm	PROPN
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fcis-31264	177	24	.	.	PUNCT
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fcis-31264	178	3	]	]	SYM
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fcis-31264	178	10	h.	h.	PROPN
fcis-31264	178	11	,	,	PUNCT
fcis-31264	178	12	zhou	zhou	PROPN
fcis-31264	178	13	,	,	PUNCT
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fcis-31264	178	22	y.	y.	PROPN
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fcis-31264	179	9	-	-	SYM
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fcis-31264	180	19	)	)	PUNCT
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fcis-31264	181	3	,	,	PUNCT
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fcis-31264	181	5	,	,	PUNCT
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fcis-31264	182	3	]	]	X
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fcis-31264	189	3	]	]	SYM
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fcis-31264	191	27	)	)	PUNCT
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fcis-31264	191	29	:	:	PUNCT
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fcis-31264	192	2	,	,	PUNCT
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fcis-31264	192	4	,	,	PUNCT
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fcis-31264	192	8	.	.	PUNCT
fcis-31264	193	1	[	[	X
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fcis-31264	193	3	]	]	X
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fcis-31264	193	25	,	,	PUNCT
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fcis-31264	193	29	)	)	PUNCT
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fcis-31264	195	3	]	]	SYM
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fcis-31264	196	3	)	)	PUNCT
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fcis-31264	201	3	]	]	X
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fcis-31264	201	5	,	,	PUNCT
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fcis-31264	201	49	.	.	PUNCT
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fcis-31264	202	6	-	-	SYM
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fcis-31264	203	3	]	]	X
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fcis-31264	203	8	,	,	PUNCT
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fcis-31264	207	29	j.z	j.z	PROPN
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fcis-31264	208	10	by	by	ADP
fcis-31264	208	11	direct	direct	ADJ
fcis-31264	208	12	guide	guide	NOUN
fcis-31264	208	13	rna	rna	NOUN
fcis-31264	208	14	capture	capture	NOUN
fcis-31264	208	15	and	and	CCONJ
fcis-31264	208	16	targeted	target	VERB
fcis-31264	208	17	sequencing	sequencing	NOUN
fcis-31264	208	18	.	.	PUNCT
fcis-31264	209	1	nature	nature	NOUN
fcis-31264	209	2	biotechnology	biotechnology	NOUN
fcis-31264	209	3	,	,	PUNCT
fcis-31264	209	4	38	38	NUM
fcis-31264	209	5	,	,	PUNCT
fcis-31264	209	6	954	954	NUM
fcis-31264	209	7	-	-	SYM
fcis-31264	209	8	961	961	NUM
fcis-31264	209	9	.	.	PUNCT
fcis-31264	210	1	[	[	X
fcis-31264	210	2	26	26	NUM
fcis-31264	210	3	]	]	X
fcis-31264	210	4	bock	bock	NOUN
fcis-31264	210	5	,	,	PUNCT
fcis-31264	210	6	c.	c.	NOUN
fcis-31264	210	7	,	,	PUNCT
fcis-31264	210	8	datlinger	datlinger	NOUN
fcis-31264	210	9	,	,	PUNCT
fcis-31264	210	10	p.	p.	PROPN
fcis-31264	210	11	,	,	PUNCT
fcis-31264	210	12	chardon	chardon	PROPN
fcis-31264	210	13	,	,	PUNCT
fcis-31264	210	14	f.	f.	PROPN
fcis-31264	210	15	,	,	PUNCT
fcis-31264	210	16	coelho	coelho	PROPN
fcis-31264	210	17	,	,	PUNCT
fcis-31264	210	18	m.a	m.a	PROPN
fcis-31264	210	19	.	.	PROPN
fcis-31264	210	20	,	,	PUNCT
fcis-31264	210	21	dong	dong	PROPN
fcis-31264	210	22	,	,	PUNCT
fcis-31264	210	23	m.b	m.b	PROPN
fcis-31264	210	24	.	.	PROPN
fcis-31264	210	25	,	,	PUNCT
fcis-31264	210	26	lawson	lawson	PROPN
fcis-31264	210	27	,	,	PUNCT
fcis-31264	210	28	k.a	k.a	PROPN
fcis-31264	210	29	.	.	PROPN
fcis-31264	210	30	,	,	PUNCT
fcis-31264	210	31	et	et	PROPN
fcis-31264	210	32	al	al	PROPN
fcis-31264	210	33	.	.	PROPN
fcis-31264	210	34	(	(	PUNCT
fcis-31264	210	35	2022	2022	NUM
fcis-31264	210	36	)	)	PUNCT
fcis-31264	210	37	high	high	ADJ
fcis-31264	210	38	-	-	PUNCT
fcis-31264	210	39	content	content	NOUN
fcis-31264	210	40	crispr	crispr	ADJ
fcis-31264	210	41	screening	screening	NOUN
fcis-31264	210	42	.	.	PUNCT
fcis-31264	211	1	nature	nature	NOUN
fcis-31264	211	2	reviews	review	NOUN
fcis-31264	211	3	methods	method	NOUN
fcis-31264	211	4	primers	primer	NOUN
fcis-31264	211	5	,	,	PUNCT
fcis-31264	211	6	2	2	NUM
fcis-31264	211	7	,	,	PUNCT
fcis-31264	211	8	article	article	NOUN
fcis-31264	211	9	no	no	NOUN
fcis-31264	211	10	.	.	NOUN
fcis-31264	211	11	8	8	NUM
fcis-31264	211	12	.	.	PUNCT