id	sid	tid	token	lemma	pos
dv13zs28s33	1	1	the	the	DET
dv13zs28s33	1	2	advent	advent	NOUN
dv13zs28s33	1	3	of	of	ADP
dv13zs28s33	1	4	single	single	ADJ
dv13zs28s33	1	5	cell	cell	NOUN
dv13zs28s33	1	6	rna	rna	NOUN
dv13zs28s33	1	7	-	-	PUNCT
dv13zs28s33	1	8	sequencing	sequence	VERB
dv13zs28s33	1	9	(	(	PUNCT
dv13zs28s33	1	10	scrna	scrna	PROPN
dv13zs28s33	1	11	-	-	PUNCT
dv13zs28s33	1	12	seq	seq	PROPN
dv13zs28s33	1	13	)	)	PUNCT
dv13zs28s33	1	14	has	have	AUX
dv13zs28s33	1	15	opened	open	VERB
dv13zs28s33	1	16	up	up	ADP
dv13zs28s33	1	17	the	the	DET
dv13zs28s33	1	18	gates	gate	NOUN
dv13zs28s33	1	19	to	to	ADP
dv13zs28s33	1	20	a	a	DET
dv13zs28s33	1	21	plethora	plethora	NOUN
dv13zs28s33	1	22	of	of	ADP
dv13zs28s33	1	23	new	new	ADJ
dv13zs28s33	1	24	research	research	NOUN
dv13zs28s33	1	25	avenues	avenue	NOUN
dv13zs28s33	1	26	.	.	PUNCT
dv13zs28s33	2	1	we	we	PRON
dv13zs28s33	2	2	stand	stand	VERB
dv13zs28s33	2	3	to	to	PART
dv13zs28s33	2	4	make	make	VERB
dv13zs28s33	2	5	great	great	ADJ
dv13zs28s33	2	6	leaps	leap	NOUN
dv13zs28s33	2	7	forward	forward	ADV
dv13zs28s33	2	8	in	in	ADP
dv13zs28s33	2	9	the	the	DET
dv13zs28s33	2	10	understanding	understanding	NOUN
dv13zs28s33	2	11	of	of	ADP
dv13zs28s33	2	12	how	how	SCONJ
dv13zs28s33	2	13	multi	multi	ADJ
dv13zs28s33	2	14	-	-	ADJ
dv13zs28s33	2	15	celled	celle	VERB
dv13zs28s33	2	16	organisms	organism	NOUN
dv13zs28s33	2	17	function	function	VERB
dv13zs28s33	2	18	by	by	ADP
dv13zs28s33	2	19	analyzing	analyze	VERB
dv13zs28s33	2	20	their	their	PRON
dv13zs28s33	2	21	component	component	NOUN
dv13zs28s33	2	22	parts	part	NOUN
dv13zs28s33	2	23	.	.	PUNCT
dv13zs28s33	3	1	we	we	PRON
dv13zs28s33	3	2	can	can	AUX
dv13zs28s33	3	3	now	now	ADV
dv13zs28s33	3	4	analyze	analyze	VERB
dv13zs28s33	3	5	the	the	DET
dv13zs28s33	3	6	transcriptome	transcriptome	ADJ
dv13zs28s33	3	7	landscape	landscape	NOUN
dv13zs28s33	3	8	of	of	ADP
dv13zs28s33	3	9	developing	develop	VERB
dv13zs28s33	3	10	stem	stem	NOUN
dv13zs28s33	3	11	cells	cell	NOUN
dv13zs28s33	3	12	,	,	PUNCT
dv13zs28s33	3	13	study	study	VERB
dv13zs28s33	3	14	how	how	SCONJ
dv13zs28s33	3	15	cancer	cancer	NOUN
dv13zs28s33	3	16	cells	cell	NOUN
dv13zs28s33	3	17	change	change	VERB
dv13zs28s33	3	18	after	after	ADP
dv13zs28s33	3	19	treatment	treatment	NOUN
dv13zs28s33	3	20	,	,	PUNCT
dv13zs28s33	3	21	examine	examine	VERB
dv13zs28s33	3	22	how	how	SCONJ
dv13zs28s33	3	23	the	the	DET
dv13zs28s33	3	24	body	body	NOUN
dv13zs28s33	3	25	reacts	react	VERB
dv13zs28s33	3	26	to	to	ADP
dv13zs28s33	3	27	disease	disease	NOUN
dv13zs28s33	3	28	on	on	ADP
dv13zs28s33	3	29	a	a	DET
dv13zs28s33	3	30	cellular	cellular	ADJ
dv13zs28s33	3	31	level	level	NOUN
dv13zs28s33	3	32	and	and	CCONJ
dv13zs28s33	3	33	create	create	VERB
dv13zs28s33	3	34	detailed	detailed	ADJ
dv13zs28s33	3	35	taxonomies	taxonomy	NOUN
dv13zs28s33	3	36	of	of	ADP
dv13zs28s33	3	37	the	the	DET
dv13zs28s33	3	38	cellular	cellular	ADJ
dv13zs28s33	3	39	composition	composition	NOUN
dv13zs28s33	3	40	of	of	ADP
dv13zs28s33	3	41	organisms.however	organisms.however	PROPN
dv13zs28s33	3	42	,	,	PUNCT
dv13zs28s33	3	43	considerable	considerable	ADJ
dv13zs28s33	3	44	challenges	challenge	NOUN
dv13zs28s33	3	45	remain	remain	VERB
dv13zs28s33	3	46	before	before	SCONJ
dv13zs28s33	3	47	the	the	DET
dv13zs28s33	3	48	full	full	ADJ
dv13zs28s33	3	49	potential	potential	NOUN
dv13zs28s33	3	50	of	of	ADP
dv13zs28s33	3	51	scrna	scrna	PROPN
dv13zs28s33	3	52	-	-	PUNCT
dv13zs28s33	3	53	seq	seq	PROPN
dv13zs28s33	3	54	can	can	AUX
dv13zs28s33	3	55	be	be	AUX
dv13zs28s33	3	56	utilized	utilize	VERB
dv13zs28s33	3	57	,	,	PUNCT
dv13zs28s33	3	58	including	include	VERB
dv13zs28s33	3	59	the	the	DET
dv13zs28s33	3	60	high	high	ADJ
dv13zs28s33	3	61	dimensional	dimensional	ADJ
dv13zs28s33	3	62	nature	nature	NOUN
dv13zs28s33	3	63	of	of	ADP
dv13zs28s33	3	64	the	the	DET
dv13zs28s33	3	65	data	datum	NOUN
dv13zs28s33	3	66	,	,	PUNCT
dv13zs28s33	3	67	noise	noise	NOUN
dv13zs28s33	3	68	,	,	PUNCT
dv13zs28s33	3	69	confounding	confound	VERB
dv13zs28s33	3	70	factors	factor	NOUN
dv13zs28s33	3	71	and	and	CCONJ
dv13zs28s33	3	72	a	a	DET
dv13zs28s33	3	73	lack	lack	NOUN
dv13zs28s33	3	74	of	of	ADP
dv13zs28s33	3	75	suitable	suitable	ADJ
dv13zs28s33	3	76	methods	method	NOUN
dv13zs28s33	3	77	to	to	PART
dv13zs28s33	3	78	adequately	adequately	ADV
dv13zs28s33	3	79	compare	compare	VERB
dv13zs28s33	3	80	populations	population	NOUN
dv13zs28s33	3	81	of	of	ADP
dv13zs28s33	3	82	cells	cell	NOUN
dv13zs28s33	3	83	.	.	PUNCT
dv13zs28s33	4	1	while	while	SCONJ
dv13zs28s33	4	2	there	there	PRON
dv13zs28s33	4	3	is	be	VERB
dv13zs28s33	4	4	on	on	ADV
dv13zs28s33	4	5	-	-	PUNCT
dv13zs28s33	4	6	going	go	VERB
dv13zs28s33	4	7	development	development	NOUN
dv13zs28s33	4	8	and	and	CCONJ
dv13zs28s33	4	9	refinement	refinement	NOUN
dv13zs28s33	4	10	of	of	ADP
dv13zs28s33	4	11	sequencing	sequence	VERB
dv13zs28s33	4	12	procedures	procedure	NOUN
dv13zs28s33	4	13	to	to	PART
dv13zs28s33	4	14	reduce	reduce	VERB
dv13zs28s33	4	15	sources	source	NOUN
dv13zs28s33	4	16	of	of	ADP
dv13zs28s33	4	17	technical	technical	ADJ
dv13zs28s33	4	18	noise	noise	NOUN
dv13zs28s33	4	19	and	and	CCONJ
dv13zs28s33	4	20	bias	bias	NOUN
dv13zs28s33	4	21	,	,	PUNCT
dv13zs28s33	4	22	this	this	DET
dv13zs28s33	4	23	thesis	thesis	NOUN
dv13zs28s33	4	24	will	will	AUX
dv13zs28s33	4	25	focus	focus	VERB
dv13zs28s33	4	26	on	on	ADP
dv13zs28s33	4	27	the	the	DET
dv13zs28s33	4	28	issues	issue	NOUN
dv13zs28s33	4	29	facing	face	VERB
dv13zs28s33	4	30	the	the	DET
dv13zs28s33	4	31	computational	computational	ADJ
dv13zs28s33	4	32	analysis	analysis	NOUN
dv13zs28s33	4	33	of	of	ADP
dv13zs28s33	4	34	scrna	scrna	PROPN
dv13zs28s33	4	35	-	-	PUNCT
dv13zs28s33	4	36	seq	seq	PROPN
dv13zs28s33	4	37	.	.	PUNCT
dv13zs28s33	4	38	data	datum	NOUN
dv13zs28s33	4	39	coming	come	VERB
dv13zs28s33	4	40	from	from	ADP
dv13zs28s33	4	41	scrna	scrna	PROPN
dv13zs28s33	4	42	-	-	PUNCT
dv13zs28s33	4	43	seq	seq	PROPN
dv13zs28s33	4	44	experiments	experiment	NOUN
dv13zs28s33	4	45	typically	typically	ADV
dv13zs28s33	4	46	contain	contain	VERB
dv13zs28s33	4	47	100	100	NUM
dv13zs28s33	4	48	-	-	SYM
dv13zs28s33	4	49	10,000	10,000	NUM
dv13zs28s33	4	50	cells	cell	NOUN
dv13zs28s33	4	51	and	and	CCONJ
dv13zs28s33	4	52	measurements	measurement	NOUN
dv13zs28s33	4	53	for	for	ADP
dv13zs28s33	4	54	about	about	ADV
dv13zs28s33	4	55	20,000	20,000	NUM
dv13zs28s33	4	56	-	-	SYM
dv13zs28s33	4	57	50,000	50,000	NUM
dv13zs28s33	4	58	genes	gene	NOUN
dv13zs28s33	4	59	,	,	PUNCT
dv13zs28s33	4	60	this	this	PRON
dv13zs28s33	4	61	leads	lead	VERB
dv13zs28s33	4	62	to	to	ADP
dv13zs28s33	4	63	a	a	DET
dv13zs28s33	4	64	large	large	ADJ
dv13zs28s33	4	65	\	\	PROPN
dv13zs28s33	4	66	extit{p	extit{p	PROPN
dv13zs28s33	4	67	}	}	PUNCT
dv13zs28s33	4	68	small	small	PROPN
dv13zs28s33	4	69	\	\	PROPN
dv13zs28s33	4	70	extit{n	extit{n	PROPN
dv13zs28s33	4	71	}	}	PUNCT
dv13zs28s33	4	72	problem	problem	NOUN
dv13zs28s33	4	73	,	,	PUNCT
dv13zs28s33	4	74	leading	lead	VERB
dv13zs28s33	4	75	to	to	ADP
dv13zs28s33	4	76	issues	issue	NOUN
dv13zs28s33	4	77	such	such	ADJ
dv13zs28s33	4	78	as	as	ADP
dv13zs28s33	4	79	conventional	conventional	ADJ
dv13zs28s33	4	80	clustering	clustering	NOUN
dv13zs28s33	4	81	algorithms	algorithm	NOUN
dv13zs28s33	4	82	being	be	AUX
dv13zs28s33	4	83	ineffective	ineffective	ADJ
dv13zs28s33	4	84	due	due	ADP
dv13zs28s33	4	85	to	to	ADP
dv13zs28s33	4	86	the	the	DET
dv13zs28s33	4	87	curse	curse	NOUN
dv13zs28s33	4	88	of	of	ADP
dv13zs28s33	4	89	dimensionality	dimensionality	NOUN
dv13zs28s33	4	90	.	.	PUNCT
dv13zs28s33	5	1	a	a	DET
dv13zs28s33	5	2	related	related	ADJ
dv13zs28s33	5	3	issue	issue	NOUN
dv13zs28s33	5	4	is	be	AUX
dv13zs28s33	5	5	the	the	DET
dv13zs28s33	5	6	proportion	proportion	NOUN
dv13zs28s33	5	7	of	of	ADP
dv13zs28s33	5	8	noise	noise	NOUN
dv13zs28s33	5	9	in	in	ADP
dv13zs28s33	5	10	the	the	DET
dv13zs28s33	5	11	data	datum	NOUN
dv13zs28s33	5	12	,	,	PUNCT
dv13zs28s33	5	13	and	and	CCONJ
dv13zs28s33	5	14	that	that	SCONJ
dv13zs28s33	5	15	the	the	DET
dv13zs28s33	5	16	expression	expression	NOUN
dv13zs28s33	5	17	of	of	ADP
dv13zs28s33	5	18	many	many	ADJ
dv13zs28s33	5	19	genes	gene	NOUN
dv13zs28s33	5	20	may	may	AUX
dv13zs28s33	5	21	be	be	AUX
dv13zs28s33	5	22	unrelated	unrelated	ADJ
dv13zs28s33	5	23	to	to	ADP
dv13zs28s33	5	24	the	the	DET
dv13zs28s33	5	25	information	information	NOUN
dv13zs28s33	5	26	we	we	PRON
dv13zs28s33	5	27	are	be	AUX
dv13zs28s33	5	28	trying	try	VERB
dv13zs28s33	5	29	to	to	PART
dv13zs28s33	5	30	extract	extract	VERB
dv13zs28s33	5	31	from	from	ADP
dv13zs28s33	5	32	the	the	DET
dv13zs28s33	5	33	data	datum	NOUN
dv13zs28s33	5	34	.	.	PUNCT
dv13zs28s33	6	1	confounding	confound	VERB
dv13zs28s33	6	2	factors	factor	NOUN
dv13zs28s33	6	3	such	such	ADJ
dv13zs28s33	6	4	as	as	ADP
dv13zs28s33	6	5	the	the	DET
dv13zs28s33	6	6	cell	cell	NOUN
dv13zs28s33	6	7	-	-	PUNCT
dv13zs28s33	6	8	cycle	cycle	NOUN
dv13zs28s33	6	9	can	can	AUX
dv13zs28s33	6	10	affect	affect	VERB
dv13zs28s33	6	11	the	the	DET
dv13zs28s33	6	12	expression	expression	NOUN
dv13zs28s33	6	13	of	of	ADP
dv13zs28s33	6	14	many	many	ADJ
dv13zs28s33	6	15	genes	gene	NOUN
dv13zs28s33	6	16	,	,	PUNCT
dv13zs28s33	6	17	leading	lead	VERB
dv13zs28s33	6	18	to	to	ADP
dv13zs28s33	6	19	subpopulations	subpopulation	NOUN
dv13zs28s33	6	20	in	in	ADP
dv13zs28s33	6	21	the	the	DET
dv13zs28s33	6	22	data	datum	NOUN
dv13zs28s33	6	23	being	be	AUX
dv13zs28s33	6	24	masked	mask	VERB
dv13zs28s33	6	25	by	by	ADP
dv13zs28s33	6	26	its	its	PRON
dv13zs28s33	6	27	effect	effect	NOUN
dv13zs28s33	6	28	.	.	PUNCT
dv13zs28s33	7	1	existing	exist	VERB
dv13zs28s33	7	2	clustering	clustering	NOUN
dv13zs28s33	7	3	algorithms	algorithm	NOUN
dv13zs28s33	7	4	are	be	AUX
dv13zs28s33	7	5	unsuitable	unsuitable	ADJ
dv13zs28s33	7	6	for	for	ADP
dv13zs28s33	7	7	the	the	DET
dv13zs28s33	7	8	simultaneous	simultaneous	ADJ
dv13zs28s33	7	9	analysis	analysis	NOUN
dv13zs28s33	7	10	of	of	ADP
dv13zs28s33	7	11	more	more	ADJ
dv13zs28s33	7	12	than	than	ADP
dv13zs28s33	7	13	a	a	DET
dv13zs28s33	7	14	single	single	ADJ
dv13zs28s33	7	15	population	population	NOUN
dv13zs28s33	7	16	at	at	ADP
dv13zs28s33	7	17	the	the	DET
dv13zs28s33	7	18	one	one	NUM
dv13zs28s33	7	19	time	time	NOUN
dv13zs28s33	7	20	,	,	PUNCT
dv13zs28s33	7	21	that	that	ADV
dv13zs28s33	7	22	is	is	ADV
dv13zs28s33	7	23	,	,	PUNCT
dv13zs28s33	7	24	clusters	cluster	NOUN
dv13zs28s33	7	25	found	find	VERB
dv13zs28s33	7	26	in	in	ADP
dv13zs28s33	7	27	separate	separate	ADJ
dv13zs28s33	7	28	populations	population	NOUN
dv13zs28s33	7	29	must	must	AUX
dv13zs28s33	7	30	be	be	AUX
dv13zs28s33	7	31	linked	link	VERB
dv13zs28s33	7	32	after	after	SCONJ
dv13zs28s33	7	33	the	the	DET
dv13zs28s33	7	34	clustering	clustering	NOUN
dv13zs28s33	7	35	has	have	AUX
dv13zs28s33	7	36	been	be	AUX
dv13zs28s33	7	37	completed	complete	VERB
dv13zs28s33	7	38	,	,	PUNCT
dv13zs28s33	7	39	making	make	VERB
dv13zs28s33	7	40	the	the	DET
dv13zs28s33	7	41	tracing	tracing	NOUN
dv13zs28s33	7	42	of	of	ADP
dv13zs28s33	7	43	subpopulations	subpopulation	NOUN
dv13zs28s33	7	44	of	of	ADP
dv13zs28s33	7	45	cells	cell	NOUN
dv13zs28s33	7	46	through	through	ADP
dv13zs28s33	7	47	a	a	DET
dv13zs28s33	7	48	condition	condition	NOUN
dv13zs28s33	7	49	change	change	NOUN
dv13zs28s33	7	50	very	very	ADV
dv13zs28s33	7	51	challenging	challenging	ADJ
dv13zs28s33	7	52	.	.	PUNCT
dv13zs28s33	8	1	in	in	ADP
dv13zs28s33	8	2	particular	particular	ADJ
dv13zs28s33	8	3	if	if	SCONJ
dv13zs28s33	8	4	the	the	DET
dv13zs28s33	8	5	transcriptome	transcriptome	NOUN
dv13zs28s33	8	6	profile	profile	NOUN
dv13zs28s33	8	7	of	of	ADP
dv13zs28s33	8	8	a	a	DET
dv13zs28s33	8	9	subpopulation	subpopulation	NOUN
dv13zs28s33	8	10	of	of	ADP
dv13zs28s33	8	11	cells	cell	NOUN
dv13zs28s33	8	12	has	have	AUX
dv13zs28s33	8	13	changed	change	VERB
dv13zs28s33	8	14	due	due	ADP
dv13zs28s33	8	15	to	to	ADP
dv13zs28s33	8	16	the	the	DET
dv13zs28s33	8	17	condition	condition	NOUN
dv13zs28s33	8	18	change	change	NOUN
dv13zs28s33	8	19	then	then	ADV
dv13zs28s33	8	20	there	there	PRON
dv13zs28s33	8	21	is	be	VERB
dv13zs28s33	8	22	difficulty	difficulty	NOUN
dv13zs28s33	8	23	in	in	ADP
dv13zs28s33	8	24	determining	determine	VERB
dv13zs28s33	8	25	whether	whether	SCONJ
dv13zs28s33	8	26	that	that	DET
dv13zs28s33	8	27	subpopulation	subpopulation	NOUN
dv13zs28s33	8	28	has	have	AUX
dv13zs28s33	8	29	died	die	VERB
dv13zs28s33	8	30	out	out	ADP
dv13zs28s33	8	31	or	or	CCONJ
dv13zs28s33	8	32	survived	survive	VERB
dv13zs28s33	8	33	the	the	DET
dv13zs28s33	8	34	condition	condition	NOUN
dv13zs28s33	8	35	change	change	NOUN
dv13zs28s33	8	36	.	.	PUNCT
dv13zs28s33	9	1	this	this	DET
dv13zs28s33	9	2	work	work	NOUN
dv13zs28s33	9	3	will	will	AUX
dv13zs28s33	9	4	present	present	VERB
dv13zs28s33	9	5	two	two	NUM
dv13zs28s33	9	6	methods	method	NOUN
dv13zs28s33	9	7	developed	develop	VERB
dv13zs28s33	9	8	to	to	PART
dv13zs28s33	9	9	improve	improve	VERB
dv13zs28s33	9	10	the	the	DET
dv13zs28s33	9	11	analysis	analysis	NOUN
dv13zs28s33	9	12	of	of	ADP
dv13zs28s33	9	13	scrna	scrna	PROPN
dv13zs28s33	9	14	-	-	PUNCT
dv13zs28s33	9	15	seq	seq	PROPN
dv13zs28s33	9	16	data	datum	NOUN
dv13zs28s33	9	17	.	.	PUNCT
dv13zs28s33	10	1	the	the	DET
dv13zs28s33	10	2	first	first	ADJ
dv13zs28s33	10	3	of	of	ADP
dv13zs28s33	10	4	these	these	PRON
dv13zs28s33	10	5	,	,	PUNCT
dv13zs28s33	10	6	a	a	DET
dv13zs28s33	10	7	sparse	sparse	ADJ
dv13zs28s33	10	8	differential	differential	ADJ
dv13zs28s33	10	9	clustering	clustering	NOUN
dv13zs28s33	10	10	algorithm	algorithm	NOUN
dv13zs28s33	10	11	,	,	PUNCT
dv13zs28s33	10	12	sparsedc	sparsedc	PROPN
dv13zs28s33	10	13	,	,	PUNCT
dv13zs28s33	10	14	is	be	AUX
dv13zs28s33	10	15	the	the	DET
dv13zs28s33	10	16	first	first	ADJ
dv13zs28s33	10	17	clustering	clustering	NOUN
dv13zs28s33	10	18	algorithm	algorithm	NOUN
dv13zs28s33	10	19	which	which	PRON
dv13zs28s33	10	20	is	be	AUX
dv13zs28s33	10	21	suitable	suitable	ADJ
dv13zs28s33	10	22	for	for	ADP
dv13zs28s33	10	23	analyzing	analyze	VERB
dv13zs28s33	10	24	two	two	NUM
dv13zs28s33	10	25	populations	population	NOUN
dv13zs28s33	10	26	in	in	ADP
dv13zs28s33	10	27	a	a	DET
dv13zs28s33	10	28	high	high	ADJ
dv13zs28s33	10	29	dimensional	dimensional	ADJ
dv13zs28s33	10	30	setting	setting	NOUN
dv13zs28s33	10	31	.	.	PUNCT
dv13zs28s33	11	1	this	this	DET
dv13zs28s33	11	2	algorithm	algorithm	PROPN
dv13zs28s33	11	3	clusters	cluster	VERB
dv13zs28s33	11	4	cells	cell	NOUN
dv13zs28s33	11	5	from	from	ADP
dv13zs28s33	11	6	two	two	NUM
dv13zs28s33	11	7	populations	population	NOUN
dv13zs28s33	11	8	simultaneously	simultaneously	ADV
dv13zs28s33	11	9	,	,	PUNCT
dv13zs28s33	11	10	identifies	identify	VERB
dv13zs28s33	11	11	a	a	DET
dv13zs28s33	11	12	unique	unique	ADJ
dv13zs28s33	11	13	set	set	NOUN
dv13zs28s33	11	14	of	of	ADP
dv13zs28s33	11	15	characteristic	characteristic	ADJ
dv13zs28s33	11	16	markers	marker	NOUN
dv13zs28s33	11	17	for	for	ADP
dv13zs28s33	11	18	each	each	PRON
dv13zs28s33	11	19	of	of	ADP
dv13zs28s33	11	20	the	the	DET
dv13zs28s33	11	21	clusters	cluster	NOUN
dv13zs28s33	11	22	,	,	PUNCT
dv13zs28s33	11	23	links	link	NOUN
dv13zs28s33	11	24	clusters	cluster	NOUN
dv13zs28s33	11	25	which	which	PRON
dv13zs28s33	11	26	are	be	AUX
dv13zs28s33	11	27	present	present	ADJ
dv13zs28s33	11	28	in	in	ADP
dv13zs28s33	11	29	both	both	DET
dv13zs28s33	11	30	conditions	condition	NOUN
dv13zs28s33	11	31	and	and	CCONJ
dv13zs28s33	11	32	detects	detect	VERB
dv13zs28s33	11	33	features	feature	NOUN
dv13zs28s33	11	34	which	which	PRON
dv13zs28s33	11	35	describe	describe	VERB
dv13zs28s33	11	36	how	how	SCONJ
dv13zs28s33	11	37	the	the	DET
dv13zs28s33	11	38	transcriptome	transcriptome	NOUN
dv13zs28s33	11	39	profile	profile	NOUN
dv13zs28s33	11	40	has	have	AUX
dv13zs28s33	11	41	changed	change	VERB
dv13zs28s33	11	42	with	with	ADP
dv13zs28s33	11	43	the	the	DET
dv13zs28s33	11	44	condition	condition	NOUN
dv13zs28s33	11	45	change	change	NOUN
dv13zs28s33	11	46	.	.	PUNCT
dv13zs28s33	12	1	furthermore	furthermore	ADV
dv13zs28s33	12	2	,	,	PUNCT
dv13zs28s33	12	3	sparsedc	sparsedc	NOUN
dv13zs28s33	12	4	only	only	ADV
dv13zs28s33	12	5	uses	use	VERB
dv13zs28s33	12	6	a	a	DET
dv13zs28s33	12	7	subset	subset	NOUN
dv13zs28s33	12	8	of	of	ADP
dv13zs28s33	12	9	the	the	DET
dv13zs28s33	12	10	total	total	ADJ
dv13zs28s33	12	11	features	feature	NOUN
dv13zs28s33	12	12	in	in	ADP
dv13zs28s33	12	13	its	its	PRON
dv13zs28s33	12	14	solution	solution	NOUN
dv13zs28s33	12	15	allowing	allow	VERB
dv13zs28s33	12	16	it	it	PRON
dv13zs28s33	12	17	to	to	PART
dv13zs28s33	12	18	avoid	avoid	VERB
dv13zs28s33	12	19	the	the	DET
dv13zs28s33	12	20	curse	curse	NOUN
dv13zs28s33	12	21	of	of	ADP
dv13zs28s33	12	22	dimensionality	dimensionality	NOUN
dv13zs28s33	12	23	and	and	CCONJ
dv13zs28s33	12	24	work	work	NOUN
dv13zs28s33	12	25	effectively	effectively	ADV
dv13zs28s33	12	26	when	when	SCONJ
dv13zs28s33	12	27	faced	face	VERB
dv13zs28s33	12	28	with	with	ADP
dv13zs28s33	12	29	data	datum	NOUN
dv13zs28s33	12	30	with	with	ADP
dv13zs28s33	12	31	many	many	ADJ
dv13zs28s33	12	32	features	feature	NOUN
dv13zs28s33	12	33	such	such	ADJ
dv13zs28s33	12	34	as	as	ADP
dv13zs28s33	12	35	scrna	scrna	PROPN
dv13zs28s33	12	36	-	-	PUNCT
dv13zs28s33	12	37	seq	seq	PROPN
dv13zs28s33	12	38	data	data	PROPN
dv13zs28s33	12	39	.	.	PUNCT
dv13zs28s33	13	1	sparsedc	sparsedc	PROPN
dv13zs28s33	13	2	uses	use	VERB
dv13zs28s33	13	3	a	a	DET
dv13zs28s33	13	4	modified	modify	VERB
dv13zs28s33	13	5	k	k	PROPN
dv13zs28s33	13	6	-	-	PUNCT
dv13zs28s33	13	7	means	mean	NOUN
dv13zs28s33	13	8	clustering	clustering	NOUN
dv13zs28s33	13	9	algorithm	algorithm	NOUN
dv13zs28s33	13	10	with	with	ADP
dv13zs28s33	13	11	added	add	VERB
dv13zs28s33	13	12	$	$	SYM
dv13zs28s33	13	13	\ell_1	\ell_1	SPACE
dv13zs28s33	13	14	$	$	NOUN
dv13zs28s33	13	15	penalties	penalty	NOUN
dv13zs28s33	13	16	to	to	PART
dv13zs28s33	13	17	enforce	enforce	VERB
dv13zs28s33	13	18	sparsity	sparsity	NOUN
dv13zs28s33	13	19	in	in	ADP
dv13zs28s33	13	20	the	the	DET
dv13zs28s33	13	21	marker	marker	NOUN
dv13zs28s33	13	22	genes	gene	NOUN
dv13zs28s33	13	23	and	and	CCONJ
dv13zs28s33	13	24	drive	drive	VERB
dv13zs28s33	13	25	similar	similar	ADJ
dv13zs28s33	13	26	clusters	cluster	NOUN
dv13zs28s33	13	27	from	from	ADP
dv13zs28s33	13	28	different	different	ADJ
dv13zs28s33	13	29	conditions	condition	NOUN
dv13zs28s33	13	30	together	together	ADV
dv13zs28s33	13	31	.	.	PUNCT
dv13zs28s33	14	1	the	the	DET
dv13zs28s33	14	2	second	second	ADJ
dv13zs28s33	14	3	method	method	NOUN
dv13zs28s33	14	4	presented	present	VERB
dv13zs28s33	14	5	is	be	AUX
dv13zs28s33	14	6	a	a	DET
dv13zs28s33	14	7	tool	tool	NOUN
dv13zs28s33	14	8	for	for	ADP
dv13zs28s33	14	9	identifying	identify	VERB
dv13zs28s33	14	10	the	the	DET
dv13zs28s33	14	11	cell	cell	NOUN
dv13zs28s33	14	12	-	-	PUNCT
dv13zs28s33	14	13	cycle	cycle	NOUN
dv13zs28s33	14	14	effect	effect	NOUN
dv13zs28s33	14	15	in	in	ADP
dv13zs28s33	14	16	scrna	scrna	PROPN
dv13zs28s33	14	17	-	-	PUNCT
dv13zs28s33	14	18	seq	seq	PROPN
dv13zs28s33	14	19	data	datum	NOUN
dv13zs28s33	14	20	and	and	CCONJ
dv13zs28s33	14	21	removing	remove	VERB
dv13zs28s33	14	22	it	it	PRON
dv13zs28s33	14	23	to	to	PART
dv13zs28s33	14	24	improve	improve	VERB
dv13zs28s33	14	25	downstream	downstream	ADJ
dv13zs28s33	14	26	analysis	analysis	NOUN
dv13zs28s33	14	27	.	.	PUNCT
dv13zs28s33	15	1	this	this	DET
dv13zs28s33	15	2	method	method	NOUN
dv13zs28s33	15	3	,	,	PUNCT
dv13zs28s33	15	4	ccremover	ccremover	PROPN
dv13zs28s33	15	5	,	,	PUNCT
dv13zs28s33	15	6	makes	make	VERB
dv13zs28s33	15	7	use	use	NOUN
dv13zs28s33	15	8	of	of	ADP
dv13zs28s33	15	9	prior	prior	ADJ
dv13zs28s33	15	10	knowledge	knowledge	NOUN
dv13zs28s33	15	11	about	about	ADP
dv13zs28s33	15	12	which	which	PRON
dv13zs28s33	15	13	genes	gene	NOUN
dv13zs28s33	15	14	are	be	AUX
dv13zs28s33	15	15	related	relate	VERB
dv13zs28s33	15	16	to	to	ADP
dv13zs28s33	15	17	the	the	DET
dv13zs28s33	15	18	cell	cell	NOUN
dv13zs28s33	15	19	-	-	PUNCT
dv13zs28s33	15	20	cycle	cycle	NOUN
dv13zs28s33	15	21	.	.	PUNCT
dv13zs28s33	16	1	it	it	PRON
dv13zs28s33	16	2	first	first	ADV
dv13zs28s33	16	3	captures	capture	VERB
dv13zs28s33	16	4	the	the	DET
dv13zs28s33	16	5	sources	source	NOUN
dv13zs28s33	16	6	of	of	ADP
dv13zs28s33	16	7	variation	variation	NOUN
dv13zs28s33	16	8	in	in	ADP
dv13zs28s33	16	9	the	the	DET
dv13zs28s33	16	10	data	datum	NOUN
dv13zs28s33	16	11	from	from	ADP
dv13zs28s33	16	12	genes	gene	NOUN
dv13zs28s33	16	13	which	which	PRON
dv13zs28s33	16	14	are	be	AUX
dv13zs28s33	16	15	not	not	PART
dv13zs28s33	16	16	annotated	annotate	VERB
dv13zs28s33	16	17	to	to	ADP
dv13zs28s33	16	18	the	the	DET
dv13zs28s33	16	19	cycle	cycle	NOUN
dv13zs28s33	16	20	,	,	PUNCT
dv13zs28s33	16	21	then	then	ADV
dv13zs28s33	16	22	uses	use	VERB
dv13zs28s33	16	23	the	the	DET
dv13zs28s33	16	24	cell	cell	NOUN
dv13zs28s33	16	25	-	-	PUNCT
dv13zs28s33	16	26	cycle	cycle	NOUN
dv13zs28s33	16	27	genes	gene	NOUN
dv13zs28s33	16	28	to	to	PART
dv13zs28s33	16	29	test	test	VERB
dv13zs28s33	16	30	which	which	DET
dv13zs28s33	16	31	sources	source	NOUN
dv13zs28s33	16	32	of	of	ADP
dv13zs28s33	16	33	variation	variation	NOUN
dv13zs28s33	16	34	are	be	AUX
dv13zs28s33	16	35	related	relate	VERB
dv13zs28s33	16	36	to	to	ADP
dv13zs28s33	16	37	the	the	DET
dv13zs28s33	16	38	cell	cell	NOUN
dv13zs28s33	16	39	-	-	PUNCT
dv13zs28s33	16	40	cycle	cycle	NOUN
dv13zs28s33	16	41	,	,	PUNCT
dv13zs28s33	16	42	these	these	DET
dv13zs28s33	16	43	cell	cell	NOUN
dv13zs28s33	16	44	-	-	PUNCT
dv13zs28s33	16	45	cycle	cycle	NOUN
dv13zs28s33	16	46	related	relate	VERB
dv13zs28s33	16	47	signals	signal	NOUN
dv13zs28s33	16	48	are	be	AUX
dv13zs28s33	16	49	then	then	ADV
dv13zs28s33	16	50	removed	remove	VERB
dv13zs28s33	16	51	from	from	ADP
dv13zs28s33	16	52	the	the	DET
dv13zs28s33	16	53	data	datum	NOUN
dv13zs28s33	16	54	while	while	SCONJ
dv13zs28s33	16	55	other	other	ADJ
dv13zs28s33	16	56	biological	biological	ADJ
dv13zs28s33	16	57	signals	signal	NOUN
dv13zs28s33	16	58	of	of	ADP
dv13zs28s33	16	59	interest	interest	NOUN
dv13zs28s33	16	60	are	be	AUX
dv13zs28s33	16	61	preserved	preserve	VERB
dv13zs28s33	16	62	.	.	PUNCT
dv13zs28s33	17	1	the	the	DET
dv13zs28s33	17	2	effectiveness	effectiveness	NOUN
dv13zs28s33	17	3	of	of	ADP
dv13zs28s33	17	4	both	both	DET
dv13zs28s33	17	5	methods	method	NOUN
dv13zs28s33	17	6	is	be	AUX
dv13zs28s33	17	7	demonstrated	demonstrate	VERB
dv13zs28s33	17	8	through	through	ADP
dv13zs28s33	17	9	simulation	simulation	NOUN
dv13zs28s33	17	10	and	and	CCONJ
dv13zs28s33	17	11	real	real	ADJ
dv13zs28s33	17	12	data	datum	NOUN
dv13zs28s33	17	13	applications	application	NOUN
dv13zs28s33	17	14	.	.	PUNCT
dv13zs28s33	18	1	through	through	ADP
dv13zs28s33	18	2	these	these	PRON
dv13zs28s33	18	3	it	it	PRON
dv13zs28s33	18	4	is	be	AUX
dv13zs28s33	18	5	shown	show	VERB
dv13zs28s33	18	6	how	how	SCONJ
dv13zs28s33	18	7	both	both	PRON
dv13zs28s33	18	8	of	of	ADP
dv13zs28s33	18	9	the	the	DET
dv13zs28s33	18	10	methods	method	NOUN
dv13zs28s33	18	11	can	can	AUX
dv13zs28s33	18	12	enhance	enhance	VERB
dv13zs28s33	18	13	the	the	DET
dv13zs28s33	18	14	analysis	analysis	NOUN
dv13zs28s33	18	15	of	of	ADP
dv13zs28s33	18	16	scrna	scrna	PROPN
dv13zs28s33	18	17	-	-	PUNCT
dv13zs28s33	18	18	seq	seq	PROPN
dv13zs28s33	18	19	data	datum	NOUN
dv13zs28s33	18	20	and	and	CCONJ
dv13zs28s33	18	21	aid	aid	NOUN
dv13zs28s33	18	22	in	in	ADP
dv13zs28s33	18	23	the	the	DET
dv13zs28s33	18	24	unlocking	unlocking	NOUN
dv13zs28s33	18	25	of	of	ADP
dv13zs28s33	18	26	the	the	DET
dv13zs28s33	18	27	full	full	ADJ
dv13zs28s33	18	28	potential	potential	NOUN
dv13zs28s33	18	29	of	of	ADP
dv13zs28s33	18	30	scrna	scrna	PROPN
dv13zs28s33	18	31	-	-	PUNCT
dv13zs28s33	18	32	seq	seq	PROPN
dv13zs28s33	18	33	data	datum	NOUN
dv13zs28s33	18	34	.	.	PUNCT
dv13zs28s33	19	1	both	both	DET
dv13zs28s33	19	2	methods	method	NOUN
dv13zs28s33	19	3	are	be	AUX
dv13zs28s33	19	4	applicable	applicable	ADJ
dv13zs28s33	19	5	to	to	ADP
dv13zs28s33	19	6	a	a	DET
dv13zs28s33	19	7	range	range	NOUN
dv13zs28s33	19	8	of	of	ADP
dv13zs28s33	19	9	other	other	ADJ
dv13zs28s33	19	10	problems	problem	NOUN
dv13zs28s33	19	11	,	,	PUNCT
dv13zs28s33	19	12	ccremover	ccremover	NOUN
dv13zs28s33	19	13	can	can	AUX
dv13zs28s33	19	14	be	be	AUX
dv13zs28s33	19	15	applied	apply	VERB
dv13zs28s33	19	16	in	in	ADP
dv13zs28s33	19	17	any	any	DET
dv13zs28s33	19	18	situation	situation	NOUN
dv13zs28s33	19	19	where	where	SCONJ
dv13zs28s33	19	20	an	an	DET
dv13zs28s33	19	21	unwanted	unwanted	ADJ
dv13zs28s33	19	22	source	source	NOUN
dv13zs28s33	19	23	of	of	ADP
dv13zs28s33	19	24	variation	variation	NOUN
dv13zs28s33	19	25	is	be	AUX
dv13zs28s33	19	26	known	know	VERB
dv13zs28s33	19	27	to	to	PART
dv13zs28s33	19	28	have	have	VERB
dv13zs28s33	19	29	a	a	DET
dv13zs28s33	19	30	stronger	strong	ADJ
dv13zs28s33	19	31	effect	effect	NOUN
dv13zs28s33	19	32	on	on	ADP
dv13zs28s33	19	33	a	a	DET
dv13zs28s33	19	34	subset	subset	NOUN
dv13zs28s33	19	35	of	of	ADP
dv13zs28s33	19	36	features	feature	NOUN
dv13zs28s33	19	37	.	.	PUNCT
dv13zs28s33	20	1	sparsedc	sparsedc	PROPN
dv13zs28s33	20	2	is	be	AUX
dv13zs28s33	20	3	applicable	applicable	ADJ
dv13zs28s33	20	4	to	to	ADP
dv13zs28s33	20	5	any	any	DET
dv13zs28s33	20	6	situation	situation	NOUN
dv13zs28s33	20	7	where	where	SCONJ
dv13zs28s33	20	8	the	the	DET
dv13zs28s33	20	9	simultaneous	simultaneous	ADJ
dv13zs28s33	20	10	analysis	analysis	NOUN
dv13zs28s33	20	11	of	of	ADP
dv13zs28s33	20	12	multiple	multiple	ADJ
dv13zs28s33	20	13	populations	population	NOUN
dv13zs28s33	20	14	consisting	consist	VERB
dv13zs28s33	20	15	of	of	ADP
dv13zs28s33	20	16	independent	independent	ADJ
dv13zs28s33	20	17	observations	observation	NOUN
dv13zs28s33	20	18	is	be	AUX
dv13zs28s33	20	19	undertaken	undertake	VERB
dv13zs28s33	20	20	,	,	PUNCT
dv13zs28s33	20	21	such	such	ADJ
dv13zs28s33	20	22	as	as	ADP
dv13zs28s33	20	23	examining	examine	VERB
dv13zs28s33	20	24	data	datum	NOUN
dv13zs28s33	20	25	on	on	ADP
dv13zs28s33	20	26	individuals	individual	NOUN
dv13zs28s33	20	27	from	from	ADP
dv13zs28s33	20	28	different	different	ADJ
dv13zs28s33	20	29	cities	city	NOUN
dv13zs28s33	20	30	or	or	CCONJ
dv13zs28s33	20	31	countries	country	NOUN
dv13zs28s33	20	32	,	,	PUNCT
dv13zs28s33	20	33	or	or	CCONJ
dv13zs28s33	20	34	stock	stock	NOUN
dv13zs28s33	20	35	market	market	NOUN
dv13zs28s33	20	36	data	datum	NOUN
dv13zs28s33	20	37	taken	take	VERB
dv13zs28s33	20	38	from	from	ADP
dv13zs28s33	20	39	an	an	DET
dv13zs28s33	20	40	index	index	NOUN
dv13zs28s33	20	41	at	at	ADP
dv13zs28s33	20	42	different	different	ADJ
dv13zs28s33	20	43	periods	period	NOUN
dv13zs28s33	20	44	of	of	ADP
dv13zs28s33	20	45	time	time	NOUN
dv13zs28s33	20	46	.	.	PUNCT