id	sid	tid	token	lemma	pos
m326m042z2v	1	1	the	the	DET
m326m042z2v	1	2	development	development	NOUN
m326m042z2v	1	3	of	of	ADP
m326m042z2v	1	4	the	the	DET
m326m042z2v	1	5	high	high	ADJ
m326m042z2v	1	6	-	-	PUNCT
m326m042z2v	1	7	throughput	throughput	NOUN
m326m042z2v	1	8	rna	rna	NOUN
m326m042z2v	1	9	-	-	PUNCT
m326m042z2v	1	10	sequencing	sequence	VERB
m326m042z2v	1	11	(	(	PUNCT
m326m042z2v	1	12	rna	rna	PROPN
m326m042z2v	1	13	-	-	PUNCT
m326m042z2v	1	14	seq	seq	PROPN
m326m042z2v	1	15	)	)	PUNCT
m326m042z2v	1	16	technique	technique	NOUN
m326m042z2v	1	17	at	at	ADP
m326m042z2v	1	18	the	the	DET
m326m042z2v	1	19	single	single	ADJ
m326m042z2v	1	20	-	-	PUNCT
m326m042z2v	1	21	cell	cell	NOUN
m326m042z2v	1	22	level	level	NOUN
m326m042z2v	1	23	enables	enable	VERB
m326m042z2v	1	24	the	the	DET
m326m042z2v	1	25	measurement	measurement	NOUN
m326m042z2v	1	26	of	of	ADP
m326m042z2v	1	27	gene	gene	NOUN
m326m042z2v	1	28	expression	expression	NOUN
m326m042z2v	1	29	in	in	ADP
m326m042z2v	1	30	a	a	DET
m326m042z2v	1	31	large	large	ADJ
m326m042z2v	1	32	number	number	NOUN
m326m042z2v	1	33	of	of	ADP
m326m042z2v	1	34	individual	individual	ADJ
m326m042z2v	1	35	cells	cell	NOUN
m326m042z2v	1	36	simultaneously	simultaneously	ADV
m326m042z2v	1	37	.	.	PUNCT
m326m042z2v	2	1	computational	computational	ADJ
m326m042z2v	2	2	methods	method	NOUN
m326m042z2v	2	3	previously	previously	ADV
m326m042z2v	2	4	developed	develop	VERB
m326m042z2v	2	5	for	for	ADP
m326m042z2v	2	6	the	the	DET
m326m042z2v	2	7	regular	regular	ADJ
m326m042z2v	2	8	(	(	PUNCT
m326m042z2v	2	9	bulk	bulk	NOUN
m326m042z2v	2	10	-	-	PUNCT
m326m042z2v	2	11	based	base	VERB
m326m042z2v	2	12	)	)	PUNCT
m326m042z2v	2	13	rna	rna	PROPN
m326m042z2v	2	14	-	-	PUNCT
m326m042z2v	2	15	seq	seq	PROPN
m326m042z2v	2	16	data	datum	NOUN
m326m042z2v	2	17	analysis	analysis	NOUN
m326m042z2v	2	18	often	often	ADV
m326m042z2v	2	19	have	have	VERB
m326m042z2v	2	20	insufficient	insufficient	ADJ
m326m042z2v	2	21	power	power	NOUN
m326m042z2v	2	22	on	on	ADP
m326m042z2v	2	23	single	single	ADJ
m326m042z2v	2	24	-	-	PUNCT
m326m042z2v	2	25	cell	cell	NOUN
m326m042z2v	2	26	data	datum	NOUN
m326m042z2v	2	27	,	,	PUNCT
m326m042z2v	2	28	due	due	ADP
m326m042z2v	2	29	to	to	ADP
m326m042z2v	2	30	the	the	DET
m326m042z2v	2	31	high	high	ADJ
m326m042z2v	2	32	sparsity	sparsity	NOUN
m326m042z2v	2	33	nature	nature	NOUN
m326m042z2v	2	34	and	and	CCONJ
m326m042z2v	2	35	the	the	DET
m326m042z2v	2	36	large	large	ADJ
m326m042z2v	2	37	variance	variance	NOUN
m326m042z2v	2	38	of	of	ADP
m326m042z2v	2	39	single	single	ADJ
m326m042z2v	2	40	-	-	PUNCT
m326m042z2v	2	41	cell	cell	NOUN
m326m042z2v	2	42	data	datum	NOUN
m326m042z2v	2	43	.	.	PUNCT
m326m042z2v	3	1	in	in	ADP
m326m042z2v	3	2	this	this	DET
m326m042z2v	3	3	dissertation	dissertation	NOUN
m326m042z2v	3	4	,	,	PUNCT
m326m042z2v	3	5	we	we	PRON
m326m042z2v	3	6	present	present	VERB
m326m042z2v	3	7	three	three	NUM
m326m042z2v	3	8	methods	method	NOUN
m326m042z2v	3	9	focusing	focus	VERB
m326m042z2v	3	10	on	on	ADP
m326m042z2v	3	11	two	two	NUM
m326m042z2v	3	12	central	central	ADJ
m326m042z2v	3	13	problems	problem	NOUN
m326m042z2v	3	14	of	of	ADP
m326m042z2v	3	15	single	single	ADJ
m326m042z2v	3	16	-	-	PUNCT
m326m042z2v	3	17	cell	cell	NOUN
m326m042z2v	3	18	rna	rna	PROPN
m326m042z2v	3	19	-	-	PUNCT
m326m042z2v	3	20	seq	seq	PROPN
m326m042z2v	3	21	(	(	PUNCT
m326m042z2v	3	22	scrna	scrna	PROPN
m326m042z2v	3	23	-	-	PUNCT
m326m042z2v	3	24	seq	seq	PROPN
m326m042z2v	3	25	)	)	PUNCT
m326m042z2v	3	26	data	datum	NOUN
m326m042z2v	3	27	analysis	analysis	NOUN
m326m042z2v	3	28	:	:	PUNCT
m326m042z2v	3	29	classification	classification	NOUN
m326m042z2v	3	30	of	of	ADP
m326m042z2v	3	31	samples	sample	NOUN
m326m042z2v	3	32	and	and	CCONJ
m326m042z2v	3	33	differential	differential	ADJ
m326m042z2v	3	34	expression	expression	NOUN
m326m042z2v	3	35	(	(	PUNCT
m326m042z2v	3	36	de	de	X
m326m042z2v	3	37	)	)	PUNCT
m326m042z2v	3	38	analysis	analysis	NOUN
m326m042z2v	3	39	of	of	ADP
m326m042z2v	3	40	genes.the	genes.the	DET
m326m042z2v	3	41	first	first	ADJ
m326m042z2v	3	42	method	method	NOUN
m326m042z2v	3	43	is	be	AUX
m326m042z2v	3	44	a	a	DET
m326m042z2v	3	45	`	`	PUNCT
m326m042z2v	3	46	`	`	PUNCT
m326m042z2v	3	47	scale	scale	NOUN
m326m042z2v	3	48	-	-	PUNCT
m326m042z2v	3	49	invariant	invariant	ADJ
m326m042z2v	3	50	''	''	PUNCT
m326m042z2v	3	51	classifier	classifier	NOUN
m326m042z2v	3	52	used	use	VERB
m326m042z2v	3	53	to	to	PART
m326m042z2v	3	54	classify	classify	VERB
m326m042z2v	3	55	cells	cell	NOUN
m326m042z2v	3	56	/	/	SYM
m326m042z2v	3	57	samples	sample	NOUN
m326m042z2v	3	58	into	into	ADP
m326m042z2v	3	59	different	different	ADJ
m326m042z2v	3	60	groups	group	NOUN
m326m042z2v	3	61	based	base	VERB
m326m042z2v	3	62	on	on	ADP
m326m042z2v	3	63	their	their	PRON
m326m042z2v	3	64	gene	gene	NOUN
m326m042z2v	3	65	expression	expression	NOUN
m326m042z2v	3	66	.	.	PUNCT
m326m042z2v	4	1	scaling	scale	VERB
m326m042z2v	4	2	by	by	ADP
m326m042z2v	4	3	sequencing	sequence	VERB
m326m042z2v	4	4	depth	depth	NOUN
m326m042z2v	4	5	is	be	AUX
m326m042z2v	4	6	usually	usually	ADV
m326m042z2v	4	7	the	the	DET
m326m042z2v	4	8	first	first	ADJ
m326m042z2v	4	9	step	step	NOUN
m326m042z2v	4	10	for	for	ADP
m326m042z2v	4	11	any	any	DET
m326m042z2v	4	12	analysis	analysis	NOUN
m326m042z2v	4	13	of	of	ADP
m326m042z2v	4	14	rna	rna	PROPN
m326m042z2v	4	15	-	-	PUNCT
m326m042z2v	4	16	seq	seq	PROPN
m326m042z2v	4	17	data	datum	NOUN
m326m042z2v	4	18	,	,	PUNCT
m326m042z2v	4	19	but	but	CCONJ
m326m042z2v	4	20	estimating	estimate	VERB
m326m042z2v	4	21	sequencing	sequence	VERB
m326m042z2v	4	22	depth	depth	NOUN
m326m042z2v	4	23	accurately	accurately	ADV
m326m042z2v	4	24	can	can	AUX
m326m042z2v	4	25	be	be	AUX
m326m042z2v	4	26	difficult	difficult	ADJ
m326m042z2v	4	27	,	,	PUNCT
m326m042z2v	4	28	especially	especially	ADV
m326m042z2v	4	29	for	for	ADP
m326m042z2v	4	30	single	single	ADJ
m326m042z2v	4	31	-	-	PUNCT
m326m042z2v	4	32	cell	cell	NOUN
m326m042z2v	4	33	data	datum	NOUN
m326m042z2v	4	34	,	,	PUNCT
m326m042z2v	4	35	which	which	PRON
m326m042z2v	4	36	may	may	AUX
m326m042z2v	4	37	influence	influence	VERB
m326m042z2v	4	38	the	the	DET
m326m042z2v	4	39	validity	validity	NOUN
m326m042z2v	4	40	of	of	ADP
m326m042z2v	4	41	downstream	downstream	ADJ
m326m042z2v	4	42	analysis	analysis	NOUN
m326m042z2v	4	43	.	.	PUNCT
m326m042z2v	5	1	we	we	PRON
m326m042z2v	5	2	eliminate	eliminate	VERB
m326m042z2v	5	3	the	the	DET
m326m042z2v	5	4	need	need	NOUN
m326m042z2v	5	5	of	of	ADP
m326m042z2v	5	6	scaling	scale	VERB
m326m042z2v	5	7	completely	completely	ADV
m326m042z2v	5	8	and	and	CCONJ
m326m042z2v	5	9	enable	enable	ADJ
m326m042z2v	5	10	analyzing	analyze	VERB
m326m042z2v	5	11	using	use	VERB
m326m042z2v	5	12	the	the	DET
m326m042z2v	5	13	original	original	ADJ
m326m042z2v	5	14	count	count	NOUN
m326m042z2v	5	15	data	datum	NOUN
m326m042z2v	5	16	directly	directly	ADV
m326m042z2v	5	17	by	by	ADP
m326m042z2v	5	18	developing	develop	VERB
m326m042z2v	5	19	a	a	DET
m326m042z2v	5	20	scale	scale	ADJ
m326m042z2v	5	21	-	-	PUNCT
m326m042z2v	5	22	invariant	invariant	ADJ
m326m042z2v	5	23	classifier	classifier	NOUN
m326m042z2v	5	24	,	,	PUNCT
m326m042z2v	5	25	which	which	PRON
m326m042z2v	5	26	gives	give	VERB
m326m042z2v	5	27	the	the	DET
m326m042z2v	5	28	same	same	ADJ
m326m042z2v	5	29	result	result	NOUN
m326m042z2v	5	30	under	under	ADP
m326m042z2v	5	31	different	different	ADJ
m326m042z2v	5	32	(	(	PUNCT
m326m042z2v	5	33	arbitrary	arbitrary	ADJ
m326m042z2v	5	34	)	)	PUNCT
m326m042z2v	5	35	estimates	estimate	NOUN
m326m042z2v	5	36	of	of	ADP
m326m042z2v	5	37	sequencing	sequence	VERB
m326m042z2v	5	38	depth	depth	NOUN
m326m042z2v	5	39	.	.	PUNCT
m326m042z2v	6	1	meanwhile	meanwhile	ADV
m326m042z2v	6	2	,	,	PUNCT
m326m042z2v	6	3	this	this	DET
m326m042z2v	6	4	deep	deep	ADJ
m326m042z2v	6	5	-	-	PUNCT
m326m042z2v	6	6	neural	neural	ADJ
m326m042z2v	6	7	-	-	PUNCT
m326m042z2v	6	8	network	network	NOUN
m326m042z2v	6	9	-	-	PUNCT
m326m042z2v	6	10	based	base	VERB
m326m042z2v	6	11	classifier	classifier	NOUN
m326m042z2v	6	12	is	be	AUX
m326m042z2v	6	13	able	able	ADJ
m326m042z2v	6	14	to	to	PART
m326m042z2v	6	15	achieve	achieve	VERB
m326m042z2v	6	16	higher	high	ADJ
m326m042z2v	6	17	classification	classification	NOUN
m326m042z2v	6	18	accuracy	accuracy	NOUN
m326m042z2v	6	19	compared	compare	VERB
m326m042z2v	6	20	to	to	ADP
m326m042z2v	6	21	previous	previous	ADJ
m326m042z2v	6	22	classifiers	classifier	NOUN
m326m042z2v	6	23	that	that	PRON
m326m042z2v	6	24	require	require	VERB
m326m042z2v	6	25	scaling.the	scaling.the	DET
m326m042z2v	6	26	second	second	ADJ
m326m042z2v	6	27	method	method	NOUN
m326m042z2v	6	28	is	be	AUX
m326m042z2v	6	29	proposed	propose	VERB
m326m042z2v	6	30	for	for	ADP
m326m042z2v	6	31	de	de	X
m326m042z2v	6	32	analysis	analysis	NOUN
m326m042z2v	6	33	of	of	ADP
m326m042z2v	6	34	scrna	scrna	PROPN
m326m042z2v	6	35	-	-	PUNCT
m326m042z2v	6	36	seq	seq	PROPN
m326m042z2v	6	37	data	datum	NOUN
m326m042z2v	6	38	.	.	PUNCT
m326m042z2v	7	1	de	de	X
m326m042z2v	7	2	analysis	analysis	NOUN
m326m042z2v	7	3	identifies	identify	VERB
m326m042z2v	7	4	genes	gene	NOUN
m326m042z2v	7	5	of	of	ADP
m326m042z2v	7	6	which	which	PRON
m326m042z2v	7	7	the	the	DET
m326m042z2v	7	8	expression	expression	NOUN
m326m042z2v	7	9	level	level	NOUN
m326m042z2v	7	10	is	be	AUX
m326m042z2v	7	11	different	different	ADJ
m326m042z2v	7	12	from	from	ADP
m326m042z2v	7	13	biological	biological	ADJ
m326m042z2v	7	14	groups	group	NOUN
m326m042z2v	7	15	to	to	ADP
m326m042z2v	7	16	biological	biological	ADJ
m326m042z2v	7	17	groups	group	NOUN
m326m042z2v	7	18	.	.	PUNCT
m326m042z2v	8	1	most	most	ADJ
m326m042z2v	8	2	of	of	ADP
m326m042z2v	8	3	existing	exist	VERB
m326m042z2v	8	4	approaches	approach	NOUN
m326m042z2v	8	5	detect	detect	VERB
m326m042z2v	8	6	the	the	DET
m326m042z2v	8	7	mean	mean	ADJ
m326m042z2v	8	8	difference	difference	NOUN
m326m042z2v	8	9	in	in	ADP
m326m042z2v	8	10	expression	expression	NOUN
m326m042z2v	8	11	levels	level	NOUN
m326m042z2v	8	12	in	in	ADP
m326m042z2v	8	13	different	different	ADJ
m326m042z2v	8	14	groups	group	NOUN
m326m042z2v	8	15	,	,	PUNCT
m326m042z2v	8	16	our	our	PRON
m326m042z2v	8	17	approach	approach	NOUN
m326m042z2v	8	18	,	,	PUNCT
m326m042z2v	8	19	named	name	VERB
m326m042z2v	8	20	fastde	fastde	PROPN
m326m042z2v	8	21	,	,	PUNCT
m326m042z2v	8	22	instead	instead	ADV
m326m042z2v	8	23	detects	detect	VERB
m326m042z2v	8	24	changes	change	NOUN
m326m042z2v	8	25	in	in	ADP
m326m042z2v	8	26	distributions	distribution	NOUN
m326m042z2v	8	27	.	.	PUNCT
m326m042z2v	9	1	further	far	ADV
m326m042z2v	9	2	,	,	PUNCT
m326m042z2v	9	3	fastde	fastde	PROPN
m326m042z2v	9	4	is	be	AUX
m326m042z2v	9	5	capable	capable	ADJ
m326m042z2v	9	6	of	of	ADP
m326m042z2v	9	7	handling	handle	VERB
m326m042z2v	9	8	data	datum	NOUN
m326m042z2v	9	9	from	from	ADP
m326m042z2v	9	10	multiple	multiple	ADJ
m326m042z2v	9	11	nominal	nominal	ADJ
m326m042z2v	9	12	or	or	CCONJ
m326m042z2v	9	13	ordinal	ordinal	ADJ
m326m042z2v	9	14	biological	biological	ADJ
m326m042z2v	9	15	conditions	condition	NOUN
m326m042z2v	9	16	,	,	PUNCT
m326m042z2v	9	17	and	and	CCONJ
m326m042z2v	9	18	it	it	PRON
m326m042z2v	9	19	provides	provide	VERB
m326m042z2v	9	20	an	an	DET
m326m042z2v	9	21	intuitive	intuitive	ADJ
m326m042z2v	9	22	visualization	visualization	NOUN
m326m042z2v	9	23	to	to	PART
m326m042z2v	9	24	facilitate	facilitate	VERB
m326m042z2v	9	25	the	the	DET
m326m042z2v	9	26	interpretation	interpretation	NOUN
m326m042z2v	9	27	of	of	ADP
m326m042z2v	9	28	de	de	X
m326m042z2v	9	29	results.the	results.the	DET
m326m042z2v	9	30	third	third	ADJ
m326m042z2v	9	31	method	method	NOUN
m326m042z2v	9	32	we	we	PRON
m326m042z2v	9	33	present	present	VERB
m326m042z2v	9	34	is	be	AUX
m326m042z2v	9	35	for	for	ADP
m326m042z2v	9	36	post	post	ADJ
m326m042z2v	9	37	-	-	ADJ
m326m042z2v	9	38	clustering	clustering	ADJ
m326m042z2v	9	39	de	de	X
m326m042z2v	9	40	analysis	analysis	NOUN
m326m042z2v	9	41	of	of	ADP
m326m042z2v	9	42	scrna	scrna	PROPN
m326m042z2v	9	43	-	-	PUNCT
m326m042z2v	9	44	seq	seq	PROPN
m326m042z2v	9	45	data	datum	NOUN
m326m042z2v	9	46	.	.	PUNCT
m326m042z2v	10	1	different	different	ADJ
m326m042z2v	10	2	from	from	ADP
m326m042z2v	10	3	de	de	X
m326m042z2v	10	4	analysis	analysis	NOUN
m326m042z2v	10	5	of	of	ADP
m326m042z2v	10	6	the	the	DET
m326m042z2v	10	7	bulk	bulk	ADV
m326m042z2v	10	8	-	-	PUNCT
m326m042z2v	10	9	based	base	VERB
m326m042z2v	10	10	rna	rna	PROPN
m326m042z2v	10	11	-	-	PUNCT
m326m042z2v	10	12	seq	seq	PROPN
m326m042z2v	10	13	data	datum	NOUN
m326m042z2v	10	14	,	,	PUNCT
m326m042z2v	10	15	where	where	SCONJ
m326m042z2v	10	16	the	the	DET
m326m042z2v	10	17	grouping	grouping	NOUN
m326m042z2v	10	18	of	of	ADP
m326m042z2v	10	19	samples	sample	NOUN
m326m042z2v	10	20	is	be	AUX
m326m042z2v	10	21	known	know	VERB
m326m042z2v	10	22	beforehand	beforehand	ADV
m326m042z2v	10	23	,	,	PUNCT
m326m042z2v	10	24	the	the	DET
m326m042z2v	10	25	grouping	grouping	NOUN
m326m042z2v	10	26	of	of	ADP
m326m042z2v	10	27	samples	sample	NOUN
m326m042z2v	10	28	(	(	PUNCT
m326m042z2v	10	29	i.e.	i.e.	X
m326m042z2v	10	30	,	,	PUNCT
m326m042z2v	10	31	cells	cell	NOUN
m326m042z2v	10	32	)	)	PUNCT
m326m042z2v	10	33	is	be	AUX
m326m042z2v	10	34	computationally	computationally	ADV
m326m042z2v	10	35	inferred	infer	VERB
m326m042z2v	10	36	using	use	VERB
m326m042z2v	10	37	a	a	DET
m326m042z2v	10	38	clustering	clustering	NOUN
m326m042z2v	10	39	algorithm	algorithm	NOUN
m326m042z2v	10	40	on	on	ADP
m326m042z2v	10	41	the	the	DET
m326m042z2v	10	42	same	same	ADJ
m326m042z2v	10	43	data	datum	NOUN
m326m042z2v	10	44	.	.	PUNCT
m326m042z2v	11	1	this	this	DET
m326m042z2v	11	2	"	"	PUNCT
m326m042z2v	11	3	double	double	ADJ
m326m042z2v	11	4	-	-	PUNCT
m326m042z2v	11	5	use	use	NOUN
m326m042z2v	11	6	"	"	PUNCT
m326m042z2v	11	7	of	of	ADP
m326m042z2v	11	8	data	datum	NOUN
m326m042z2v	11	9	brings	bring	VERB
m326m042z2v	11	10	a	a	DET
m326m042z2v	11	11	data	datum	NOUN
m326m042z2v	11	12	snooping	snooping	NOUN
m326m042z2v	11	13	problem	problem	NOUN
m326m042z2v	11	14	,	,	PUNCT
m326m042z2v	11	15	bringing	bring	VERB
m326m042z2v	11	16	a	a	DET
m326m042z2v	11	17	high	high	ADJ
m326m042z2v	11	18	risk	risk	NOUN
m326m042z2v	11	19	of	of	ADP
m326m042z2v	11	20	overwhelming	overwhelm	VERB
m326m042z2v	11	21	false	false	ADJ
m326m042z2v	11	22	positives	positive	NOUN
m326m042z2v	11	23	.	.	PUNCT
m326m042z2v	12	1	to	to	PART
m326m042z2v	12	2	lower	lower	VERB
m326m042z2v	12	3	this	this	DET
m326m042z2v	12	4	risk	risk	NOUN
m326m042z2v	12	5	,	,	PUNCT
m326m042z2v	12	6	we	we	PRON
m326m042z2v	12	7	propose	propose	VERB
m326m042z2v	12	8	a	a	DET
m326m042z2v	12	9	post	post	ADJ
m326m042z2v	12	10	-	-	ADJ
m326m042z2v	12	11	clustering	clustering	ADJ
m326m042z2v	12	12	de	de	X
m326m042z2v	12	13	test	test	NOUN
m326m042z2v	12	14	called	call	VERB
m326m042z2v	12	15	"	"	PUNCT
m326m042z2v	12	16	depoc	depoc	NOUN
m326m042z2v	12	17	"	"	PUNCT
m326m042z2v	12	18	,	,	PUNCT
m326m042z2v	12	19	which	which	PRON
m326m042z2v	12	20	takes	take	VERB
m326m042z2v	12	21	into	into	ADP
m326m042z2v	12	22	account	account	NOUN
m326m042z2v	12	23	the	the	DET
m326m042z2v	12	24	uncertainty	uncertainty	NOUN
m326m042z2v	12	25	of	of	ADP
m326m042z2v	12	26	clustering	clustering	NOUN
m326m042z2v	12	27	.	.	PUNCT
m326m042z2v	13	1	depoc	depoc	NOUN
m326m042z2v	13	2	is	be	AUX
m326m042z2v	13	3	implemented	implement	VERB
m326m042z2v	13	4	as	as	ADP
m326m042z2v	13	5	a	a	DET
m326m042z2v	13	6	modification	modification	NOUN
m326m042z2v	13	7	of	of	ADP
m326m042z2v	13	8	the	the	DET
m326m042z2v	13	9	popular	popular	ADJ
m326m042z2v	13	10	edger	edger	NOUN
m326m042z2v	13	11	software	software	NOUN
m326m042z2v	13	12	for	for	ADP
m326m042z2v	13	13	de	de	X
m326m042z2v	13	14	analysis	analysis	NOUN
m326m042z2v	13	15	,	,	PUNCT
m326m042z2v	13	16	which	which	PRON
m326m042z2v	13	17	maximizes	maximize	VERB
m326m042z2v	13	18	its	its	PRON
m326m042z2v	13	19	ease	ease	NOUN
m326m042z2v	13	20	of	of	ADP
m326m042z2v	13	21	use	use	NOUN
m326m042z2v	13	22	.	.	PUNCT
m326m042z2v	14	1	we	we	PRON
m326m042z2v	14	2	study	study	VERB
m326m042z2v	14	3	the	the	DET
m326m042z2v	14	4	theoretical	theoretical	ADJ
m326m042z2v	14	5	properties	property	NOUN
m326m042z2v	14	6	of	of	ADP
m326m042z2v	14	7	depoc	depoc	NOUN
m326m042z2v	14	8	and	and	CCONJ
m326m042z2v	14	9	show	show	VERB
m326m042z2v	14	10	that	that	SCONJ
m326m042z2v	14	11	depoc	depoc	NOUN
m326m042z2v	14	12	typically	typically	ADV
m326m042z2v	14	13	gives	give	VERB
m326m042z2v	14	14	more	more	ADV
m326m042z2v	14	15	conservative	conservative	ADJ
m326m042z2v	14	16	p	p	NOUN
m326m042z2v	14	17	-	-	PUNCT
m326m042z2v	14	18	values	value	NOUN
m326m042z2v	14	19	than	than	ADP
m326m042z2v	14	20	edger	edger	NOUN
m326m042z2v	14	21	.	.	PUNCT