id	sid	tid	token	lemma	pos
9g54xg97n5m	1	1	the	the	DET
9g54xg97n5m	1	2	studies	study	NOUN
9g54xg97n5m	1	3	of	of	ADP
9g54xg97n5m	1	4	statistics	statistic	NOUN
9g54xg97n5m	1	5	and	and	CCONJ
9g54xg97n5m	1	6	biology	biology	NOUN
9g54xg97n5m	1	7	are	be	AUX
9g54xg97n5m	1	8	interdependent	interdependent	ADJ
9g54xg97n5m	1	9	and	and	CCONJ
9g54xg97n5m	1	10	mutually	mutually	ADV
9g54xg97n5m	1	11	reinforcing	reinforce	VERB
9g54xg97n5m	1	12	.	.	PUNCT
9g54xg97n5m	2	1	breakthroughs	breakthrough	NOUN
9g54xg97n5m	2	2	in	in	ADP
9g54xg97n5m	2	3	biology	biology	NOUN
9g54xg97n5m	2	4	lead	lead	VERB
9g54xg97n5m	2	5	to	to	ADP
9g54xg97n5m	2	6	the	the	DET
9g54xg97n5m	2	7	demand	demand	NOUN
9g54xg97n5m	2	8	for	for	ADP
9g54xg97n5m	2	9	novel	novel	ADJ
9g54xg97n5m	2	10	statistical	statistical	ADJ
9g54xg97n5m	2	11	tools	tool	NOUN
9g54xg97n5m	2	12	,	,	PUNCT
9g54xg97n5m	2	13	and	and	CCONJ
9g54xg97n5m	2	14	innovative	innovative	ADJ
9g54xg97n5m	2	15	data	datum	NOUN
9g54xg97n5m	2	16	analysis	analysis	NOUN
9g54xg97n5m	2	17	methods	method	NOUN
9g54xg97n5m	2	18	contribute	contribute	VERB
9g54xg97n5m	2	19	to	to	ADP
9g54xg97n5m	2	20	new	new	ADJ
9g54xg97n5m	2	21	findings	finding	NOUN
9g54xg97n5m	2	22	in	in	ADP
9g54xg97n5m	2	23	biology	biology	NOUN
9g54xg97n5m	2	24	.	.	PUNCT
9g54xg97n5m	3	1	in	in	ADP
9g54xg97n5m	3	2	this	this	DET
9g54xg97n5m	3	3	thesis	thesis	NOUN
9g54xg97n5m	3	4	,	,	PUNCT
9g54xg97n5m	3	5	my	my	PRON
9g54xg97n5m	3	6	efforts	effort	NOUN
9g54xg97n5m	3	7	join	join	VERB
9g54xg97n5m	3	8	the	the	DET
9g54xg97n5m	3	9	exploration	exploration	NOUN
9g54xg97n5m	3	10	of	of	ADP
9g54xg97n5m	3	11	this	this	DET
9g54xg97n5m	3	12	actively	actively	ADV
9g54xg97n5m	3	13	studied	study	VERB
9g54xg97n5m	3	14	area	area	NOUN
9g54xg97n5m	3	15	and	and	CCONJ
9g54xg97n5m	3	16	result	result	VERB
9g54xg97n5m	3	17	in	in	ADP
9g54xg97n5m	3	18	two	two	NUM
9g54xg97n5m	3	19	new	new	ADJ
9g54xg97n5m	3	20	data	datum	NOUN
9g54xg97n5m	3	21	mining	mining	NOUN
9g54xg97n5m	3	22	methods	method	NOUN
9g54xg97n5m	3	23	that	that	PRON
9g54xg97n5m	3	24	address	address	VERB
9g54xg97n5m	3	25	problems	problem	NOUN
9g54xg97n5m	3	26	arising	arise	VERB
9g54xg97n5m	3	27	from	from	ADP
9g54xg97n5m	3	28	biological	biological	ADJ
9g54xg97n5m	3	29	data	datum	NOUN
9g54xg97n5m	3	30	.	.	PUNCT
9g54xg97n5m	4	1	their	their	PRON
9g54xg97n5m	4	2	applications	application	NOUN
9g54xg97n5m	4	3	are	be	AUX
9g54xg97n5m	4	4	not	not	PART
9g54xg97n5m	4	5	limited	limit	VERB
9g54xg97n5m	4	6	to	to	ADP
9g54xg97n5m	4	7	biological	biological	ADJ
9g54xg97n5m	4	8	data	datum	NOUN
9g54xg97n5m	4	9	but	but	CCONJ
9g54xg97n5m	4	10	also	also	ADV
9g54xg97n5m	4	11	to	to	ADP
9g54xg97n5m	4	12	data	datum	NOUN
9g54xg97n5m	4	13	from	from	ADP
9g54xg97n5m	4	14	other	other	ADJ
9g54xg97n5m	4	15	fields	field	NOUN
9g54xg97n5m	4	16	.	.	PUNCT
9g54xg97n5m	5	1	the	the	DET
9g54xg97n5m	5	2	first	first	ADJ
9g54xg97n5m	5	3	method	method	NOUN
9g54xg97n5m	5	4	relates	relate	VERB
9g54xg97n5m	5	5	to	to	ADP
9g54xg97n5m	5	6	the	the	DET
9g54xg97n5m	5	7	task	task	NOUN
9g54xg97n5m	5	8	of	of	ADP
9g54xg97n5m	5	9	assigning	assign	VERB
9g54xg97n5m	5	10	samples	sample	NOUN
9g54xg97n5m	5	11	to	to	PART
9g54xg97n5m	5	12	pre	pre	VERB
9g54xg97n5m	5	13	-	-	ADJ
9g54xg97n5m	5	14	defined	define	VERB
9g54xg97n5m	5	15	groups	group	NOUN
9g54xg97n5m	5	16	.	.	PUNCT
9g54xg97n5m	6	1	a	a	DET
9g54xg97n5m	6	2	simple	simple	ADJ
9g54xg97n5m	6	3	and	and	CCONJ
9g54xg97n5m	6	4	straightforward	straightforward	ADJ
9g54xg97n5m	6	5	approach	approach	NOUN
9g54xg97n5m	6	6	for	for	ADP
9g54xg97n5m	6	7	this	this	DET
9g54xg97n5m	6	8	task	task	NOUN
9g54xg97n5m	6	9	would	would	AUX
9g54xg97n5m	6	10	be	be	AUX
9g54xg97n5m	6	11	to	to	PART
9g54xg97n5m	6	12	train	train	VERB
9g54xg97n5m	6	13	a	a	DET
9g54xg97n5m	6	14	classifier	classifier	NOUN
9g54xg97n5m	6	15	on	on	ADP
9g54xg97n5m	6	16	a	a	DET
9g54xg97n5m	6	17	reference	reference	NOUN
9g54xg97n5m	6	18	dataset	dataset	NOUN
9g54xg97n5m	6	19	with	with	ADP
9g54xg97n5m	6	20	known	known	ADJ
9g54xg97n5m	6	21	group	group	NOUN
9g54xg97n5m	6	22	labels	label	NOUN
9g54xg97n5m	6	23	and	and	CCONJ
9g54xg97n5m	6	24	then	then	ADV
9g54xg97n5m	6	25	use	use	VERB
9g54xg97n5m	6	26	this	this	DET
9g54xg97n5m	6	27	classifier	classifier	NOUN
9g54xg97n5m	6	28	to	to	PART
9g54xg97n5m	6	29	classify	classify	VERB
9g54xg97n5m	6	30	the	the	DET
9g54xg97n5m	6	31	target	target	NOUN
9g54xg97n5m	6	32	dataset	dataset	NOUN
9g54xg97n5m	6	33	at	at	ADP
9g54xg97n5m	6	34	hand	hand	NOUN
9g54xg97n5m	6	35	.	.	PUNCT
9g54xg97n5m	7	1	however	however	ADV
9g54xg97n5m	7	2	,	,	PUNCT
9g54xg97n5m	7	3	the	the	DET
9g54xg97n5m	7	4	disadvantage	disadvantage	NOUN
9g54xg97n5m	7	5	of	of	ADP
9g54xg97n5m	7	6	this	this	DET
9g54xg97n5m	7	7	approach	approach	NOUN
9g54xg97n5m	7	8	is	be	AUX
9g54xg97n5m	7	9	obvious	obvious	ADJ
9g54xg97n5m	7	10	.	.	PUNCT
9g54xg97n5m	8	1	a	a	DET
9g54xg97n5m	8	2	reference	reference	NOUN
9g54xg97n5m	8	3	dataset	dataset	NOUN
9g54xg97n5m	8	4	is	be	AUX
9g54xg97n5m	8	5	not	not	PART
9g54xg97n5m	8	6	always	always	ADV
9g54xg97n5m	8	7	available	available	ADJ
9g54xg97n5m	8	8	especially	especially	ADV
9g54xg97n5m	8	9	for	for	ADP
9g54xg97n5m	8	10	newly	newly	ADV
9g54xg97n5m	8	11	studied	study	VERB
9g54xg97n5m	8	12	problems	problem	NOUN
9g54xg97n5m	8	13	,	,	PUNCT
9g54xg97n5m	8	14	and	and	CCONJ
9g54xg97n5m	8	15	even	even	ADV
9g54xg97n5m	8	16	it	it	PRON
9g54xg97n5m	8	17	is	be	AUX
9g54xg97n5m	8	18	,	,	PUNCT
9g54xg97n5m	8	19	the	the	DET
9g54xg97n5m	8	20	transferability	transferability	NOUN
9g54xg97n5m	8	21	of	of	ADP
9g54xg97n5m	8	22	the	the	DET
9g54xg97n5m	8	23	classifier	classifier	PROPN
9g54xg97n5m	8	24	from	from	ADP
9g54xg97n5m	8	25	reference	reference	NOUN
9g54xg97n5m	8	26	dataset	dataset	NOUN
9g54xg97n5m	8	27	to	to	PART
9g54xg97n5m	8	28	target	target	VERB
9g54xg97n5m	8	29	dataset	dataset	NOUN
9g54xg97n5m	8	30	may	may	AUX
9g54xg97n5m	8	31	be	be	AUX
9g54xg97n5m	8	32	questionable	questionable	ADJ
9g54xg97n5m	8	33	when	when	SCONJ
9g54xg97n5m	8	34	there	there	PRON
9g54xg97n5m	8	35	are	be	VERB
9g54xg97n5m	8	36	differences	difference	NOUN
9g54xg97n5m	8	37	in	in	ADP
9g54xg97n5m	8	38	experimental	experimental	ADJ
9g54xg97n5m	8	39	procedures	procedure	NOUN
9g54xg97n5m	8	40	used	use	VERB
9g54xg97n5m	8	41	to	to	PART
9g54xg97n5m	8	42	generate	generate	VERB
9g54xg97n5m	8	43	these	these	DET
9g54xg97n5m	8	44	datasets	dataset	NOUN
9g54xg97n5m	8	45	.	.	PUNCT
9g54xg97n5m	9	1	in	in	ADP
9g54xg97n5m	9	2	this	this	DET
9g54xg97n5m	9	3	thesis	thesis	NOUN
9g54xg97n5m	9	4	,	,	PUNCT
9g54xg97n5m	9	5	a	a	DET
9g54xg97n5m	9	6	novel	novel	NOUN
9g54xg97n5m	9	7	semi	semi	ADJ
9g54xg97n5m	9	8	-	-	ADJ
9g54xg97n5m	9	9	supervised	supervised	ADJ
9g54xg97n5m	9	10	method	method	NOUN
9g54xg97n5m	9	11	is	be	AUX
9g54xg97n5m	9	12	introduced	introduce	VERB
9g54xg97n5m	9	13	to	to	PART
9g54xg97n5m	9	14	conduct	conduct	VERB
9g54xg97n5m	9	15	sample	sample	NOUN
9g54xg97n5m	9	16	group	group	NOUN
9g54xg97n5m	9	17	assignment	assignment	NOUN
9g54xg97n5m	9	18	,	,	PUNCT
9g54xg97n5m	9	19	not	not	PART
9g54xg97n5m	9	20	based	base	VERB
9g54xg97n5m	9	21	on	on	ADP
9g54xg97n5m	9	22	a	a	DET
9g54xg97n5m	9	23	reference	reference	NOUN
9g54xg97n5m	9	24	dataset	dataset	NOUN
9g54xg97n5m	9	25	but	but	CCONJ
9g54xg97n5m	9	26	based	base	VERB
9g54xg97n5m	9	27	on	on	ADP
9g54xg97n5m	9	28	known	know	VERB
9g54xg97n5m	9	29	information	information	NOUN
9g54xg97n5m	9	30	about	about	ADP
9g54xg97n5m	9	31	which	which	PRON
9g54xg97n5m	9	32	input	input	NOUN
9g54xg97n5m	9	33	features	feature	NOUN
9g54xg97n5m	9	34	are	be	AUX
9g54xg97n5m	9	35	important	important	ADJ
9g54xg97n5m	9	36	.	.	PUNCT
9g54xg97n5m	10	1	note	note	VERB
9g54xg97n5m	10	2	that	that	SCONJ
9g54xg97n5m	10	3	this	this	DET
9g54xg97n5m	10	4	information	information	NOUN
9g54xg97n5m	10	5	about	about	ADP
9g54xg97n5m	10	6	input	input	NOUN
9g54xg97n5m	10	7	features	feature	NOUN
9g54xg97n5m	10	8	is	be	AUX
9g54xg97n5m	10	9	`	`	PUNCT
9g54xg97n5m	10	10	`	`	PUNCT
9g54xg97n5m	10	11	qualitative	qualitative	NOUN
9g54xg97n5m	10	12	''	''	PUNCT
9g54xg97n5m	10	13	instead	instead	ADV
9g54xg97n5m	10	14	of	of	ADP
9g54xg97n5m	10	15	`	`	PUNCT
9g54xg97n5m	10	16	`	`	PUNCT
9g54xg97n5m	10	17	quantitative	quantitative	ADJ
9g54xg97n5m	10	18	''	''	PUNCT
9g54xg97n5m	10	19	.	.	PUNCT
9g54xg97n5m	11	1	compared	compare	VERB
9g54xg97n5m	11	2	to	to	ADP
9g54xg97n5m	11	3	previous	previous	ADJ
9g54xg97n5m	11	4	methods	method	NOUN
9g54xg97n5m	11	5	,	,	PUNCT
9g54xg97n5m	11	6	this	this	DET
9g54xg97n5m	11	7	method	method	NOUN
9g54xg97n5m	11	8	pays	pay	VERB
9g54xg97n5m	11	9	special	special	ADJ
9g54xg97n5m	11	10	attention	attention	NOUN
9g54xg97n5m	11	11	to	to	ADP
9g54xg97n5m	11	12	the	the	DET
9g54xg97n5m	11	13	excessive	excessive	ADJ
9g54xg97n5m	11	14	zeros	zero	NOUN
9g54xg97n5m	11	15	observed	observe	VERB
9g54xg97n5m	11	16	on	on	ADP
9g54xg97n5m	11	17	group	group	NOUN
9g54xg97n5m	11	18	-	-	PUNCT
9g54xg97n5m	11	19	specific	specific	ADJ
9g54xg97n5m	11	20	features	feature	NOUN
9g54xg97n5m	11	21	,	,	PUNCT
9g54xg97n5m	11	22	which	which	PRON
9g54xg97n5m	11	23	is	be	AUX
9g54xg97n5m	11	24	a	a	DET
9g54xg97n5m	11	25	quite	quite	ADV
9g54xg97n5m	11	26	common	common	ADJ
9g54xg97n5m	11	27	phenomenon	phenomenon	NOUN
9g54xg97n5m	11	28	in	in	ADP
9g54xg97n5m	11	29	real	real	ADJ
9g54xg97n5m	11	30	-	-	PUNCT
9g54xg97n5m	11	31	world	world	NOUN
9g54xg97n5m	11	32	data	datum	NOUN
9g54xg97n5m	11	33	such	such	ADJ
9g54xg97n5m	11	34	as	as	ADP
9g54xg97n5m	11	35	single	single	ADJ
9g54xg97n5m	11	36	-	-	PUNCT
9g54xg97n5m	11	37	cell	cell	NOUN
9g54xg97n5m	11	38	rna	rna	NOUN
9g54xg97n5m	11	39	sequencing	sequence	VERB
9g54xg97n5m	11	40	datasets	dataset	NOUN
9g54xg97n5m	11	41	.	.	PUNCT
9g54xg97n5m	12	1	these	these	DET
9g54xg97n5m	12	2	zeros	zero	NOUN
9g54xg97n5m	12	3	could	could	AUX
9g54xg97n5m	12	4	be	be	AUX
9g54xg97n5m	12	5	true	true	ADJ
9g54xg97n5m	12	6	zeros	zero	NOUN
9g54xg97n5m	12	7	due	due	ADP
9g54xg97n5m	12	8	to	to	ADP
9g54xg97n5m	12	9	the	the	DET
9g54xg97n5m	12	10	internal	internal	ADJ
9g54xg97n5m	12	11	mechanism	mechanism	NOUN
9g54xg97n5m	12	12	of	of	ADP
9g54xg97n5m	12	13	the	the	DET
9g54xg97n5m	12	14	object	object	NOUN
9g54xg97n5m	12	15	under	under	ADP
9g54xg97n5m	12	16	study	study	NOUN
9g54xg97n5m	12	17	or	or	CCONJ
9g54xg97n5m	12	18	missing	miss	VERB
9g54xg97n5m	12	19	values	value	NOUN
9g54xg97n5m	12	20	introduced	introduce	VERB
9g54xg97n5m	12	21	by	by	ADP
9g54xg97n5m	12	22	the	the	DET
9g54xg97n5m	12	23	imperfect	imperfect	ADJ
9g54xg97n5m	12	24	data	datum	NOUN
9g54xg97n5m	12	25	collecting	collect	VERB
9g54xg97n5m	12	26	techniques	technique	NOUN
9g54xg97n5m	12	27	.	.	PUNCT
9g54xg97n5m	13	1	by	by	ADP
9g54xg97n5m	13	2	designing	design	VERB
9g54xg97n5m	13	3	a	a	DET
9g54xg97n5m	13	4	mechanism	mechanism	NOUN
9g54xg97n5m	13	5	that	that	PRON
9g54xg97n5m	13	6	allows	allow	VERB
9g54xg97n5m	13	7	samples	sample	NOUN
9g54xg97n5m	13	8	to	to	PART
9g54xg97n5m	13	9	have	have	VERB
9g54xg97n5m	13	10	low	low	ADJ
9g54xg97n5m	13	11	value	value	NOUN
9g54xg97n5m	13	12	on	on	ADP
9g54xg97n5m	13	13	the	the	DET
9g54xg97n5m	13	14	group	group	NOUN
9g54xg97n5m	13	15	-	-	PUNCT
9g54xg97n5m	13	16	specific	specific	ADJ
9g54xg97n5m	13	17	features	feature	NOUN
9g54xg97n5m	13	18	and	and	CCONJ
9g54xg97n5m	13	19	borrows	borrow	VERB
9g54xg97n5m	13	20	information	information	NOUN
9g54xg97n5m	13	21	from	from	ADP
9g54xg97n5m	13	22	other	other	ADJ
9g54xg97n5m	13	23	highly	highly	ADV
9g54xg97n5m	13	24	variable	variable	ADJ
9g54xg97n5m	13	25	features	feature	NOUN
9g54xg97n5m	13	26	from	from	ADP
9g54xg97n5m	13	27	the	the	DET
9g54xg97n5m	13	28	dataset	dataset	NOUN
9g54xg97n5m	13	29	,	,	PUNCT
9g54xg97n5m	13	30	this	this	DET
9g54xg97n5m	13	31	method	method	NOUN
9g54xg97n5m	13	32	successfully	successfully	ADV
9g54xg97n5m	13	33	copes	cope	VERB
9g54xg97n5m	13	34	with	with	ADP
9g54xg97n5m	13	35	the	the	DET
9g54xg97n5m	13	36	observed	observed	ADJ
9g54xg97n5m	13	37	excessive	excessive	ADJ
9g54xg97n5m	13	38	zeros	zero	NOUN
9g54xg97n5m	13	39	and	and	CCONJ
9g54xg97n5m	13	40	improves	improve	VERB
9g54xg97n5m	13	41	group	group	NOUN
9g54xg97n5m	13	42	assignment	assignment	NOUN
9g54xg97n5m	13	43	results	result	NOUN
9g54xg97n5m	13	44	compared	compare	VERB
9g54xg97n5m	13	45	to	to	ADP
9g54xg97n5m	13	46	three	three	NUM
9g54xg97n5m	13	47	other	other	ADJ
9g54xg97n5m	13	48	methods	method	NOUN
9g54xg97n5m	13	49	on	on	ADP
9g54xg97n5m	13	50	this	this	DET
9g54xg97n5m	13	51	topic	topic	NOUN
9g54xg97n5m	13	52	,	,	PUNCT
9g54xg97n5m	13	53	which	which	PRON
9g54xg97n5m	13	54	is	be	AUX
9g54xg97n5m	13	55	demonstrated	demonstrate	VERB
9g54xg97n5m	13	56	on	on	ADP
9g54xg97n5m	13	57	both	both	DET
9g54xg97n5m	13	58	simulated	simulated	ADJ
9g54xg97n5m	13	59	and	and	CCONJ
9g54xg97n5m	13	60	real	real	ADJ
9g54xg97n5m	13	61	datasets	dataset	NOUN
9g54xg97n5m	13	62	.	.	PUNCT
9g54xg97n5m	14	1	the	the	DET
9g54xg97n5m	14	2	second	second	ADJ
9g54xg97n5m	14	3	method	method	NOUN
9g54xg97n5m	14	4	deals	deal	VERB
9g54xg97n5m	14	5	with	with	ADP
9g54xg97n5m	14	6	the	the	DET
9g54xg97n5m	14	7	challenge	challenge	NOUN
9g54xg97n5m	14	8	of	of	ADP
9g54xg97n5m	14	9	a	a	DET
9g54xg97n5m	14	10	classification	classification	NOUN
9g54xg97n5m	14	11	problem	problem	NOUN
9g54xg97n5m	14	12	when	when	SCONJ
9g54xg97n5m	14	13	the	the	DET
9g54xg97n5m	14	14	dimension	dimension	NOUN
9g54xg97n5m	14	15	of	of	ADP
9g54xg97n5m	14	16	input	input	NOUN
9g54xg97n5m	14	17	varies	vary	VERB
9g54xg97n5m	14	18	.	.	PUNCT
9g54xg97n5m	15	1	off	off	ADP
9g54xg97n5m	15	2	-	-	PUNCT
9g54xg97n5m	15	3	the	the	DET
9g54xg97n5m	15	4	-	-	PUNCT
9g54xg97n5m	15	5	shelf	shelf	NOUN
9g54xg97n5m	15	6	classifiers	classifier	NOUN
9g54xg97n5m	15	7	typically	typically	ADV
9g54xg97n5m	15	8	require	require	VERB
9g54xg97n5m	15	9	a	a	DET
9g54xg97n5m	15	10	fixed	fix	VERB
9g54xg97n5m	15	11	dimension	dimension	NOUN
9g54xg97n5m	15	12	of	of	ADP
9g54xg97n5m	15	13	input	input	NOUN
9g54xg97n5m	15	14	,	,	PUNCT
9g54xg97n5m	15	15	that	that	ADV
9g54xg97n5m	15	16	is	is	ADV
9g54xg97n5m	15	17	,	,	PUNCT
9g54xg97n5m	15	18	the	the	DET
9g54xg97n5m	15	19	numbers	number	NOUN
9g54xg97n5m	15	20	of	of	ADP
9g54xg97n5m	15	21	input	input	NOUN
9g54xg97n5m	15	22	features	feature	NOUN
9g54xg97n5m	15	23	are	be	AUX
9g54xg97n5m	15	24	the	the	DET
9g54xg97n5m	15	25	same	same	ADJ
9g54xg97n5m	15	26	for	for	ADP
9g54xg97n5m	15	27	all	all	DET
9g54xg97n5m	15	28	observations	observation	NOUN
9g54xg97n5m	15	29	.	.	PUNCT
9g54xg97n5m	16	1	in	in	ADP
9g54xg97n5m	16	2	this	this	DET
9g54xg97n5m	16	3	thesis	thesis	NOUN
9g54xg97n5m	16	4	,	,	PUNCT
9g54xg97n5m	16	5	a	a	DET
9g54xg97n5m	16	6	situation	situation	NOUN
9g54xg97n5m	16	7	when	when	SCONJ
9g54xg97n5m	16	8	the	the	DET
9g54xg97n5m	16	9	input	input	NOUN
9g54xg97n5m	16	10	dimension	dimension	NOUN
9g54xg97n5m	16	11	is	be	AUX
9g54xg97n5m	16	12	different	different	ADJ
9g54xg97n5m	16	13	from	from	ADP
9g54xg97n5m	16	14	observation	observation	NOUN
9g54xg97n5m	16	15	to	to	ADP
9g54xg97n5m	16	16	observation	observation	NOUN
9g54xg97n5m	16	17	is	be	AUX
9g54xg97n5m	16	18	considered	consider	VERB
9g54xg97n5m	16	19	.	.	PUNCT
9g54xg97n5m	17	1	as	as	ADP
9g54xg97n5m	17	2	an	an	DET
9g54xg97n5m	17	3	efficient	efficient	ADJ
9g54xg97n5m	17	4	way	way	NOUN
9g54xg97n5m	17	5	to	to	PART
9g54xg97n5m	17	6	capture	capture	VERB
9g54xg97n5m	17	7	network	network	NOUN
9g54xg97n5m	17	8	structures	structure	NOUN
9g54xg97n5m	17	9	,	,	PUNCT
9g54xg97n5m	17	10	graphlets	graphlet	NOUN
9g54xg97n5m	17	11	,	,	PUNCT
9g54xg97n5m	17	12	some	some	DET
9g54xg97n5m	17	13	small	small	ADJ
9g54xg97n5m	17	14	connected	connect	VERB
9g54xg97n5m	17	15	subgraphs	subgraph	NOUN
9g54xg97n5m	17	16	of	of	ADP
9g54xg97n5m	17	17	a	a	DET
9g54xg97n5m	17	18	large	large	ADJ
9g54xg97n5m	17	19	network	network	NOUN
9g54xg97n5m	17	20	,	,	PUNCT
9g54xg97n5m	17	21	are	be	AUX
9g54xg97n5m	17	22	used	use	VERB
9g54xg97n5m	17	23	to	to	PART
9g54xg97n5m	17	24	classify	classify	VERB
9g54xg97n5m	17	25	protein	protein	NOUN
9g54xg97n5m	17	26	structures	structure	NOUN
9g54xg97n5m	17	27	into	into	ADP
9g54xg97n5m	17	28	pre	pre	ADJ
9g54xg97n5m	17	29	-	-	ADJ
9g54xg97n5m	17	30	defined	define	VERB
9g54xg97n5m	17	31	groups	group	NOUN
9g54xg97n5m	17	32	by	by	ADP
9g54xg97n5m	17	33	extracting	extract	VERB
9g54xg97n5m	17	34	and	and	CCONJ
9g54xg97n5m	17	35	summarising	summarise	VERB
9g54xg97n5m	17	36	structural	structural	ADJ
9g54xg97n5m	17	37	features	feature	NOUN
9g54xg97n5m	17	38	from	from	ADP
9g54xg97n5m	17	39	protein	protein	NOUN
9g54xg97n5m	17	40	structure	structure	NOUN
9g54xg97n5m	17	41	network	network	NOUN
9g54xg97n5m	17	42	built	build	VERB
9g54xg97n5m	17	43	from	from	ADP
9g54xg97n5m	17	44	protein	protein	NOUN
9g54xg97n5m	17	45	3d	3d	NOUN
9g54xg97n5m	17	46	information	information	NOUN
9g54xg97n5m	17	47	.	.	PUNCT
9g54xg97n5m	18	1	the	the	DET
9g54xg97n5m	18	2	challenge	challenge	NOUN
9g54xg97n5m	18	3	arises	arise	VERB
9g54xg97n5m	18	4	from	from	ADP
9g54xg97n5m	18	5	the	the	DET
9g54xg97n5m	18	6	variable	variable	ADJ
9g54xg97n5m	18	7	-	-	PUNCT
9g54xg97n5m	18	8	size	size	NOUN
9g54xg97n5m	18	9	feature	feature	NOUN
9g54xg97n5m	18	10	of	of	ADP
9g54xg97n5m	18	11	the	the	DET
9g54xg97n5m	18	12	graphlet	graphlet	NOUN
9g54xg97n5m	18	13	-	-	PUNCT
9g54xg97n5m	18	14	based	base	VERB
9g54xg97n5m	18	15	measure	measure	NOUN
9g54xg97n5m	18	16	,	,	PUNCT
9g54xg97n5m	18	17	which	which	PRON
9g54xg97n5m	18	18	is	be	AUX
9g54xg97n5m	18	19	a	a	DET
9g54xg97n5m	18	20	matrix	matrix	NOUN
9g54xg97n5m	18	21	with	with	ADP
9g54xg97n5m	18	22	the	the	DET
9g54xg97n5m	18	23	number	number	NOUN
9g54xg97n5m	18	24	of	of	ADP
9g54xg97n5m	18	25	rows	row	NOUN
9g54xg97n5m	18	26	relates	relate	VERB
9g54xg97n5m	18	27	to	to	ADP
9g54xg97n5m	18	28	the	the	DET
9g54xg97n5m	18	29	number	number	NOUN
9g54xg97n5m	18	30	of	of	ADP
9g54xg97n5m	18	31	amino	amino	ADJ
9g54xg97n5m	18	32	acids	acid	NOUN
9g54xg97n5m	18	33	in	in	ADP
9g54xg97n5m	18	34	the	the	DET
9g54xg97n5m	18	35	corresponding	correspond	VERB
9g54xg97n5m	18	36	protein	protein	NOUN
9g54xg97n5m	18	37	chain	chain	NOUN
9g54xg97n5m	18	38	.	.	PUNCT
9g54xg97n5m	19	1	new	new	ADJ
9g54xg97n5m	19	2	approaches	approach	NOUN
9g54xg97n5m	19	3	are	be	AUX
9g54xg97n5m	19	4	needed	need	VERB
9g54xg97n5m	19	5	to	to	PART
9g54xg97n5m	19	6	use	use	VERB
9g54xg97n5m	19	7	graphlet	graphlet	NOUN
9g54xg97n5m	19	8	-	-	PUNCT
9g54xg97n5m	19	9	based	base	VERB
9g54xg97n5m	19	10	measures	measure	NOUN
9g54xg97n5m	19	11	for	for	ADP
9g54xg97n5m	19	12	classification	classification	NOUN
9g54xg97n5m	19	13	as	as	ADP
9g54xg97n5m	19	14	normal	normal	ADJ
9g54xg97n5m	19	15	classification	classification	NOUN
9g54xg97n5m	19	16	methods	method	NOUN
9g54xg97n5m	19	17	can	can	AUX
9g54xg97n5m	19	18	not	not	PART
9g54xg97n5m	19	19	directly	directly	ADV
9g54xg97n5m	19	20	accept	accept	VERB
9g54xg97n5m	19	21	such	such	ADJ
9g54xg97n5m	19	22	variable	variable	ADJ
9g54xg97n5m	19	23	-	-	PUNCT
9g54xg97n5m	19	24	size	size	NOUN
9g54xg97n5m	19	25	matrices	matrix	NOUN
9g54xg97n5m	19	26	as	as	ADP
9g54xg97n5m	19	27	input	input	NOUN
9g54xg97n5m	19	28	.	.	PUNCT
9g54xg97n5m	20	1	in	in	ADP
9g54xg97n5m	20	2	this	this	DET
9g54xg97n5m	20	3	thesis	thesis	NOUN
9g54xg97n5m	20	4	,	,	PUNCT
9g54xg97n5m	20	5	a	a	DET
9g54xg97n5m	20	6	deep	deep	ADJ
9g54xg97n5m	20	7	neural	neural	ADJ
9g54xg97n5m	20	8	network	network	NOUN
9g54xg97n5m	20	9	-	-	PUNCT
9g54xg97n5m	20	10	based	base	VERB
9g54xg97n5m	20	11	classifier	classifier	PROPN
9g54xg97n5m	20	12	composed	compose	VERB
9g54xg97n5m	20	13	of	of	ADP
9g54xg97n5m	20	14	both	both	DET
9g54xg97n5m	20	15	convolutional	convolutional	ADJ
9g54xg97n5m	20	16	and	and	CCONJ
9g54xg97n5m	20	17	recurrent	recurrent	ADJ
9g54xg97n5m	20	18	layers	layer	NOUN
9g54xg97n5m	20	19	is	be	AUX
9g54xg97n5m	20	20	developed	develop	VERB
9g54xg97n5m	20	21	to	to	PART
9g54xg97n5m	20	22	tackle	tackle	VERB
9g54xg97n5m	20	23	this	this	DET
9g54xg97n5m	20	24	challenge	challenge	NOUN
9g54xg97n5m	20	25	.	.	PUNCT
9g54xg97n5m	21	1	the	the	DET
9g54xg97n5m	21	2	graphlet	graphlet	PROPN
9g54xg97n5m	21	3	-	-	PUNCT
9g54xg97n5m	21	4	based	base	VERB
9g54xg97n5m	21	5	measure	measure	NOUN
9g54xg97n5m	21	6	is	be	AUX
9g54xg97n5m	21	7	also	also	ADV
9g54xg97n5m	21	8	enhanced	enhance	VERB
9g54xg97n5m	21	9	by	by	ADP
9g54xg97n5m	21	10	a	a	DET
9g54xg97n5m	21	11	new	new	ADJ
9g54xg97n5m	21	12	way	way	NOUN
9g54xg97n5m	21	13	to	to	PART
9g54xg97n5m	21	14	apply	apply	VERB
9g54xg97n5m	21	15	graphlets	graphlet	NOUN
9g54xg97n5m	21	16	on	on	ADP
9g54xg97n5m	21	17	weighted	weighted	ADJ
9g54xg97n5m	21	18	protein	protein	NOUN
9g54xg97n5m	21	19	structure	structure	NOUN
9g54xg97n5m	21	20	network	network	NOUN
9g54xg97n5m	21	21	with	with	ADP
9g54xg97n5m	21	22	a	a	DET
9g54xg97n5m	21	23	new	new	ADJ
9g54xg97n5m	21	24	weight	weight	NOUN
9g54xg97n5m	21	25	definition	definition	NOUN
9g54xg97n5m	21	26	also	also	ADV
9g54xg97n5m	21	27	proposed	propose	VERB
9g54xg97n5m	21	28	in	in	ADP
9g54xg97n5m	21	29	this	this	DET
9g54xg97n5m	21	30	study	study	NOUN
9g54xg97n5m	21	31	.	.	PUNCT
9g54xg97n5m	22	1	put	put	VERB
9g54xg97n5m	22	2	together	together	ADV
9g54xg97n5m	22	3	,	,	PUNCT
9g54xg97n5m	22	4	this	this	DET
9g54xg97n5m	22	5	approach	approach	NOUN
9g54xg97n5m	22	6	shows	show	VERB
9g54xg97n5m	22	7	dramatic	dramatic	ADJ
9g54xg97n5m	22	8	improvements	improvement	NOUN
9g54xg97n5m	22	9	in	in	ADP
9g54xg97n5m	22	10	performance	performance	NOUN
9g54xg97n5m	22	11	over	over	ADP
9g54xg97n5m	22	12	existing	exist	VERB
9g54xg97n5m	22	13	graphlet	graphlet	NOUN
9g54xg97n5m	22	14	-	-	PUNCT
9g54xg97n5m	22	15	based	base	VERB
9g54xg97n5m	22	16	approaches	approach	NOUN
9g54xg97n5m	22	17	on	on	ADP
9g54xg97n5m	22	18	36	36	NUM
9g54xg97n5m	22	19	real	real	ADJ
9g54xg97n5m	22	20	datasets	dataset	NOUN
9g54xg97n5m	22	21	.	.	PUNCT
9g54xg97n5m	23	1	even	even	ADV
9g54xg97n5m	23	2	comparing	compare	VERB
9g54xg97n5m	23	3	with	with	ADP
9g54xg97n5m	23	4	the	the	DET
9g54xg97n5m	23	5	state	state	NOUN
9g54xg97n5m	23	6	-	-	PUNCT
9g54xg97n5m	23	7	of	of	ADP
9g54xg97n5m	23	8	-	-	PUNCT
9g54xg97n5m	23	9	the	the	DET
9g54xg97n5m	23	10	-	-	PUNCT
9g54xg97n5m	23	11	art	art	NOUN
9g54xg97n5m	23	12	approach	approach	NOUN
9g54xg97n5m	23	13	,	,	PUNCT
9g54xg97n5m	23	14	it	it	PRON
9g54xg97n5m	23	15	almost	almost	ADV
9g54xg97n5m	23	16	halves	halve	VERB
9g54xg97n5m	23	17	the	the	DET
9g54xg97n5m	23	18	classification	classification	NOUN
9g54xg97n5m	23	19	error	error	NOUN
9g54xg97n5m	23	20	.	.	PUNCT
9g54xg97n5m	24	1	in	in	ADP
9g54xg97n5m	24	2	addition	addition	NOUN
9g54xg97n5m	24	3	to	to	ADP
9g54xg97n5m	24	4	protein	protein	NOUN
9g54xg97n5m	24	5	structure	structure	NOUN
9g54xg97n5m	24	6	networks	network	NOUN
9g54xg97n5m	24	7	,	,	PUNCT
9g54xg97n5m	24	8	this	this	DET
9g54xg97n5m	24	9	weighted	weighted	ADJ
9g54xg97n5m	24	10	-	-	PUNCT
9g54xg97n5m	24	11	graphlet	graphlet	ADJ
9g54xg97n5m	24	12	measure	measure	NOUN
9g54xg97n5m	24	13	and	and	CCONJ
9g54xg97n5m	24	14	dnn	dnn	PROPN
9g54xg97n5m	24	15	classifier	classifier	PROPN
9g54xg97n5m	24	16	can	can	AUX
9g54xg97n5m	24	17	potentially	potentially	ADV
9g54xg97n5m	24	18	be	be	AUX
9g54xg97n5m	24	19	applied	apply	VERB
9g54xg97n5m	24	20	to	to	ADP
9g54xg97n5m	24	21	classification	classification	NOUN
9g54xg97n5m	24	22	of	of	ADP
9g54xg97n5m	24	23	other	other	ADJ
9g54xg97n5m	24	24	weighted	weight	VERB
9g54xg97n5m	24	25	networks	network	NOUN
9g54xg97n5m	24	26	in	in	ADP
9g54xg97n5m	24	27	computational	computational	ADJ
9g54xg97n5m	24	28	biology	biology	NOUN
9g54xg97n5m	24	29	as	as	ADV
9g54xg97n5m	24	30	well	well	ADV
9g54xg97n5m	24	31	as	as	ADP
9g54xg97n5m	24	32	in	in	ADP
9g54xg97n5m	24	33	other	other	ADJ
9g54xg97n5m	24	34	fields	field	NOUN
9g54xg97n5m	24	35	.	.	PUNCT