A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes

Table 5 FmirDIP results

α	β	$N (% / %)$	level 1				max level					best level					time (s)
			#cc	p _MF	p _BP	µ _q	lev	#cc	p _MF	p _BP	µ _q	lev	#cc	p _MF	p _BP	µ _q
HOCCLUS2
0.1	0.3	45/88	758	1.000	1.000	0.50	9	57	0.023	0.005	0.11	2	379	0.000	0.000	0.41	7319
0.2							7	194	0.016	0.004	0.25	3	221	0.001	0.000	0.31	9022
0.3							6	374	1.000	1.000	0.36	1	758	1.000	1.000	0.50	9940
0.1	0.4	37/85	667	1.000	1.000	0.54	7	42	0.434	0.206	0.11	4	58	0.094	0.016	0.21	4760
0.2							6	145	0.096	0.004	0.24	5	148	0.053	0.004	0.25	5415
0.3							5	273	1.000	1.000	0.34	1	667	1.000	1.000	0.54	6567
0.1	0.5	27/81	622	1.000	1.000	0.60	8	35	0.311	0.346	0.12	3	156	0.151	0.263	0.37	3792
0.2							7	105	0.221	1.000	0.24	3	168	0.123	0.298	0.38	4121
0.3							6	205	0.374	1.000	0.36	2	314	0.256	1.000	0.50	4685
METIS
-	-	100/100	758	1.000	1.000	0.29	-	-	-	-	-	-	-	-	-	-	50
-	-		667	1.000	1.000	0.39	-	-	-	-	-	-	-	-	-	-	51
-	-		622	1.000	1.000	0.35	-	-	-	-	-	-	-	-	-	-	50
ROCC
-	-	1/1	122	1.000	1.000	0.01	-	-	-	-	-	-	-	-	-	-	16764

FmirDIP results. $N (% / %)$ represents the percentage of biclustered mRNAs and miRNAs. #cc is the number of biclusters. Lev represents the level number.

ISSN: 1471-2105