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

Table 4 mirDIP 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	43/87	700	1.000	1.000	0.49	9	56	0.000	0.000	0.12	2	350	0.000	0.000	0.41	5797
0.2							7	183	0.000	0.000	0.24	3	210	0.000	0.000	0.31	6416
0.3							5	355	1.000	1.000	0.36	1	700	1.000	1.000	0.49	7783
0.1	0.4	36/86	619	1.000	1.000	0.52	8	41	0.411	0.331	0.11	3	155	0.004	0.009	0.32	4089
0.2							7	144	0.006	0.001	0.24	7	144	0.006	0.001	0.24	4816
0.3							6	274	1.000	1.000	0.35	1	619	1.000	1.000	0.52	6123
0.1	0.5	25/81	599	1.000	1.000	0.58	8	34	0.284	0.273	0.12	4	77	0.345	0.167	0.27	3439
0.2							7	101	0.315	0.146	0.23	5	108	0.257	0.112	0.26	3958
0.3							6	202	1.000	0.221	0.34	5	205	1.000	0.206	0.35	4361
METIS
-	-	100/100	700	1.000	1.000	0.36	-	-	-	-	-	-	-	-	-	-	50
-	-		619	1.000	1.000	0.40	-	-	-	-	-	-	-	-	-	-	51
-	-		599	1.000	1.000	0.35	-	-	-	-	-	-	-	-	-	-	52
ROCC
-	-	1/1	122	1.000	1.000	0.01	-	-	-	-	-	-	-	-	-	-	16531

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

ISSN: 1471-2105