TABLE 4.

An example performance table of miRModuleNet for top ranked 10 modules for BLCA dataset.

#Groups	#Genes	Accuracy	Sensitivity	Specificity	AUC
10	1422.96	0.92	0.89	0.94	0.98
9	1254.76	0.92	0.88	0.93	0.98
8	1110.82	0.91	0.87	0.93	0.97
7	962.83	0.91	0.88	0.93	0.97
6	799.7	0.92	0.88	0.94	0.97
5	628.14	0.92	0.87	0.94	0.97
4	489.59	0.91	0.87	0.93	0.98
3	331.02	0.90	0.85	0.93	0.97
2	205.08	0.90	0.84	0.93	0.97
1	79.25	0.89	0.82	0.92	0.95