Table 8. Comparison results using all 11 datasets. Column AUC is Area Under the Curve. All the values are averaged over 100 MCVV for the level top 2 groups for maTE and miRcorrNet, while 8 and 125 genes for SVM-RFE and finally for SVM-RCE an average of 190.05 genes from cluster level 2. Standard deviation values is given for AUC.

Method	Number of genes	Accuracy	Sensitivity	Specificity	AUC	Standard deviation
miRcorrNet	141.1	0.96	0.94	0.97	0.98	0.05 ± 0.05
maTE	7.48	0.96	0.94	0.96	0.98	0.034 ± 0.026
SVM-RCE	190.05	0.96	0.94	0.97	0.99	0.06 ± 0.03
SVM-RFE	8	0.84	0.85	0.85	0.91	0.07 ± 0.04
SVM-RFE	125	0.96	0.97	0.95	0.98	0.05 ± 0.03