TABLE 6.
Comparative evaluation of existing tools using 11 cancer datasets.
| Method | #Genes | Accuracy | Sensitivity | Specificity | AUC | SD |
|---|---|---|---|---|---|---|
| miRModuleNet | 78.31 | 0.96 | 0.91 | 0.98 | 0.99 | 0.04 ± 0.02 |
| miRcorrNet | 141.26 | 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 ± 0.02 |
| 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 |
AUC column refers to the area under the curve values. All the presented values are average values over 100 MCCV for the level of top 2 groups for miRModuleNet, maTE and miRcorrNet; 8 and 125 genes for SVM-RFE. Standard Deviation (SD) values are given for AUC.