TABLE 5.
Performance results of miRModuleNet over the top-ranked group.
Disease | #Genes | ACC | SEN | SPE | FM | AUC | Precision |
---|---|---|---|---|---|---|---|
BLCA | 79 | 0.89 | 0.82 | 0.92 | 0.85 | 0.95 | 0.88 |
BRCA | 22 | 0.95 | 0.92 | 0.97 | 0.92 | 0.98 | 0.94 |
KICH | 40 | 0.98 | 0.93 | 1.00 | 0.96 | 0.99 | 1.00 |
KIRC | 64 | 0.99 | 0.97 | 1.00 | 0.98 | 0.99 | 0.99 |
KIRP | 41 | 1.00 | 0.99 | 1.00 | 0.99 | 1.00 | 1.00 |
LUAD | 4 | 0.94 | 0.90 | 0.96 | 0.90 | 0.98 | 0.93 |
LUSC | 12 | 0.98 | 0.99 | 0.98 | 0.98 | 1.00 | 0.97 |
PRAD | 5 | 0.86 | 0.76 | 0.91 | 0.77 | 0.92 | 0.82 |
STAD | 115 | 0.90 | 0.81 | 0.95 | 0.85 | 0.97 | 0.92 |
THCA | 6 | 0.93 | 0.90 | 0.95 | 0.90 | 0.98 | 0.92 |
UCEC | 33 | 0.94 | 0.89 | 0.96 | 0.89 | 0.99 | 0.94 |
ACC stands for Accuracy, SEN stands for Sensitivity, SPE stands for Specificity, FM stands for F-Measure, AUC stands for Area Under the ROC curve.