Table 3 Classification results in terms of AUC obtained on the E-MTAB-1803, E-TABM-147 and GSE32894 datasets with Random Forest (RF) and Support Vector Machine (SVM) classifiers using input signals LATNET P, LATNET A and EXPRESSION
From: Latent network-based representations for large-scale gene expression data analysis
| Â | LatNet A | LatNet P | Expression | |||
|---|---|---|---|---|---|---|
| Â | RF | SVM | RF | SVM | RF | SVM |
E-MTAB-1803 | 0.93 | 0.91 | 0.94 | 0.85 | 0.94 | 0.93 |
E-TABM-147 | 0.88 | 0.87 | 0.91 | 0.91 | 0.90 | 0.83 |
GSE32894 | 0.83 | 0.82 | 0.83 | 0.83 | 0.84 | 0.90 |