Table 6 Real data results. MetaLasso achieved the AUC 0.62(0.02), and selected 3 genes as biomarkers
From: Network-based logistic regression integration method for biomarker identification
| Â | Data Merging | Our model | ||
|---|---|---|---|---|
Penalty | AUC | # Genes | AUC | # Genes |
LASSO | 0.67(0.01) | 59 | 0.70(0.03) | 122 |
Enet | 0.67(0.01) | 306 | 0.69(0.02) | 104 |
Network | 0.58(0.01) | 255 | 0.70(0.04) | 214 |
Abs-Network | 0.59(0.03) | 285 | 0.67(0.01) | 270 |