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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

  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