Cancer pharmacogenomics validation for COAC-predicted gene subnetworks.

(A to F) The receiver operating characteristic (ROC) curves for six selected drugs: SNX-2112 (a selective Hsp90 inhibitor), BX-912 (a PDK1 inhibitor), Bleomycin (induction of DNA strand breaks), PHA-793887 (a pan-CDK inhibitor), PI-103 (a PI3K and mTOR inhibitor), and WZ3105 (also named GSK-2126458 or Omipalisib, a PI3K inhibitor). Drug IC50 values were predicted based on SVM regression models built by utilizing the COAC-inferred gene subnetworks as feature vectors (see Methods). The area under ROC curves (AUC) during 10-fold cross-validations were shown. In each ROC plot, the cutoff values at the corresponding curve positions are represented by the color keys. (G and H) Two COAC-inferred gene co-expression subnetworks for two selected drug targets on SNX-2112 (G) and BX-912 (H). The color key of each node indicates the weight of the genes in each subnetwork.