Fig. 1

Computational framework. In the left panel, cell lines in CCLE were first divided into three groups according to their normalized drug response values. Then gene expression features were selected by SVM-RFE for building an SVM model, where the optimal feature number and parameters were obtained by a 10-fold cross validation. To test the generalization ability of the model, in the right panel, gene expression profile of CGP data set was fed to the model to get the attribute (sensitive or resistant) of each cell line. Then CGP performance was measured by comparing the model prediction with the sample classification based on the normalized IC₅₀