Fig. 5

Using subgroupings improves concordance with clinically relevant phenotypes. We applied our trained classifiers to the CCLE cohort and computed the Spearman correlations between the scores returned by the classifiers and drug response for 265 compounds with AUC50s measured in at least 100 cell lines which also had expression calls available. For NFE2L2 in TCGA-LUSC and GATA3 in METABRIC(LumA) we compared these correlations for the gene-wide classifier and the classifier of the best found subgrouping. Points correspond to individual drugs, with the area of each point proportional to the number of cell lines for which AUC50s were available for the given drug. Correlations were multiplied by \(-1\), and thus higher correlations correspond to stronger association with increased sensitivity of the cell lines to the compound in question. Labels have been added for drugs with Spearman rank-order test p values of less than 0.001 for the subgrouping correlation but greater than 0.001 for the gene-wide correlation