Fig. 2From: Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics dataa The distributions of AUC values of cross validation on 243 drugs in GDSC for Super.FELT, MOLIF, AE, ANNF, MOLI, AutoBorutaRF, SVM, Super.FELT E, and Super.FELT M&C. b The scatter plot of cross validation AUC values, where x- and y-axis represent AUCs of Super.FELT and other methods, respectivelyBack to article page