Fig. 1

Workflow of Super.FELT. a Reduction of the large dimension of omics data with feature selection using a variance threshold based on the elbow method. b Supervised encoder using triplet loss function (SET) encodes each reduced omics data independently. c After encoding, all encoded omics data are integrated as the input data of the classifier. d A neural network classifier, for which the loss function is binary cross entropy (BCE) function, is trained for predicting drug response