Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer"

This repository contains preprocessed data files and trained model files associated with the manuscript "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer". The preprocessed data files include the preprocessed drug response dataset, filtered gene expression, mutation and CNV files (before merging with the response dataset), and the fully preprocessed drug and gene expression data required for the exprDGI + drugsECFP4 model described in the study.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UIDB/04469/2020 unit and through a PhD scholarship (SFRH/BD/130913/2017) awarded to Delora Baptista