Published May 11, 2022
| Version 1
Dataset
Open
Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer"
- 1. Centre of Biological Engineering, University of Minho; LABBELS – Associate Laboratory, Portugal
- 2. Department of Computer Science, Faculty of Sciences, University of Porto; INESC TEC; Ipatimup - Institute of Molecular Pathology and Immunology of the University of Porto; i3s - Instituto de Investigação e Inovação em Saúde da Universidade do Porto
Description
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.
Notes
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.