MOLI: multi-omics late integration with deep neural networks for drug response prediction

Harmonized data used in "MOLI: multi-omics late integration with deep neural networks for drug response prediction", 2019, Bioinformatics https://academic.oup.com/bioinformatics/article/35/14/i501/5529255. CNA.tar.gz contains CNA profiles with non-integer estimates of copy number, e.g. log-ratios. Please use binarized CNA profiles (CNA_binary.tar.gz) to replicate the results described in the paper. All raw data were obtained from open sources: - https://www.cancerrxgene.org/ - ArrayExpress https://www.ebi.ac.uk/arrayexpress/ - Firehose Broad GDAC http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/ - Supplementary of Gao et al., 2015 https://www.nature.com/articles/nm.3954 Gene symbols were mapped to Entrez Gene IDs. Data preprocessing is described in detail in supplementary materials. The code is available at https://github.com/hosseinshn/MOLI/tree/master/preprocessing_scr.