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

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NIAID Data Ecosystem2026-03-12 收录
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https://zenodo.org/record/3464487
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资源简介:
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.
创建时间:
2020-09-19
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