Data used in "Biologically informed deep neural network for prostate cancer discovery" publication

Data used in the publication titled "Biologically informed deep neural network for prostate cancer discovery " 

Elmarakeby, Haitham A., et al. "Biologically informed deep neural network for prostate cancer discovery." Nature 598.7880 (2021): 348-352.

These datasets were derived from the following public domain resources:

Armenia J, Wankowicz SAM, Liu D, Gao J, Kundra R, Reznik E, et al. The long tail of oncogenic drivers in prostate cancer. Nat Genet. 2018;50: 645–651. DOI: 10.1038/s41588-018-0078-z

Fraser M, Sabelnykova VY, Yamaguchi TN, Heisler LE, Livingstone J, Huang V, et al. Genomic hallmarks of localized, non-indolent prostate cancer. Nature. 2017;541: 359–364. https://doi.org/10.1038/nature20788

Robinson DR, Wu Y-M, Lonigro RJ, Vats P, Cobain E, Everett J, et al. Integrative clinical genomics of metastatic cancer. Nature. 2017;548: 297–303. https://doi.org/10.1038/nature23306

Fabregat A, Jupe S, Matthews L, Sidiropoulos K, Gillespie M, Garapati P, et al. The Reactome Pathway Knowledgebase. Nucleic Acids Res. 2018;46: D649–D655. DOI: 10.1093/nar/gkv1351