A Curated Collection of 10 Multi-omics Datasets on Prostate Cancer

Key Highlights
  • Must-have collection of datasets that capture the comprehensive molecular landscape of Prostate cancer.
  • The datatypes covered are copy number variations, mutational analyses, transcriptomics, methylation, etc.
  • These datasets cover transcriptional expression data from cultured human cells treated with small-molecule, genetic loss/gain of function perturbagens, dose-response (AUC, IC50) data measured for more than 500 drugs across 6 major prostate cancer cell lines, and many more.
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