Researchers from Weill Cornell Medical College and elsewhere present findings from a prostate cancer analysis performed with a computational tool called RegNetDriver, designed to uncover cancer driver mutations based on integrated genomic and epigenomic data. For its proof-of-principle analyses, the team used RegNetDriver to analyze structural variant, transcription factor, variant, promoter, enhancer, and other data gleaned from 521 prostate cancer tumors.

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