Unsupervised digital twin phenotyping of prostate cancer using transcriptomic and mutation data

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Authors: Radosław Dzik
Cited by: 0

Abstract

Python code, data processed, results, tables, plots.

Fields of Study & Subjects

Cancer Genomics and Diagnostics Prostate Cancer Treatment and Research Gene expression and cancer classification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026