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Machine learning-based identification of co-expressed genes in prostate cancer and CRPC and construction of prognostic models

16 Feb 2025

Abstract excerpt

The objective of this study was to employ machine learning to identify shared differentially expressed genes (DEGs) in prostate cancer (PCa) initiation and castration resistance, aiming to establish a robust prognostic model and enhance understanding of patient prognosis for personalized treatment strategies. mRNA transcriptome data associated with Castration-Resistant Prostate Cancer (CRPC) were obtained from...

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PMID: 39956870
DOI: 10.1038/s41598-025-90444-y

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