Article

Machine Learning-Based Identification of Co-expressed Genes in Prostate Cancer and CRPC and Construction of Prognostic Models

2024-04-17

Abstract excerpt

<title>Abstract</title> <p>Objective 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. Methods mRNA transcriptome data associated with Castration-Resista...

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Literature Corpus work: eb15cb55-0256-5482-856c-8ecc578d9564
DOI: 10.21203/rs.3.rs-4203768/v1

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