Identification of Key Candidate Genes in Prostate Adenocarcinoma Using Bioinformatics and Machine Learning Approaches
Year: 2025
Type: article
Abstract: This study integrates clinical and genomic data using machine learning to predict overall survival and identify key prognostic genes in prostate adenocarcinoma.
Institution: Çanakkale Onsekiz Mart Üniversitesi
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7089417962
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