Bioinformatics and machine learning integration reveals a novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) biomarker model for prostate cancer.

Saved in:
Bibliographic Details
Title: Bioinformatics and machine learning integration reveals a novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) biomarker model for prostate cancer.
Authors: Kilicarslan S; Graduate School of Sciences, Department of Medical System Biology, Çanakkale Onsekiz Mart University, Çanakkale, Turkey., Cicekliyurt MM; Faculty of Medicine, Department of Medical Biology, Çanakkale Onsekiz Mart University, Çanakkale, Turkey., Kiliçarslan S; Faculty of Engineering, Department of Software Engineering, Bandirma Onyedi Eylül University, Balıkesir, Turkey. skilicarslan@bandirma.edu.tr., Hassan DSM; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia., Samee NA; Graduate School of Sciences, Department of Medical System Biology, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Source: Discover oncology [Discov Oncol] 2026 Feb 21; Vol. 17 (1). Date of Electronic Publication: 2026 Feb 21.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101775142 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-6011 (Electronic) Linking ISSN: 27306011 NLM ISO Abbreviation: Discov Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2730-6011
DOI:10.1007/s12672-025-04369-z