APA (7th ed.) Citation

S, K., MM, C., S, K., DSM, H., & NA, S. (2026). Bioinformatics and machine learning integration reveals a novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) biomarker model for prostate cancer. Discover oncology, 17(1), . https://doi.org/10.1007/s12672-025-04369-z

Chicago Style (17th ed.) Citation

S, Kilicarslan, Cicekliyurt MM, Kiliçarslan S, Hassan DSM, and Samee NA. "Bioinformatics and Machine Learning Integration Reveals a Novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) Biomarker Model for Prostate Cancer." Discover Oncology 17, no. 1 (2026). https://doi.org/10.1007/s12672-025-04369-z.

MLA (9th ed.) Citation

S, Kilicarslan, et al. "Bioinformatics and Machine Learning Integration Reveals a Novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) Biomarker Model for Prostate Cancer." Discover Oncology, vol. 17, no. 1, 2026, https://doi.org/10.1007/s12672-025-04369-z.