Ö, T. K., G, İ. G., D, B., E, B. Ü., M, İ., S, D., . . . T, İ. (2026). A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer. Journal of the Turkish German Gynecological Association, 27(1), 19. https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1
Chicago Style (17th ed.) CitationÖ, Timirci Kahraman, İnal Gültekin G, Billur D, Bayralı Ülker E, İşbilen M, Durmuş S, Çakır T, Yaylım İ, and İsbir T. "A Bioinformatics Approach to Identify Potential Biomarkers of High-grade Ovarian Cancer." Journal of the Turkish German Gynecological Association 27, no. 1 (2026): 19. https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1.
MLA (9th ed.) CitationÖ, Timirci Kahraman, et al. "A Bioinformatics Approach to Identify Potential Biomarkers of High-grade Ovarian Cancer." Journal of the Turkish German Gynecological Association, vol. 27, no. 1, 2026, p. 19, https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1.