A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.
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| Title: | A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer. |
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| Authors: | Timirci Kahraman Ö; Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Türkiye., İnal Gültekin G; Department of Physiology, İstanbul Okan University Faculty of Medicine, İstanbul, Türkiye., Billur D; Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Türkiye.; Department of Molecular Medicine, Institute of Health Sciences, İstanbul University, İstanbul, Türkiye., Bayralı Ülker E; Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Türkiye.; Department of Molecular Medicine, Institute of Health Sciences, İstanbul University, İstanbul, Türkiye., İşbilen M; Department of Biostatistics and Bioinformatics, Acıbadem University Faculty of Medicine, İstanbul, Türkiye., Durmuş S; Department of Bioengineering, Gebze Technical University Faculty of Engineering, Kocaeli, Türkiye., Çakır T; Department of Bioengineering, Gebze Technical University Faculty of Engineering, Kocaeli, Türkiye., Yaylım İ; Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, İstanbul University, İstanbul, Türkiye., İsbir T; Department of Molecular Medicine, Yeditepe University Faculty of Medicine, İstanbul, Türkiye. |
| Source: | Journal of the Turkish German Gynecological Association [J Turk Ger Gynecol Assoc] 2026 Mar 03; Vol. 27 (1), pp. 19-28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Galenos Publishing House Country of Publication: Turkey NLM ID: 101272522 Publication Model: Print Cited Medium: Print ISSN: 1309-0399 (Print) Linking ISSN: 13090380 NLM ISO Abbreviation: J Turk Ger Gynecol Assoc Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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