A 19-Gene Signature of Serous Ovarian Cancer Identified by Machine Learning and Systems Biology: Prospects for Diagnostics and Personalized Medicine

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dc.contributor.authorKori, Medi
dc.contributor.authorDemirtas, Talip Yasir
dc.contributor.authorComertpay, Betul
dc.contributor.authorArga, Kazim Yalcin
dc.contributor.authorSinha, Raghu
dc.contributor.authorGov, Esra
dc.date.accessioned2025-10-16T15:13:48Z
dc.date.issued2024
dc.identifier.doi10.1089/omi.2023.0273
dc.identifier.otherWOS:001157008900001
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/5951
dc.publisherMARY ANN LIEBERT, INC
dc.sourceOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
dc.subjectserous ovarian cancer
dc.subjectpersonalized medicine
dc.subjectwomen's health
dc.subjectsystems biomarkers
dc.subjectdiagnostics
dc.subjectprognosis
dc.titleA 19-Gene Signature of Serous Ovarian Cancer Identified by Machine Learning and Systems Biology: Prospects for Diagnostics and Personalized Medicine
dc.typeArticle

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