Validation of miRNA signatures for ovarian cancer earlier detection in the pre-diagnosis setting using machine learning approaches

التفاصيل البيبلوغرافية
العنوان:	Validation of miRNA signatures for ovarian cancer earlier detection in the pre-diagnosis setting using machine learning approaches
المؤلفون:	Konrad Stawiski, Renée T. Fortner, Luca Pestarino, Sinan U. Umu, Rudolf Kaaks, Trine B. Rounge, Kevin M. Elias, Wojciech Fendler, Hilde Langseth
المصدر:	Frontiers in Oncology, Vol 14 (2024)
بيانات النشر:	Frontiers Media S.A., 2024.
سنة النشر:	2024
المجموعة:	LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية:	ovarian cancer, microRNAs, early detection, machine learning, sequencing, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف:	IntroductionEffective strategies for early detection of epithelial ovarian cancer are lacking. We evaluated whether a panel of 14 previously established circulating microRNAs could discriminate between cases diagnosed
نوع الوثيقة:	article
وصف الملف:	electronic resource
اللغة:	English
تدمد:	2234-943X
Relation:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1389066/full; https://doaj.org/toc/2234-943X
DOI:	10.3389/fonc.2024.1389066
URL الوصول:	https://doaj.org/article/d9b3233afbee4b85999e32db9b3a1d8c
رقم الأكسشن:	edsdoj.9b3233afbee4b85999e32db9b3a1d8c
قاعدة البيانات:	Directory of Open Access Journals

الوصف
تدمد:	2234943X
DOI:	10.3389/fonc.2024.1389066