Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta

Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta

IntroductionIn gynecologic oncology, ovarian cancer is a great clinical challenge. Because of the lack of typical symptoms and effective biomarkers for noninvasive screening, most patients develop advanced-stage ovarian cancer by the time of diagnosis. MicroRNAs (miRNAs) are a type of non-coding RNA...

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Bibliographic Details
Main Authors: Farzaneh Hamidi, Neda Gilani, Reza Arabi Belaghi, Hanif Yaghoobi, Esmaeil Babaei, Parvin Sarbakhsh, Jamileh Malakouti
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Digital Health
Subjects:
artificial intelligence
Boruta
biomarker
feature selection
Gene Expression Omnibus
ovarian cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1187578/full

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https://www.frontiersin.org/articles/10.3389/fdgth.2023.1187578/full

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