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

INTRODUCTION: In 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 R...

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Detalles Bibliográficos
Autores principales:	Hamidi, Farzaneh, Gilani, Neda, Arabi Belaghi, Reza, Yaghoobi, Hanif, Babaei, Esmaeil, Sarbakhsh, Parvin, Malakouti, Jamileh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445490/ https://www.ncbi.nlm.nih.gov/pubmed/37621964 http://dx.doi.org/10.3389/fdgth.2023.1187578

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