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

Internet

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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