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

• Main Authors: Farzaneh Hamidi (Author), Neda Gilani (Author), Reza Arabi Belaghi (Author), Hanif Yaghoobi (Author), Esmaeil Babaei (Author), Parvin Sarbakhsh (Author), Jamileh Malakouti (Author)
• Format: Book
• Published: Frontiers Media S.A., 2023-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...