Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples

Background and objectives: Breast cancer is the most common cancer in women, with one in eight women suffering from this disease in her lifetime. The implementation of centrally organized mammography screening for women between 50 and 69 years of age was a major step in the direction of early detect...

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Main Authors: Jochen Maurer, Matthias Rübner, Chao-Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, Tomas Kupec, Laila Najjari, Peter Fasching, Elmar Stickeler
Format: Article
Language:English
Published: SAGE Publishing 2024-12-01
Series:Therapeutic Advances in Medical Oncology
Online Access:https://doi.org/10.1177/17588359241299563
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