Random forest-based modelling to detect biomarkers for prostate cancer progression

BACKGROUND: The clinical course of prostate cancer (PCa) is highly variable, demanding an individualized approach to therapy. Overtreatment of indolent PCa cases, which likely do not progress to aggressive stages, may be associated with severe side effects and considerable costs. These could be avoi...

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Detalles Bibliográficos
Autores principales: Toth, Reka, Schiffmann, Heiko, Hube-Magg, Claudia, Büscheck, Franziska, Höflmayer, Doris, Weidemann, Sören, Lebok, Patrick, Fraune, Christoph, Minner, Sarah, Schlomm, Thorsten, Sauter, Guido, Plass, Christoph, Assenov, Yassen, Simon, Ronald, Meiners, Jan, Gerhäuser, Clarissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805338/
https://www.ncbi.nlm.nih.gov/pubmed/31640781
http://dx.doi.org/10.1186/s13148-019-0736-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805338/
https://www.ncbi.nlm.nih.gov/pubmed/31640781
http://dx.doi.org/10.1186/s13148-019-0736-8

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