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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Clin Epigenetics
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6805338/
https://ncbi.nlm.nih.gov/pubmed/31640781
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13148-019-0736-8
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados