Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer

Determining which treatment to provide to men with prostate cancer (PCa) is a major challenge for clinicians. Currently, the clinical risk-stratification for PCa is based on clinico-pathological variables such as Gleason grade, stage and prostate specific antigen (PSA) levels. But transcriptomic dat...

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Detalles Bibliográficos
Autores principales: Vittrant, Benjamin, Leclercq, Mickael, Martin-Magniette, Marie-Laure, Collins, Colin, Bergeron, Alain, Fradet, Yves, Droit, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723980/
https://www.ncbi.nlm.nih.gov/pubmed/33324443
http://dx.doi.org/10.3389/fgene.2020.550894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723980/
https://www.ncbi.nlm.nih.gov/pubmed/33324443
http://dx.doi.org/10.3389/fgene.2020.550894

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