A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types

Cancer research continues to highlight the extensive genetic diversity that exists both between and within tumors. This intrinsic heterogeneity poses one of the central challenges to predicting patient clinical outcome and the personalization of treatments. Despite progress in some individual tumor...

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Detalles Bibliográficos
Autores principales: Patrick, Ellis, Schramm, Sarah-Jane, Ormerod, John T, Scolyer, Richard A, Mann, Graham J, Mueller, Samuel, Yang, Jean Y.H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356843/
https://www.ncbi.nlm.nih.gov/pubmed/27833072
http://dx.doi.org/10.18632/oncotarget.13203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356843/
https://www.ncbi.nlm.nih.gov/pubmed/27833072
http://dx.doi.org/10.18632/oncotarget.13203

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