Survival models with preclustered gene groups as covariates

BACKGROUND: An important application of high dimensional gene expression measurements is the risk prediction and the interpretation of the variables in the resulting survival models. A major problem in this context is the typically large number of genes compared to the number of observations (indivi...

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Detalles Bibliográficos
Autores principales: Kammers, Kai, Lang, Michel, Hengstler, Jan G, Schmidt, Marcus, Rahnenführer, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377939/
https://www.ncbi.nlm.nih.gov/pubmed/22177110
http://dx.doi.org/10.1186/1471-2105-12-478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377939/
https://www.ncbi.nlm.nih.gov/pubmed/22177110
http://dx.doi.org/10.1186/1471-2105-12-478

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