Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV

BACKGROUND: Disease progression models are important for understanding the critical steps during the development of diseases. The models are imbedded in a statistical framework to deal with random variations due to biology and the sampling process when observing only a finite population. Conditional...

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Detalles Bibliográficos
Autores principales: Hainke, Katrin, Szugat, Sebastian, Fried, Roland, Rahnenführer, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539896/
https://www.ncbi.nlm.nih.gov/pubmed/28764644
http://dx.doi.org/10.1186/s12859-017-1762-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539896/
https://www.ncbi.nlm.nih.gov/pubmed/28764644
http://dx.doi.org/10.1186/s12859-017-1762-1

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