Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes

BACKGROUND: Complex diseases are often difficult to diagnose, treat and study due to the multi-factorial nature of the underlying etiology. Large data sets are now widely available that can be used to define novel, mechanistically distinct disease subtypes (endotypes) in a completely data-driven man...

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Detalles Bibliográficos
Autores principales: Williams-DeVane, ClarLynda R, Reif, David M, Cohen Hubal, Elaine, Bushel, Pierre R, Hudgens, Edward E, Gallagher, Jane E, Edwards, Stephen W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228284/
https://www.ncbi.nlm.nih.gov/pubmed/24188919
http://dx.doi.org/10.1186/1752-0509-7-119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228284/
https://www.ncbi.nlm.nih.gov/pubmed/24188919
http://dx.doi.org/10.1186/1752-0509-7-119

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