A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism

BACKGROUND: Graphical models (e.g., Bayesian networks) have been used frequently to describe complex interaction patterns and dependent structures among genes and other phenotypes. Estimation of such networks has been a challenging problem when the genes considered greatly outnumber the samples, and...

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Detalles Bibliográficos
Autores principales: Chu, Jen-hwa, Weiss, Scott T, Carey, Vincent J, Raby, Benjamin A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694152/
https://www.ncbi.nlm.nih.gov/pubmed/19473523
http://dx.doi.org/10.1186/1752-0509-3-55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694152/
https://www.ncbi.nlm.nih.gov/pubmed/19473523
http://dx.doi.org/10.1186/1752-0509-3-55

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