A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism |
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| Authors: | Jen-hwa Chu Scott T Weiss Vincent J Carey Benjamin A Raby |
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| Affiliation: | (1) Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA;(2) Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA;(3) Center for Genomic Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA |
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| Abstract: | 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 the situation is exacerbated when one wishes to consider the impact of polymorphisms (SNPs) in genes. |
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