Article
Bayesian variable selection for hierarchical gene-environment and gene-gene interactions.
Human genetics - 1 Jan 2015
Liu Changlu, Ma Jianzhong, Amos Christopher I
Abstract excerpt
We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions and gene by environment interactions in the same model. Our approach incorporates the natural hierarchical structure between the main effects and interaction effects into a mixture model, such that our methods tend to remove the irrelevant interaction effects...
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