Article
A scalable, knowledge-based analysis framework for genetic association studies.
BMC bioinformatics - 23 Oct 2013
Baurley James W, Conti David V
Abstract excerpt
BACKGROUND: Testing for marginal associations between numerous genetic variants and disease may miss complex relationships among variables (e.g., gene-gene interactions). Bayesian approaches can model multiple variables together and offer advantages over conventional model building strategies, including using existing biological evidence as modeling priors and acknowledging that many models may fit the data well....
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