Article
Informative Bayesian Model Selection: a method for identifying interactions in genome-wide data.
Molecular bioSystems - 1 Oct 2014
Aflakparast Mehran, Masoudi-Nejad Ali, Bozorgmehr Joseph H, Visweswaran Shyam
Abstract excerpt
In high-dimensional genome-wide (GWA) data, a key challenge is to detect genomic variants that interact in a nonlinear fashion in their association with disease. Identifying such genomic interactions is important for elucidating the inheritance of complex phenotypes and diseases. In this paper, we introduce a new computational method called Informative Bayesian Model Selection (IBMS) that leverages correlation...
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