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bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies

✍ Scribed by Bing Han; Xue-wen Chen


Book ID
119894711
Publisher
BioMed Central
Year
2011
Tongue
English
Weight
344 KB
Volume
12
Category
Article
ISSN
1471-2164

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## Abstract Epistasis could be an important source of risk for disease. How interacting loci might be discovered is an open question for genome‐wide association studies (GWAS). Most researchers limit their statistical analyses to testing individual pairwise interactions (i.e., marginal tests for as