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Article

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

BMC genomics - 1 Jan 2011

Han Bing, Chen Xue-wen

Abstract excerpt

BACKGROUND: Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis and treatment of complex human diseases. A recent study in automatic detection of epistatic interactions shows that Markov Blanket-based methods are capable of finding genetic variants strongly associated with common diseases and reducing false positives when the number of instances is large....

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PMID: 21989368
DOI: 10.1186/1471-2164-12-S2-S9
PMCID: PMC3194240

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