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

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 varia...

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Detalles Bibliográficos
Autores principales:	Han, Bing, Chen, Xue-wen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194240/ https://www.ncbi.nlm.nih.gov/pubmed/21989368 http://dx.doi.org/10.1186/1471-2164-12-S2-S9

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