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

Internet

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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