Learning genetic epistasis using Bayesian network scoring criteria

BACKGROUND: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have been developed for learning epistatic relationships from data. A well-known combinatorial method that has been successfully...

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Detalles Bibliográficos
Autores principales: Jiang, Xia, Neapolitan, Richard E, Barmada, M Michael, Visweswaran, Shyam
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080825/
https://www.ncbi.nlm.nih.gov/pubmed/21453508
http://dx.doi.org/10.1186/1471-2105-12-89

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080825/
https://www.ncbi.nlm.nih.gov/pubmed/21453508
http://dx.doi.org/10.1186/1471-2105-12-89

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