Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis

BACKGROUND: Identifying high-order genetics associations with non-additive (i.e. epistatic) effects in population-based studies of common human diseases is a computational challenge. Multifactor dimensionality reduction (MDR) is a machine learning method that was designed specifically for this probl...

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Detalles Bibliográficos
Autores principales: Collins, Ryan L, Hu, Ting, Wejse, Christian, Sirugo, Giorgio, Williams, Scott M, Moore, Jason H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618340/
https://www.ncbi.nlm.nih.gov/pubmed/23418869
http://dx.doi.org/10.1186/1756-0381-6-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618340/
https://www.ncbi.nlm.nih.gov/pubmed/23418869
http://dx.doi.org/10.1186/1756-0381-6-4

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