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Detecting epistatic effects in association studies at a genomic level based on an ensemble approach
Motivation: Most complex diseases involve multiple genes and their interactions. Although genome-wide association studies (GWAS) have shown some success for identifying genetic variants underlying complex diseases, most existing studies are based on limited single-locus approaches, which detect sing...
Autores principales: | Li, Jing, Horstman, Benjamin, Chen, Yixuan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117367/ https://www.ncbi.nlm.nih.gov/pubmed/21685074 http://dx.doi.org/10.1093/bioinformatics/btr227 |
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