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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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3117367/ https://ncbi.nlm.nih.gov/pubmed/21685074 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr227 |
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