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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jing, Horstman, Benjamin, Chen, Yixuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria
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

Internet

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

Ejemplares similares