Cargando…
Analysis pipeline for the epistasis search – statistical versus biological filtering
Gene–gene interactions may contribute to the genetic variation underlying complex traits but have not always been taken fully into account. Statistical analyses that consider gene–gene interaction may increase the power of detecting associations, especially for low-marginal-effect markers, and may e...
Autores principales: | Sun, Xiangqing, Lu, Qing, Mukherjee, Shubhabrata, Crane, Paul K., Elston, Robert, Ritchie, Marylyn D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012196/ https://www.ncbi.nlm.nih.gov/pubmed/24817878 http://dx.doi.org/10.3389/fgene.2014.00106 |
Ejemplares similares
-
Corrigendum: Analysis pipeline for the epistasis search – statistical versus biological filtering
por: Mukherjee, Shubhabrata
Publicado: (2014) -
Six Degrees of Epistasis: Statistical Network Models for GWAS
por: McKinney, B. A., et al.
Publicado: (2012) -
Estimating directional epistasis
por: Le Rouzic, Arnaud
Publicado: (2014) -
eQTL Epistasis – Challenges and Computational Approaches
por: Huang, Yang, et al.
Publicado: (2013) -
Exploring epistasis in candidate genes for rheumatoid arthritis
por: Ritchie, Marylyn D, et al.
Publicado: (2007)