Cargando…
Network Graph Analysis of Gene-Gene Interactions in Genome-Wide Association Study Data
Most common complex traits, such as obesity, hypertension, diabetes, and cancers, are known to be associated with multiple genes, environmental factors, and their epistasis. Recently, the development of advanced genotyping technologies has allowed us to perform genome-wide association studies (GWASs...
Autores principales: | Lee, Sungyoung, Kwon, Min-Seok, Park, Taesung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543927/ https://www.ncbi.nlm.nih.gov/pubmed/23346039 http://dx.doi.org/10.5808/GI.2012.10.4.256 |
Ejemplares similares
-
CARAT-GxG: CUDA-Accelerated Regression Analysis Toolkit for Large-Scale Gene–Gene Interaction with GPU Computing System
por: Lee, Sungyoung, et al.
Publicado: (2014) -
IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis
por: Kwon, Min-Seok, et al.
Publicado: (2014) -
A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDR
por: Oh, Sohee, et al.
Publicado: (2012) -
Robust Gene-Gene Interaction Analysis in Genome Wide Association Studies
por: Kim, Yongkang, et al.
Publicado: (2015) -
HisCoM-GGI: Software for Hierarchical Structural Component Analysis of Gene-Gene Interactions
por: Choi, Sungkyoung, et al.
Publicado: (2018)