Cargando…
Use of Bayesian networks to dissect the complexity of genetic disease: application to the Genetic Analysis Workshop 17 simulated data
Complex diseases are often the downstream event of a number of risk factors, including both environmental and genetic variables. To better understand the mechanism of disease onset, it is of great interest to systematically investigate the crosstalk among various risk factors. Bayesian networks prov...
Autores principales: | Kang, Jia, Zheng, Wei, Li, Lun, Lee, Joon Sang, Yan, Xiting, Zhao, Hongyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287873/ https://www.ncbi.nlm.nih.gov/pubmed/22373110 http://dx.doi.org/10.1186/1753-6561-5-S9-S37 |
Ejemplares similares
-
Large-scale risk prediction applied to Genetic Analysis Workshop 17 mini-exome sequence data
por: Li, Gengxin, et al.
Publicado: (2011) -
Detecting functional rare variants by collapsing and incorporating functional annotation in Genetic Analysis Workshop 17 mini-exome data
por: Yan, Xiting, et al.
Publicado: (2011) -
Collapsing-based and kernel-based single-gene analyses applied to Genetic Analysis Workshop 17 mini-exome data
por: Li, Lun, et al.
Publicado: (2011) -
Genetic Analysis Workshop 17 mini-exome simulation
por: Almasy, Laura, et al.
Publicado: (2011) -
Propensity score analysis in the Genetic Analysis Workshop 17 simulated data set on independent individuals
por: Lin, Chen Min, et al.
Publicado: (2011)