Cargando…
Large-scale risk prediction applied to Genetic Analysis Workshop 17 mini-exome sequence data
We consider the application of Efron’s empirical Bayes classification method to risk prediction in a genome-wide association study using the Genetic Analysis Workshop 17 (GAW17) data. A major advantage of using this method is that the effect size distribution for the set of possible features is empi...
Autores principales: | Li, Gengxin, Ferguson, John, Zheng, Wei, Lee, Joon Sang, Zhang, Xianghua, Li, Lun, Kang, Jia, 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/PMC3287883/ https://www.ncbi.nlm.nih.gov/pubmed/22373389 http://dx.doi.org/10.1186/1753-6561-5-S9-S46 |
Ejemplares similares
-
Collapsing-based and kernel-based single-gene analyses applied to Genetic Analysis Workshop 17 mini-exome data
por: Li, Lun, 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) -
Genetic Analysis Workshop 17 mini-exome simulation
por: Almasy, Laura, et al.
Publicado: (2011) -
Use of Bayesian networks to dissect the complexity of genetic disease: application to the Genetic Analysis Workshop 17 simulated data
por: Kang, Jia, et al.
Publicado: (2011) -
Case-control association testing by graphical modeling for the Genetic Analysis Workshop 17 mini-exome sequence data
por: Abel, Haley J, et al.
Publicado: (2011)