Cargando…
Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection
It becomes increasingly important in using genome-wide association studies (GWAS) to select important genetic information associated with qualitative or quantitative traits. Currently, the discovery of biological association among SNPs motivates various strategies to construct SNP-sets along the gen...
Autores principales: | Zhao, Yize, Zhu, Hongtu, Lu, Zhaohua, Knickmeyer, Rebecca C., Zou, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553832/ https://www.ncbi.nlm.nih.gov/pubmed/31010934 http://dx.doi.org/10.1534/genetics.119.301906 |
Ejemplares similares
-
Bayesian bi-level variable selection for genome-wide survival study
por: Lee, Eunjee, et al.
Publicado: (2023) -
Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package
por: Pérez-Rodríguez, Paulino, et al.
Publicado: (2022) -
Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes
por: Yu, Haipeng, et al.
Publicado: (2019) -
Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies
por: Zhao, Tianjing, et al.
Publicado: (2021) -
Application of multi-trait Bayesian decision theory for parental genomic selection
por: Villar-Hernández, Bartolo de Jesús, et al.
Publicado: (2021)