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首页> Journal of theoretical biology> Joint genome-wide prediction in several populations accounting for randomness of genotypes: A hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the complete family of models.

Joint genome-wide prediction in several populations accounting for randomness of genotypes: A hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the complete family of models.

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作者： Carlos Alberto,Martínez ^[1] ; Kshitij,Khare ^[2] ; Arunava,Banerjee ^[3] ; Mauricio A,Elzo ^[4]

作者单位： Department of Animal Sciences, University of Florida, Gainesville, FL, USA; Department of Statistics, University of Florida, Gainesville, FL, USA. Electronic address: carlosmn@ufl.edu. ^[1] Department of Statistics, University of Florida, Gainesville, FL, USA. ^[2] Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA. ^[3] Department of Animal Sciences, University of Florida, Gainesville, FL, USA. ^[4]

关键词 Bayesian whole-genome regressions Finite mixture priors Genetic heterogeneity Laplace approximation Multi-population genome-enabled prediction

主题词动物(Animals);贝叶斯定理(Bayes Theorem);计算机模拟(Computer Simulation);数据库, 遗传学(Databases, Genetic);遗传标记(Genetic Markers);基因型(Genotype);人类(Humans);模型, 遗传学(Models, Genetic);模型, 理论(Models, Theoretical);回归分析(Regression Analysis)

DOI 10.1016/j.jtbi.2016.12.022

PMID 28088357

发布时间 2018-11-01

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Journal of theoretical biology

131-141页

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