A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

BACKGROUND: Bayesian mixture models in which the effects of SNP are assumed to come from normal distributions with different variances are attractive for simultaneous genomic prediction and QTL mapping. These models are usually implemented with Monte Carlo Markov Chain (MCMC) sampling, which require...

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Detalles Bibliográficos
Autores principales: Wang, Tingting, Chen, Yi-Ping Phoebe, Bowman, Phil J., Goddard, Michael E., Hayes, Ben J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031345/
https://www.ncbi.nlm.nih.gov/pubmed/27654580
http://dx.doi.org/10.1186/s12864-016-3082-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031345/
https://www.ncbi.nlm.nih.gov/pubmed/27654580
http://dx.doi.org/10.1186/s12864-016-3082-7

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