Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis

BACKGROUND: Running multiple-chain Markov Chain Monte Carlo (MCMC) provides an efficient parallel computing method for complex Bayesian models, although the efficiency of the approach critically depends on the length of the non-parallelizable burn-in period, for which all simulated data are discarde...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Peng, Zhu, Bo, Niu, Hong, Wang, Zezhao, Liang, Yonghu, Chen, Yan, Zhang, Lupei, Ni, Hemin, Guo, Yong, Hay, El Hamidi A., Gao, Xue, Gao, Huijiang, Wu, Xiaolin, Xu, Lingyang, Li, Junya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751823/
https://www.ncbi.nlm.nih.gov/pubmed/29298666
http://dx.doi.org/10.1186/s12859-017-2003-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751823/
https://www.ncbi.nlm.nih.gov/pubmed/29298666
http://dx.doi.org/10.1186/s12859-017-2003-3

Ejemplares similares