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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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| Publié dans: | BMC Genomics |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5031345/ https://ncbi.nlm.nih.gov/pubmed/27654580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-016-3082-7 |
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