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Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics
<p>Abstract</p> <p>Background</p> <p>Most Bayesian models for the analysis of complex traits are not analytically tractable and inferences are based on computationally intensive techniques. This is true of Bayesian models for genome-enabled selection, which uses whole-g...
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| Publicado no: | Genetics Selection Evolution |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Publicado em: |
BMC
2012-09-01
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| Acesso em linha: | http://www.gsejournal.org/content/44/1/29 |
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