Fast parallelized sampling of Bayesian regression models for whole-genome prediction
Abstract Background Bayesian regression models are widely used in genomic prediction, where the effects of all markers are estimated simultaneously by combining the information from the phenotypic data with priors for the marker effects and other parameters such as variance components or membership...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
BMC
2020-03-01
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| Series: | Genetics Selection Evolution |
| Online Access: | http://link.springer.com/article/10.1186/s12711-020-00533-x |