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Genomic Prediction Using Bayesian Regression Models With Global–Local Prior
Bayesian regression models are widely used in genomic prediction for various species. By introducing the global parameter τ, which can shrink marker effects to zero, and the local parameter λ(k), which can allow markers with large effects to escape from the shrinkage, we developed two novel Bayesian...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083873/ https://www.ncbi.nlm.nih.gov/pubmed/33936162 http://dx.doi.org/10.3389/fgene.2021.628205 |