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Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
Widely used genomic prediction models may not properly account for heterogeneous (co)variance structure across the genome. Models such as BayesA and BayesB assume locus-specific variance, which are highly influenced by the prior for (co)variance of single nucleotide polymorphism (SNP) effect, regard...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972913/ https://www.ncbi.nlm.nih.gov/pubmed/31641237 http://dx.doi.org/10.1038/s41437-019-0273-4 |