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Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions
The rapid development of molecular markers and sequencing technologies has made it possible to use genomic prediction (GP) and selection (GS) in animal and plant breeding. However, when the number of observations (n) is large (thousands or millions), computational difficulties when handling these la...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594507/ https://www.ncbi.nlm.nih.gov/pubmed/33193659 http://dx.doi.org/10.3389/fgene.2020.567757 |