A comparison of random forests, boosting and support vector machines for genomic selection
Genomic selection (GS) involves estimating breeding values using molecular markers spanning the entire genome. Accurate prediction of genomic breeding values (GEBVs) presents a central challenge to contemporary plant and animal breeders. The existence of a wide array of marker-based approaches for p...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2011
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/3795 |
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