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A comparison of random forests, boosting and support vector machines for genomic selection
BACKGROUND: 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 appr...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103196/ https://www.ncbi.nlm.nih.gov/pubmed/21624167 http://dx.doi.org/10.1186/1753-6561-5-S3-S11 |