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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...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2011
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| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3103196/ https://ncbi.nlm.nih.gov/pubmed/21624167 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-5-S3-S11 |
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