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 fo...
Enlace original:
https://cgspace.cgiar.org/handle/10568/3795
Ogutu, Joseph O.
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Piepho, Hans-Peter
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Schulz-Streeck, T.
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[A comparison of random forests, boosting and support vector machines for genomic selection]
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A comparison of random forests, boosting and support vector machines for genomic selection
