Optimizing genomic prediction with transfer learning under a ridge regression framework
Genomic selection (GS) is a predictive plant and animal methodology that allows the selection of plants and animals based on predictions without the need to measure the phenotype. However, its practical application requires challenging prediction accuracy due to the noise observations collected in e...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/176260 |
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