Ensemble learning for integrative prediction of genetic values with genomic variants
Abstract Background Whole genome variants offer sufficient information for genetic prediction of human disease risk, and prediction of animal and plant breeding values. Many sophisticated statistical methods have been developed for enhancing the predictive ability. However, each method has its own a...
Tallennettuna:
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BMC
2024-03-01
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| Sarja: | BMC Bioinformatics |
| Aiheet: | |
| Linkit: | https://doi.org/10.1186/s12859-024-05720-x |
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