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Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
The analysis of large genomic data is hampered by issues such as a small number of observations and a large number of predictive variables (commonly known as “large P small N”), high dimensionality or highly correlated data structures. Machine learning methods are renowned for dealing with these pro...
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| Publicado no: | Front Genet |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6039760/ https://ncbi.nlm.nih.gov/pubmed/30023001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2018.00237 |
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