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Incorporating Prior Knowledge of Principal Components in Genomic Prediction
Genomic prediction using a large number of markers is challenging, due to the curse of dimensionality as well as multicollinearity arising from linkage disequilibrium between markers. Several methods have been proposed to solve these problems such as Principal Component Analysis (PCA) that is common...
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| Publié dans: | Front Genet |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6082966/ https://ncbi.nlm.nih.gov/pubmed/30116258 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2018.00289 |
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