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Genomic selection using principal component regression
Many statistical methods are available for genomic selection (GS) through which genetic values of quantitative traits are predicted for plants and animals using whole-genome SNP data. A large number of predictors with much fewer subjects become a major computational challenge in GS. Principal compon...
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| 出版年: | Heredity (Edinb) |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer International Publishing
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5997717/ https://ncbi.nlm.nih.gov/pubmed/29713089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41437-018-0078-x |
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