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Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix
Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate independent ‘super traits' from the original multivariate phenotypic traits for the univariate analy...
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| 出版年: | Heredity (Edinb) |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4274615/ https://ncbi.nlm.nih.gov/pubmed/24984606 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/hdy.2014.57 |
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