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A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies
Joint analysis of multiple phenotypes can increase statistical power in genetic association studies. Principal component analysis, as a popular dimension reduction method, especially when the number of phenotypes is high-dimensional, has been proposed to analyze multiple correlated phenotypes. It ha...
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| Опубликовано в: : | J Am Stat Assoc |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6764517/ https://ncbi.nlm.nih.gov/pubmed/31564761 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2018.1513363 |
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