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A geometric relationship of F(2), F(3) and F(4)-statistics with principal component analysis
Principal component analysis (PCA) and F-statistics sensu Patterson are two of the most widely used population genetic tools to study human genetic variation. Here, I derive explicit connections between the two approaches and show that these two methods are closely related. F-statistics have a simpl...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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The Royal Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014194/ https://www.ncbi.nlm.nih.gov/pubmed/35430884 http://dx.doi.org/10.1098/rstb.2020.0413 |