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Interpreting principal component analyses of spatial population genetic variation
Nearly thirty years ago, Cavalli-Sforza et al pioneered the use of principal components analysis (PCA) to summarise data on variation in human gene frequencies across continental regions [1]. Cavalli-Sforza et al produced maps representing each Principal Component (PC), and found these maps exhibite...
में बचाया:
| मुख्य लेखकों: | , |
|---|---|
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2008
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3989108/ https://ncbi.nlm.nih.gov/pubmed/18425127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ng.139 |
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