Article

Consequences of PCA graphs, SNP codings, and PCA variants for elucidating population structure

2018-08-16

Abstract excerpt

SNP datasets are high-dimensional, often with thousands to millions of SNPs and hundreds to thousands of samples or individuals. Accordingly, PCA graphs are frequently used to provide a low-dimensional visualization in order to display and discover patterns in SNP data from humans, animals, plants, and microbes—especially to elucidate population structure. Given the popularity of PCA, one might expect that PCA is...

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Literature Corpus work: fd052a47-795e-546e-b827-69266cab3293
DOI: 10.1101/393611

Open publication

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