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Highlighting nonlinear patterns in population genetics datasets
Detecting structure in population genetics and case-control studies is important, as it exposes phenomena such as ecoclines, admixture and stratification. Principal Component Analysis (PCA) is a linear dimension-reduction technique commonly used for this purpose, but it struggles to reveal complex,...
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| Gepubliceerd in: | Sci Rep |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Nature Publishing Group
2015
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4311249/ https://ncbi.nlm.nih.gov/pubmed/25633916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep08140 |
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