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Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated
Principal Component Analysis (PCA) is a multivariate analysis that reduces the complexity of datasets while preserving data covariance. The outcome can be visualized on colorful scatterplots, ideally with only a minimal loss of information. PCA applications, implemented in well-cited packages like E...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424212/ https://www.ncbi.nlm.nih.gov/pubmed/36038559 http://dx.doi.org/10.1038/s41598-022-14395-4 |