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Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics
BACKGROUND: Principal component analysis (PCA) is a standard method to correct for population stratification in ancestry-specific genome-wide association studies (GWASs) and is used to cluster individuals by ancestry. Using the 1000 genomes project data, we examine how non-linear dimensionality redu...
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| Vydáno v: | BMC Bioinformatics |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6407257/ https://ncbi.nlm.nih.gov/pubmed/30845922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2680-1 |
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