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Analysis of Population Structure: A Unifying Framework and Novel Methods Based on Sparse Factor Analysis
We consider the statistical analysis of population structure using genetic data. We show how the two most widely used approaches to modeling population structure, admixture-based models and principal components analysis (PCA), can be viewed within a single unifying framework of matrix factorization....
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940725/ https://www.ncbi.nlm.nih.gov/pubmed/20862358 http://dx.doi.org/10.1371/journal.pgen.1001117 |