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PCA-Correlated SNPs for Structure Identification in Worldwide Human Populations
Existing methods to ascertain small sets of markers for the identification of human population structure require prior knowledge of individual ancestry. Based on Principal Components Analysis (PCA), and recent results in theoretical computer science, we present a novel algorithm that, applied on gen...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1988848/ https://www.ncbi.nlm.nih.gov/pubmed/17892327 http://dx.doi.org/10.1371/journal.pgen.0030160 |