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Fast Principal Component Analysis of Large-Scale Genome-Wide Data
Principal component analysis (PCA) is routinely used to analyze genome-wide single-nucleotide polymorphism (SNP) data, for detecting population structure and potential outliers. However, the size of SNP datasets has increased immensely in recent years and PCA of large datasets has become a time cons...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981753/ https://www.ncbi.nlm.nih.gov/pubmed/24718290 http://dx.doi.org/10.1371/journal.pone.0093766 |