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...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981753/ |