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...
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| Main Authors: | , |
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| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2014
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| Subjects: | |
| Online Access: | https://doaj.org/article/7c52eb15209244efa849360d96256343 |
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