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PCA-based population structure inference with generic clustering algorithms
BACKGROUND: Handling genotype data typed at hundreds of thousands of loci is very time-consuming and it is no exception for population structure inference. Therefore, we propose to apply PCA to the genotype data of a population, select the significant principal components using the Tracy-Widom distr...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2009
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2648762/ https://ncbi.nlm.nih.gov/pubmed/19208178 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-S1-S73 |
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