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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...

詳細記述

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書誌詳細
主要な著者: Lee, Chih, Abdool, Ali, Huang, Chun-Hsi
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2009
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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