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Efficient toolkit implementing best practices for principal component analysis of population genetic data

MOTIVATION: Principal component analysis (PCA) of genetic data is routinely used to infer ancestry and control for population structure in various genetic analyses. However, conducting PCA analyses can be complicated and has several potential pitfalls. These pitfalls include (i) capturing linkage di...

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Detalles Bibliográficos
Publicado en:Bioinformatics
Autores principales: Privé, Florian, Luu, Keurcien, Blum, Michael G B, McGrath, John J, Vilhjálmsson, Bjarni J
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2020
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7750941/
https://ncbi.nlm.nih.gov/pubmed/32415959
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa520
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