Consequences of PCA graphs, SNP codings, and PCA variants for elucidating population structure

SNP datasets are high-dimensional, often with thousands to millions of SNPs and hundreds to thousands of samples or individuals. Accordingly, PCA graphs are frequently used to provide a low-dimensional visualization in order to display and discover patterns in SNP data from humans, animals, plants,...

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Detalles Bibliográficos
Autores principales: Gauch, Hugh G., Qian, Sheng, Piepho, Hans-Peter, Zhou, Linda, Chen, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581268/
https://www.ncbi.nlm.nih.gov/pubmed/31211811
http://dx.doi.org/10.1371/journal.pone.0218306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581268/
https://www.ncbi.nlm.nih.gov/pubmed/31211811
http://dx.doi.org/10.1371/journal.pone.0218306

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