Highlighting nonlinear patterns in population genetics datasets

Detecting structure in population genetics and case-control studies is important, as it exposes phenomena such as ecoclines, admixture and stratification. Principal Component Analysis (PCA) is a linear dimension-reduction technique commonly used for this purpose, but it struggles to reveal complex,...

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Detalles Bibliográficos
Autores principales: Alanis-Lobato, Gregorio, Cannistraci, Carlo Vittorio, Eriksson, Anders, Manica, Andrea, Ravasi, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311249/
https://www.ncbi.nlm.nih.gov/pubmed/25633916
http://dx.doi.org/10.1038/srep08140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311249/
https://www.ncbi.nlm.nih.gov/pubmed/25633916
http://dx.doi.org/10.1038/srep08140

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