KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis

Geographic patterns of human genetic variation provide important insights into human evolution and disease. A commonly used tool to detect and describe them is principal component analysis (PCA) or the supervised linear discriminant analysis of principal components (DAPC). However, genetic features...

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Detalles Bibliográficos
Autores principales: Qin, Xinghu, Chiang, Charleston W K, Gaggiotti, Oscar E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294434/
https://www.ncbi.nlm.nih.gov/pubmed/35649387
http://dx.doi.org/10.1093/bib/bbac202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294434/
https://www.ncbi.nlm.nih.gov/pubmed/35649387
http://dx.doi.org/10.1093/bib/bbac202

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