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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
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 |