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Article

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

Briefings in bioinformatics - 18 Jul 2022

Qin Xinghu, Chiang Charleston W K, Gaggiotti Oscar E

Abstract excerpt

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 produced from both approaches could fail to correctly characterize population structure for complex scenarios...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

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Identifiers

PMID: 35649387
DOI: 10.1093/bib/bbac202
PMCID: PMC9294434

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