A New Dimension to Principal Components Analysis
Year: 2011
Type: other
Abstract: In general, the standard practice for correcting for population stratification in genetic studies is to use principal components analysis (PCA) to categorize samples along different ethnic axes . Price et al. published on this in 2006, and since then PCA plots are a common component of many published GWAS studies.
DOI: 10.59350/bmadr-9b678
Author: Stephen Turner
Institution: University of Virginia
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4417085337