Title of article
Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations
Author/Authors
Bryc، نويسنده , , Katarzyna and Bryc، نويسنده , , Wlodek and Silverstein، نويسنده , , Jack W.، نويسنده ,
Issue Information
دوماهنامه با شماره پیاپی سال 2013
Pages
10
From page
34
To page
43
Abstract
We present a mathematical model, and the corresponding mathematical analysis, that justifies and quantifies the use of principal component analysis of biallelic genetic marker data for a set of individuals to detect the number of subpopulations represented in the data. We indicate that the power of the technique relies more on the number of individuals genotyped than on the number of markers.
Keywords
Principal components analysis , Eigenanalysis , eigenvalues , Number of subpopulations , Population structure
Journal title
Theoretical Population Biology
Serial Year
2013
Journal title
Theoretical Population Biology
Record number
1567740
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