%0 Generic %1 bryc2013separation %A Bryc, Katarzyna %A Bryc, Wlodek %A Silverstein, Jack W. %D 2013 %K PCA eigenvectors population_genomics random_matrices %T Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations %U http://arxiv.org/abs/1301.4511 %X 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.

@misc{bryc2013separation, 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.}, added-at = {2013-01-30T02:22:29.000+0100}, author = {Bryc, Katarzyna and Bryc, Wlodek and Silverstein, Jack W.}, biburl = {https://www.bibsonomy.org/bibtex/25caef705b74e3236925f34fd3129aaf0/peter.ralph}, interhash = {3ea5c4ba0e0af1c0398a9aa5eea549a9}, intrahash = {5caef705b74e3236925f34fd3129aaf0}, keywords = {PCA eigenvectors population_genomics random_matrices}, note = {cite arxiv:1301.4511Comment: 27 pages, 3 figures}, timestamp = {2013-01-30T02:22:29.000+0100}, title = {Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations}, url = {http://arxiv.org/abs/1301.4511}, year = 2013 }