|
||
| sPCA is an application of the shrunken PCA which computes principal components to infer population structure with reducing the importance of correlated markers. If you have found any bugs, please e-mail at Seunggeun Lee or Fei Zou | |
| Manual of sPCA. | |
|
Download the latest version of the program [Version 0.2]. To compile and to run sPCA, you need lapack and blas . |
|
|
Citation |
Zou F, Lee S, Knowles MR, Wright FA (2010). Quantification of population structure using correlated SNPs by shrinkage principal components, Human Heredity 70:9-22 |