Entering edit mode
14 months ago
Arda
•
0
Using PLINK1.9, I have determined principal components and calculated eigenvectors. Now, I want to determine outliers but it turns out PLINK has no such function. I have been told EIGENSOFT has additional functionality for removing outliers by PCA, but I do not want to use it. I have tried to utilize some R packages, outlier removal was an integrated function along with PCA. So they were useless.
Can I determine and remove outliers based on eigenvectors? How do you determine your outliers after PCA for genome (vcf) data?
