VCF2PCACluster: a simple, fast and memory-efficient tool for principal component analysis of tens of millions of SNPs

Principal component analysis (PCA) is an important and widely used unsupervised learning method that determines population structure based on genetic variation. Genome sequencing of thousands of individuals usually generate tens of millions of SNPs, making it challenging for PCA analysis and interpr... View More