A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data

Abstract Background Low-depth sequencing allows researchers to increase sample size at the expense of lower accuracy. To incorporate uncertainties while maintaining statistical power, we introduce MCPCA_PopGen to analyze population structure of low-dept...