Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data
Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data
Standard preprocessing of single-cell RNA-seq UMI data includes normalization by sequencing depth to remove this technical variability, and nonlinear transformation to stabilize the variance across genes with different expression levels. Instead, two recent papers propose to use statistical count models for these tasks: Hafemeister and Satija (Genome Biol 20:296, 2019) …