scMAGeCK - Identify genes associated with multiple expression phenotypes in single-cell CRISPR screening data

scMAGeCK is a computational model to identify genes associated with multiple expression phenotypes from CRISPR screening coupled with single-cell RNA sequencing data (e.g. CROP-seq, Perturb-seq). It provides two complementary modules: a rank-based test (scMAGeCK-RRA) that links a perturbation to a single marker or gene signature, and a linear-regression test (scMAGeCK-LR) that estimates the effect of each perturbation on the expression of all genes. The package also estimates single-cell perturbation-response scores to capture heterogeneous perturbation effects across individual cells.