Package: scMAGeCK
Type: Package
Title: Identify genes associated with multiple expression phenotypes in
        single-cell CRISPR screening data
Version: 0.99.1
Date: 2026-07-09
Authors@R: c(
    person("Wei", "Li", email = "li.david.wei@gmail.com", role = c("aut", "cre")),
    person("Xiaolong", "Cheng", email = "xiaolongcheng1120@gmail.com", role = "aut"),
    person("Lin", "Yang", role = "aut"))
Description: 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.
License: BSD_2_clause + file LICENSE
URL: https://github.com/weili-lab/scMAGeCK
BugReports: https://github.com/weili-lab/scMAGeCK/issues
biocViews: CRISPR, SingleCell, RNASeq, Sequencing, PooledScreens,
        Transcriptomics, GeneExpression, Regression
NeedsCompilation: yes
Imports: Seurat (>= 5.0.0), ggplot2, stats, utils, methods, graphics,
        grDevices, Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://biocstaging.r-universe.dev
Date/Publication: 2026-07-10 03:47:54 UTC
RemoteUrl: https://github.com/BiocStaging/scMAGeCK
RemoteRef: HEAD
RemoteSha: e24aa0f3c9734c26ffbc200107adf0e199b26208
Packaged: 2026-07-10 05:54:39 UTC; root
Author: Wei Li [aut, cre],
  Xiaolong Cheng [aut],
  Lin Yang [aut]
Maintainer: Wei Li <li.david.wei@gmail.com>
Depends: R (>= 3.5.0)