scMAGeCK

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see scMAGeCK.

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


Bioconductor version: 3.13

scMAGeCK is a computational model to identify genes associated with multiple expression phenotypes from CRISPR screening coupled with single-cell RNA sequencing data (CROP-seq)

Author: Wei Li, Xiaolong Cheng

Maintainer: Xiaolong Cheng <xiaolongcheng1120 at gmail.com>

Citation (from within R, enter citation("scMAGeCK")):

Installation

To install this package, start R (version "4.1") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scMAGeCK")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scMAGeCK")
scMAGeCK HTML R Script
Reference Manual PDF

Details

biocViews CRISPR, GeneExpression, PooledScreens, RNASeq, Regression, SingleCell, Software, Transcriptomics
Version 1.4.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License BSD_2_clause
Depends
Imports Seurat, stats, utils
System Requirements
URL
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Suggests knitr, rmarkdown
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package scMAGeCK_1.4.0.tar.gz
Windows Binary scMAGeCK_1.4.0.zip
macOS 10.13 (High Sierra) scMAGeCK_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scMAGeCK
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scMAGeCK
Bioc Package Browser https://code.bioconductor.org/browse/scMAGeCK/
Package Short Url https://bioconductor.org/packages/scMAGeCK/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.13 Source Archive