scMAGeCK

DOI: 10.18129/B9.bioc.scMAGeCK    

This is the development version of scMAGeCK; to use it, please install the devel version of Bioconductor.

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

Bioconductor version: Development (3.11)

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 "4.0") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")

 

HTML R Script scMAGeCK
PDF   Reference Manual

Details

biocViews CRISPR, GeneExpression, PooledScreens, RNASeq, Regression, SingleCell, Software, Transcriptomics
Version 0.99.14
In Bioconductor since BioC 3.11 (R-4.0)
License BSD_2_clause
Depends
Imports Seurat, stats, utils
LinkingTo
Suggests knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package scMAGeCK_0.99.14.tar.gz
Windows Binary scMAGeCK_0.99.14.zip
Mac OS X 10.11 (El Capitan) scMAGeCK_0.99.14.tgz
Source Repository git clone https://git.bioconductor.org/packages/scMAGeCK
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scMAGeCK
Package Short Url https://bioconductor.org/packages/scMAGeCK/
Package Downloads Report Download Stats

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