scMAGeCK

DOI: 10.18129/B9.bioc.scMAGeCK  

This package is for version 3.16 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: Release (3.16)

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, Lin Yang

Maintainer: Xiaolong Cheng <xiaolongcheng1120 at gmail.com>

Installation

To install this package, start R (version "4.2") 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")

 

HTML	R Script	scMAGeCK
PDF		Reference Manual

Details

biocViews	CRISPR, GeneExpression, PooledScreens, RNASeq, Regression, SingleCell, Software, Transcriptomics
Version	1.9.1
In Bioconductor since	BioC 3.11 (R-4.0) (3 years)
License	BSD_2_clause
Depends
Imports	Seurat, ggplot2, 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_1.9.1.tar.gz
Windows Binary	scMAGeCK_1.9.1.zip
macOS Binary (x86_64)
macOS Binary (arm64)
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