CellMapper

DOI: 10.18129/B9.bioc.CellMapper  

Predict genes expressed selectively in specific cell types

Bioconductor version: Release (3.16)

Infers cell type-specific expression based on co-expression similarity with known cell type marker genes. Can make accurate predictions using publicly available expression data, even when a cell type has not been isolated before.

Author: Brad Nelms

Maintainer: Brad Nelms <bnelms.research at gmail.com>

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

Installation

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

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

BiocManager::install("CellMapper")

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("CellMapper")

 

PDF R Script CellMapper Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, Microarray, Software
Version 1.24.0
In Bioconductor since BioC 3.4 (R-3.3) (6.5 years)
License Artistic-2.0
Depends S4Vectors, methods
Imports stats, utils
LinkingTo
Suggests CellMapperData, Biobase, HumanAffyData, ALL, BiocStyle, ExperimentHub
SystemRequirements
Enhances
URL
Depends On Me CellMapperData
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package CellMapper_1.24.0.tar.gz
Windows Binary CellMapper_1.24.0.zip
macOS Binary (x86_64) CellMapper_1.24.0.tgz
macOS Binary (arm64) CellMapper_1.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CellMapper
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CellMapper
Bioc Package Browser https://code.bioconductor.org/browse/CellMapper/
Package Short Url https://bioconductor.org/packages/CellMapper/
Package Downloads Report Download Stats

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