CellMapper

Predict genes expressed selectively in specific cell types


Bioconductor version: Release (3.20)

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 "4.4") 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")
CellMapper Vignette PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, Microarray, Software
Version 1.32.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License Artistic-2.0
Depends S4Vectors, methods
Imports stats, utils
System Requirements
URL
See More
Suggests CellMapperData, Biobase, HumanAffyData, ALL, BiocStyle, ExperimentHub
Linking To
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Depends On Me CellMapperData
Imports Me
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Build Report Build Report

Package Archives

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

Source Package CellMapper_1.32.0.tar.gz
Windows Binary (x86_64) CellMapper_1.32.0.zip
macOS Binary (x86_64) CellMapper_1.32.0.tgz
macOS Binary (arm64) CellMapper_1.31.0.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