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
Enhances
Depends On Me CellMapperData
Imports Me
Suggests Me
Links To Me
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 (64-bit only)
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