To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("CellMapper")

In most cases, you don't need to download the package archive at all.

CellMapper

 

   

This is the development version of CellMapper; for the stable release version, see CellMapper.

Predict genes expressed selectively in specific cell types

Bioconductor version: Development (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("CellMapper")

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 1.3.0
In Bioconductor since BioC 3.4 (R-3.3) (0.5 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
Build Report  

Package Archives

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

Package Source CellMapper_1.3.0.tar.gz
Windows Binary CellMapper_1.3.0.zip
Mac OS X 10.11 (El Capitan) CellMapper_1.3.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/CellMapper
Package Short Url http://bioconductor.org/packages/CellMapper/
Package Downloads Report Download Stats

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