Bioconductor version: Release (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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CellMapper")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CellMapper")
R Script | CellMapper Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Microarray, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (1.5 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 |
Follow Installation instructions to use this package in your R session.
Source Package | CellMapper_1.4.0.tar.gz |
Windows Binary | CellMapper_1.4.0.zip |
Mac OS X 10.11 (El Capitan) | CellMapper_1.3.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CellMapper |
Package Short Url | http://bioconductor.org/packages/CellMapper/ |
Package Downloads Report | Download Stats |
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