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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CellMapper")
In most cases, you don't need to download the package archive at all.
CellMapper
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Predict genes expressed selectively in specific cell types
Bioconductor version: Release (3.5)
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("https://bioconductor.org/biocLite.R")
biocLite("CellMapper")
Documentation
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 |
Details
| biocViews | GeneExpression, Microarray, Software |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
| 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.
| Source Package | CellMapper_1.2.0.tar.gz |
| Windows Binary | CellMapper_1.2.0.zip |
| Mac OS X 10.11 (El Capitan) | CellMapper_1.2.0.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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