CellMapper
Predict genes expressed selectively in specific cell types
Bioconductor version: 3.24 · Package version: 1.39.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CellMapper")Details
| Maintainer | Brad Nelms <bnelms.research@gmail.com> |
| Author | Brad Nelms |
| License | Artistic-2.0 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneExpression, Microarray, Software |
| Package Short Url | https://bioconductor.org/packages/CellMapper/ |
Citation
From within R, enter citation("CellMapper"):
Brad Nelms. CellMapper: Predict genes expressed selectively in specific cell types. doi:10.18129/B9.bioc.CellMapper, R package version 1.39.0, https://bioconductor.org/packages/CellMapper.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | CellMapper_1.39.0.tar.gz |
| Windows binary (x86_64) | CellMapper_1.39.0.zip |
| macOS binary (arm64) | CellMapper_1.39.0.tgz |
| macOS binary (x86_64) | CellMapper_1.39.0.tgz |
Dependencies
Depends: S4Vectors, methods
Imports: stats, utils
Suggests: CellMapperData, Biobase, HumanAffyData, ALL, BiocStyle, ExperimentHub
Reverse dependencies
Depends On Me (1): CellMapperData