The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Analysis tools to investigate changes in intercellular communication from scRNA-seq data. Using a Seurat object as input, the package infers which cell-cell interactions are present in the dataset and how these interactions change between two conditions of interest (e.g. young vs old). It relies on an internal database of ligand-receptor interactions (available for human, mouse and rat) that have been gathered from several published studies. Detection and differential analyses rely on permutation tests. The package also contains several tools to perform over-representation analysis and visualize the results. See Lagger, C. et al. (2023) <doi:10.1038/s43587-023-00514-x> for a full description of the methodology.
Version: | 1.0.0 |
Depends: | R (≥ 4.0.0) |
Imports: | data.table, DelayedArray, future, future.apply, magrittr, methods, Seurat (≥ 4.0.0), stats, utils |
Suggests: | biomaRt, covr, DT, ggplot2, GOSemSim, igraph, kableExtra, KEGGREST, knitr, ontologyIndex, ontoProc, pkgdown, plotly, RColorBrewer, rmarkdown, rrvgo, spelling, shiny, shinythemes, shinyWidgets, SingleCellSignalR, testthat (≥ 3.0.0), visNetwork |
Published: | 2023-11-03 |
DOI: | 10.32614/CRAN.package.scDiffCom |
Author: | Cyril Lagger |
Maintainer: | Cyril Lagger <lagger.cyril at gmail.com> |
License: | MIT + file LICENSE |
URL: | https://cyrillagger.github.io/scDiffCom/ |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | scDiffCom results |
Reference manual: | scDiffCom.pdf |
Package source: | scDiffCom_1.0.0.tar.gz |
Windows binaries: | r-devel: scDiffCom_1.0.0.zip, r-release: scDiffCom_1.0.0.zip, r-oldrel: scDiffCom_1.0.0.zip |
macOS binaries: | r-release (arm64): scDiffCom_1.0.0.tgz, r-oldrel (arm64): scDiffCom_1.0.0.tgz, r-release (x86_64): scDiffCom_1.0.0.tgz, r-oldrel (x86_64): scDiffCom_1.0.0.tgz |
Old sources: | scDiffCom archive |
Please use the canonical form https://CRAN.R-project.org/package=scDiffCom to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.