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Showing content from https://cran.r-project.org/web/packages/rms/../rmsMD/../ggplot2/../scDiffCom/readme/README.html below:

README

scDiffCom stands for “single-cell Differential Communication” and infers changes in intercellular communication between two biological conditions from scRNA-seq data (as Seurat objects). The package relies on an internal collection of ligand-receptor interactions (available for human, mouse and rat) retrieved from seven curated databases.

* CellChat * CellPhoneDB * CellTalkDB * connectomeDB2020 * ICELLNET * NicheNet * SingleCellSignalR

 

# We currently highly recommend to install the development version from GitHub
devtools::install_github("CyrilLagger/scDiffCom")

# Install release version from CRAN
install.packages("scDiffCom")

As an introduction, please look at the documentation and this vignette.

For a concrete and large-scale project that used scDiffCom, please look at scagecom.org, our murine atlas of age-related changes in intercellular communication.

Please consider reading and citing our Nature Aging paper: here.

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