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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.
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.