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README.md
In scDiffCom: Differential Analysis of Intercellular Communication from scRNA-Seq Data
scDiffCom
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.
Display LRI databases *
CellChat *
CellPhoneDB *
CellTalkDB *
connectomeDB2020 *
ICELLNET *
NicheNet *
SingleCellSignalR
Installation
# We currently highly recommend to install the development version from GitHub
devtools::install_github("CyrilLagger/scDiffCom")
# Install release version from CRAN
install.packages("scDiffCom")
Usage
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.
Citation
Please consider reading and citing our Nature Aging paper:
here.
Try the scDiffCom package in your browser
Any scripts or data that you put into this service are public.
scDiffCom documentation built on Nov. 4, 2023, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
scDiffCom
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.
Display LRI databases * CellChat * CellPhoneDB * CellTalkDB * connectomeDB2020 * ICELLNET * NicheNet * SingleCellSignalRInstallation
# We currently highly recommend to install the development version from GitHub
devtools::install_github("CyrilLagger/scDiffCom")
# Install release version from CRAN
install.packages("scDiffCom")
Usage
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.
Citation
Please consider reading and citing our Nature Aging paper: here.
Try the scDiffCom package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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