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SingleCellSignalR
This is the released version of SingleCellSignalR; for the devel version, see SingleCellSignalR.
Cell Signalling Using Single-Cell RNA-seq or Proteomics Data
Bioconductor version: Release (3.22)
Inference of ligand-receptor (L-R) interactions from single-cell expression (transcriptomics/proteomics) data. SingleCellSignalR v2 inferences rely on the statistical model we introduced in the BulkSignalR package as well as the original SingleCellSignalR LR-score (both are available). SingleCellSignalR v2 can be regarded as a wrapper to BulkSignalR fundamental classes. This also enables v2 users to work with any species, whereas only Mus musculus & Homo sapiens were available before in SingleCellSignalR v1.
Author: Jacques Colinge [aut] ORCID iD ORCID: 0000-0003-2466-4824 , Jean-Philippe Villemin [cre] ORCID iD ORCID: 0000-0002-1838-5880
Maintainer: Jean-Philippe Villemin <jpvillemin at gmail.com>
citation("SingleCellSignalR")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SingleCellSignalR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SingleCellSignalR")
Details
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Follow Installation instructions to use this package in your R session.