SingleCellSignalR

This is the development version of SingleCellSignalR; for the stable release version, see SingleCellSignalR.

Cell Signalling Using Single-Cell RNA-seq or Proteomics Data

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DOI: 10.18129/B9.bioc.SingleCellSignalR

Bioconductor version: Development (3.23)

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 (from within R, enter citation("SingleCellSignalR")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SingleCellSignalR")

For older versions of R, please refer to the appropriate Bioconductor release.