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

Cell Signalling Using Single Cell RNAseq Data Analysis

Bioconductor version: Development (3.20)

Allows single cell RNA seq data analysis, clustering, creates internal network and infers cell-cell interactions.

Author: Simon Cabello-Aguilar Developer [aut], Jacques Colinge Developer [aut, cre]

Maintainer: Jacques Colinge Developer <jacques.colinge at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


To view documentation for the version of this package installed in your system, start R and enter:

my-vignette HTML R Script
Reference Manual PDF


biocViews Classification, Clustering, Network, RNASeq, SingleCell, Software
Version 1.17.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends R (>= 4.0)
Imports BiocManager, circlize, limma, igraph, gplots, grDevices, edgeR, data.table, pheatmap, stats, Rtsne, graphics, stringr, foreach, multtest, scran, utils
System Requirements
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Suggests knitr, rmarkdown
Linking To
Depends On Me
Imports Me scFeatures
Suggests Me tidySingleCellExperiment, tidySpatialExperiment
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SingleCellSignalR_1.17.0.tar.gz
Windows Binary
macOS Binary (x86_64) SingleCellSignalR_1.17.0.tgz
macOS Binary (arm64) SingleCellSignalR_1.17.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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