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Cell Signalling Using Single Cell RNAseq Data Analysis

Bioconductor version: Release (3.18)

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 umontpellier.fr>

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


To install this package, start R (version "4.3") and enter:

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


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 1.14.0
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
Links To Me
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Package Archives

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

Source Package SingleCellSignalR_1.14.0.tar.gz
Windows Binary SingleCellSignalR_1.14.0.zip
macOS Binary (x86_64) SingleCellSignalR_1.14.0.tgz
macOS Binary (arm64) SingleCellSignalR_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SingleCellSignalR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SingleCellSignalR
Bioc Package Browser https://code.bioconductor.org/browse/SingleCellSignalR/
Package Short Url https://bioconductor.org/packages/SingleCellSignalR/
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