SingleCellSignalR

Cell Signalling Using Single Cell RNAseq Data Analysis


Bioconductor version: Release (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 umontpellier.fr>

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

Installation

To install this package, start R (version "4.4") 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")
my-vignette HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, Clustering, Network, RNASeq, SingleCell, Software
Version 1.18.0
In Bioconductor since BioC 3.11 (R-4.0) (4.5 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
URL
See More
Suggests knitr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me scFeatures
Suggests Me tidySingleCellExperiment, scDiffCom
Links To Me
Build Report Build Report

Package Archives

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

Source Package SingleCellSignalR_1.18.0.tar.gz
Windows Binary (x86_64) SingleCellSignalR_1.18.0.zip
macOS Binary (x86_64) SingleCellSignalR_1.18.0.tgz
macOS Binary (arm64) SingleCellSignalR_1.18.0.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/
Package Downloads Report Download Stats