SingleCellSignalR

DOI: 10.18129/B9.bioc.SingleCellSignalR    

Cell Signalling Using Single Cell RNAseq Data Analysis

Bioconductor version: Release (3.13)

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

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

Maintainer: Jacques Colinge <jacques.colinge at inserm.fr>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

HTML	R Script	my-vignette
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, Clustering, Network, RNASeq, SingleCell, Software
Version	1.4.0
In Bioconductor since	BioC 3.11 (R-4.0) (1.5 years)
License	GPL-3
Depends	R (>= 4.0)
Imports	BiocManager, circlize, limma, igraph, gplots, grDevices, edgeR, SIMLR, data.table, pheatmap, stats, Rtsne, graphics, stringr, foreach, multtest, scran, utils
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	tidySingleCellExperiment
Links To Me
Build Report

Package Archives

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

Source Package	SingleCellSignalR_1.4.0.tar.gz
Windows Binary	SingleCellSignalR_1.4.0.zip
macOS 10.13 (High Sierra)	SingleCellSignalR_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/SingleCellSignalR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SingleCellSignalR
Package Short Url	https://bioconductor.org/packages/SingleCellSignalR/
Package Downloads Report	Download Stats