SingleCellSignalR

DOI: 10.18129/B9.bioc.SingleCellSignalR    

Cell Signalling Using Single Cell RNAseq Data Analysis

Bioconductor version: Release (3.12)

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>

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

Installation

To install this package, start R (version "4.0") 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")

 

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PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, Clustering, Network, RNASeq, SingleCell, Software
Version 1.2.0
In Bioconductor since BioC 3.11 (R-4.0) (0.5 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_1.2.0.tar.gz
Windows Binary SingleCellSignalR_1.2.0.zip
macOS 10.13 (High Sierra) SingleCellSignalR_1.2.0.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

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