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Bioconductor - SingleCellSignalR (development version)

SingleCellSignalR

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 (3.22)

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 "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews Classification, Clustering, Network, RNASeq, SingleCell, Software Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (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 Package Archives

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

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