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 | ||
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 |