dominoSignal

This is the development version of dominoSignal; for the stable release version, see dominoSignal.

Cell Communication Analysis for Single Cell RNA Sequencing


Bioconductor version: Development (3.21)

dominoSignal is a package developed to analyze cell signaling through ligand - receptor - transcription factor networks in scRNAseq data. It takes as input information transcriptomic data, requiring counts, z-scored counts, and cluster labels, as well as information on transcription factor activation (such as from SCENIC) and a database of ligand and receptor pairings (such as from CellPhoneDB). This package creates an object storing ligand - receptor - transcription factor linkages by cluster and provides several methods for exploring, summarizing, and visualizing the analysis.

Author: Christopher Cherry [aut] (ORCID: ), Jacob T Mitchell [aut, cre] (ORCID: ), Sushma Nagaraj [aut] (ORCID: ), Kavita Krishnan [aut] (ORCID: ), Dmitrijs Lvovs [aut], Elana Fertig [ctb] (ORCID: ), Jennifer Elisseeff [ctb] (ORCID: )

Maintainer: Jacob T Mitchell <jmitch81 at jhmi.edu>

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

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("dominoSignal")

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("dominoSignal")
Get Started with dominoSignal HTML R Script
Interacting with domino Objects HTML R Script
Plotting Functions and Options HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Network, SingleCell, Software, SystemsBiology, Transcriptomics
Version 1.1.0
In Bioconductor since BioC 3.20 (R-4.4) (< 6 months)
License GPL-3 | file LICENSE
Depends R (>= 4.2.0)
Imports biomaRt, ComplexHeatmap, circlize, ggpubr, grDevices, grid, igraph, Matrix, methods, plyr, stats, utils
System Requirements
URL https://fertiglab.github.io/dominoSignal/
Bug Reports https://github.com/FertigLab/dominoSignal/issues
See More
Suggests knitr, patchwork, rmarkdown, Seurat, testthat, formatR, BiocFileCache, SingleCellExperiment
Linking To
Enhances
Depends On Me
Imports Me
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Links To Me
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Package Archives

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

Source Package dominoSignal_1.1.0.tar.gz
Windows Binary (x86_64) dominoSignal_1.1.0.zip (64-bit only)
macOS Binary (x86_64) dominoSignal_1.1.0.tgz
macOS Binary (arm64) dominoSignal_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/dominoSignal
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dominoSignal
Bioc Package Browser https://code.bioconductor.org/browse/dominoSignal/
Package Short Url https://bioconductor.org/packages/dominoSignal/
Package Downloads Report Download Stats