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dominoSignal

Cell Communication Analysis for Single Cell RNA Sequencing

Bioconductor version: 3.24 · Package version: 1.7.0

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.

Installation

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

BiocManager::install("dominoSignal")

Details

MaintainerKavita Krishnan <kkrishnan@som.umaryland.edu>
AuthorChristopher Cherry [aut] (ORCID: <https://orcid.org/0000-0002-5481-0055>), Jacob T Mitchell [aut] (ORCID: <https://orcid.org/0000-0002-5370-9692>), Sushma Nagaraj [aut] (ORCID: <https://orcid.org/0000-0001-5166-1309>), Kavita Krishnan [aut, cre] (ORCID: <https://orcid.org/0000-0003-1345-0249>), Dmitrijs Lvovs [aut], Elana Fertig [ctb] (ORCID: <https://orcid.org/0000-0003-3204-342X>), Jennifer Elisseeff [ctb] (ORCID: <https://orcid.org/0000-0002-5066-1996>)
LicenseGPL-3 | file LICENSE
URLhttps://FertigLab.github.io/dominoSignal/
Bug Reportshttps://github.com/FertigLab/dominoSignal/issues
Downloads rank347
Source branchdevel
biocViewsNetwork, SingleCell, Software, SystemsBiology, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagedominoSignal_1.7.0.tar.gz
Windows binary (x86_64)dominoSignal_1.7.0.zip
macOS binary (arm64)dominoSignal_1.7.0.tgz
macOS binary (x86_64)dominoSignal_1.7.0.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: biomaRt, ComplexHeatmap, circlize, ggpubr, grDevices, grid, igraph, Matrix, methods, plyr, stats, utils, magrittr, purrr, dplyr

Suggests: knitr, patchwork, rmarkdown, Seurat, testthat, formatR, BiocFileCache, SingleCellExperiment