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SingleCellSignalR

Cell Signalling Using Single-Cell RNA-seq or Proteomics Data

Bioconductor version: 3.23 · Package version: 2.2.0

Inference of ligand-receptor (L-R) interactions from single-cell expression (transcriptomics/proteomics) data. SingleCellSignalR v2 inferences rely on the statistical model we introduced in the BulkSignalR package as well as the original SingleCellSignalR LR-score (both are available). SingleCellSignalR v2 can be regarded as a wrapper to BulkSignalR fundamental classes. This also enables v2 users to work with any species, whereas only Mus musculus & Homo sapiens were available before in SingleCellSignalR v1.

Installation

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

BiocManager::install("SingleCellSignalR")

Details

MaintainerJean-Philippe Villemin <jpvillemin@gmail.com>
AuthorJacques Colinge [aut] (ORCID: <https://orcid.org/0000-0003-2466-4824>), Jean-Philippe Villemin [cre] (ORCID: <https://orcid.org/0000-0002-1838-5880>)
LicenseCeCILL | file LICENSE
URLhttps://github.com/jcolinge/SingleCellSignalR
Bug Reportshttps://github.com/jcolinge/SingleCellSignalR/issues
Downloads rank471
Source branchRELEASE_3_23
biocViewsNetwork, NetworkInference, Proteomics, RNASeq, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.5)

Imports: stats, utils, methods, ggplot2, matrixTests, matrixStats, foreach, BulkSignalR, grid, ComplexHeatmap, circlize

Suggests: knitr, markdown, rmarkdown

Reverse dependencies

Suggests Me (1): tidySingleCellExperiment