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
| Maintainer | Jean-Philippe Villemin <jpvillemin@gmail.com> |
| Author | Jacques Colinge [aut] (ORCID: <https://orcid.org/0000-0003-2466-4824>), Jean-Philippe Villemin [cre] (ORCID: <https://orcid.org/0000-0002-1838-5880>) |
| License | CeCILL | file LICENSE |
| URL | https://github.com/jcolinge/SingleCellSignalR |
| Bug Reports | https://github.com/jcolinge/SingleCellSignalR/issues |
| Downloads rank | 471 |
| Source branch | RELEASE_3_23 |
| biocViews | Network, NetworkInference, Proteomics, RNASeq, SingleCell, Software, Transcriptomics |
Documentation
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Dependencies
Depends: R (>= 4.5)
Imports: stats, utils, methods, ggplot2, matrixTests, matrixStats, foreach, BulkSignalR, grid, ComplexHeatmap, circlize
Reverse dependencies
Suggests Me (1): tidySingleCellExperiment