Package: SingleCellSignalR Title: Cell Signalling Using Single-Cell RNA-seq or Proteomics Data Version: 2.3.0 Authors@R: c( person("Jacques","Colinge",email="jacques.colinge@inserm.fr",role="aut",comment = c(ORCID = "0000-0003-2466-4824")), person("Jean-Philippe","Villemin",email="jpvillemin@gmail.com",role="cre",comment = c(ORCID = "0000-0002-1838-5880"))) Description: 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. URL: https://github.com/jcolinge/SingleCellSignalR BugReports: https://github.com/jcolinge/SingleCellSignalR/issues License: CeCILL | file LICENSE Depends: R (>= 4.5) Encoding: UTF-8 LazyData: FALSE biocViews: Network, RNASeq, Software, Proteomics, Transcriptomics, SingleCell, NetworkInference Imports: stats, utils, methods, ggplot2, matrixTests, matrixStats, foreach, BulkSignalR, grid, ComplexHeatmap, circlize Suggests: knitr, markdown, rmarkdown RoxygenNote: 7.3.3 VignetteBuilder: knitr Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev libfreetype6-dev libglpk-dev make libmagick++-dev gsfonts libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev perl libx11-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:52:41 UTC RemoteUrl: https://github.com/bioc/SingleCellSignalR RemoteRef: HEAD RemoteSha: 8b72731b790c588bf5c00b37167b8ab1900fcf32 NeedsCompilation: no Packaged: 2026-07-04 16:04:00 UTC; root Author: Jacques Colinge [aut] (ORCID: ), Jean-Philippe Villemin [cre] (ORCID: ) Maintainer: Jean-Philippe Villemin