Package: SingleCellSignalR
Title: Cell Signalling Using Single-Cell RNA-seq or Proteomics Data
Version: 2.0.1
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
Suggests: knitr, markdown, rmarkdown
RoxygenNote: 7.3.2
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/SingleCellSignalR
git_branch: RELEASE_3_22
git_last_commit: 516a201
git_last_commit_date: 2025-11-08
Repository: Bioconductor 3.22
Date/Publication: 2025-11-09
NeedsCompilation: no
Packaged: 2025-11-10 01:18:21 UTC; biocbuild
Author: Jacques Colinge [aut] (ORCID: <https://orcid.org/0000-0003-2466-4824>),
  Jean-Philippe Villemin [cre] (ORCID:
    <https://orcid.org/0000-0002-1838-5880>)
Maintainer: Jean-Philippe Villemin <jpvillemin@gmail.com>
