{ "_id": "6a1afa581d7bb097a09fbf77", "Package": "SingleCellSignalR", "Title": "Cell Signalling Using Single-Cell RNA-seq or Proteomics Data", "Version": "2.3.0", "Authors@R": "c(\nperson(\"Jacques\",\"Colinge\",email=\"jacques.colinge@inserm.fr\",role=\"aut\",comment = c(ORCID = \"0000-0003-2466-4824\")),\nperson(\"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\nsingle-cell expression (transcriptomics/proteomics) data.\nSingleCellSignalR v2 inferences rely on the statistical model\nwe introduced in the BulkSignalR package as well as the\noriginal SingleCellSignalR LR-score (both are available).\nSingleCellSignalR v2 can be regarded as a wrapper to\nBulkSignalR fundamental classes. This also enables v2 users to\nwork with any species, whereas only Mus musculus & Homo sapiens\nwere available before in SingleCellSignalR v1.", "URL": "https://github.com/jcolinge/SingleCellSignalR", "BugReports": "https://github.com/jcolinge/SingleCellSignalR/issues", "License": "CeCILL | file LICENSE", "Encoding": "UTF-8", "LazyData": "FALSE", "biocViews": "Network, RNASeq, Software, Proteomics, Transcriptomics,\nSingleCell, NetworkInference", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libglpk-dev make libmagick++-dev gsfonts\nlibicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev perl\nlibx11-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": { "Date": "2026-05-30 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