{ "_id": "6a1076f4acfb0bcc41cacd8c", "Package": "CSOA", "Type": "Package", "Title": "Calculate per-cell gene signature scores in scRNA-seq data using\ncell set overlaps", "Version": "1.3.1", "Authors@R": "person('Andrei-Florian', 'Stoica', \nemail='andreistoica@foxmail.com',\nrole=c('aut','cre'),\ncomment=c(ORCID='0000-0002-5253-0826'))", "Description": "Cell Set Overlap Analysis (CSOA) is a tool for calculating\nper-cell gene signature scores in an scRNA-seq dataset. CSOA\nconstructs a set for each gene in the signature, consisting of\nthe cells that highly express the gene. Next, all overlaps of\npairs of cell sets are computed, ranked, filtered and scored.\nThe CSOA per-cell score is calculated by summing up all\nproducts of the overlap scores and the min-max-normalized\nexpression of the two involved genes. CSOA can run on a Seurat\nobject, a SingleCellExperiment object, a matrix and a\ndgCMatrix.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "biocViews": "Software, SingleCell, GeneSetEnrichment, GeneExpression", "VignetteBuilder": "knitr", "URL": "https://github.com/andrei-stoica26/CSOA", "BugReports": "https://github.com/andrei-stoica26/CSOA/issues", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev\nlibssl-dev python3 zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-05-06 06:48:28 UTC", "RemoteUrl": "https://github.com/bioc/CSOA", "RemoteRef": "HEAD", "RemoteSha": "959ac2950f251e44bab4c286a51195b086243236", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-06 11:09:38 UTC", "User": "root" }, "Author": "Andrei-Florian Stoica [aut, cre] (ORCID:\n)", "Maintainer": "Andrei-Florian Stoica ", "MD5sum": 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