{ "_id": "6a1af9bc1d7bb097a09fb952", "Package": "SPICEY", "Title": "Calculates cell type specificity from single cell data", "Version": "1.3.0", "Authors@R": "c(\nperson(given = \"Georgina\",\nfamily = \"Fuentes-Páez\",\nrole = c(\"aut\", \"cre\"),\nemail = \"georgina.fuentes@upf.edu\",\ncomment = c(ORCID = \"0009-0003-9417-7148\")),\nperson(given = \"Nacho\",\nfamily = \"Molina\",\nrole = c(\"aut\"),\nemail = \"molinan@igbmc.fr\"),\nperson(given = \"Mireia\",\nfamily = \"Ramos-Rodriguez\",\nrole = c(\"aut\"),\nemail = \"mireia.ramos@upf.edu\"),\nperson(given = \"Lorenzo\",\nfamily = \"Pasquali\",\nrole = c(\"aut\"),\nemail = \"lorenzo.pasquali@upf.edu\"),\nperson(given = \"Ministerio de Ciencia e Innovación\",\nfamily = \"Spain\",\nrole = \"fnd\",\ncomment = c(\"program\" = \"FPI Fellowship\")))", "Description": "SPICEY (SPecificity Index for Coding and Epigenetic\nactivitY) is an R package designed to quantify cell-type\nspecificity in single-cell transcriptomic and epigenomic data,\nparticularly scRNA-seq and scATAC-seq. It introduces two\ncomplementary indices: the Gene Expression Tissue Specificity\nIndex (GETSI) and the Regulatory Element Tissue Specificity\nIndex (RETSI), both based on entropy to provide continuous,\ninterpretable measures of specificity. By integrating gene\nexpression and chromatin accessibility, SPICEY enables\nstandardized analysis of cell-type-specific regulatory programs\nacross diverse tissues and conditions.", "License": "Artistic-2.0", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "biocViews": "Transcriptomics, Epigenetics, SingleCell,\nDifferentialExpression, DifferentialPeakCalling,\nGeneRegulation, GeneTarget, GeneExpression, Transcription", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE)", "URL": "https://georginafp.github.io/SPICEY", "BugReports": "https://github.com/georginafp/SPICEY/issues", "LazyData": "false", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make libbz2-dev libicu-dev liblzma-dev libpng-dev\nlibxml2-dev libssl-dev xz-utils zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 13:05:27 UTC", "RemoteUrl": "https://github.com/bioc/SPICEY", "RemoteRef": "HEAD", "RemoteSha": "8c65e8a22df91698ed97b65989d4a3ea85b59a80", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-30 09:49:13 UTC", "User": "root" }, "Author": "Georgina Fuentes-Páez [aut, cre] (ORCID:\n),\nNacho Molina [aut],\nMireia Ramos-Rodriguez [aut],\nLorenzo Pasquali [aut],\nMinisterio de Ciencia e Innovación Spain [fnd] (program: FPI\nFellowship)", "Maintainer": "Georgina Fuentes-Páez ", "MD5sum": "ba0c0d920eccff1e6a46bfb884e70fb3", "_user": "bioc", "_type": "src", "_file": "SPICEY_1.3.0.tar.gz", "_fileid": "49e126ae64b7a122128b16dcb7afcaceb4baa696e35f8451d717df9d9674d822", "_filesize": 952844, "_sha256": "49e126ae64b7a122128b16dcb7afcaceb4baa696e35f8451d717df9d9674d822", "_created": "2026-05-30T09:49:13.000Z", "_published": "2026-05-30T14:52:44.477Z", "_jobs": [ { "job": 78640726632, "time": 222, "config": "bioc-checks", "r": "4.6.0", "check": "NOTE", "artifact": "7307524575" }, { "job": 78640726658, "time": 334, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7307534180" }, { "job": 78640726673, "time": 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