{ "_id": "6ac997fafe5cc25786e827e0", "Package": "celda", "Title": "CEllular Latent Dirichlet Allocation", "Version": "1.29.3", "Authors@R": "c(person(\"Joshua\", \"Campbell\", email = \"camp@bu.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0780-8662\")),\nperson(\"Shiyi\", \"Yang\", email=\"syyang@bu.edu\", role = c(\"aut\")),\nperson(\"Zhe\", \"Wang\", email=\"zhe@bu.edu\", role = c(\"aut\")),\nperson(\"Sean\", \"Corbett\", email = \"scorbett@bu.edu\", role = c(\"aut\")),\nperson(\"Yusuke\", \"Koga\", email=\"ykoga07@bu.edu\", role = c(\"aut\")))", "Description": "Celda is a suite of Bayesian hierarchical models for\nclustering single-cell RNA-sequencing (scRNA-seq) data. It is\nable to perform \"bi-clustering\" and simultaneously cluster\ngenes into gene modules and cells into cell subpopulations. It\nalso provides wrapper functions for DecontX, a Bayesian method\nto computationally estimate and remove RNA contamination in\nindividual cells without empty droplet information, which is\nimplemented in the 'decontX' package. A variety of scRNA-seq\ndata visualization functions is also included.", "VignetteBuilder": "knitr", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "false", "URL": "https://github.com/campbio/celda, https://www.camplab.net/celda", "BugReports": "https://github.com/campbio/celda/issues", "biocViews": "SingleCell, GeneExpression, Clustering, Sequencing,\nBayesian, ImmunoOncology, DataImport", "NeedsCompilation": "yes", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "libicu-dev libpng-dev libssl-dev perl zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-10-09 20:27:27 UTC", "RemoteUrl": "https://github.com/bioc/celda", "RemoteRef": "HEAD", "RemoteSha": "7dd371780aa32513052ff225860d4664f3d7fdf6", "Packaged": { "Date": "2026-10-10 01:12:52 UTC", "User": "root" }, "Author": "Joshua Campbell [aut, cre] (ORCID:\n),\nShiyi Yang [aut],\nZhe Wang [aut],\nSean Corbett [aut],\nYusuke Koga [aut]", "Maintainer": "Joshua Campbell ", "_user": "bioc", "_type": "src", "_file": "celda_1.29.3.tar.gz", "_fileid": "https://r2.ropensci.org/9d459c05e107b9d21cd26b28efd1de81f84445eea2906acd5dc6ea516ba09c94", "_filesize": 1590354, "_sha256": "9d459c05e107b9d21cd26b28efd1de81f84445eea2906acd5dc6ea516ba09c94", "_expires": "2027-01-18T01:42:16.000Z", "_created": "2026-10-10T01:12:52.000Z", "_published": "2026-10-10T01:42:18.764Z", "_buildurl": "https://github.com/r-universe/bioc/actions/runs/38011786542", "_status": "success", "_host": "GitHub-Actions", "_bioccheck": { "error": 0, "warning": 1, "note": 11 }, "_upstream": "https://github.com/bioc/celda", "_commit": { "id": "7dd371780aa32513052ff225860d4664f3d7fdf6", "author": "Joshua D. 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[ { "page": "appendCeldaList", "title": "Append two celdaList objects", "topics": [ "appendCeldaList" ] }, { "page": "availableModels", "title": "available models", "topics": [ "availableModels" ] }, { "page": "bestLogLikelihood", "title": "Get the log-likelihood", "topics": [ "bestLogLikelihood", "bestLogLikelihood,celdaModel-method", "bestLogLikelihood,SingleCellExperiment-method" ] }, { "page": "celda", "title": "Celda models", "topics": [ "celda" ] }, { "page": "celda_C", "title": "Cell clustering with Celda", "topics": [ "celda_C", "celda_C,ANY-method", "celda_C,SingleCellExperiment-method" ] }, { "page": "celda_CG", "title": "Cell and feature clustering with Celda", "topics": [ "celda_CG", "celda_CG,ANY-method", "celda_CG,SingleCellExperiment-method" ] }, { "page": "celda_G", "title": "Feature clustering with Celda", "topics": [ "celda_G", "celda_G,ANY-method", "celda_G,SingleCellExperiment-method" ] }, { "page": "celdaCGGridSearchRes", "title": "celdaCGGridSearchRes", "topics": 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