{ "_id": "6a1af53c1d7bb097a09f9204", "Package": "scmap", "Type": "Package", "Title": "A tool for unsupervised projection of single cell RNA-seq data", "Version": "1.35.0", "Author": "Vladimir Kiselev", "Maintainer": "Vladimir Kiselev ", "Authors@R": "c(person(\"Vladimir\", \"Kiselev\",\nemail = \"vladimir.yu.kiselev@gmail.com\",\nrole=c(\"cre\", \"aut\")),\nperson(\"Andrew\", \"Yiu\",\nrole=c(\"ctb\")),\nperson(\"Martin\", \"Hemberg\",\nrole=c(\"aut\")))", "Description": "Single-cell RNA-seq (scRNA-seq) is widely used to\ninvestigate the composition of complex tissues since the\ntechnology allows researchers to define cell-types using\nunsupervised clustering of the transcriptome. However, due to\ndifferences in experimental methods and computational analyses,\nit is often challenging to directly compare the cells\nidentified in two different experiments. scmap is a method for\nprojecting cells from a scRNA-seq experiment on to the\ncell-types or individual cells identified in a different\nexperiment.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.0.1", "VignetteBuilder": "knitr", "biocViews": "ImmunoOncology, SingleCell, Software, Classification,\nSupportVectorMachine, RNASeq, Visualization, Transcriptomics,\nDataRepresentation, Transcription, Sequencing, Preprocessing,\nGeneExpression, DataImport", "NeedsCompilation": "yes", "URL": "https://github.com/hemberg-lab/scmap", "BugReports": "https://support.bioconductor.org/t/scmap/", "Config/pak/sysreqs": "libicu-dev zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:45:55 UTC", "RemoteUrl": "https://github.com/bioc/scmap", "RemoteRef": "HEAD", "RemoteSha": "bc70ac79d24529e3c6d795036e19c455b1eef635", "Packaged": { "Date": "2026-05-30 09:46:06 UTC", "User": "root" }, "MD5sum": "1ef973eebed6953a77835bbee0d9c505", "_user": "bioc", "_type": "src", "_file": "scmap_1.35.0.tar.gz", "_fileid": "cb4f5b28b02b62005135463a7d75218bd1975060e6261c6f21c3cf0e0c2dc14e", "_filesize": 2224014, "_sha256": "cb4f5b28b02b62005135463a7d75218bd1975060e6261c6f21c3cf0e0c2dc14e", "_created": "2026-05-30T09:46:06.000Z", "_published": "2026-05-30T14:33:32.072Z", "_jobs": [ { "job": 78640595501, "time": 181, "config": "bioc-checks", "r": "4.6.0", "check": "WARNING", "artifact": "7307478749" }, { "job": 78640595519, "time": 240, "config": "linux-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "7307311045" }, { "job": 78640595526, "time": 319, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7307490306" }, { "job": 78640595514, "time": 243, "config": "linux-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7307311323" }, { "job": 78640595547, "time": 278, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7307487000" }, { "job": 78640595508, "time": 182, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7308896449" }, { "job": 78640595516, "time": 336, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "7307432377" }, { "job": 78640595517, "time": 197, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7308898128" }, { "job": 78640595511, "time": 367, "config": "macos-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7307431338" }, { "job": 78639900014, "time": 217, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7307287110" }, { "job": 78640595497, "time": 135, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7307474799" }, { "job": 78640595510, "time": 355, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7307493615" }, { "job": 78640595503, "time": 260, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7307486190" }, { "job": 78640595513, "time": 227, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7307483387" } ], "_bioccheck": { "error": 0, "warning": 1, "note": 10 }, "_buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/bioc/scmap", "_commit": { "id": "bc70ac79d24529e3c6d795036e19c455b1eef635", "author": "A Wokaty ", "committer": "A Wokaty ", "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n", "time": 1777380355 }, "_maintainer": { "name": "Vladimir Kiselev", "email": "vladimir.yu.kiselev@gmail.com", "login": "wikiselev", "description": "Building Scalable Bioinformatics & AI Solutions | Cloud Infrastructure, Pipelines & Data Science Expert, Single-Cell, Drug Discovery", "uuid": 2342606 }, "_distro": "noble", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.4", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "Biobase", "role": "Imports" }, { "package": "SingleCellExperiment", "role": "Imports" }, { "package": "SummarizedExperiment", "role": "Imports" }, { "package": "BiocGenerics", "role": "Imports" }, { "package": "S4Vectors", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "reshape2", "role": "Imports" }, { "package": "matrixStats", "role": "Imports" }, { "package": "proxy", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "googleVis", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "e1071", "role": "Imports" }, { "package": "randomForest", "role": "Imports" }, { "package": "Rcpp", "version": ">= 0.12.12", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "BiocStyle", "role": "Suggests" } ], "_owner": "bioc", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-44", "n": 2 }, { "week": "2026-18", "n": 2 } ], "_tags": [], "_bioc": [ { "branch": "devel", "version": "1.35.0", "bioc": "3.24" }, { "branch": "release", "version": "1.34.0", "bioc": "3.23" } ], "_topics": [ "immunooncology", "singlecell", "software", "classification", "supportvectormachine", "rnaseq", "visualization", "transcriptomics", "datarepresentation", "transcription", "sequencing", "preprocessing", "geneexpression", "dataimport", "bioconductor-package", "human-cell-atlas", "projection-mapping", "single-cell-rna-seq", "openblas", "cpp" ], "_stars": 100, "_contributors": [ { "user": "wikiselev", "count": 89, "uuid": 2342606 }, { "user": "nturaga", "count": 4, "uuid": 2746443 }, { "user": "hpages", "count": 2, "uuid": 8810451 }, { "user": "vobencha", "count": 2, "uuid": 2466173 }, { "user": "kayla-morrell", "count": 1, "uuid": 32339524 } ], "_userbio": { "uuid": 2286807, "type": "organization", "name": "Bioconductor", "description": "Software for the analysis and comprehension of high-throughput genomic data" }, "_downloads": { "count": 770, "source": "https://www.bioconductor.org/packages/stats/bioc/scmap" }, "_mentions": 34, "_devurl": "https://github.com/hemberg-lab/scmap", "_searchresults": 285, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/scmap.html", "manual.pdf" ], "_homeurl": "https://github.com/hemberg-lab/scmap", "_realowner": "bioc", "_cranurl": false, "_exports": [ "getSankey", "indexCell", "indexCluster", "scmapCell", "scmapCell2Cluster", "scmapCluster", "selectFeatures", "setFeatures" ], "_datasets": [ { "name": "ann", "title": "Cell type annotations for data extracted from a publication by Yan et al.", "object": "yan", "class": [ "data.frame" ], "fields": [ "cell_type1" ], "rows": 90, "table": true, "tojson": true }, { "name": "yan", "title": "Single cell RNA-Seq data extracted from a publication by Yan et al.", "object": "yan", "class": [ "data.frame" ], "fields": [ "Oocyte..1.RPKM.", "Oocyte..2.RPKM.", "Oocyte..3.RPKM.", "Zygote..1.RPKM.", "Zygote..2.RPKM.", "Zygote..3.RPKM.", "X2.cell.embryo.1..Cell.1.RPKM.", "X2.cell.embryo.1..Cell.2.RPKM.", "X2.cell.embryo.2..Cell.1.RPKM.", "X2.cell.embryo.2..Cell.2.RPKM.", "X2.cell.embryo.3..Cell.1.RPKM.", "X2.cell.embryo.3..Cell.2.RPKM.", "X4.cell.embryo.1..Cell.1.RPKM.", "X4.cell.embryo.1..Cell.2.RPKM.", "X4.cell.embryo.1..Cell.3.RPKM.", "X4.cell.embryo.1..Cell.4.RPKM.", "X4.cell.embryo.2..Cell.1.RPKM.", "X4.cell.embryo.2..Cell.2.RPKM.", "X4.cell.embryo.2..Cell.3.RPKM.", "X4.cell.embryo.2..Cell.4.RPKM.", "X4.cell.embryo.3..Cell.1.RPKM.", "X4.cell.embryo.3..Cell.2.RPKM.", "X4.cell.embryo.3..Cell.3.RPKM.", "X4.cell.embryo.3..Cell.4.RPKM.", "X8.cell.embryo.1..Cell.1.RPKM.", "X8.cell.embryo.1..Cell.2.RPKM.", "X8.cell.embryo.1..Cell.3.RPKM.", "X8.cell.embryo.1..Cell.4.RPKM.", "X8.cell.embryo.2..Cell.1.RPKM.", "X8.cell.embryo.2..Cell.2.RPKM.", "X8.cell.embryo.2..Cell.3.RPKM.", "X8.cell.embryo.2..Cell.4.RPKM.", "X8.cell.embryo.2..Cell.5.RPKM.", "X8.cell.embryo.2..Cell.6.RPKM.", "X8.cell.embryo.2..Cell.7.RPKM.", "X8.cell.embryo.2..Cell.8.RPKM.", "X8.cell.embryo.3..Cell.1.RPKM.", "X8.cell.embryo.3..Cell.2.RPKM.", "X8.cell.embryo.3..Cell.3.RPKM.", "X8.cell.embryo.3..Cell.4.RPKM.", "X8.cell.embryo.3..Cell.5.RPKM.", "X8.cell.embryo.3..Cell.6.RPKM.", "X8.cell.embryo.3..Cell.7.RPKM.", "X8.cell.embryo.3..Cell.8.RPKM.", "Morulae..1..Cell.1.RPKM.", "Morulae..1..Cell.2.RPKM.", "Morulae..1..Cell.3.RPKM.", "Morulae..1..Cell.4.RPKM.", "Morulae..1..Cell.5.RPKM.", "Morulae..1..Cell.6.RPKM.", "Morulae..1..Cell.7.RPKM.", "Morulae..1..Cell.8.RPKM.", "Morulae..2..Cell.1.RPKM.", "Morulae..2..Cell.2.RPKM.", "Morulae..2..Cell.3.RPKM.", "Morulae..2..Cell.4.RPKM.", "Morulae..2..Cell.5.RPKM.", "Morulae..2..Cell.6.RPKM.", "Morulae..2..Cell.7.RPKM.", "Morulae..2..Cell.8.RPKM.", "Late.blastocyst..1..Cell.1.RPKM.", "Late.blastocyst..1..Cell.2.RPKM.", "Late.blastocyst..1..Cell.3.RPKM.", "Late.blastocyst..1..Cell.4.RPKM.", "Late.blastocyst..1..Cell.5.RPKM.", "Late.blastocyst..1..Cell.6.RPKM.", "Late.blastocyst..1..Cell.7.RPKM.", "Late.blastocyst..1..Cell.8.RPKM.", "Late.blastocyst..1..Cell.9.RPKM.", "Late.blastocyst..1..Cell.10.RPKM.", "Late.blastocyst..1..Cell.11.RPKM.", "Late.blastocyst..1..Cell.12.RPKM.", "Late.blastocyst..2..Cell.1.RPKM.", "Late.blastocyst..2..Cell.2.RPKM.", "Late.blastocyst..2..Cell.3.RPKM.", "Late.blastocyst..2..Cell.4.RPKM.", "Late.blastocyst..2..Cell.5.RPKM.", "Late.blastocyst..2..Cell.6.RPKM.", "Late.blastocyst..2..Cell.7.RPKM.", "Late.blastocyst..2..Cell.8.RPKM.", "Late.blastocyst..2..Cell.9.RPKM.", "Late.blastocyst..2..Cell.10.RPKM.", "Late.blastocyst..3..Cell.1.RPKM.", "Late.blastocyst..3..Cell.2.RPKM.", "Late.blastocyst..3..Cell.3.RPKM.", "Late.blastocyst..3..Cell.4.RPKM.", "Late.blastocyst..3..Cell.5.RPKM.", "Late.blastocyst..3..Cell.6.RPKM.", "Late.blastocyst..3..Cell.7.RPKM.", "Late.blastocyst..3..Cell.8.RPKM." ], "rows": 20214, "table": true, "tojson": true } ], "_help": [ { "page": "ann", "title": "Cell type annotations for data extracted from a publication by Yan et al.", "topics": [ "ann" ] }, { "page": "EuclSqNorm", "title": "The Euclidean Squared Norm of each column of a matrix is computed and the whole result is returned as a vector. Used as part of the approx. calculations of the cosine similarity between the query and the reference.", "topics": [ "EuclSqNorm" ] }, { "page": "getSankey", "title": "Plot Sankey diagram comparing two clusterings", "topics": [ "getSankey" ] }, { "page": "indexCell", "title": "Create an index for a dataset to enable fast approximate nearest neighbour search", "topics": [ "indexCell", "indexCell,SingleCellExperiment-method", "indexCell.SingleCellExperiment" ] }, { "page": "indexCluster", "title": "Create a precomputed Reference", "topics": [ "indexCluster", "indexCluster,SingleCellExperiment-method", "indexCluster.SingleCellExperiment" ] }, { "page": "NN", "title": "Main nearest neighbour calculation function. Used on the first reference dataset. Returns a list of three objects: 1) the cell indices of the w nearest neighbours 2) the corresponding approx. cosine similarities", "topics": [ "NN" ] }, { "page": "normalise", "title": "Normalises each column of a matrix", "topics": [ "normalise" ] }, { "page": "scmapCell", "title": "For each cell in a query dataset, we search for the nearest neighbours by cosine distance within a collection of reference datasets.", "topics": [ "scmapCell", "scmapCell,SingleCellExperiment-method", "scmapCell.SingleCellExperiment" ] }, { "page": "scmapCell2Cluster", "title": "Approximate k-NN cell-type classification using scfinemap", "topics": [ "scmapCell2Cluster", "scmapCell2Cluster,list-method", "scmapCell2Cluster.SingleCellExperiment" ] }, { "page": "scmapCluster", "title": "scmap main function", "topics": [ "scmapCluster", "scmapCluster,SingleCellExperiment-method", "scmapCluster.SingleCellExperiment" ] }, { "page": "selectFeatures", "title": "Find the most informative features (genes/transcripts) for projection", "topics": [ "selectFeatures", "selectFeatures,SingleCellExperiment-method", "selectFeatures.SingleCellExperiment" ] }, { "page": "setFeatures", "title": "Set the most important features (genes/transcripts) for projection", "topics": [ "setFeatures", "setFeatures,SingleCellExperiment-method", "setFeatures.SingleCellExperiment" ] }, { "page": "subdistsmult", "title": "Computes the dot product between the subcentroids from the indexed reference and the subvectors of an element of the query dataset. Returns an M by k matrix. Used as an intermediate step (in NNfirst and NNmult) for calculating an approximation of the cosine similarity between the query and the reference.", "topics": [ "subdistsmult" ] }, { "page": "yan", "title": "Single cell RNA-Seq data extracted from a publication by Yan et al.", "topics": [ "yan" ] } ], "_readme": "https://github.com/bioc/scmap/raw/HEAD/README.md", "_rundeps": [ "abind", "Biobase", "BiocGenerics", "class", "cli", "cpp11", "DelayedArray", "dplyr", "e1071", "farver", "generics", "GenomicRanges", "ggplot2", "glue", "googleVis", "gtable", "IRanges", "isoband", "jsonlite", "labeling", "lattice", "lifecycle", "magrittr", "MASS", "Matrix", "MatrixGenerics", "matrixStats", "pillar", "pkgconfig", "plyr", "proxy", "R6", "randomForest", "RColorBrewer", "Rcpp", "RcppArmadillo", "reshape2", "rlang", "S4Arrays", "S4Vectors", "S7", "scales", "Seqinfo", "SingleCellExperiment", "SparseArray", "stringi", "stringr", "SummarizedExperiment", "tibble", "tidyselect", "utf8", "vctrs", "viridisLite", "withr", "XVector" ], "_sysdeps": [ { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "scmap.Rmd", "filename": "scmap.html", "title": "scmap package vignette", "author": "Vladimir Kiselev and Martin Hemberg", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "SingleCellExperiment class", "scmap input", "Feature selection", "scmap-cluster", "Index", "Projection", "Results", "Visualisation", "scmap-cell", "Stochasticity", "Sub-centroids", "Sub-clusters", "Cluster annotation", "sessionInfo()" ], "created": "2017-06-28 15:16:57", "modified": "2023-05-15 17:35:11", "commits": 17 } ], "_score": 9.056904851336473, "_indexed": true, "_nocasepkg": "scmap", "_universes": [ "bioc", "wikiselev", "hemberg-lab" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.35.0", "date": "2026-05-30T09:48:50.000Z", "distro": "noble", "arch": "aarch64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "0e1f0cbb28c09ad4d7a426482bfe9b83d297a99dd52d13d28017dbb701a2e577", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.7.0", "os": "linux", "version": "1.35.0", "date": "2026-05-30T10:21:08.000Z", "distro": "noble", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "23013dfc852118d97020e10a24864eacdcbb591397a2ff7c890b29dadf72f83a", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.6.0", "os": "linux", "version": "1.35.0", "date": "2026-05-30T09:48:51.000Z", "distro": "noble", "arch": "aarch64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "3945f68a0f5b605116c28c415f53d4df9ff0e326da080cb8a884889551f34da0", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.6.0", "os": "linux", "version": "1.35.0", "date": "2026-05-30T10:20:43.000Z", "distro": "noble", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "28a695be93e2fd065a172fcd89c5a7acaf7f5223e117b251ce20a958a0a40074", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.5.3", "os": "mac", "version": "1.35.0", "date": "2026-05-30T14:31:09.000Z", "arch": "aarch64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "716633ecdc9adf0fb0d821a08b766ecb90ce159b5672d60753c16b51610e4397", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.5.3", "os": "mac", "version": "1.35.0", "date": "2026-05-30T10:09:49.000Z", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "ffea1602babc262a9f4d7038ff0dd9b9367d22edc1fe409ce00953d73aa56ffc", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.6.0", "os": "mac", "version": "1.35.0", "date": "2026-05-30T14:31:22.000Z", "arch": "aarch64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "72f557ee0b069c98b267cda371ab48c1cb65ae1812d65dd1989afc796994da10", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.6.0", "os": "mac", "version": "1.35.0", "date": "2026-05-30T10:09:15.000Z", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "b85284ba9af1eb51d73d2fb1fab173d3ec2ce7572241defe04f3c6ec6ce48ece", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.6.0", "os": "wasm", "version": "1.35.0", "date": "2026-05-30T10:20:16.000Z", "arch": "emscripten", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "e0f78135c8851d2615cf4259aa5aad7e1704e2c9b525abefdfc98a727128fbb6", "status": "success", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.7.0", "os": "win", "version": "1.35.0", "date": "2026-05-30T10:21:21.000Z", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "3aa78a181fbc6c433779ad78a6d4c2a61b15b7b55309ffa38116c74c0db55174", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.5.3", "os": "win", "version": "1.35.0", "date": "2026-05-30T10:19:23.000Z", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "088f3b04efb5b44568bb4e7a54b35214168c79558c3c1815eb8458d5c8bca7cc", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" }, { "r": "4.6.0", "os": "win", "version": "1.35.0", "date": "2026-05-30T10:19:16.000Z", "arch": "x86_64", "commit": "bc70ac79d24529e3c6d795036e19c455b1eef635", "fileid": "caf747cb439aabe2166d1259a27fe69af78ba24b998337795764f077aa93b353", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26676941282" } ] }