{
  "_id": "6ab378a43d719c1f8408fbd5",
  "Type": "Package",
  "Package": "scDiagnostics",
  "Title": "Cell type annotation diagnostics",
  "Version": "1.7.15",
  "Authors@R": "c(\nperson(\"Anthony\", \"Christidis\", role = c(\"aut\", \"cre\"),\nemail = \"anthony-alexander_christidis@hms.harvard.edu\",\ncomment = c(ORCID = \"0000-0002-4565-6279\")),\nperson(\"Andrew\", \"Ghazi\", role = \"aut\"),\nperson(\"Smriti\", \"Chawla\", role = \"aut\"),\nperson(\"Nitesh\", \"Turaga\", role = \"ctb\"),\nperson(\"Ludwig\", \"Geistlinger\", role = \"aut\"),\nperson(\"Robert\", \"Gentleman\", role = \"aut\")\n)",
  "Description": "The scDiagnostics package provides diagnostic plots to\nassess the quality of cell type assignments from single cell\ngene expression profiles. The implemented functionality allows\nto assess the reliability of cell type annotations, investigate\ngene expression patterns, and explore relationships between\ndifferent cell types in query and reference datasets allowing\nusers to detect potential misalignments between reference and\nquery datasets. The package also provides visualization\ncapabilities for diagnostics purposes.",
  "License": "Artistic-2.0",
  "URL": "https://github.com/ccb-hms/scDiagnostics,\nhttps://ccb-hms.github.io/scDiagnostics",
  "BugReports": "https://github.com/ccb-hms/scDiagnostics/issues",
  "VignetteBuilder": "knitr",
  "biocViews": "Annotation, Classification, Clustering, GeneExpression,\nRNASeq, SingleCell, Software, Transcriptomics",
  "Encoding": "UTF-8",
  "LazyDataCompression": "xz",
  "RoxygenNote": "7.3.3",
  "Config/testthat/edition": "3",
  "LazyData": "true",
  "Config/pak/sysreqs": "libglpk-dev libicu-dev libxml2-dev libssl-dev\nzlib1g-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-09-23 01:24:22 UTC",
  "RemoteUrl": "https://github.com/bioc/scDiagnostics",
  "RemoteRef": "HEAD",
  "RemoteSha": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-23 06:14:50 UTC",
    "User": "root"
  },
  "Author": "Anthony Christidis [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4565-6279>),\nAndrew Ghazi [aut],\nSmriti Chawla [aut],\nNitesh Turaga [ctb],\nLudwig Geistlinger [aut],\nRobert Gentleman [aut]",
  "Maintainer": "Anthony Christidis <anthony-alexander_christidis@hms.harvard.edu>",
  "_user": "bioc",
  "_type": "src",
  "_file": "scDiagnostics_1.7.15.tar.gz",
  "_fileid": "https://r2.ropensci.org/4727cda7c37797aef73809dfb5eb555c60c0c3cb855050e814aeed98ca99106b",
  "_filesize": 8532217,
  "_sha256": "4727cda7c37797aef73809dfb5eb555c60c0c3cb855050e814aeed98ca99106b",
  "_expires": "2027-01-01T06:58:42.000Z",
  "_created": "2026-09-23T06:14:50.000Z",
  "_published": "2026-09-23T06:58:44.258Z",
  "_bioccheck": {
    "error": 0,
    "warning": 1,
    "note": 14
  },
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522",
  "_status": "success",
  "_upstream": "https://github.com/bioc/scDiagnostics",
  "_commit": {
    "id": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
    "author": "Anthony Christidis <anthony.christidis@stat.ubc.ca>",
    "committer": "Anthony Christidis <anthony.christidis@stat.ubc.ca>",
    "message": "Silence scran deprecation warnings and tolerate missing Suggests, bump to 1.7.15\n\nTwo failures on the first run against Bioconductor 3.24 / R 4.6:\n\nR CMD check reported significant warnings in the examples on all three\nplatforms. scran 1.41 deprecates its HVG helpers in favour of scrapper,\nso every modelGeneVar()/getTopHVGs() call - including the fitTrendVar()\nthat modelGeneVar() calls internally - now signals a deprecatedWarning,\nand rcmdcheck runs with error_on = \"warning\". Add an internal\nmuffleDeprecation() that muffles only the deprecatedWarning class,\nleaving genuine warnings alone, and wrap the six calls in processPCA(),\ndetectAnomaly() and calculateReconstructionError() with it. The three\nexamples that call scran::getTopHVGs() directly wrap it in\nsuppressWarnings() instead, with a comment saying why.\n\nThis is a stopgap: the HVG selection needs to move to scrapper before\nscran makes these functions defunct.\n\nThe macOS job additionally failed with \"Packages suggested but not\navailable: 'scRNAseq', 'celldex'\". Neither is used by anything that runs\nduring the check - they appear in documentation prose and inst/script -\nand both currently fail their own Bioconductor 3.24 builds, so set\n_R_CHECK_FORCE_SUGGESTS_=false rather than fail this package's check\nover them.\n",
    "time": 1790126662
  },
  "_maintainer": {
    "name": "Anthony Christidis",
    "email": "anthony-alexander_christidis@hms.harvard.edu",
    "login": "anthonychristidis",
    "description": "Computational Scientist, Core for Computational Biomedicine, Harvard Medical School",
    "uuid": 34141555,
    "orcid": "0000-0002-4565-6279"
  },
  "_distro": "resolute",
  "_jobs": [
    {
      "job": 107067530426,
      "time": 309,
      "config": "bioc-checks",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "10735277077"
    },
    {
      "job": 107067530443,
      "time": 803,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10735342151"
    },
    {
      "job": 107067530427,
      "time": 695,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10735466599"
    },
    {
      "job": 107067530399,
      "time": 544,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "10735985251"
    },
    {
      "job": 107067530424,
      "time": 555,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10735288312"
    },
    {
      "job": 107065965586,
      "time": 406,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10735276534"
    },
    {
      "job": 107067530497,
      "time": 267,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "10735400851"
    },
    {
      "job": 107067530448,
      "time": 1564,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10735199731"
    },
    {
      "job": 107067530414,
      "time": 2557,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "10736677937"
    },
    {
      "job": 107067530614,
      "time": 2504,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10736826345"
    }
  ],
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.4.0",
      "role": "Depends"
    },
    {
      "package": "SingleCellExperiment",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "isotree",
      "role": "Imports"
    },
    {
      "package": "FNN",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "GGally",
      "role": "Imports"
    },
    {
      "package": "ggridges",
      "role": "Imports"
    },
    {
      "package": "SummarizedExperiment",
      "role": "Imports"
    },
    {
      "package": "ranger",
      "role": "Imports"
    },
    {
      "package": "transport",
      "role": "Imports"
    },
    {
      "package": "cramer",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "bluster",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "AUCell",
      "role": "Suggests"
    },
    {
      "package": "BiocStyle",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "scran",
      "role": "Suggests"
    },
    {
      "package": "scRNAseq",
      "role": "Suggests"
    },
    {
      "package": "SingleR",
      "role": "Suggests"
    },
    {
      "package": "celldex",
      "role": "Suggests"
    },
    {
      "package": "scuttle",
      "role": "Suggests"
    },
    {
      "package": "scater",
      "role": "Suggests"
    },
    {
      "package": "BiocSingular",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "ComplexHeatmap",
      "role": "Suggests"
    },
    {
      "package": "circlize",
      "role": "Suggests"
    },
    {
      "package": "grid",
      "role": "Suggests"
    },
    {
      "package": "ragg",
      "role": "Suggests"
    },
    {
      "package": "splatter",
      "role": "Suggests"
    },
    {
      "package": "SpatialExperiment",
      "role": "Suggests"
    },
    {
      "package": "BiocFileCache",
      "role": "Suggests"
    },
    {
      "package": "pROC",
      "role": "Suggests"
    },
    {
      "package": "PRROC",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "bioc",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-39",
      "n": 4
    },
    {
      "week": "2025-40",
      "n": 4
    },
    {
      "week": "2025-41",
      "n": 2
    },
    {
      "week": "2025-42",
      "n": 4
    },
    {
      "week": "2025-44",
      "n": 10
    },
    {
      "week": "2025-51",
      "n": 1
    },
    {
      "week": "2025-52",
      "n": 2
    },
    {
      "week": "2026-01",
      "n": 1
    },
    {
      "week": "2026-04",
      "n": 2
    },
    {
      "week": "2026-25",
      "n": 16
    },
    {
      "week": "2026-26",
      "n": 1
    },
    {
      "week": "2026-27",
      "n": 2
    },
    {
      "week": "2026-28",
      "n": 2
    },
    {
      "week": "2026-38",
      "n": 40
    },
    {
      "week": "2026-39",
      "n": 15
    }
  ],
  "_tags": [],
  "_bioc": [
    {
      "branch": "devel",
      "version": "1.7.3",
      "bioc": "3.24"
    },
    {
      "branch": "release",
      "version": "1.6.1",
      "bioc": "3.23"
    }
  ],
  "_topics": [
    "annotation",
    "classification",
    "clustering",
    "geneexpression",
    "rnaseq",
    "singlecell",
    "software",
    "transcriptomics"
  ],
  "_stars": 17,
  "_contributors": [
    {
      "user": "anthonychristidis",
      "count": 398,
      "uuid": 34141555
    },
    {
      "user": "smritichawla",
      "count": 184,
      "uuid": 23184365
    },
    {
      "user": "andrewghazi",
      "count": 33,
      "uuid": 6763470
    },
    {
      "user": "lgeistlinger",
      "count": 19,
      "uuid": 11871050
    },
    {
      "user": "nturaga",
      "count": 18,
      "uuid": 2746443
    },
    {
      "user": "jwokaty",
      "count": 8,
      "uuid": 1744257
    }
  ],
  "_userbio": {
    "uuid": 2286807,
    "type": "organization",
    "name": "Bioconductor",
    "followers": 468,
    "description": "Software for the analysis and comprehension of high-throughput genomic data"
  },
  "_downloads": {
    "count": 306,
    "source": "https://www.bioconductor.org/packages/stats/bioc/scDiagnostics"
  },
  "_devurl": "https://github.com/ccb-hms/scdiagnostics",
  "_pkgdown": "https://ccb-hms.github.io/scDiagnostics",
  "_searchresults": 76,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/scDiagnostics.html"
  ],
  "_homeurl": "https://github.com/ccb-hms/scdiagnostics",
  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
    "boxplotPCA",
    "calculateAveragePairwiseCorrelation",
    "calculateCategorizationEntropy",
    "calculateCellDistances",
    "calculateCellDistancesSimilarity",
    "calculateCellSimilarityPCA",
    "calculateCramerPValue",
    "calculateDiscriminantSpace",
    "calculateGeneShifts",
    "calculateGraphIntegration",
    "calculateHotellingPValue",
    "calculateHVGOverlap",
    "calculateMMDPValue",
    "calculateReconstructionError",
    "calculateSIRSpace",
    "calculateVarImpOverlap",
    "calculateWassersteinDistance",
    "compareMarkers",
    "comparePCA",
    "comparePCASubspace",
    "detectAnomaly",
    "histQCvsAnnotation",
    "plotCellTypeMDS",
    "plotCellTypePCA",
    "plotGeneExpressionDimred",
    "plotGeneSetScores",
    "plotMarkerExpression",
    "plotPairwiseDistancesDensity",
    "plotQCvsAnnotation",
    "processPCA",
    "projectPCA",
    "projectSIR",
    "regressPC"
  ],
  "_datasets": [
    {
      "name": "covid_query_data",
      "title": "COVID-19 PBMC Query (Severe COVID-19) Single-Cell RNA-Seq Dataset",
      "object": "covid_query_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "covid_reference_data",
      "title": "COVID-19 PBMC Reference (Healthy) Single-Cell RNA-Seq Dataset",
      "object": "covid_reference_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "merfish_query_data",
      "title": "MERFISH Colitis Query (Day 9 Colitis) Spatial Dataset",
      "object": "merfish_query_data",
      "class": [
        "SpatialExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "merfish_reference_data",
      "title": "MERFISH Colitis Reference (Healthy) Spatial Dataset",
      "object": "merfish_reference_data",
      "class": [
        "SpatialExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "qc_data",
      "title": "Quality Control Single-Cell RNA-Seq Dataset",
      "object": "qc_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "query_data",
      "title": "Query Single-Cell RNA-Seq Dataset",
      "object": "query_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "reference_data",
      "title": "Reference Single-Cell RNA-Seq Dataset",
      "object": "reference_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "zeisel_benchmark_results",
      "title": "Zeisel Brain Anomaly Detection Benchmark Results",
      "object": "zeisel_benchmark_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "zeisel_query_data",
      "title": "Zeisel Brain Query Single-Cell RNA-Seq Dataset",
      "object": "zeisel_query_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "zeisel_reference_data",
      "title": "Zeisel Brain Reference Single-Cell RNA-Seq Dataset",
      "object": "zeisel_reference_data",
      "class": [
        "SingleCellExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "boxplotPCA",
      "title": "Plot Principal Components for Different Cell Types",
      "topics": [
        "boxplotPCA"
      ]
    },
    {
      "page": "calculateCategorizationEntropy",
      "title": "Calculate Categorization Entropy",
      "topics": [
        "calculateCategorizationEntropy"
      ]
    },
    {
      "page": "calculateCellDistancesSimilarity",
      "title": "Function to Calculate Bhattacharyya Coefficients and Hellinger Distances",
      "topics": [
        "calculateCellDistancesSimilarity"
      ]
    },
    {
      "page": "calculateCramerPValue",
      "title": "Calculate Cramer Test P-Values for Two-Sample Comparison of Multivariate ECDFs",
      "topics": [
        "calculateCramerPValue"
      ]
    },
    {
      "page": "calculateDiscriminantSpace",
      "title": "Project Query Data onto a Unified Discriminant Space of Reference Data",
      "topics": [
        "calculateDiscriminantSpace",
        "plot.calculateDiscriminantSpaceObject"
      ]
    },
    {
      "page": "calculateGeneShifts",
      "title": "Calculate Top Loading Gene Expression Shifts",
      "topics": [
        "calculateGeneShifts",
        "plot.calculateGeneShiftsObject"
      ]
    },
    {
      "page": "calculateGraphIntegration",
      "title": "Calculate Graph Community Integration Diagnostics",
      "topics": [
        "calculateGraphIntegration",
        "plot.calculateGraphIntegrationObject"
      ]
    },
    {
      "page": "calculateHotellingPValue",
      "title": "Perform Hotelling's T-squared Test on PCA Scores for Single-cell RNA-seq Data",
      "topics": [
        "calculateHotellingPValue"
      ]
    },
    {
      "page": "calculateHVGOverlap",
      "title": "Calculate the Overlap Coefficient for Highly Variable Genes",
      "topics": [
        "calculateHVGOverlap"
      ]
    },
    {
      "page": "calculateMMDPValue",
      "title": "Calculate Maximum Mean Discrepancy P-Values for Two-Sample Comparison",
      "topics": [
        "calculateMMDPValue"
      ]
    },
    {
      "page": "calculateReconstructionError",
      "title": "Calculate PCA Reconstruction Errors for Out-of-Distribution Anomaly Detection",
      "topics": [
        "calculateReconstructionError",
        "plot.calculateReconstructionErrorObject"
      ]
    },
    {
      "page": "calculateSIRSpace",
      "title": "Calculate Sliced Inverse Regression (SIR) Space for Different Cell Types",
      "topics": [
        "calculateSIRSpace",
        "plot.calculateSIRSpaceObject"
      ]
    },
    {
      "page": "calculateVarImpOverlap",
      "title": "Compare Gene Importance Across Datasets Using Random Forest",
      "topics": [
        "calculateVarImpOverlap"
      ]
    },
    {
      "page": "comparePCA",
      "title": "Compare Principal Components Analysis (PCA) Results",
      "topics": [
        "comparePCA",
        "plot.comparePCAObject"
      ]
    },
    {
      "page": "detectAnomaly",
      "title": "PCA Anomaly Scores via Isolation Forests with Visualization",
      "topics": [
        "detectAnomaly",
        "plot.detectAnomalyObject"
      ]
    },
    {
      "page": "histQCvsAnnotation",
      "title": "Histograms: QC Stats and Annotation Scores Visualization",
      "topics": [
        "histQCvsAnnotation"
      ]
    },
    {
      "page": "regressPC",
      "title": "Plot Regression Results on Principal Components",
      "topics": [
        "plot.regressPCObject",
        "regressPC"
      ]
    },
    {
      "page": "plotCellTypeMDS",
      "title": "Plot Reference and Query Cell Types using MDS",
      "topics": [
        "plotCellTypeMDS"
      ]
    },
    {
      "page": "plotCellTypePCA",
      "title": "Plot Principal Components for Different Cell Types",
      "topics": [
        "plotCellTypePCA"
      ]
    },
    {
      "page": "plotGeneExpressionDimred",
      "title": "Visualize gene expression on a dimensional reduction plot",
      "topics": [
        "plotGeneExpressionDimred"
      ]
    },
    {
      "page": "plotGeneSetScores",
      "title": "Visualization of gene sets or pathway scores on dimensional reduction plot",
      "topics": [
        "plotGeneSetScores"
      ]
    },
    {
      "page": "plotMarkerExpression",
      "title": "Plot gene expression distribution from overall and cell type-specific perspective",
      "topics": [
        "plotMarkerExpression"
      ]
    },
    {
      "page": "plotPairwiseDistancesDensity",
      "title": "Ridgeline Plot of Pairwise Distance Analysis",
      "topics": [
        "plotPairwiseDistancesDensity"
      ]
    },
    {
      "page": "plotQCvsAnnotation",
      "title": "Scatter plot: QC stats vs Cell Type Annotation Scores",
      "topics": [
        "plotQCvsAnnotation"
      ]
    },
    {
      "page": "processPCA",
      "title": "Process PCA for SingleCellExperiment Objects",
      "topics": [
        "processPCA"
      ]
    },
    {
      "page": "projectPCA",
      "title": "Project Query Data Onto PCA Space of Reference Data",
      "topics": [
        "projectPCA"
      ]
    },
    {
      "page": "projectSIR",
      "title": "Project Query Data Onto SIR Space of Reference Data",
      "topics": [
        "projectSIR"
      ]
    }
  ],
  "_readme": "https://github.com/bioc/scDiagnostics/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "assorthead",
    "beachmat",
    "BH",
    "Biobase",
    "BiocGenerics",
    "BiocNeighbors",
    "BiocParallel",
    "bluster",
    "boot",
    "cli",
    "cluster",
    "codetools",
    "cpp11",
    "cramer",
    "crayon",
    "data.table",
    "DelayedArray",
    "dplyr",
    "farver",
    "FNN",
    "forcats",
    "formatR",
    "futile.logger",
    "futile.options",
    "generics",
    "GenomicRanges",
    "GGally",
    "ggplot2",
    "ggridges",
    "ggstats",
    "glue",
    "gtable",
    "hms",
    "igraph",
    "IRanges",
    "isoband",
    "isotree",
    "jsonlite",
    "labeling",
    "lambda.r",
    "lattice",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixGenerics",
    "matrixStats",
    "patchwork",
    "pillar",
    "pkgconfig",
    "prettyunits",
    "progress",
    "purrr",
    "R6",
    "ranger",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "RhpcBLASctl",
    "rlang",
    "S4Arrays",
    "S4Vectors",
    "S7",
    "scales",
    "Seqinfo",
    "SingleCellExperiment",
    "snow",
    "SparseArray",
    "stringi",
    "stringr",
    "SummarizedExperiment",
    "tibble",
    "tidyr",
    "tidyselect",
    "transport",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "XVector"
  ],
  "_vignettes": [
    {
      "source": "Introduction.Rmd",
      "filename": "Introduction.html",
      "title": "Introduction to scDiagnostics ",
      "author": "Anthony Christidis, Andrew Ghazi, Smriti Chawla, Nitesh Turaga, Ludwig Geistlinger, Robert Gentleman",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Purpose",
        "Overview of the workflow",
        "Installation",
        "Installation from Bioconductor (Release)",
        "Installation from GitHub (Development)",
        "A worked example with known ground truth",
        "Finding the function you need",
        "Visualization",
        "Dataset alignment and statistical comparison",
        "Anomaly detection and cell distances",
        "Marker gene alignment",
        "Utilities",
        "R Session Info"
      ],
      "created": "2026-09-21 03:14:37",
      "modified": "2026-09-21 03:14:37",
      "commits": 1
    },
    {
      "source": "ZeiselBenchmarking.Rmd",
      "filename": "ZeiselBenchmarking.html",
      "title": "Benchmarking Anomaly Detection Against Ground Truth ",
      "author": "Anthony Christidis, Andrew Ghazi, Smriti Chawla, Nitesh Turaga, Ludwig Geistlinger, Robert Gentleman",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Purpose",
        "A live example: a withheld cell type related to a retained one",
        "Baseline: distinct, related, and rare withheld cell types",
        "Sensitivity to label noise, class imbalance, and batch effects",
        "Hyperparameter sensitivity",
        "Combining both methods",
        "R Session Info"
      ],
      "created": "2026-09-21 03:14:37",
      "modified": "2026-09-21 03:14:37",
      "commits": 1
    },
    {
      "source": "COVIDCaseStudy.Rmd",
      "filename": "COVIDCaseStudy.html",
      "title": "Case Study: A Disease-Associated Monocyte State in COVID-19 ",
      "author": "Anthony Christidis, Andrew Ghazi, Smriti Chawla, Nitesh Turaga, Ludwig Geistlinger, Robert Gentleman",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Purpose",
        "The data",
        "Step 1: project",
        "Step 2: detect",
        "Step 3: characterize",
        "R Session Info"
      ],
      "created": "2026-09-21 03:14:37",
      "modified": "2026-09-21 04:13:03",
      "commits": 2
    },
    {
      "source": "MERFISHCaseStudy.Rmd",
      "filename": "MERFISHCaseStudy.html",
      "title": "Case Study: An Inflamed Fibroblast State in Spatial Colitis Data ",
      "author": "Anthony Christidis, Andrew Ghazi, Smriti Chawla, Nitesh Turaga, Ludwig Geistlinger, Robert Gentleman",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Purpose",
        "The data",
        "Step 1: project",
        "Step 2: detect",
        "Step 3: characterize",
        "R Session Info"
      ],
      "created": "2026-09-21 03:14:37",
      "modified": "2026-09-21 04:13:03",
      "commits": 2
    }
  ],
  "_score": 8.287353772714747,
  "_indexed": true,
  "_nocasepkg": "scdiagnostics",
  "_universes": [
    "bioc",
    "anthonychristidis",
    "ccb-hms"
  ],
  "_previous": "1.7.4",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.7.15",
      "date": "2026-09-23T06:21:50.000Z",
      "distro": "resolute",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/f92705e6cd3e0d82c277a1bb30c4af47aee040502946f2add7d68754ea6f03db",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.7.15",
      "date": "2026-09-23T06:20:16.000Z",
      "distro": "resolute",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/7480ecf91285bcd6054b2fadf2b68bc25909c7e906173dd5c5eb5f760a72e5a1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.7.15",
      "date": "2026-09-23T06:17:53.000Z",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/1d52e035a8c6d5258824a605f900846964fbd8d655f21018d8aa45564b9df2b2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.7.15",
      "date": "2026-09-23T06:18:02.000Z",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/3d6c9fafe47a275b933f3d15f4de73b1687adaafbe60fc7fe04e2be6c260586b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.7.15",
      "date": "2026-09-23T06:19:48.000Z",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/d0918f9c5f121c23bc6e1c96c6820b03ec6b1c0b3b5fff6908f8266a57655347",
      "status": "success",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.7.15",
      "date": "2026-09-23T06:34:55.000Z",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/ed1af34a0cbad660dcc9cc1af17115f2ee26e951e8f2dd7486b7e4462ecc3170",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.7.15",
      "date": "2026-09-23T06:49:26.000Z",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/e12473b54eda8c7e6688994598a21a479106aa348dcb3daae2cbb8872f7f9cea",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.7.15",
      "date": "2026-09-23T06:48:40.000Z",
      "commit": "bee3ff588074c8e26c3b15b12610f23b7c19acdc",
      "fileid": "https://r2.ropensci.org/bf375aea4e3c04d0a642a5ed102e9e34610ae2969859c61961f7bb3449fa24d7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/35825403522"
    }
  ]
}