{
  "_id": "6ad1d6d929625c14e47aeb24",
  "Package": "SlimR",
  "Version": "1.2.0",
  "Title": "Adaptive Machine Learning Powered, Context Matching Tool for\nSingle-Cell and Spatial Transcriptomics Annotation",
  "Description": "Annotates single-cell and spatial-transcriptomic (ST) data\nusing context-matching marker datasets. It creates a unified\nmarker list (`Markers_list`) from multiple sources: built-in\ncurated databases ('Cellmarker2', 'PanglaoDB', 'ScType',\n'CellTypist', 'scBaseCount', 'scIBD', 'TCellSI', 'PCTIT',\n'PCTAM'), Seurat objects with cell labels, or user-provided\nExcel tables. SlimR first uses adaptive machine learning for\nparameter optimization, and then offers two automated\nannotation approaches: 'cluster-based' and 'per-cell'.\nCluster-based annotation assigns one label per cluster,\nexpression-based probability calculation, and AUC validation.\nPer-cell annotation assigns labels to individual cells using\nthree scoring methods with adaptive thresholds and ratio-based\nconfidence filtering, plus optional UMAP spatial smoothing,\nmaking it ideal for heterogeneous clusters and rare cell types.\nThe package also supports semi-automated workflows with\nheatmaps, feature plots, and combined visualizations for manual\nannotation. For more information, see the package documentation\nat <https://github.com/zhaoqing-wang/SlimR>.",
  "Authors@R": "person(given = \"Zhaoqing\",family = \"Wang\",\nemail = c(\"zhaoqingwang@mail.sdu.edu.cn\"),\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8348-7245\"))",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/zhaoqing-wang/SlimR",
  "BugReports": "https://github.com/zhaoqing-wang/SlimR/issues",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "Date": "2026-10-16",
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  "Repository": "https://zhaoqing-wang.r-universe.dev",
  "Date/Publication": "2026-10-16 03:10:50 UTC",
  "RemoteUrl": "https://github.com/zhaoqing-wang/slimr",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Author": "Zhaoqing Wang [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8348-7245>)",
  "Maintainer": "Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>",
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  "_created": "2026-10-16T07:26:11.000Z",
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    "Celltype_Annotation_Heatmap",
    "Celltype_annotation_PanglaoDB",
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    "Celltype_Calculate",
    "Celltype_Calculate_PerCell",
    "Celltype_Compare",
    "Celltype_Verification",
    "Celltype_Verification_PerCell",
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    "Compute_Gene_PRC",
    "Markers_filter_Cellmarker2",
    "Markers_filter_PanglaoDB",
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    "paletteDiscrete",
    "Parameter_Calculate",
    "Plot_Group_Gene_Heatmap",
    "Plot_Hierarchy_Proportion",
    "Plot_Voronoi_diagram",
    "Read_excel_markers",
    "Read_seurat_markers"
  ],
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        "cellontology_id",
        "marker",
        "Symbol",
        "GeneID",
        "Genetype",
        "Genename",
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    {
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      "title": "ArchR colour palettes",
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      "title": "Calculate Cluster Variability (Use in package)",
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        "Cellmarker2_table"
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    {
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      "title": "Annotate Seurat Object with SlimR Cell Type Predictions",
      "concept": [
        "Section_3_Automated_Annotation"
      ],
      "topics": [
        "Celltype_Annotation"
      ]
    },
    {
      "page": "Celltype_annotation_Cellmarker2",
      "title": "Uses \"marker_list\" from Cellmarker2 for cell annotation",
      "concept": [
        "Section_5_Other_Functions_Provided"
      ],
      "topics": [
        "Celltype_annotation_Cellmarker2"
      ]
    },
    {
      "page": "Celltype_annotation_Combined",
      "title": "Uses \"marker_list\" to generate combined plot for cell annotation",
      "concept": [
        "Section_4_Semi_Automated_Annotation"
      ],
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        "Celltype_Annotation_Combined"
      ]
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      "title": "Uses \"marker_list\" from Excel input for cell annotation",
      "concept": [
        "Section_5_Other_Functions_Provided"
      ],
      "topics": [
        "Celltype_annotation_Excel"
      ]
    },
    {
      "page": "Celltype_annotation_features",
      "title": "Annotate cell types using features plot with different marker databases",
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