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  "Package": "scGOclust",
  "Type": "Package",
  "Title": "Measuring Cell Type Similarity with Gene Ontology in Single-Cell\nRNA-Seq",
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  "Authors@R": "c(person(given = \"Yuyao\", family = \"Song\", email = \"ysong@ebi.ac.uk\", role = c(\"aut\", \"cre\", \"ctb\")), person(given = \"Irene\", family = \"Papatheodorou\", email = \"irenep@ebi.ac.uk\", role = c(\"aut\", \"ths\")))",
  "Description": "Traditional methods for analyzing single cell RNA-seq\ndatasets focus solely on gene expression, but this package\nintroduces a novel approach that goes beyond this limitation.\nUsing Gene Ontology terms as features, the package allows for\nthe functional profile of cell populations, and comparison\nwithin and between datasets from the same or different species.\nOur approach enables the discovery of previously unrecognized\nfunctional similarities and differences between cell types and\nhas demonstrated success in identifying cell types' functional\ncorrespondence even between evolutionarily distant species.",
  "URL": "https://github.com/Papatheodorou-Group/scGOclust",
  "BugReports": "https://github.com/Papatheodorou-Group/scGOclust/issues",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
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  "Repository": "https://papatheodorou-group.r-universe.dev",
  "Date/Publication": "2025-05-06 12:47:34 UTC",
  "RemoteUrl": "https://github.com/papatheodorou-group/scgoclust",
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  "Packaged": {
    "Date": "2026-06-03 08:39:04 UTC",
    "User": "root"
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  "Author": "Yuyao Song [aut, cre, ctb],\nIrene Papatheodorou [aut, ths]",
  "Maintainer": "Yuyao Song <ysong@ebi.ac.uk>",
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    "author": "Yuyao Song <48168412+YY-SONG0718@users.noreply.github.com>",
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    "message": "add warning if seurat_clusters is present\n",
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    "description": "PhD student at EMBL-EBI, Computational genomics / Bioinformatics / Single Cell Transcriptomics",
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    "name": "Papatheodorou Group",
    "description": "Decoding phenotypes using single cell genomics "
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    "getCellTypeSharedTerms",
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    "plotCellTypeCorrHeatmap",
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    {
      "page": "analyzeGOSeurat",
      "title": "standard seurat analysis on GO_seurat object",
      "topics": [
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    {
      "page": "cellTypeGOCorr",
      "title": "calculate correlation between cell types represented by scaled GO, per-species",
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    },
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      "page": "crossSpeciesCellTypeGOCorr",
      "title": "calculate cross-species correlation between cell types represented by scaled GO",
      "topics": [
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    {
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    },
    {
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      "topics": [
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    {
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      "topics": [
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    },
    {
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      "title": "get per cell type average scaled vector of GO terms",
      "topics": [
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    },
    {
      "page": "getCellTypeSharedGO",
      "title": "get shared up and down regulated GO terms for all pairs of cell types",
      "topics": [
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      ]
    },
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      "topics": [
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        "Load packages",
        "2. Load input data",
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