{
  "_id": "6a211e80cd65a98ecbd1e046",
  "Package": "PopComm",
  "Title": "Population-Level Cell-Cell Communication Analysis Tools",
  "Version": "1.0.1",
  "Authors@R": "c(person(given = \"Zheng\", family = \"Gong\", email = \"gongzheng131@hotmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7285-2630\")),\nperson(given = \"Mengwei\", family = \"Li\", email = \"limengwei833@gmail.com\", role = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0001-6163-2827\")))",
  "Description": "Facilitates population-level analysis of ligand-receptor\n(LR) interactions using large-scale single-cell transcriptomic\ndata. Identifies significant LR pairs and quantifies their\ninteractions through correlation-based filtering and projection\nscore computations. Designed for large-sample single-cell\nstudies, the package employs statistical modeling, including\nlinear regression, to investigate LR relationships between cell\ntypes. It provides a systematic framework for understanding\ncell-cell communication, uncovering regulatory interactions and\nsignaling mechanisms. Offers tools for LR pair-level,\nsample-level, and differential interaction analyses, with\ncomprehensive visualization support to aid biological\ninterpretation. The methodology is described in a manuscript\ncurrently under review and will be referenced here once\npublished or publicly available.",
  "URL": "https://github.com/JusticeGO/PopComm",
  "BugReports": "https://github.com/JusticeGO/PopComm/issues",
  "biocViews": "",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.2.3",
  "LazyData": "true",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev",
  "Repository": "https://justicego.r-universe.dev",
  "Date/Publication": "2026-02-04 09:00:31 UTC",
  "RemoteUrl": "https://github.com/justicego/popcomm",
  "RemoteRef": "HEAD",
  "RemoteSha": "6e4d7ba83582b8d57d70e4ae2b5ea1a567768e38",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 06:38:11 UTC",
    "User": "root"
  },
  "Author": "Zheng Gong [aut, cre] (ORCID: <https://orcid.org/0000-0001-7285-2630>),\nMengwei Li [aut, ctb] (ORCID: <https://orcid.org/0000-0001-6163-2827>)",
  "Maintainer": "Zheng Gong <gongzheng131@hotmail.com>",
  "MD5sum": "726a18aa6493383d2752177a56a2d062",
  "_user": "justicego",
  "_type": "src",
  "_file": "PopComm_1.0.1.tar.gz",
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  "_filesize": 2712128,
  "_sha256": "233a912d6d643ba2c949b7c903527eb406b13878103c224beae219e2a5f9f9f8",
  "_created": "2026-06-04T06:38:11.000Z",
  "_published": "2026-06-04T06:43:12.900Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/justicego/actions/runs/26935177840",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/justicego/popcomm",
  "_commit": {
    "id": "6e4d7ba83582b8d57d70e4ae2b5ea1a567768e38",
    "author": "GongZ <1243287088@qq.com>",
    "committer": "GongZ <1243287088@qq.com>",
    "message": "update v1.0.1\n",
    "time": 1770195631
  },
  "_maintainer": {
    "name": "Zheng Gong",
    "email": "gongzheng131@hotmail.com",
    "orcid": "0000-0001-7285-2630"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "Seurat",
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    },
    {
      "package": "broom",
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      "package": "dplyr",
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    {
      "package": "purrr",
      "version": ">= 0.3.0",
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      "package": "rlang",
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      "package": "stringr",
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    {
      "package": "tibble",
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      "package": "tidyselect",
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    {
      "package": "Matrix",
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      "role": "Imports"
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    {
      "package": "ggplot2",
      "version": ">= 3.3.0",
      "role": "Imports"
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    {
      "package": "ggpubr",
      "version": ">= 0.6.0",
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    {
      "package": "pheatmap",
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      "package": "reshape2",
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  "_owner": "justicego",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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  "_tags": [
    {
      "name": "v1.0.0",
      "date": "2025-11-01"
    }
  ],
  "_stars": 1,
  "_contributors": [
    {
      "user": "justicego",
      "count": 93,
      "uuid": 41421539
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  ],
  "_userbio": {
    "uuid": 41421539,
    "type": "user",
    "name": "GongZ"
  },
  "_downloads": {
    "count": 142,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PopComm"
  },
  "_devurl": "https://github.com/justicego/popcomm",
  "_searchresults": 1,
  "_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/PopComm.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/justicego/popcomm",
  "_realowner": "justicego",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.0.1",
      "date": "2025-04-25"
    },
    {
      "version": "1.0.0",
      "date": "2025-11-01"
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  ],
  "_exports": [
    "boxplot_lr_group_comparison",
    "circle_plot",
    "dot_plot",
    "dotplot_lr_continuous_group",
    "filter_lr_all",
    "filter_lr_single",
    "heatmap_sample",
    "lr_linear_model_discrete",
    "one_step_all",
    "one_step_single",
    "pca_sample",
    "score_lr_all",
    "score_lr_single"
  ],
  "_datasets": [
    {
      "name": "filtered_lr_eg",
      "title": "Example for filtered_lr",
      "object": "filtered_lr_eg",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ligand",
        "receptor",
        "cor",
        "p_val",
        "adjust.p",
        "sender",
        "receiver",
        "slope",
        "intercept",
        "r2",
        "fstat"
      ],
      "rows": 1513,
      "table": true,
      "tojson": true
    },
    {
      "name": "lr_db",
      "title": "Ligand-Receptor Pair Database",
      "object": "lr_db",
      "class": [
        "data.frame"
      ],
      "fields": [
        "lr_pair",
        "ligand_gene_symbol",
        "receptor_gene_symbol",
        "ligand_gene_id",
        "receptor_gene_id",
        "ligand_ensembl_protein_id",
        "receptor_ensembl_protein_id",
        "ligand_ensembl_gene_id",
        "receptor_ensembl_gene_id",
        "evidence"
      ],
      "rows": 3398,
      "table": true,
      "tojson": true
    },
    {
      "name": "lr_scores_eg",
      "title": "Example for lr_scores",
      "object": "lr_scores_eg",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ligand",
        "receptor",
        "cor",
        "p_val",
        "adjust.p",
        "sender",
        "receiver",
        "slope",
        "intercept",
        "r2",
        "fstat",
        "sample",
        "score",
        "normalized_score"
      ],
      "rows": 187593,
      "table": true,
      "tojson": true
    },
    {
      "name": "matrix_object",
      "title": "Example for matrix object",
      "object": "matrix_object",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "Endothelial--GSM4850581",
        "Endothelial--GSM5572757",
        "Endothelial--GSM5572758",
        "Endothelial--GSM5572759",
        "Endothelial--GSM5572760",
        "Endothelial--GSM5572763",
        "Endothelial--GSM6720563",
        "Endothelial--GSM6720564",
        "Endothelial--GSM6720565",
        "Endothelial--GSM6720566",
        "Endothelial--GSM6720567",
        "Endothelial--GSM6720568",
        "Endothelial--GSM6720569",
        "Endothelial--GSM6720570",
        "Endothelial--GSM6720571",
        "Endothelial--GSM6720572",
        "Endothelial--GSM6720573",
        "Endothelial--GSM6720574",
        "Endothelial--GSM6720575",
        "Endothelial--GSM6720576",
        "Endothelial--GSM6720577",
        "Endothelial--GSM6720578",
        "Endothelial--GSM6720579",
        "Endothelial--GSM6720580",
        "Endothelial--GSM6720581",
        "Endothelial--GSM6720582",
        "Endothelial--GSM6720583",
        "Endothelial--HCAHeart7656534",
        "Endothelial--HCAHeart7656535",
        "Endothelial--HCAHeart7656536",
        "Endothelial--HCAHeart7656538",
        "Endothelial--HCAHeart7728606",
        "Endothelial--HCAHeart7745966",
        "Endothelial--HCAHeart7745967",
        "Endothelial--HCAHeart7745968",
        "Endothelial--HCAHeart7745969",
        "Endothelial--HCAHeart7745970",
        "Endothelial--HCAHeart7751845",
        "Endothelial--HCAHeart7843999",
        "Endothelial--HCAHeart7844000",
        "Endothelial--HCAHeart7844001",
        "Endothelial--HCAHeart7844002",
        "Endothelial--HCAHeart7844003",
        "Endothelial--HCAHeart7844004",
        "Endothelial--HCAHeart7850539",
        "Endothelial--HCAHeart7850540",
        "Endothelial--HCAHeart7850541",
        "Endothelial--HCAHeart7850542",
        "Endothelial--HCAHeart7850543",
        "Endothelial--HCAHeart7850544",
        "Endothelial--HCAHeart7850545",
        "Endothelial--HCAHeart7850546",
        "Endothelial--HCAHeart7850547",
        "Endothelial--HCAHeart7850548",
        "Endothelial--HCAHeart7850549",
        "Endothelial--HCAHeart7850551",
        "Endothelial--HCAHeart7905327",
        "Endothelial--HCAHeart7905328",
        "Endothelial--HCAHeart7905329",
        "Endothelial--HCAHeart7905330",
        "Endothelial--HCAHeart7905331",
        "Endothelial--HCAHeart7905332",
        "Endothelial--HCAHeart8102858",
        "Endothelial--HCAHeart8102859",
        "Endothelial--HCAHeart8102860",
        "Endothelial--HCAHeart8102861",
        "Endothelial--HCAHeart8102862",
        "Endothelial--HCAHeart8102863",
        "Endothelial--HCAHeart8102865",
        "Endothelial--HCAHeart8102866",
        "Endothelial--HCAHeart8102867",
        "Endothelial--HCAHeart8102868",
        "Perivascular--GSM4850581",
        "Perivascular--GSM5572757",
        "Perivascular--GSM5572758",
        "Perivascular--GSM5572759",
        "Perivascular--GSM5572760",
        "Perivascular--GSM5572763",
        "Perivascular--GSM6720563",
        "Perivascular--GSM6720564",
        "Perivascular--GSM6720565",
        "Perivascular--GSM6720566",
        "Perivascular--GSM6720567",
        "Perivascular--GSM6720568",
        "Perivascular--GSM6720569",
        "Perivascular--GSM6720570",
        "Perivascular--GSM6720571",
        "Perivascular--GSM6720572",
        "Perivascular--GSM6720573",
        "Perivascular--GSM6720574",
        "Perivascular--GSM6720575",
        "Perivascular--GSM6720576",
        "Perivascular--GSM6720577",
        "Perivascular--GSM6720578",
        "Perivascular--GSM6720579",
        "Perivascular--GSM6720580",
        "Perivascular--GSM6720581",
        "Perivascular--GSM6720582",
        "Perivascular--GSM6720583",
        "Perivascular--HCAHeart7656534",
        "Perivascular--HCAHeart7656535",
        "Perivascular--HCAHeart7656536",
        "Perivascular--HCAHeart7656538",
        "Perivascular--HCAHeart7728606",
        "Perivascular--HCAHeart7745966",
        "Perivascular--HCAHeart7745967",
        "Perivascular--HCAHeart7745968",
        "Perivascular--HCAHeart7745969",
        "Perivascular--HCAHeart7745970",
        "Perivascular--HCAHeart7751845",
        "Perivascular--HCAHeart7843999",
        "Perivascular--HCAHeart7844000",
        "Perivascular--HCAHeart7844001",
        "Perivascular--HCAHeart7844002",
        "Perivascular--HCAHeart7844003",
        "Perivascular--HCAHeart7844004",
        "Perivascular--HCAHeart7850539",
        "Perivascular--HCAHeart7850540",
        "Perivascular--HCAHeart7850541",
        "Perivascular--HCAHeart7850542",
        "Perivascular--HCAHeart7850543",
        "Perivascular--HCAHeart7850544",
        "Perivascular--HCAHeart7850545",
        "Perivascular--HCAHeart7850546",
        "Perivascular--HCAHeart7850547",
        "Perivascular--HCAHeart7850548",
        "Perivascular--HCAHeart7850549",
        "Perivascular--HCAHeart7850551",
        "Perivascular--HCAHeart7905327",
        "Perivascular--HCAHeart7905328",
        "Perivascular--HCAHeart7905329",
        "Perivascular--HCAHeart7905330",
        "Perivascular--HCAHeart7905331",
        "Perivascular--HCAHeart7905332",
        "Perivascular--HCAHeart8102858",
        "Perivascular--HCAHeart8102859",
        "Perivascular--HCAHeart8102860",
        "Perivascular--HCAHeart8102861",
        "Perivascular--HCAHeart8102862",
        "Perivascular--HCAHeart8102863",
        "Perivascular--HCAHeart8102865",
        "Perivascular--HCAHeart8102866",
        "Perivascular--HCAHeart8102867",
        "Perivascular--HCAHeart8102868"
      ],
      "rows": 223,
      "table": true,
      "tojson": true
    },
    {
      "name": "metadata_eg",
      "title": "Example for metadata",
      "object": "metadata_eg",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sample",
        "Project",
        "Age_imputation",
        "Age_range_normalized",
        "Age_group",
        "Sex",
        "Standardized_region",
        "IFNscore",
        "IFN_type"
      ],
      "rows": 163,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "boxplot_lr_group_comparison",
      "title": "Boxplot Comparison of Ligand-Receptor Interaction Scores Across Groups",
      "topics": [
        "boxplot_lr_group_comparison"
      ]
    },
    {
      "page": "circle_plot",
      "title": "Plot Circular Ligand-Receptor Interaction Network",
      "topics": [
        "circle_plot"
      ]
    },
    {
      "page": "dot_plot",
      "title": "Create Ligand-Receptor Interaction Dot Plot",
      "topics": [
        "dot_plot"
      ]
    },
    {
      "page": "dotplot_lr_continuous_group",
      "title": "Dotplot of Ligand-Receptor Interaction Scores Against Continuous Group Variable",
      "topics": [
        "dotplot_lr_continuous_group"
      ]
    },
    {
      "page": "filter_lr_all",
      "title": "Filter and Analyze Ligand-Receptor Pair Correlations (All Cell Types)",
      "topics": [
        "filter_lr_all"
      ]
    },
    {
      "page": "filter_lr_single",
      "title": "Filter and Analyze Ligand-Receptor Pair Correlations (Specified Sender and Receiver)",
      "topics": [
        "filter_lr_single"
      ]
    },
    {
      "page": "filtered_lr_eg",
      "title": "Example for filtered_lr",
      "topics": [
        "filtered_lr_eg"
      ]
    },
    {
      "page": "heatmap_sample",
      "title": "Generate Heatmap of Ligand-Receptor Interaction Scores",
      "topics": [
        "heatmap_sample"
      ]
    },
    {
      "page": "lr_db",
      "title": "Ligand-Receptor Pair Database",
      "topics": [
        "lr_db"
      ]
    },
    {
      "page": "lr_linear_model_discrete",
      "title": "Compare Ligand-Receptor Interaction Scores with Group Variable using Linear Regression",
      "topics": [
        "lr_linear_model_discrete"
      ]
    },
    {
      "page": "lr_scores_eg",
      "title": "Example for lr_scores",
      "topics": [
        "lr_scores_eg"
      ]
    },
    {
      "page": "matrix_object",
      "title": "Example for matrix object",
      "topics": [
        "matrix_object"
      ]
    },
    {
      "page": "metadata_eg",
      "title": "Example for metadata",
      "topics": [
        "metadata_eg"
      ]
    },
    {
      "page": "one_step_all",
      "title": "Analyze Ligand-Receptor Pair Correlations and Projection Scores (Across All Cell Types)",
      "topics": [
        "one_step_all"
      ]
    },
    {
      "page": "one_step_single",
      "title": "Analyze Ligand-Receptor Pair Correlations and Projection Scores (Specified Sender and Receiver)",
      "topics": [
        "one_step_single"
      ]
    },
    {
      "page": "pca_sample",
      "title": "Generate PCA of Ligand-Receptor Interaction Scores",
      "topics": [
        "pca_sample"
      ]
    },
    {
      "page": "score_lr_all",
      "title": "Analyze Ligand-Receptor Projection Scores (Across All Cell Types)",
      "topics": [
        "score_lr_all"
      ]
    },
    {
      "page": "score_lr_single",
      "title": "Analyze Ligand-Receptor Projection Scores (Specified Sender and Receiver)",
      "topics": [
        "score_lr_single"
      ]
    }
  ],
  "_readme": "https://github.com/justicego/popcomm/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "askpass",
    "backports",
    "base64enc",
    "BH",
    "bitops",
    "boot",
    "broom",
    "bslib",
    "cachem",
    "car",
    "carData",
    "caTools",
    "cli",
    "cluster",
    "codetools",
    "colorspace",
    "commonmark",
    "corrplot",
    "cowplot",
    "cpp11",
    "crosstalk",
    "curl",
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