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  "Date": "2026-01-23",
  "Title": "Single Cell Connectomics",
  "Authors@R": "c(\nperson(\"Zaoqu\", \"Liu\", email = \"liuzaoqu@163.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0452-742X\")),\nperson(\"Micha Sam\", \"Brickman Raredon\", email = \"michasam.raredon@yale.edu\",\nrole = c(\"aut\"), comment = \"Original author\"))",
  "Description": "A toolkit for exploring cell-cell connectivity patterns\nbased on ligand and receptor expression in heterogeneous\nsingle-cell datasets. Implements methods for constructing,\nfiltering, and visualizing connectomic networks from\nsingle-cell RNA sequencing data. Supports multiple species via\nthe FANTOM5 ligand-receptor database. Methods described in\nRaredon et al (2022) <doi:10.1038/s41598-022-07959-x>.",
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  "Repository": "https://zaoqu-liu.r-universe.dev",
  "Date/Publication": "2026-01-23 12:40:15 UTC",
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  "Author": "Zaoqu Liu [aut, cre] (ORCID: <https://orcid.org/0000-0002-0452-742X>),\nMicha Sam Brickman Raredon [aut] (Original author)",
  "Maintainer": "Zaoqu Liu <liuzaoqu@163.com>",
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        "Theoretical Foundation",
        "1. Ligand-Receptor Database",
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