{
  "_id": "6ad3324862c1581dfb2fabf4",
  "Package": "scBSP",
  "Version": "1.1.0",
  "Date": "2025-09-01",
  "Title": "A Fast Tool for Single-Cell Spatially Variable Genes\nIdentifications on Large-Scale Data",
  "Authors@R": "c(\nperson(\"Jinpu\", \"Li\", email = \"castle.lee.f@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6656-2896\")),\nperson(\"Yiqing\", \"Wang\", email = \"yiqing@wangemail.com\", role = \"aut\")\n)",
  "Description": "Identifying spatially variable genes is critical in\nlinking molecular cell functions with tissue phenotypes. This\npackage utilizes a granularity-based dimension-agnostic tool,\nsingle-cell big-small patch (scBSP), implementing sparse matrix\noperation and KD tree methods for distance calculation, for the\nidentification of spatially variable genes on large-scale data.\nThe detailed description of this method is available at Wang,\nJ. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023),\n<doi:10.1038/s41467-023-43256-5>).",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "Repository": "https://castleli.r-universe.dev",
  "Date/Publication": "2025-09-02 02:49:18 UTC",
  "RemoteUrl": "https://github.com/castleli/scbsp",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-17 08:26:13 UTC",
    "User": "root"
  },
  "Author": "Jinpu Li [aut, cre] (ORCID: <https://orcid.org/0000-0002-6656-2896>),\nYiqing Wang [aut]",
  "Maintainer": "Jinpu Li <castle.lee.f@gmail.com>",
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  "_expires": "2027-01-25T08:31:01.000Z",
  "_created": "2026-10-17T08:26:13.000Z",
  "_published": "2026-10-17T08:31:04.852Z",
  "_buildurl": "https://github.com/r-universe/castleli/actions/runs/39017187260",
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  "_realowner": "castleli",
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    "LoadSpatial",
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      "page": "CombinePvalues",
      "title": "Combine p-values across multiple samples from scBSP",
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        "scBSP"
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  "_nocasepkg": "scbsp",
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