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  "Package": "SlideCNA",
  "Title": "Calls Copy Number Alterations from Slide-Seq Data",
  "Version": "0.1.0",
  "Authors@R": "c(person(given = \"Diane\",\nfamily = \"Zhang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"dkzhang711@gmail.com\",\ncomment = c(ORCID = \"0000-0002-0268-4413\")),\nperson(given = \"Johanna\",\nfamily = \"Klughammer\",\nrole = c(\"aut\"),\nemail = \"klughammer@genzentrum.lmu.de\",\ncomment = c(ORCID = \"0000-0002-3628-9278\")),\nperson(given = \"Jan\",\nfamily = \"Watter\",\nrole = c(\"aut\"),\nemail = \"jan.watter@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7519-731X\")),\nperson(\"Broad Institute of MIT and Harvard\", role = c(\"cph\", \"fnd\")))",
  "Description": "This takes spatial single-cell-type RNA-seq data\n(specifically designed for Slide-seq v2) that calls copy number\nalterations (CNAs) using pseudo-spatial binning, clusters\ncellular units (e.g. beads) based on CNA profile, and\nvisualizes spatial CNA patterns. Documentation about 'SlideCNA'\nis included in the the pre-print by Zhang et al. (2022,\n<doi:10.1101/2022.11.25.517982>). The package 'enrichR' (>=\n3.0), conditionally used to annotate SlideCNA-determined\nclusters with gene ontology terms, can be installed at\n<https://github.com/wjawaid/enrichR> or with\ninstall_github(\"wjawaid/enrichR\").",
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  "Packaged": {
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  "Author": "Diane Zhang [aut, cre]\n(<https://orcid.org/0000-0002-0268-4413>), Johanna Klughammer\n[aut] (<https://orcid.org/0000-0002-3628-9278>), Jan Watter\n[aut] (<https://orcid.org/0000-0001-7519-731X>), Broad\nInstitute of MIT and Harvard [cph, fnd]",
  "Maintainer": "Diane Zhang <dkzhang711@gmail.com>",
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  "Repository": "https://cranhaven.r-universe.dev",
  "Date/Publication": "2026-11-11 03:03:00 UTC",
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  "_expires": "2027-02-19T22:29:04.000Z",
  "_created": "2026-11-11T22:16:42.000Z",
  "_published": "2026-11-11T22:29:06.251Z",
  "_upstream": "https://github.com/cranhaven/cranhaven.r-universe.dev",
  "_status": "success",
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    "email": "dkzhang711@gmail.com",
    "login": "dzhang777",
    "description": "",
    "uuid": 56312693,
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}