{
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  "Package": "dendsort",
  "Title": "Modular Leaf Ordering Methods for Dendrogram Nodes",
  "Version": "0.3.4",
  "Authors@R": "c(person(\"Ryo\", \"Sakai\", email=\"ryo@vda-lab.be\", role=\"aut\"), person(\"Evan\", \"Biederstedt\", email=\"evan.biederstedt@gmail.com\", role=c(\"cre\", \"aut\")))",
  "Description": "An implementation of functions to optimize ordering of\nnodes in a dendrogram, without affecting the meaning of the\ndendrogram. A dendrogram can be sorted based on the average\ndistance of subtrees, or based on the smallest distance value.\nThese sorting methods improve readability and interpretability\nof tree structure, especially for tasks such as comparison of\ndifferent distance measures or linkage types and identification\nof tight clusters and outliers. As a result, it also introduces\nmore meaningful reordering for a coupled heatmap visualization.\nThis method is described in \"dendsort: modular leaf ordering\nmethods for dendrogram representations in R\", F1000Research\n2014, 3: 177 <doi:10.12688/f1000research.4784.1>.",
  "License": "GPL-2 | GPL-3",
  "Encoding": "UTF-8",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/evanbiederstedt/dendsort",
  "BugReports": "https://github.com/evanbiederstedt/dendsort/issues",
  "RoxygenNote": "7.1.1",
  "NeedsCompilation": "no",
  "Maintainer": "Evan Biederstedt <evan.biederstedt@gmail.com>",
  "Repository": "https://evanbiederstedt.r-universe.dev",
  "Date/Publication": "2021-05-31 17:50:10 UTC",
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    "User": "root"
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  "Author": "Ryo Sakai [aut],\nEvan Biederstedt [cre, aut]",
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  "_created": "2026-07-04T19:40:42.000Z",
  "_published": "2026-07-04T19:43:50.620Z",
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        "age_at_initial_pathologic_diagnosis",
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        "MutSig2_rateTot_perMb",
        "MutSig_rateDbSnp_perMb",
        "Nonsilent.Mutation.Rate",
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        "absolute_extract_ploidy",
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        "CDH1.code_potential_somatic",
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        "Ukraine",
        "UNITED_STATES__country",
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      "title": "Modular Leaf Ordering Methods for Dendrogram Nodes",
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