{
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  "Package": "heatmaply",
  "Type": "Package",
  "Title": "Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'",
  "Version": "1.6.0",
  "Date": "2025-07-12",
  "Authors@R": "c(\nperson(\"Tal\", \"Galili\", role = c(\"aut\", \"cre\", \"cph\"), email = \"tal.galili@gmail.com\", comment = \"https://www.r-statistics.com\"),\nperson(\"Alan\", \"O'Callaghan\", comment = \"https://github.com/Alanocallaghan\",role = \"aut\"),\nperson(\"Jonathan\", \"Sidi\", email = \"yonis@metrumrg.com\", comment = \"https://github.com/yonicd\",role = \"ctb\"),\nperson(\"Jaehyun\", \"Joo\", comment = \"https://github.com/jaehyunjoo\",role = \"ctb\"),\nperson(\"Yoav\", \"Benjamini\", email = \"ybenja@tau.ac.il\",role = \"ths\"),\nperson(\"Mathew\", \"Simenc\", role = \"ctb\", comment = \"https://gitlab.com/mcsimenc, https://github.com/mcsimenc\"))",
  "Description": "Create interactive cluster 'heatmaps' that can be saved as\na stand- alone HTML file, embedded in 'R Markdown' documents or\nin a 'Shiny' app, and available in the 'RStudio' viewer pane.\nHover the mouse pointer over a cell to show details or drag a\nrectangle to zoom. A 'heatmap' is a popular graphical method\nfor visualizing high-dimensional data, in which a table of\nnumbers are encoded as a grid of colored cells. The rows and\ncolumns of the matrix are ordered to highlight patterns and are\noften accompanied by 'dendrograms'. 'Heatmaps' are used in many\nfields for visualizing observations, correlations, missing\nvalues patterns, and more. Interactive 'heatmaps' allow the\ninspection of specific value by hovering the mouse over a cell,\nas well as zooming into a region of the 'heatmap' by dragging a\nrectangle around the relevant area. This work is based on the\n'ggplot2' and 'plotly.js' engine. It produces similar\n'heatmaps' to 'heatmap.2' with the advantage of speed\n('plotly.js' is able to handle larger size matrix), the ability\nto zoom from the 'dendrogram' panes, and the placing of factor\nvariables in the sides of the 'heatmap'.",
  "VignetteBuilder": "knitr",
  "License": "GPL-2 | GPL-3",
  "URL": "https://talgalili.github.io/heatmaply/,\nhttps://cran.r-project.org/package=heatmaply,\nhttps://github.com/talgalili/heatmaply/,\nhttps://www.r-statistics.com/tag/heatmaply/",
  "BugReports": "https://github.com/talgalili/heatmaply/issues",
  "RoxygenNote": "7.3.2",
  "Encoding": "UTF-8",
  "Config/pak/sysreqs": "cmake make libmagick++-dev gsfonts libicu-dev\nlibuv1-dev libssl-dev",
  "Repository": "https://talgalili.r-universe.dev",
  "Date/Publication": "2025-07-12 19:19:30 UTC",
  "RemoteUrl": "https://github.com/talgalili/heatmaply",
  "RemoteRef": "HEAD",
  "RemoteSha": "c6f659cfa359579a9462cb32b7ede4ca14933c4b",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-05 09:42:27 UTC",
    "User": "root"
  },
  "Author": "Tal Galili [aut, cre, cph] (https://www.r-statistics.com),\nAlan O'Callaghan [aut] (https://github.com/Alanocallaghan),\nJonathan Sidi [ctb] (https://github.com/yonicd),\nJaehyun Joo [ctb] (https://github.com/jaehyunjoo),\nYoav Benjamini [ths],\nMathew Simenc [ctb] (https://gitlab.com/mcsimenc,\nhttps://github.com/mcsimenc)",
  "Maintainer": "Tal Galili <tal.galili@gmail.com>",
  "_user": "talgalili",
  "_type": "src",
  "_file": "heatmaply_1.6.0.tar.gz",
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  "_sha256": "f951e80c8c734f1be67e8c88b2404dd0f387264195961534dd8f0007927e5c93",
  "_expires": "2027-01-13T09:48:50.000Z",
  "_created": "2026-10-05T09:42:27.000Z",
  "_published": "2026-10-05T09:48:52.204Z",
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  "_selfowned": true,
  "_usedby": 47,
  "_updates": [],
  "_tags": [],
  "_topics": [
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    "dendextend",
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    "extra/manual.pdf",
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    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
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  "_realowner": "talgalili",
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      "date": "2019-12-05"
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  "_exports": [
    "Blues",
    "BrBG",
    "BuGn",
    "BuPu",
    "cool_warm",
    "ggheatmap",
    "GnBu",
    "Greens",
    "Greys",
    "heatmaply",
    "heatmaply_cor",
    "heatmaply_na",
    "heatmapr",
    "is.heatmapr",
    "is.na10",
    "is.plotly",
    "normalize",
    "Oranges",
    "OrRd",
    "percentize",
    "PiYG",
    "PRGn",
    "PuBu",
    "PuBuGn",
    "PuOr",
    "PuRd",
    "Purples",
    "RdBu",
    "RdGy",
    "RdPu",
    "RdYlBu",
    "RdYlGn",
    "Reds",
    "Spectral",
    "YlGn",
    "YlGnBu",
    "YlOrBr",
    "YlOrRd"
  ],
  "_help": [
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      "page": "ggheatmap",
      "title": "ggplot heatmap equivalent to heatmaply",
      "topics": [
        "ggheatmap"
      ]
    },
    {
      "page": "ggplot_side_color_plot",
      "title": "Side color plots for heatmaps",
      "topics": [
        "ggplot_side_color_plot"
      ]
    },
    {
      "page": "heatmaply",
      "title": "Cluster heatmap based on plotly",
      "topics": [
        "heatmaply",
        "heatmaply.default",
        "heatmaply.heatmapr",
        "heatmaply_cor",
        "heatmaply_na"
      ]
    },
    {
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      "title": "Creates a heatmapr object",
      "topics": [
        "heatmapr"
      ]
    },
    {
      "page": "is.heatmapr",
      "title": "Is the object of class heatmapr",
      "topics": [
        "is.heatmapr"
      ]
    },
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      "title": "Indicates which elements are missing (either 1 and 0)",
      "topics": [
        "is.na10"
      ]
    },
    {
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      "title": "Checks if an object is of class plotly or not.",
      "topics": [
        "is.plotly"
      ]
    },
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      "title": "Normalization transformation (0-1)",
      "topics": [
        "normalize",
        "normalize.data.frame",
        "normalize.default",
        "normalize.matrix"
      ]
    },
    {
      "page": "percentize",
      "title": "Empirical Percentile Transformation",
      "topics": [
        "percentize",
        "percentize.data.frame",
        "percentize.default",
        "percentize.matrix"
      ]
    },
    {
      "page": "RColorBrewer_colors",
      "title": "RColorBrewer color Ramp Palette",
      "topics": [
        "Blues",
        "BrBG",
        "BuGn",
        "BuPu",
        "cool_warm",
        "GnBu",
        "Greens",
        "Greys",
        "Oranges",
        "OrRd",
        "PiYG",
        "PRGn",
        "PuBu",
        "PuBuGn",
        "PuOr",
        "PuRd",
        "Purples",
        "RColorBrewer_colors",
        "RdBu",
        "RdGy",
        "RdPu",
        "RdYlBu",
        "RdYlGn",
        "Reds",
        "Spectral",
        "YlGn",
        "YlGnBu",
        "YlOrBr",
        "YlOrRd"
      ]
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    {
      "source": "heatmaply.Rmd",
      "filename": "heatmaply.html",
      "title": "Introduction to heatmaply",
      "author": "Tal Galili and Alan O'Callaghan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Basic usage",
        "Default",
        "Correlation heatmaps",
        "Data transformation (scaling, normalize, and percentize)",
        "scale",
        "normalize",
        "percentize",
        "is.na10 (missing values)",
        "Changing color palettes",
        "Customized dendrograms and annotation",
        "Various seriation options",
        "Customized dendrograms using dendextend",
        "Replicating the dendrogram ordering of heatmap.2",
        "Adding annotation based on additional factors using RowSideColors",
        "Text annotations",
        "Hover text",
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        "Sidenotes",
        "Credit",
        "Contact",
        "Latest news",
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      "created": "2016-05-25 09:57:43",
      "modified": "2022-10-08 10:16:34",
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