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  "Title": "Similarity Network Fusion",
  "Version": "2.3.1",
  "Date": "2021-06-10",
  "Author": "Bo Wang, Aziz Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu,\nMichael Brudno, Benjamin Haibe-Kains, Anna Goldenberg",
  "Maintainer": "Benjamin Brew <goldenberglab@gmail.com>",
  "Description": "Similarity Network Fusion takes multiple views of a\nnetwork and fuses them together to construct an overall status\nmatrix. The input to our algorithm can be feature vectors,\npairwise distances, or pairwise similarities. The learned\nstatus matrix can then be used for retrieval, clustering, and\nclassification.",
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  "Date/Publication": "2021-06-11 07:40:15 UTC",
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      "page": "affinityMatrix",
      "title": "Affinity matrix calculation",
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      "page": "calNMI",
      "title": "Mutual Information calculation",
      "topics": [
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      "page": "chiDist2",
      "title": "Pairwise Chi-squared distances",
      "topics": [
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    },
    {
      "page": "concordanceNetworkNMI",
      "title": "Concordance Network NMI calculation",
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      "title": "dataL",
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      "page": "displayClusters",
      "title": "Plot given similarity matrix by clusters",
      "topics": [
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    },
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      "page": "displayClustersWithHeatmap",
      "title": "Display the similarity matrix by clusters with some sample information",
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      "title": "Plot Alluvial",
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      "page": "rankFeaturesByNMI",
      "title": "Rank Features by NMI",
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