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  "Package": "diffeRenTES",
  "Title": "Computation of TES-Based Cell Differentiation Trees",
  "Version": "0.3.2",
  "Date": "2022-04-26",
  "Author": "Michele Braccini <braccini.michele@gmail.com>",
  "Maintainer": "Michele Braccini <braccini.michele@gmail.com>",
  "Description": "Computes the ATM (Attractor Transition Matrix) structure\nand the tree-like structure describing the cell differentiation\nprocess (based on the Threshold Ergodic Set concept introduced\nby Serra and Villani), starting from the Boolean networks with\nsynchronous updating scheme of the 'BoolNet' R package. TESs\n(Threshold Ergodic Sets) are the mathematical abstractions that\nrepresent the different cell types arising during ontogenesis.\nTESs and the powerful model of biological differentiation based\non Boolean networks to which it belongs have been firstly\ndescribed in \"A Dynamical Model of Genetic Networks for Cell\nDifferentiation\" Villani M, Barbieri A, Serra R (2011) A\nDynamical Model of Genetic Networks for Cell Differentiation.\nPLOS ONE 6(3): e17703.",
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  "Date/Publication": "2022-04-28 06:20:04 UTC",
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    "getTESs",
    "saveDifferentiationTreeToFile"
  ],
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    {
      "page": "getATM",
      "title": "Compute ATM",
      "topics": [
        "getATM"
      ]
    },
    {
      "page": "getTESs",
      "title": "Compute TES",
      "topics": [
        "getTESs"
      ]
    },
    {
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      "title": "Save the graphic representation of the differentiation tree.",
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      "headings": [
        "What is diffeRenTES?",
        "How can you install it?",
        "How can it be used?",
        "References"
      ],
      "created": "2022-04-28 06:20:04",
      "modified": "2022-04-28 06:20:04",
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