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  "_id": "6a129fbbacfb0bcc41d1050d",
  "Package": "ternarynet",
  "Version": "1.56.0",
  "Date": "2024-02-19",
  "Title": "Ternary Network Estimation",
  "Description": "Gene-regulatory network (GRN) modeling seeks to infer\ndependencies between genes and thereby provide insight into the\nregulatory relationships that exist within a cell. This package\nprovides a computational Bayesian approach to GRN estimation\nfrom perturbation experiments using a ternary network model, in\nwhich gene expression is discretized into one of 3 states: up,\nunchanged, or down). The ternarynet package includes a parallel\nimplementation of the replica exchange Monte Carlo algorithm\nfor fitting network models, using MPI.",
  "Author": "Matthew N. McCall <mccallm@gmail.com>, Anthony Almudevar\n<Anthony_Alumudevar@urmc.rochester.edu>, David Burton\n<David_Burton@urmc.rochester.edu>, Harry Stern\n<harry.stern@rochester.edu>",
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  "License": "GPL (>= 2)",
  "biocViews": "Software, CellBiology, GraphAndNetwork, Network, Bayesian",
  "git_url": "https://git.bioconductor.org/packages/ternarynet",
  "git_branch": "master",
  "git_last_commit": "6fb06d2",
  "git_last_commit_date": "2020-10-27",
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  "Packaged": {
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  "Maintainer": "McCall N. Matthew <mccallm@gmail.com>",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:36:17 UTC",
  "RemoteUrl": "https://github.com/bioc/ternarynet",
  "RemoteRef": "RELEASE_3_23",
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    "ternaryPost",
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      "title": "Summarize Attractors",
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      "page": "plotPost",
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      "page": "plotTraces",
      "title": "Network Fit Traces",
      "topics": [
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      ]
    },
    {
      "page": "predictAttractor",
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      "topics": [
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      ]
    },
    {
      "page": "simulateSteadyState",
      "title": "Simulate Steady State Data",
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