{
  "id": 614286,
  "title": "How to reproduce contest labels",
  "url": "/competitions/cafa-6-protein-function-prediction/discussion/614286",
  "author_name": "",
  "post_date": "2025-11-02T20:07:45.738537300Z",
  "votes": 8,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Since I have the sense that a few folks are looking into similar things, I've shared a simple utility to reproduce the contest labels given the raw data from the GOA project.  Hopefully it saves someone a bit of time!  The code and instructions to run it are available <a href=\"https://github.com/particlebbq/cafa6_labels_docker#\" target=\"_blank\">here</a>.  </p>",
  "messages": [
    {
      "id": "3310408",
      "postDate": "11/02/2025 20:07:45",
      "content": "<p>Since I have the sense that a few folks are looking into similar things, I've shared a simple utility to reproduce the contest labels given the raw data from the GOA project.  Hopefully it saves someone a bit of time!  The code and instructions to run it are available <a href=\"https://github.com/particlebbq/cafa6_labels_docker#\" target=\"_blank\">here</a>.  </p>",
      "rawMarkdown": "Since I have the sense that a few folks are looking into similar things, I've shared a simple utility to reproduce the contest labels given the raw data from the GOA project.  Hopefully it saves someone a bit of time!  The code and instructions to run it are available [here](https://github.com/particlebbq/cafa6_labels_docker#).",
      "votes": null
    },
    {
      "id": "3336430",
      "postDate": "11/18/2025 13:37:26",
      "content": "<p>Did you compare the result to the contest labels</p>",
      "rawMarkdown": "Did you compare the result to the contest labels",
      "votes": null
    },
    {
      "id": "3337162",
      "postDate": "11/18/2025 22:06:30",
      "content": "<p>Yes -- the code in the repository is basically a unit test that that does that comparison.</p>",
      "rawMarkdown": "Yes -- the code in the repository is basically a unit test that that does that comparison.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3336430,
      "author_name": "aizealotwu",
      "author_url": "",
      "post_date": "11/18/2025 13:37:26",
      "content": "<p>Did you compare the result to the contest labels</p>",
      "votes": null,
      "replies": [
        {
          "id": 3337162,
          "author_name": "particlebbq",
          "author_url": "",
          "post_date": "11/18/2025 22:06:30",
          "content": "<p>Yes -- the code in the repository is basically a unit test that that does that comparison.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3310408": "Since I have the sense that a few folks are looking into similar things, I've shared a simple utility to reproduce the contest labels given the raw data from the GOA project.  Hopefully it saves someone a bit of time!  The code and instructions to run it are available [here](https://github.com/particlebbq/cafa6_labels_docker#).",
    "3336430": "Did you compare the result to the contest labels",
    "3337162": "Yes -- the code in the repository is basically a unit test that that does that comparison."
  },
  "source": "meta"
}