{
  "id": 438959,
  "title": "Question re: evaluation",
  "url": "/competitions/open-problems-single-cell-perturbations/discussion/438959",
  "author_name": "",
  "post_date": "2023-09-13T07:30:23.025573100Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>So the goal is to predict -log10(p) as calculated by limma. Will you share the code snippet that is used to call limma? I guess we could treat it as a black box, but would be nice to know the exact parameters.</p>\n<p>I find it a bit confusing that you want us to predict p instead of effect size or some combination thereof, but that's a different topic all together.</p>",
  "messages": [
    {
      "id": "2435819",
      "postDate": "09/13/2023 07:30:23",
      "content": "<p>So the goal is to predict -log10(p) as calculated by limma. Will you share the code snippet that is used to call limma? I guess we could treat it as a black box, but would be nice to know the exact parameters.</p>\n<p>I find it a bit confusing that you want us to predict p instead of effect size or some combination thereof, but that's a different topic all together.</p>",
      "rawMarkdown": "So the goal is to predict -log10(p) as calculated by limma. Will you share the code snippet that is used to call limma? I guess we could treat it as a black box, but would be nice to know the exact parameters.\n\nI find it a bit confusing that you want us to predict p instead of effect size or some combination thereof, but that's a different topic all together.",
      "votes": null
    },
    {
      "id": "2440941",
      "postDate": "09/15/2023 20:27:59",
      "content": "<p>Please see: <a href=\"https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/439017\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/439017</a></p>",
      "rawMarkdown": "Please see: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/439017",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2440941,
      "author_name": "danielburkhardt",
      "author_url": "",
      "post_date": "09/15/2023 20:27:59",
      "content": "<p>Please see: <a href=\"https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/439017\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/439017</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2435819": "So the goal is to predict -log10(p) as calculated by limma. Will you share the code snippet that is used to call limma? I guess we could treat it as a black box, but would be nice to know the exact parameters.\n\nI find it a bit confusing that you want us to predict p instead of effect size or some combination thereof, but that's a different topic all together.",
    "2440941": "Please see: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/439017"
  },
  "source": "meta"
}