{
  "annotation_id": "c5ad63e3-bd60-4b83-bf15-392b4308e2fc",
  "date_created": "2026-03-02T18:01:35.495000Z",
  "date_modified": "2026-03-02T18:01:35.495000Z",
  "file_hash": "5d2e2a2908c38a4b1755552d4dd1e9e09a35a22f9024883a3a3569de4106f3fd",
  "private": false,
  "record": {
    "abstract": "We advocate the use of qualitative models in the analysis of large biological\nsystems. We show how qualitative models are linked to theoretical differential\nmodels and practical graphical models of biological networks. A new technique\nfor analyzing qualitative models is introduced, which is based on an efficient\nrepresentation of qualitative systems. As shown through several applications,\nthis representation is a relevant tool for the understanding and testing of\nlarge and complex biological networks.",
    "arxiv_id": "q-bio/0604017",
    "authors": [
      "Philippe Veber",
      "Michel Le_Borgne",
      "Anne Siegel",
      "Sandrine Lagarrigue",
      "Ovidiu Radulescu"
    ],
    "categories": [
      "q-bio.MN"
    ],
    "title": "Complex Qualitative Models in Biology: a new approach",
    "url": "https://arxiv.org/abs/q-bio/0604017"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "85920029-161b-42d9-a94d-ab13e42533b7",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}