{
  "annotation_id": "921a3da6-b5f2-4e26-8a9e-02cdde85eca8",
  "date_created": "2026-03-02T18:01:35.850000Z",
  "date_modified": "2026-03-02T18:01:35.850000Z",
  "file_hash": "0ce49588ec47afa6db390ee93c8ed2434a9f858e50ecc8a36a138a0b83709d8e",
  "private": false,
  "record": {
    "abstract": "The increasing availability of high throughput data arising from gene\nexpression studies leads to the necessity of methods for summarizing the\navailable information. As annotation quality improves it is becoming common to\nrely on the Gene Ontology (GO) to build functional profiles that characterize a\nset of genes using the frequency of use of each GO term or group of terms in\nthe array. In this work we describe a statistical model for such profiles,\nprovide methods to compare profiles and develop inferential procedures to\nassess this comparison. An R-package implementing the methods is available.",
    "arxiv_id": "q-bio/0607026",
    "authors": [
      "Alex Sanchez-Pla",
      "Miquel Salicru",
      "Jordi Ocanya"
    ],
    "categories": [
      "q-bio.GN",
      "q-bio.QM"
    ],
    "title": "Distance based Inference for Gene-Ontology Analysis of Microarray   Experiments",
    "url": "https://arxiv.org/abs/q-bio/0607026"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f8185926-9171-4ed8-a4d0-982eae13c6fc",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}