{
  "annotation_id": "29b63e67-7c65-44ce-80b4-206ea731441b",
  "date_created": "2026-03-02T18:01:32.168000Z",
  "date_modified": "2026-03-02T18:01:32.168000Z",
  "file_hash": "74e96f46e0c76252d5944c4c88e13f595842b7e35aa5f08641d2cae9fcd21d5c",
  "private": false,
  "record": {
    "abstract": "Based upon the correlation matrix of the human promoter sequences, a complex\nnetwork is constructed to capture the principal relationships between these\npromoters. It is a complex network has the properties of the right-skewed\ndegree distribution and the clustering simultaneously, i.e., a hierarchical\nstructure. An eigenvector centrality (EC) based method is used to reconstruct\nthis hierarchical structure.",
    "arxiv_id": "q-bio/0508018",
    "authors": [
      "Huijie Yang",
      "Fangcui Zhao",
      "Binghong Wang"
    ],
    "categories": [
      "q-bio.GN",
      "cond-mat.stat-mech",
      "q-bio.MN"
    ],
    "title": "Complex Network Approach to Human Promoter Sequences",
    "url": "https://arxiv.org/abs/q-bio/0508018"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "651782f7-2df3-4118-8bc9-738533a5f9b0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}