{
  "id": "doi-10-1186-s12915-025-02400-x",
  "type": "article-journal",
  "title": "Machine learning combined with omics-based approaches reveals T-lymphocyte cellular fate imbalance in abdominal aortic aneurysm",
  "author": [
    {
      "literal": "Demin Li"
    },
    {
      "literal": "Ge Zhang"
    },
    {
      "literal": "Pengchong Du"
    },
    {
      "literal": "Chang Cao"
    },
    {
      "literal": "Xuyu He"
    },
    {
      "literal": "Yan Lv"
    },
    {
      "literal": "Peiyu Yuan"
    },
    {
      "literal": "Yujia Wang"
    },
    {
      "literal": "Ruhao Wu"
    },
    {
      "literal": "Yifan Cao"
    },
    {
      "literal": "Yu Yang"
    },
    {
      "literal": "Jiamin Gao"
    },
    {
      "literal": "Bo Lan"
    },
    {
      "literal": "Guo-Ping Shi"
    },
    {
      "literal": "Xiaolin Cui"
    },
    {
      "literal": "Jinying Zhang"
    },
    {
      "literal": "Junnan Tang"
    }
  ],
  "container-title": "BMC Biology",
  "issued": {
    "date-parts": [
      [
        2025,
        9,
        26
      ]
    ]
  },
  "DOI": "10.1186/s12915-025-02400-x",
  "URL": "https://doi.org/10.1186/s12915-025-02400-x",
  "volume": "23",
  "issue": "1",
  "publisher": "BioMed Central",
  "number": "280",
  "ISSN": "1741-7007"
}