{
  "id": "doi-10-14283-jpad-2024-161",
  "type": "article-journal",
  "title": "Quantifying Personalized Shift-Work Molecular Portraits Underlying Alzheimer's Disease through Computational Biology",
  "author": [
    {
      "literal": "Y. Xu"
    },
    {
      "literal": "G. Zhang"
    },
    {
      "literal": "L. Yang"
    },
    {
      "literal": "H. Qin"
    },
    {
      "literal": "Z. Zhou"
    },
    {
      "literal": "Q. Li"
    },
    {
      "literal": "H. Liu"
    },
    {
      "literal": "R. Wang"
    },
    {
      "literal": "Z. Cai"
    },
    {
      "literal": "L. Jing"
    },
    {
      "literal": "Y. Li"
    },
    {
      "literal": "Y. Yao"
    },
    {
      "literal": "Z. Gong"
    },
    {
      "literal": "P. Yuan"
    },
    {
      "literal": "T. Fu"
    },
    {
      "literal": "X. Zhao"
    },
    {
      "literal": "Tao Peng"
    },
    {
      "literal": "Yanjie Jia"
    }
  ],
  "container-title": "The Journal of Prevention of Alzheimer's Disease",
  "issued": {
    "date-parts": [
      [
        2024
      ]
    ]
  },
  "DOI": "10.14283/jpad.2024.161",
  "URL": "https://doi.org/10.14283/jpad.2024.161"
}