[
  {
    "title": "PolySTest: Robust Statistical Testing of Proteomics Data with Missing Values Improves Detection of Biologically Relevant Features",
    "author": [
      {
        "given": "Veit",
        "family": "Schwammle",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["Christian", "E."],
        "family": "Hagensen",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Adelina",
        "family": "Rogowska-Wrzesinska",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["Ole", "N."],
        "family": "Jensen",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Molecular & Cellular Proteomics",
    "volume": "19",
    "number": "8",
    "pages": "1396-1408",
    "year": "2020",
    "doi": "10.1074/mcp.RA119.001777"
  }
]