{
  "10.1093/bioinformatics/btaa619": {
    "author": [
      {
        "given": ["M", "E"],
        "family": "Guerrero-Gimenez",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["J", "M"],
        "family": "Fernandez-Munoz",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["B", "J"],
        "family": "Lang",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["K", "M"],
        "family": "Holton",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["D", "R"],
        "family": "Ciocca",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["C", "A"],
        "family": "Catania",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["F", "C", "M"],
        "family": "Zoppino",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "title": "Galgo: A bi-objective evolutionary meta-heuristic identifies robust transcriptomic classifiers associated with patient outcome across multiple cancer types",
    "journal": "Bioinformatics",
    "year": "2020",
    "month": "07",
    "issn": "1367-4803",
    "doi": "10.1093/bioinformatics/btaa619",
    "url": "https://doi.org/10.1093/bioinformatics/btaa619",
    "note": "btaa619",
    "eprint": "https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa619/33472708/btaa619.pdf"
  }
}