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RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers

Nicola Lazzarini; Jaume Bacardit


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.193015", 
  "title": "RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers", 
  "issued": {
    "date-parts": [
      [
        2016, 
        12, 
        6
      ]
    ]
  }, 
  "abstract": "<p>RGIFE is a feature reduction heuristic for the identification of small panels of highly predictive biomarkers. The heuristic is based on an <strong>iterative reduction paradigm</strong>: first train a classifier, then rank the attributes based on their importance and finally remove attributes in block. RGIFE is designed to work with large-scale datasets and identifies reduced set of attributes with high classification power.</p>", 
  "author": [
    {
      "family": "Nicola Lazzarini"
    }, 
    {
      "family": "Jaume Bacardit"
    }
  ], 
  "type": "article", 
  "id": "193015"
}
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