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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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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Nicola Lazzarini</dc:creator>
  <dc:creator>Jaume Bacardit</dc:creator>
  <dc:date>2016-12-06</dc:date>
  <dc:description>RGIFE is a feature reduction heuristic for the identification of small panels of highly predictive biomarkers. The heuristic is based on an iterative reduction paradigm: 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.</dc:description>
  <dc:identifier>https://zenodo.org/record/193015</dc:identifier>
  <dc:identifier>10.5281/zenodo.193015</dc:identifier>
  <dc:identifier>oai:zenodo.org:193015</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>biomarkers</dc:subject>
  <dc:subject>feature selection</dc:subject>
  <dc:subject>omics</dc:subject>
  <dc:subject>classification</dc:subject>
  <dc:subject>machine learning</dc:subject>
  <dc:title>RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
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