software . 2016

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

Nicola Lazzarini; Jaume Bacardit;
Open Source
  • Published: 06 Dec 2016
  • Publisher: Figshare
<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>
free text keywords: Uncategorized, zenodo, biomarkers, feature selection, omics, classification, machine learning
Download fromView all 3 versions
Software . 2016
Provider: Datacite
Software . 2016
Provider: Zenodo
Software . 2016
Provider: figshare
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue