Display Settings:


Send to:

Choose Destination
See comment in PubMed Commons below
Neural Netw. 2003 Jun-Jul;16(5-6):641-8.

An accelerated procedure for recursive feature ranking on microarray data.

Author information

  • 1ITC-irst, v. Sommarive 18, Povo, I-38050 Trento, Italy. furlan@itc.it


We describe a new wrapper algorithm for fast feature ranking in classification problems. The Entropy-based Recursive Feature Elimination (E-RFE) method eliminates chunks of uninteresting features according to the entropy of the weights distribution of a SVM classifier. With specific regard to DNA microarray datasets, the method is designed to support computationally intensive model selection in classification problems in which the number of features is much larger than the number of samples. We test E-RFE on synthetic and real data sets, comparing it with other SVM-based methods. The speed-up obtained with E-RFE supports predictive modeling on high dimensional microarray data.

[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk