E-Coli promoter recognition using neural networks with feature selection

  • Authors:
  • Paul C. Conilione;Dianhui Wang

  • Affiliations:
  • Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, Australia;Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, Australia

  • Venue:
  • ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
  • Year:
  • 2005

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Abstract

This paper investigates the effects on neural classification performance of biological data by features selection. Where the Relief-F and Symmetrical Tau feature selection algorithms were employed on a set of high level features of DNA and structural profiles. It was observed that even with a small percentage of the features used in neural classifiers, the recognition rate of E.coli promoters was not degraded significantly.