Application of an automatic fuzzy logic based pattern recognition method for DNA microarray reader

  • Authors:

  • Wei Wei;Xiaodong Wang;Werner Neddermeyer;Wolfgang Winkler;Michael Schnell

  • Affiliations:

  • University of Applied Science in Gelsenkirchen, Gelsenkirchen, Germany;University of Applied Science in Gelsenkirchen, Gelsenkirchen, Germany;University of Applied Science in Gelsenkirchen, Gelsenkirchen, Germany;University of Applied Science in Gelsenkirchen, Gelsenkirchen, Germany;University of Applied Science in Gelsenkirchen, Gelsenkirchen, Germany

  • Venue:
  • ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

The past decade has brought about tremendous advances in genetics and molecular biology. Nowadays DNA technology is widely applied in laboratories in order to diagnose accurately and effectively genetic illnesses of patients. The Solas2 is a DNA microarray reader, which is specifically designed for medical laboratory. It bases on the image processing and pattern detection technology to analyze DNA microarrays, extract the feature of genome, and visualize the early-stage diseases. With the help of the DNA microarray reader users can more easily detect and treat those diseases, which could occur in the future. Basing on the fuzzy logic algorithms, a special method was developed for the classification of the extracted DNA features. Because of the irregular distribution of pattern space with classic fuzzy algorithms, the result of pattern detection would not be satisfying. This article will introduce a method which is derived and improved from classic fuzzy logic methods FCM and FML. With this method the recognition of DNA features can be proceeded correctly and effectively.