Classification of DNA Sequences Basing on the Dinucleotide Compositions

  • Authors:

  • Wei You;Kun Wang;Huixiao Li;Yang Jia;Xiaoqin Wu;Yaning Du

  • Affiliations:

  • -;-;-;-;-;-

  • Venue:
  • ISCID '09 Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design - Volume 02
  • Year:
  • 2009

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Abstract

DNA sequences of several bacteria were classified using artificial neural network model. The “dinucleotides compositions” method was used to characterize the DNA sequences which transform every DNA sequence to a 16-dimension vector. Back-propagation artificial neural network was developed and trained using “leave-one-out” method. Results showed that the accuracy of classification was 84.3%, which proved that the model was satisfactory in summary. However, the author stated that the applicability of the characterization strategy needs to be improved.