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Open Access

Autoregressive Modeling and Feature Analysis of DNA Sequences

  • Niranjan Chakravarthy1Email author,
  • A. Spanias1,
  • L. D. Iasemidis2 and
  • K. Tsakalis1
EURASIP Journal on Advances in Signal Processing20042004:952689

Received: 28 February 2003

Published: 21 January 2004


A parametric signal processing approach for DNA sequence analysis based on autoregressive (AR) modeling is presented. AR model residual errors and AR model parameters are used as features. The AR residual error analysis indicate a high specificity of coding DNA sequences, while AR feature-based analysis helps distinguish between coding and noncoding DNA sequences. An AR model-based string searching algorithm is also proposed. The effect of several types of numerical mapping rules in th proposed method is demonstrated.

Keywords and phrases

DNAautoregressive modelingfeature analysis

Authors’ Affiliations

Department of Electrical Engineering, Arizona State University, Tempe, USA
Harrington Department of Bioengineering, Arizona State University, Tempe, USA


© Chakravarthy et al. 2004