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

DOI: 10.1155/S111086570430925X

Received: 28 February 2003

Published: 21 January 2004

Abstract

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

DNA autoregressive modeling feature analysis

Authors’ Affiliations

(1)
Department of Electrical Engineering, Arizona State University
(2)
Harrington Department of Bioengineering, Arizona State University

Copyright

© Chakravarthy et al. 2004