Skip to main content

Advertisement

EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing Cover Image

Autoregressive Modeling and Feature Analysis of DNA Sequences

EURASIP Journal on Advances in Signal Processing volume 2004, Article number: 952689 (2004) Cite this article

Article metrics

  • 1227 Accesses

  • 51 Citations

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.

Author information

Affiliations

  1. Department of Electrical Engineering, Arizona State University, Tempe, AZ, 85287-5706, USA

    • Niranjan Chakravarthy
    • , A. Spanias
    •  & K. Tsakalis

  2. Harrington Department of Bioengineering, Arizona State University, Tempe, AZ, 85287-9709, USA

    • L. D. Iasemidis

Authors

  1. Search for Niranjan Chakravarthy in:

  2. Search for A. Spanias in:

  3. Search for L. D. Iasemidis in:

  4. Search for K. Tsakalis in:

Corresponding author

Correspondence to Niranjan Chakravarthy.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Chakravarthy, N., Spanias, A., Iasemidis, L.D. et al. Autoregressive Modeling and Feature Analysis of DNA Sequences. EURASIP J. Adv. Signal Process. 2004, 952689 (2004) doi:10.1155/S111086570430925X

Download citation

Keywords and phrases

  • DNA
  • autoregressive modeling
  • feature analysis