TY - JFULL AU - Mai S. Mabrouk and Nahed H. Solouma and Abou-Bakr M. Youssef and Yasser M. Kadah PY - 2007/11/ TI - Eukaryotic Gene Prediction by an Investigation of Nonlinear Dynamical Modeling Techniques on EIIP Coded Sequences T2 - International Journal of Bioengineering and Life Sciences SP - 544 EP - 550 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/9460 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 10, 2007 N2 - Many digital signal processing, techniques have been used to automatically distinguish protein coding regions (exons) from non-coding regions (introns) in DNA sequences. In this work, we have characterized these sequences according to their nonlinear dynamical features such as moment invariants, correlation dimension, and largest Lyapunov exponent estimates. We have applied our model to a number of real sequences encoded into a time series using EIIP sequence indicators. In order to discriminate between coding and non coding DNA regions, the phase space trajectory was first reconstructed for coding and non-coding regions. Nonlinear dynamical features are extracted from those regions and used to investigate a difference between them. Our results indicate that the nonlinear dynamical characteristics have yielded significant differences between coding (CR) and non-coding regions (NCR) in DNA sequences. Finally, the classifier is tested on real genes where coding and non-coding regions are well known. ER -