Open AccessA Novel Approach For Identification Of Exon Locations In DNA Sequences Using GLC Window
Author(s) -
Parmila Kumari,
J. Beatrice Seventline
Publication year - 2021
Publication title -
international journal of biology and biomedical engineering
Language(s) - English
Resource type - Journals
ISSN - 1998-4510
DOI - 10.46300/91011.2021.15.7
Subject(s) - window function , short time fourier transform , algorithm , computer science , fast fourier transform , benchmark (surveying) , filter (signal processing) , fourier transform , pattern recognition (psychology) , mathematics , artificial intelligence , computer vision , fourier analysis , mathematical analysis , geodesy , geography
The application of signal processing techniques for identification of exons in Deoxyribonucleic acid (DNA) sequence is a challenging task. The objective of this paper is to introduce a combinational window approach for locating exons in DNA sequence. In contrast to the traditional single window function for evaluation of short time Fourier transform (STFT), this work proposes a novel method for evaluating STFT coefficients using a combinational window function comprising of Gaussian, Lanczos and Chebyshev (GLC) windows. The chosen combinational window GLC has the highest relative side lobe attenuation values compared to other window functions introduced by various researchers. The proposed algorithm incorporates GLC window function for evaluating STFT coefficients and in the design of FIR bandpass filter. Simulation results revealed its effectiveness in improving the evaluation parameters like Sensitivity, Specificity, Accuracy, Area under curve (AUC), Discrimination Measure (DM). Furthermore, the proposed algorithm has been applied successfully to some universal benchmark datasets like C. elegans, Homosapiens, etc., The proposed method has shown to be an efficient approach for the prediction of protein coding regions compared to other existing methods. All the simulations are done using the MATLAB 2016a.