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Identification of protein-coding regions in eukaryotes using Fourier Transforms and Singular Value Decomposition using multiple length sliding windows

Identification of protein-coding regions in eukaryotes using Fourier Transforms and Singular... Digital signal processing techniques have already proven to be powerful tools for the identification of protein-coding regions. Proper selection of sliding window length is an important factor in improving the identification accuracy in Short-Time Discrete Fourier Transform (ST-DFT) method. A novel weighted mean multi-window (with different sliding window lengths) ST-DFT with Singular Value Decomposition (ST-DFT-SVD) method for the identification of protein-coding regions is proposed in this paper. The proposed method has two modes of operation: training mode and testing mode. The performance of the proposed method is evaluated in comparison with other existing methods such as ST-DFT, anti-notch filter and multi-stage filter. The results show that the proposed method provides superior performance in terms of identification accuracy. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Signal and Imaging Systems Engineering Inderscience Publishers

Identification of protein-coding regions in eukaryotes using Fourier Transforms and Singular Value Decomposition using multiple length sliding windows

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1748-0698
eISSN
1748-0701
DOI
10.1504/IJSISE.2011.041604
Publisher site
See Article on Publisher Site

Abstract

Digital signal processing techniques have already proven to be powerful tools for the identification of protein-coding regions. Proper selection of sliding window length is an important factor in improving the identification accuracy in Short-Time Discrete Fourier Transform (ST-DFT) method. A novel weighted mean multi-window (with different sliding window lengths) ST-DFT with Singular Value Decomposition (ST-DFT-SVD) method for the identification of protein-coding regions is proposed in this paper. The proposed method has two modes of operation: training mode and testing mode. The performance of the proposed method is evaluated in comparison with other existing methods such as ST-DFT, anti-notch filter and multi-stage filter. The results show that the proposed method provides superior performance in terms of identification accuracy.

Journal

International Journal of Signal and Imaging Systems EngineeringInderscience Publishers

Published: Jan 1, 2011

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