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

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.