Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
A Generalized Hidden Markov Model for the Recognition of Human Genes in DNA
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology
A digital signal processing method for gene prediction with improved noise suppression
EURASIP Journal on Applied Signal Processing
Segmentation of short human exons based on spectral features of double curves
International Journal of Data Mining and Bioinformatics
Identification of Protein Coding Regions Using the Modified Gabor-Wavelet Transform
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Computational identification of protein-coding sequences by comparative analysis
International Journal of Data Mining and Bioinformatics
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In this paper, the performance of various sliding window trigonometric fast transforms for identification of protein coding regions has been analysed at the nucleotide level. It is found that, Short-Time Discrete Fourier Transform (ST-DFT) gives better identification accuracy in comparison with Short-Time Discrete Cosine Transform (ST-DCT), Short-Time Discrete Sine Transform (ST-DST) and Short-Time Discrete Hartley Transform (ST-DHT). In the proposed method, identification accuracy of protein coding regions has been improved by applying Singular Value Decomposition (SVD) on the DNA spectrum obtained using sliding window trigonometric fast transforms. The results show that, in proposed method all trigonometric fast transforms gives almost similar results in terms of area under ROC curve for GENSCAN test set.