Please use this identifier to cite or link to this item:
Title: Using signal processing techniques in promoter prediction
Keywords: Promoter, Transcription Start Site, Digital Signal Processing, Discrete Fourier Transform, Discrete Cosine Transform, Discrete Wavelet Transform
Issue Date: 25-May-2006
Source: ZHANG XUEJUAN (2006-05-25). Using signal processing techniques in promoter prediction. ScholarBank@NUS Repository.
Abstract: Promoters study is related to many problems in Bioinformatics, such as gene discovery, gene annotation, regulatory elements identification and transcriptional control. Promoter prediction is an important problem and Digital Signal Processing (DSP) techniques have not been largely used in this field. In this study a new promoter prediction system based on the domain transforms of Discrete Fourier Transform, Discrete Cosine Transform, and Discrete Wavelet Transform is proposed. The system is derived based on findings from systematic simulation studies and experiments. The prediction system is applied to human chromosome 22 (NCBI Built 35). Performance evaluation and comparison is made with the results for the six different categories of genes. I conclude that the application of these three domain transforms combined with proper biological features of promoters and non-promoters is promising in predicting prompters. It is suggested that more of other appropriate biological features, and other DSP techniques might be combined to enhance the performance.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
XuejuanZhang.PDF2.21 MBAdobe PDF



Page view(s)

checked on Dec 11, 2017


checked on Dec 11, 2017

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.