Spectral estimation techniques for DNA sequence and microarray data analysis
Yan, Hong, and Pham, Tuan D. (2007) Spectral estimation techniques for DNA sequence and microarray data analysis. Current Bioinformatics, 2 (2). pp. 145-156.
|PDF - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
View at Publisher Website: http://dx.doi.org/10.2174/15748930778061...
Spectral estimation techniques are widely used in modern signal processing systems. Recently, they have found important applications to the analysis of DNA data. In this paper, we review parametric and non-parametric spectral estimation methods for DNA sequence and microarray data analysis. The discrete Fourier transform (DFT) is the most commonly used technique for spectral analysis of digital signals. It can reveal the gene locations in a DNA sequence. The DFT can also be used to detect repetitive elements in a DNA sequence. The DFT produces the so-called windowing or data truncation artifacts when it is applied to a short data segment. Parametric spectral estimation methods, such as the autoregressive (AR) model, overcome this problem and can be used to obtain a high-resolution spectrum of the input signal. In this paper, we demonstrate the advantages of the AR model for the identification of protein coding regions and the detection of DNA repeats. We also review DFT and AR models and other spectral estimation techniques for the analysis of microarray time series data.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||pattern classification; signal processing; bioinformatics signal processing; spectral estimation; the Fourier transform (FT); the autoregressive (AR) model; the maximum entropy method (MEM); DNA sequence analysis; gene prediction; detection of DNA repeats; microarray time series data analysis|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%|
09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090609 Signal Processing @ 50%
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%|
|Deposited On:||09 Jun 2009 11:05|
|Last Modified:||21 May 2013 00:24|
Last 12 Months: 0
|Citation Counts with External Providers:||Web of Science: 7|
Repository Staff Only: item control page