Title
Signal processing techniques in genomic engineering
Abstract
Now that the human genome has been sequenced, the measurement, processing, and analysis of specific genomic information in real time are gaining considerable interest because of their importance to better the understanding of the inherent genomic function, the early diagnosis of disease, and the discovery of new drugs. Traditional methods to process and analyze deoxyribonucleic acid (DNA) or ribonucleic acid data, based on the statistical or Fourier theories, are not robust enough and are time-consuming, and thus not well suited for future routine and rapid medical applications, particularly for emergency cases. In this paper, we present an overview of some recent applications of signal processing techniques for DNA structure prediction, detection, feature extraction, and classification of differentially expressed genes. Our emphasis is placed on the application of wavelet transform in DNA sequence analysis and on cellular neural networks in microarray image analysis, which can have a potentially large effect on the real-time realization of DNA analysis. Finally, some interesting areas for possible future research are summarized, which include a biomodel-based signal processing technique for genomic feature extraction and hybrid multidimensional approaches to process the dynamic genomic information in real time.
Year
DOI
Venue
2002
10.1109/JPROC.2002.805308
Proceedings of the IEEE
Keywords
DocType
Volume
multidimensional analysis,deoxyribonucleic acid microarray,bionic wavelet transform (bwt),cellular neural network (cnn),fourier theory,image processing,deoxyribonucleic acid (dna) microarray,wavelet transforms,microarray image analysis,bionic wavelet transform,statistical theory,genetics,hybrid multidimensional approaches,emergency cases,medical signal processing,cellular neural network,dynamic genomic information,feature extraction,biomodel-based method,reviews,cellular neural nets,real time information processing,dna,genes classification,patient diagnosis,wavelet transform (wt),ribonucleic acid,dna sequence analysis,deoxyribonucleic acid,signal processing,real time,dna analysis,multidimensional signal processing,bioinformatics,genomics,dna structure,human genome,wavelet transform,image analysis
Journal
90
Issue
ISSN
Citations 
12
0018-9219
27
PageRank 
References 
Authors
1.91
13
8
Name
Order
Citations
PageRank
Xin-Yun Zhang1272.25
Fei Chen2323.82
Yuan-Ting Zhang316027.01
S. C. Agner4271.91
Metin Akay528850.47
Z. Lu613313.51
M. M. Y. Waye7272.25
S. K.-W. Tsui8271.91