Pattern Recognition Techniques for the Emerging Field of Bioinformatics: A Review

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Title Pattern Recognition Techniques for the Emerging Field of Bioinformatics: A Review
Author Liew, Alan Wee-Chung; Yan, Hong; Yang, Mengsu
Journal Name Pattern Recognition
Year Published 2005
Place of publication United Kingdom
Publisher Pergamon
Abstract The emerging field of bioinformatics has recently created much interest in the computer science and engineering communities. With the wealth ofsequence data in many public online databases and the huge amount ofdata generated from the Human Genome Project, computer analysis has become indispensable. This calls for novel algorithms and opens up new areas of applications for many pattern recognition techniques. In this article, we review two major avenues of research in bioinformatics, namely DNA sequence analysis and DNA microarray data analysis. In DNA sequence analysis, we focus on the topics of sequence comparison and gene recognition. For DNA microarray data analysis, we discuss key issues such as image analysis for gene expression data extraction, data pre-processing, clustering analysis for pattern discovery and gene expression time series data analysis. We describe current methods and show how computational techniques could be useful in these areas. It is our hope that this review article could demonstrate how the pattern recognition community could have an impact on the fascinating and challenging area of genomic research.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.sciencedirect.com/science/journal/00313203
Alternative URI http://dx.doi.org/10.1016/j.patcog.2005.02.019
Copyright Statement Copyright 2005 Elsevier. Please refer to the journal's website for access to the definitive, published version.
Volume 38
Issue Number 11
Page from 2055
Page to 2073
ISSN 0031-3203
Date Accessioned 2007-06-08
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Gene Expression; PRE2009-Pattern Recognition
URI http://hdl.handle.net/10072/24904
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1x

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