Pattern recognition techniques for the emerging field of bioinformatics: A review

  • Authors:

  • Alan Wee-Chung Liew;Hong Yan;Mengsu Yang

  • Affiliations:

  • Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong;Department of Computer Engineering and Information Technology, City University of Hong Kong, Kowloon, Hong Kong and School of Electrical and Information Engineering, University of Sydney, NSW 2006 ...;Department of Chemistry and Biology, City University of Hong Kong, Kowloon, Hong Kong

  • Venue:
  • Pattern Recognition
  • Year:
  • 2005

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Abstract

The emerging field of bioinformatics has recently created much interest in the computer science and engineering communities. With the wealth of sequence data in many public online databases and the huge amount of data 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.