Guest Editorial: Introduction to the special issue on machine learning for microarray bioinformatics

Man Wai Mak, Ahmed Tewfik, Lai Wan Chan, Chun Chung Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review


This special issue of the journal contains some significant information associated with machine learning for microarray bioinformatics. Clustering of gene expression data can be used to identify groups of genes or groups of samples that exhibit similar expression patterns and its applications includes disease diagnoses, gene identification, and discovery. The accuracy of the gene expression level extracted from the spots on the microarrays ensures the reliability of clinical applications of microarrays. Wang and co-workers propose a fuzzy-clustering spot-segmentation method that can handle array spots with complex shapes like donuts and scratches. Understanding the dynamic processes of gene expression can be used to optimize biological process for the biotech industry. Kramer and Xu present a method for inferring a continuous model from discrete gene measurements.
Original languageEnglish
Pages (from-to)263-265
Number of pages3
JournalJournal of Signal Processing Systems
Issue number3
Publication statusPublished - 1 Mar 2008

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Theoretical Computer Science
  • Control and Systems Engineering
  • Modelling and Simulation


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