Applications of Emerging Patterns for Microarray Gene Expression Data Analysis

This topic is related to applications of emerging patterns in the bioinformatics field, in particular for in-silico cancer diagnosis by mining emerging patterns from large scale microarray gene expression data.

The contemporary gene expression profiling technologies such as cDNA microarray chips and Affymetrics DNA microarry chips can measure the expression levels of thousands even tens of thousands of genes simultaneously. This provides a great opportunity to identify specific genes or gene groups that are responsible for a particular disease, for example, the subtypes of childhood leukemia disease. Reference [3] proposed to use emerging patterns to capture the signature patterns between the gene expression profiles of colon tumor cells and normal cells. This was the first bioinformatics work studying how gene groups and their expression intervals signify the difference between diseased and normal cells. That paper also proposed to design treatment plans to cure...

Authors and Affiliations

1. Wright State University, Dayton, OH, USA

   Guozhu Dong

2. Nanyang Technological University, Singapore, Singapore

   Jinyan Li

Editors and Affiliations

1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

   LING LIU (Professor) (Professor)

2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

   M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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