An effective graph-based clustering technique to identify coherent patterns from gene expression data

Authors:
G. Priyadarshini;R. Sarmah;B. Chakraborty;D. K. Bhattacharyya;J. K. Kalita
Affiliations:
Department of Computer Science and Engineering, Tezpur University, Tezpur, India.;Department of Computer Science and Engineering, Tezpur University, Tezpur, India.;Department of Computer Science and Engineering, Tezpur University, Tezpur, India.;Department of Computer Science and Engineering, Tezpur University, Tezpur, India.;Department of Computer Science, University of Colorado, Colorado Springs, CO 809933, USA
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2012

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Abstract

This paper presents an effective parameter-less graph based clustering technique (GCEPD). GCEPD produces highly coherent clusters in terms of various cluster validity measures. The technique finds highly coherent patterns containing genes with high biological relevance. Experiments with real life datasets establish that the method produces clusters that are significantly better than other similar algorithms in terms of various quality measures.