Wavelet transformation and cluster ensemble for gene expression analysis

Authors:
Xiaohua Hu;Illhoi Yoo;Xiaodan Zhang;Payal Nanavati;Debjit Das
Affiliations:
College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA.;College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA.;College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA.;College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA.;College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2005

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Abstract

This paper introduces a wavelet transformation and a cluster ensemble framework using graph theory for clustering gene expression data sets. The experiment results indicate that wavelet transformation and cluster ensemble approaches together yield better clustering results than the single best clustering algorithm on both synthetic and yeast gene expression data sets.