Article Abstract

	Title:	Wavelet transformation and cluster ensemble for gene expression analysis
	Author:	Xiaohua Hu, Illhoi Yoo, Xiaodan Zhang, Payal Nanavati, Debjit Das
	Address:	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
	Journal:	International Journal of Bioinformatics Research and Applications 2005 - Vol. 1, No.4  pp. 447 - 460
	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.
	Keywords:	wavelet transformation; cluster ensemble; yeast gene expression; clustering algorithms; graph theory; wavelets; bioinformatics; synthetic data sets.
	DOI:	10.1504/IJBRA.2005.008447
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