Title: Wavelet transformation and cluster ensemble for gene expression analysis
Authors: Xiaohua Hu, Illhoi Yoo, Xiaodan Zhang, Payal Nanavati, Debjit Das
Addresses: 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
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
International Journal of Bioinformatics Research and Applications, 2005 Vol.1 No.4, pp.447 - 460
Published online: 20 Dec 2005 *
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