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• W2011301692 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." @default.
• W2011301692 created "2016-06-24" @default.
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• W2011301692 date "2005-01-01" @default.
• W2011301692 modified "2023-10-05" @default.
• W2011301692 title "Wavelet transformation and cluster ensemble for gene expression analysis" @default.
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• W2011301692 doi "https://doi.org/10.1504/ijbra.2005.008447" @default.
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