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Exploring data sets by applying biclustering algorithms was first introduced in gene expression analysis. While the generated biclus-tered data grows with increasing rates due to the technological progress in measuring gene expression data, the visualization of the computed biclusters still remains an open issue. For efficiently analyzing the vast amount of(More)
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