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HCE: Hierarchical Clustering Explorer (ISR IP)ISR intellectual property available to license
Inventors
Description
• overview of the entire dataset, coupled with a detail view so that high-level patterns and hot spots can be easily found and examined
However, the high dimensionality of the data sets still hinders users from finding interesting patterns, clusters, and outliers. Determining the biological significance of such features remains problematic due to the difficulties of integrating biological knowledge. In addition, it is not efficient to perform a cluster analysis over the whole data set in cases where researchers know the approximate temporal pattern of the gene expression that they are seeking. To address these problems, we developed the Hierarchical Clustering Explorer 2.0 by adding three new features to HCE:
• scatterplot ordering methods so that all 2D projections of a high dimensional data set can be ordered according to relevant criteria
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