The CRASSS plug-in for integrating annotation data with hierarchical clustering results.

Buehler, Eugen C; Sachs, Jeffrey R; Shao, Kui; Bagchi, Ansuman; Ungar, Lyle H · Bioinformatics · 2004

other · Level V

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Abstract

We describe an algorithm for finding the most statistically significant non-overlapping subtrees of a hierarchical clustering of gene expression data with respect to a set of secondary data labels on genes. The method is implemented as a Java plug-in for a commercial gene expression analysis program (GeneSpring).

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