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The CRASSS plug-in for integrating annotation data with hierarchical clustering results
Eugen C Buehler1, Jeffrey R Sachs, Kui Shao
1Applied Computer Science and Mathematics, Merck Research Laboratories, P.O. Box 2000 RY84-202, Rahway, NJ 07065 0900, USA. eugen_buehler@merck.com
Bioinformatics (Oxford, England)
|June 18, 2004
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).