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

Eugen C Buehler; Jeffrey R Sachs; Kui Shao; Ansuman Bagchi; Lyle H Ungar

doi:10.1093/bioinformatics/bth362

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

Bioinformatics. 2004 Nov 22;20(17):3266-9. doi: 10.1093/bioinformatics/bth362. Epub 2004 Jun 16.

Authors

Eugen C Buehler¹, Jeffrey R Sachs, Kui Shao, Ansuman Bagchi, Lyle H Ungar

Affiliation

¹ Applied Computer Science and Mathematics, Merck Research Laboratories, P.O. Box 2000 RY84-202, Rahway, NJ 07065 0900, USA. [email protected]

PMID: 15201188
DOI: 10.1093/bioinformatics/bth362

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).

MeSH terms

Algorithms*
Cluster Analysis
Databases, Genetic
Documentation / methods
Gene Expression Profiling / methods*
Information Storage and Retrieval / methods*
Programming Languages
Sequence Alignment / methods*
Sequence Analysis, DNA / methods*
Software*
Systems Integration
User-Computer Interface*