title: The CRASSS plug-in for integrating annotation data with hierarchical clustering results.
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).
authors.affiliation: Applied Computer Science and Mathematics, Merck Research Laboratories, P.O. Box 2000 RY84-202, Rahway, NJ 07065 0900, USA. eugen_buehler@merck.com
authors.forename: Eugen C
authors.initials: EC
authors.lastname: Buehler
authors.forename: Jeffrey R
authors.initials: JR
authors.lastname: Sachs
authors.forename: Kui
authors.initials: K
authors.lastname: Shao
authors.forename: Ansuman
authors.initials: A
authors.lastname: Bagchi
authors.forename: Lyle H
authors.initials: LH
authors.lastname: Ungar
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D030541:Databases, Genetic; D004282:Documentation / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D011381:Programming Languages; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface