The CRASSS plug-in for integrating annotation data with hierarchical clustering results.
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).
Buehler
Eugen C
EC
Applied Computer Science and Mathematics, Merck Research Laboratories, P.O. Box 2000 RY84-202, Rahway, NJ 07065 0900, USA. eugen_buehler@merck.com
Sachs
Jeffrey R
JR
Shao
Kui
K
Bagchi
Ansuman
A
Ungar
Lyle H
LH
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