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

被引:10
作者
Buehler, EC
Sachs, JR
Shao, K
Bagchi, A
Ungar, LH
机构
[1] Merck Res Labs, Rahway, NJ 07065 USA
[2] Univ Penn, Dept Comp & Informat Sci, Philadelphia, PA 19104 USA
关键词
D O I
10.1093/bioinformatics/bth362
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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).
引用
收藏
页码:3266 / 3269
页数:4
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