Abstract #301352

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JSM 2003 Abstract #301352
Activity Number: 131
Type: Contributed
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #301352
Title: Between-Cluster Relationship for Microarray Data
Author(s): Greg Dyson*+ and Jeff Wu
Companies: University of Michigan and Georgia Institute of Technology
Address: 437 West Hall, Ann Arbor, MI, 48109,
Keywords: clustering ; robust ; microarray
Abstract:

Clustering methods are used to group objects with similar behaviors into one of $k$ sets. For gene expression data, two genes clustered into the same set tend to have a similar expression profile. Once all objects in a dataset are clustered, our procedure will ascertain the between-cluster relationship. Specifically for gene expression data, we will determine and quantify the amount of co-regulation between clustered sets of genes.This will yield an alternative way of characterizing the between-gene relationship that builds upon the existing structure from clustering. This procedure will allow the identification of negatively correlated pairs of genes, which may be an indication of repression or regulation.

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