Extensions of the Plaid Model for Two-way Clustering of Gene Expression Data

• Activity Number: 265
• Type: Invited
• Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
• Sponsor: International Chinese Statisticial Association
• Author(s): Laura Lazzeroni*+ and Art Owen
• Affiliation(s): Stanford University and Stanford University

Abstract

DNA microarrays allow the simultaneous measurement of gene expression for a large number of genes on experimental samples obtained under a variety of conditions. This design permits the observation of regulatory patterns shared by groups of genes across experiments. Traditional cluster analysis partitions the genes or the samples into a set of exhaustive, mutually exclusive clusters, implying that each gene or each sample responds to exactly one biological process. The Plaid model was introduced as a form of cluster analysis in which genes and samples may belong to one, more than one, or no clusters. The clusters are two-sided, reflecting the fact that groups of genes may be co-regulated under some conditions and not others. An additive two-way ANOVA model within each cluster allows each gene and each sample to exhibit the regulatory pattern of the cluster at its own response level. I will describe some recent extensions to the Plaid model aimed at more complicated data and improved interpretation. This research is joint work with Art Owen.