Abstract #302238

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JSM 2003 Abstract #302238
Activity Number: 69
Type: Invited
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #302238
Title: Graphics and Bio-Data Refining
Author(s): Robert Yuan*+ and Ker-Chau Li
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: Statistics Dept., Los Angeles, CA, 90095-1554,
Keywords: graph ; microarray expression
Abstract:

High throughput expression profiling enables the global study of gene activities. Genes with positively correlated expression profiles are likely to encode functionally related proteins. However, all biological processes are interlocked and each protein may play multiple cellular roles. Thus the coexpression of any two functionally related genes may depend on the constantly varying, yet often unknown cellular state. The recent theory of coexpression dynamics based on liquid association (Li 2002) offers a way to describe a novel type of ternary association where the sign and the strength of the association between a pair of genes X, Y may vary as the expression level of a third gene Z changes. This new development poses several issues on the graphical display of the distilled ternary relationship and on the visualization of the expression data in general. Some initial attempts to meet the challenge are discussed in this talk.

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