JSM 2005 Online Program

Abstract #304685

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	370
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistical Computing
Abstract - #304685
Title:	Matrix Reduction Information Measures for Microarray Gene Expression and Other Applications
Author(s):	Ehsan Soofi*+ and Nader Ebrahimi and Joseph J. Retzer
Companies:	University of Wisconsin, Milwaukee and Northern Illinois University and Maritz Research
Address:	School of Business Adminsitration, Milwaukee, WI, 53201, United States
Keywords:	Maximum Entropy ; Minimum Discrimination Information ; Size distribution ; Oligonucleotide Array
Abstract:	In many experiments, measurements on aspects of a single phenomenon are arranged in a data matrix. The problem of assessing whether all rows/columns of a matrix represent the same underlying phenomenon arises in various types of applications. Usually, the analysis of such experiments is nontrivial because of large data size and many levels of variation introduced at different stages of the experiments. The examples include microarray data that represent the measurement of gene expression on a large scale. We consider various information measures that identify rows/columns not compatible with the data matrix as a whole. Applications to the gene expressions of high-density oligonucleotide array data will be presented and compared with results of currently used measures of gene expression level.

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