JSM 2003 Online Program

Abstract #300857

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Activity Number:	95
Type:	Contributed
Date/Time:	Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor:	Biometrics Section
Abstract - #300857
Title:	Mixed Models for Microarray Data
Author(s):	Keying Ye*+ and Ina Hoeschele and Xiao Yang
Companies:	Virginia Polytechnic Institute and State University and Virgina Bioinformatics Institute and Virginia Polytechnic Institute and State University
Address:	Dept. of Statistics, Blacksburg, VA, 24061-0001,
Keywords:	gene expressions ; ANOVA models ; microarray experiments ; mixed models ; two-step analysis
Abstract:	The focus of this talk is on the application of ANOVA models to detecting differential gene expressions for cDNA microarray experiments. We analytically establish the conditions of the equivalence between the one- and two-step analyses under both the fixed and mixed models. Furthermore, conditions such that those two analyses are not equivalent are also investigated. The significant difference between the one- and two-step mixed models will be illustrated through Monte Carlo simulation and case studies.

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