JSM 2004 Online Program

Abstract #302134

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Activity Number:	155
Type:	Contributed
Date/Time:	Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #302134
Title:	A Statistical Method for Identifying Differentially Expressed Genes
Author(s):	Sunil Mathur*+
Companies:	University of Mississippi
Address:	Hume 325, Department of Mathematics, University, MS, 38677-1848,
Keywords:	statistical test ; differential expresssion ; gene ; identification ; robust ; efficient
Abstract:	A statistical test is proposed to detect differential gene expression for replicated microarray experiments conducted under two different conditions. This test is robust in nature and highly efficient when population is non-normal. The proposed test statistic is unaffected by outliers. Outliers have very serious effect on the test statistic, which is based on sample mean. The proposed test statistic is compared with Pan (2003) and Welch (1947) t- test under normal, gamma, and exponential populations set-up, using Monte Carlo technique.

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