This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #308898
Title: Analyzing Gene Expression Data Using a Self-Contained Gene Set Enrichment Analysis Method
Author(s): Jiawei Liu*+
Companies: Georgia State University
Address: Mathematics and Statistics, Atlanta, GA, 30303,
Keywords: microarray data ; multiple hypothesis testing ; subject permutation ; gene permutation ; power

The DNA microarray technology allows the simultaneous measurement of the expression levels of tens of thousands of genes for a single biological sample. An important and common problem in microarray experiments is the detection of genes that are differentially expressed in a given number of classes. It needs to be carried out within the framework of multiple hypothesis testing. This paper proposed a testing method based on GSEA (Mootha, et al, 2003), that is adapted to a self-contained null hypothesis and to subject sampling.

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