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Activity Number: 373
Type: Contributed
Date/Time: Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #305354
Title: Improving Differential Expression Analysis with the Consideration of Genome-Wide Co-Expression Information
Author(s): Yinglei Lai*+
Companies: The George Washington University
Address: 2140 Pennsylvania Ave. NW , Washington, DC, 20052,
Keywords: multiple hypothesis testing ; gene expression ; differential expression ; co-expression ; genome-wide analysis ; local regression
Abstract:

The control of false positives in differential expression analysis remains a major challenge although many statistical methods have been proposed for its improvement. Since genes interact with each other during cellular and molecular processes, an efficient incorporation of genome-wide co-expression information may significantly improve the detection of differential expression. We will address our recent research progress in this direction.

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