Abstract #301964

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JSM 2003 Abstract #301964
Activity Number: 288
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #301964
Title: Exploiting the Null to Reduce False Positives in Microarray Experimentation
Author(s): Lauren M. McIntyre*+ and Marta Wayne and Sergey Nuzhdin and Mick Popp and Xiaodong Yan
Companies: Purdue University and University of Florida and University of California and University of Florida and Purdue University
Address: 915 W State St., West Lafayette, IN, 47907,
Keywords: microarray ; expression index ; ANOVA
Abstract:

Microarray experiments to detect differential gene expression are ubiquitous. The challenge of separating signal from noise in these experiments is evidenced by the number of different gene expression estimators. We explore the effects of different estimators on a sample dataset from Drosophila melanogaster and recommend using multiple estimators to determine differential expression. This approach allows for variation in noise modeling approaches to be exploited, and allows the experimenter to balance Type I and Type II error. We test our approach on data from QTL mapping experiments and demonstrate that our results are enriched for candidate genes. Our approach has the potential to increase power for detection of differentially expressed genes.

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