Abstract #300939

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JSM 2003 Abstract #300939
Activity Number: 334
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #300939
Title: Sample Size Calculations in Microarray Experiments
Author(s): Jianhua Hu*+ and Fred A. Wright and Fei Zou
Companies: University of North Carolina, Chapel Hill and The Ohio State University and University of North Carolina, Chapel Hill
Address: 401 Highway 54 Bypass, Carrboro, NC, 27510-2103,
Keywords: EM algorithm ; false discover rate ; false positive rate ; p value ; sample size
Abstract:

Expression microarray techniques allow researchers to monitor the expression patterns of thousands of genes simultaneously. The issue of sample size in microarray experiments is important to reliably make statistical inference. There are few papers addressing this problem but none takes false discover rate (FDR) into consideration. Our approach aims to connect sample size with FDR and the number of differentially expressed genes of interest. FDR can be estimated analytically with our approach. The usage of the method has been shown through simulations and a real data set of human lymphoblastoid cell lines. Our FDR estimates are compared to the permuted results of the software "Significance Analysis of Microarray" (SAM).

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