JSM 2004 - Toronto

Abstract #301128

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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 - #301128
Title: Selection of Significant Genes in Microarray Experiments
Author(s): James J. Chen*+ and Chen-An Tsai
Companies: National Center for Toxicological Research and National Center for Toxicological Research
Address: 3900 NCTR Rd., Jefferson, AR, 72079,
Keywords: FDR ; FWE ; number of null hypotheses ; ROC curve ; classification
Abstract:

An objective in microarray experiments is to select a subset of genes that are differentially expressed among different experimental samples or treatments. Selection of differentially expressed genes involves two steps: calculate a discriminatory index (score) for each gene for ranking of differential expressions and determine a cutoff from the ranked scores. This study considers using discriminative indices from the Receiver Operating Characteristic curve for the ranking of differential expressions and the significance testing approach to determine a cutoff from ranked p values. The unadjusted and adjusted p values are computed using the permutation resampling method. We discuss the use of the familywise error rate and false discovery error rate criterions for gene selection. Example datasets are used to illustrate gene selections in sample classification.

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