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

Abstract Details

Activity Number: 387
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Memorial
Abstract - #306001
Title: Detection of Differentially Expressed Groups of Genes Using a Multivariate Test Statistic in a Partially Paired Microarray Data Set
Author(s): Byung Soo Kim*+ and Johan Lim and Jayeon Kim and Sang-Cheol Kim and Donghyeon Yu and Kyunga Kim
Companies: Yonsei University and Seoul National University and Yonsei University and Yonsei University and Seoul National University and Seoul National University
Address: 262 Seongsanno, Seodaemungu, Seoul, 120-749, S.Korea
Keywords: partially paired microarray data ; false discovery rate ; correlation among genes ; differentially expressed groups of genes

A growing number of reports on the inter-gene correlations in microarray data sets indicate the importance of identifying differentially expressed (DE) groups of genes. We develop a multivariate test procedure for detecting DE groups of genes in a partially paired cDNA microarray data set. The multivariate statistic proposed in this talk, which is referred to as Tp statistic where p stands for the group size of a gene set, generalizes the two-sample Hotelling's T2 statistic. The test based on the Tp can be used for validating the co-expression of preselected gene sets, or for an exploratory search of gene sets whose expression pattern change concordantly between different biological conditions. Once the empirical null distribution of the Tp statistic is derived, we can employ Efron's recent result of modifying the FDR (Efron. 2007) to detect DE gene sets using the conditional FDR.

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