Abstract #300527

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JSM 2002 Abstract #300527
Activity Number: 373
Type: Topic Contributed
Date/Time: Thursday, August 15, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing*
Abstract - #300527
Title: Meta-analysis of Microarray Data for Prostate Cancer Studies
Author(s): Debashis Ghosh*+ and Arul Chinnaiyan
Affiliation(s): University of Michigan and University of Michigan
Address: 1420 Washington Heights, Ann Arbor, Michigan, 48109/2029,
Keywords: Gene expression ; Mixture models
Abstract:

Due to the current technological variability in microarrays, the power of questions they can be used to address is relatively limited. In this talk, we examine the potential for using meta-analysis methods for the analysis of microarray data to increase the scope of these experiments. We discuss the issue of combining data from different technologies. The use of the false discovery rate (FDR) for identifying candidate genes is examined. In addition, we explore the use of pathway database information in order to develop biological hypotheses about disease. The issues are discussed in the prostate cancer setting.

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