JSM 2004 - Toronto

Abstract #300801

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Activity Number: 200
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 9:00 AM to 10:50 AM
Sponsor: Biometrics Section
Abstract - #300801
Title: Statistical Issues of Protein Microarray Analysis
Author(s): Lianbo Yu*+ and Rebecca W. Doerge
Companies: Purdue University and Purdue University
Address: Dept. of Statistics, West Lafayette, IN, 47907-2067,
Keywords: protein microarray
Abstract:

DNA microarrays measure the intensities of mRNA and are used to make inferences about corresponding gene transcription. Proteins, on the other hand, are the final products of genes, and perform various functions in cells. Protein microarrays are emerging technologies that allow the complex properties of proteins to be studied in a manner that is unique from DNA microarrays. Miller et al. (2003) designed an antibody microarray to identify potential biomarkers for the identification of prostate cancer. We employ analysis of variance model to normalize antibody microarray data and explain the sources of variation associated with this technology. Both hypotheses and multiple comparison procedures are constructed to find potential biomarkers of prostate cancer.


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Revised March 2004