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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 285
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #310355
Title: Proteomic Analysis by 2-D PAGE for Response to Low-Dose Ionizing Radiation and Arsenic Exposure
Author(s): Dan Li*+ and Susanne R. Berglund and Alison Santana and Zelanna Goldberg and David Rocke
Companies: University of California, Davis and University of California, Davis and University of California, Davis and University of California, Davis and University of California, Davis
Address: 6600 Orchard Park Circle, Apt 6024, Davis, CA, 95616,
Keywords: Protein expression data ; 2-D PAGE ; Statistical differential analysis ; Empirical Bayes estimate ; Missing data ; EM algorithm
Abstract:

Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) is an important technique in proteomics. We have developed a procedure to analyze protein expression data generated by 2-D PAGE to identify the proteins that are differentially expressed across different conditions. The procedure consists of data normalization, variance stabilization, analysis of variance, estimate of protein-specific variance, adjustment for multiple comparisons and a Chi-square test. Missing data is a common problem encountered by researchers when using 2-D PAGE. Each missing spot is either left-censored or just randomly missing. A maximum likelihood model is set up which accounts for both of these two causes of missing. A case study on the effect of low dose arsenic and low dose ionizing radiation exposure is presented.


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Revised September, 2007