JSM 2005 Online Program

Abstract #303386

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	359
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	General Methodology
Abstract - #303386
Title:	A Statistical Method for Analyzing SAGE Libraries
Author(s):	Zailong Wang*+ and Shili Lin and Magdalena Popesco and Andrej Rotter
Companies:	The Ohio State University and The Ohio State University and The Ohio State University and The Ohio State University
Address:	3215 Riverview Place Apt E, Columbus, OH, 43202, United States
Keywords:	Serial Analysis of Gene Expression ; Tags ; Poisson ; Bayesian hierarchical model ; Reversible Jump MCMC ; Cerebellum
Abstract:	A SAGE (serial analysis of gene expression) library is a collection of thousands of DNA "tags," each of which represents a distinct mRNA transcript. We model the count of each unique tag in a library as coming from a Poisson distribution, with its intensity parameter representing the abundance of the mRNA transcript. Focusing on the problem of identifying genes differentially expressed under different conditions, a Bayesian formulation is established. For differentially expressed genes, a different Poisson intensity parameter in each group is needed to explain the observed data. On the other hand, for genes similarly expressed across all groups, only a single parameter is sufficient to describe the counts. Under this formulation, the problem is to separate the differentially expressed genes from rest. The reversible jump Markov chain Monte Carlo method is adapted for this purpose. We will discuss our application of the method to analyze seven mouse libraries, trying to uncover genes associated with the process of aging in the cerebellum. Comparisons of the results with those obtained from other methods will be presented.

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