Abstract #301239

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2003 Program page
JSM 2003 Abstract #301239
Activity Number: 125
Type: Contributed
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #301239
Title: Modeling Differential Gene Expression Using a Dirichlet Process Mixture Model
Author(s): David B. Dahl*+
Companies: University of Wisconsin, Madison
Address: 1210 W. Dayton Street, Madison, WI, 53706,
Keywords: Dirichlet Process mixture model ; gene expression analysis ; DNA microarrays ; Markov chain Monte Carlo methods
Abstract:

The statistical literature has given considerable attention to the task of identifying differentially expressed genes using data from DNA microarrays. Proposed methods typically focus on finding differential expression between two treatment conditions. This paper proposes a model which simultaneously estimates expression levels for an arbitrary number of treatment conditions. The model is a conjugate Dirichlet Process mixture of Gaussian components. Probabilities for over- and under-expression between pairs of treatment combinations are readily computed as well as probabilities for more complicated contrasts involving many treatments. Since the mixing time for such Dirichlet Process mixture models can be slow, a new proposal mechanism for the Metropolis-Hastings algorithm is introduced and compared to the standard Gibbs update. The model is fit to an example dataset.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003