JSM 2004 - Toronto

Abstract #300762

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. 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, 2004); 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 2004 Program page
Activity Number: 45
Type: Topic Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #300762
Title: A Bayesian Method for Class Discovery and Gene Selection
Author(s): Mahlet G. Tadesse*+ and Naijun Sha and Marina Vannucci
Companies: University of Pennsylvania and University of Texas, El Paso and Texas A&M University
Address: Dept. of Biostatistics, Philadelphia, PA, 19104-6021,
Keywords: Bayesian variable selection ; clustering ; DNA microarray data analysis ; mixture models ; Markov chain Monte Carlo
Abstract:

A common goal in DNA microarray data analysis is the discovery of new classes of disease and the identification of relevant genes. We propose a Bayesian method for simultaneously uncovering the cluster structure of the observations and identifying genes that best discriminate the different groups. We formulate the clustering problem in terms of a multivariate normal mixture model with an unknown number of components and use the reversible jump MCMC technique. We handle the problem of selecting a few predictors among the prohibitively large number of variable subsets through the introduction of a binary inclusion/exclusion latent vector and stochastic search methods. We illustrate the methodology with a microarray data from an endometrial cancer study.

  • 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 2004 program

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004