JSM 2005 Online Program

Abstract #303571

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:	277
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Bayesian Statistical Science
Abstract - #303571
Title:	Modeling Correlated Structures in Sequence Motif Problems
Author(s):	Qing Zhou*+ and Wing Hung Wong
Companies:	Harvard University and Stanford University
Address:	Dept of Statistics, Cambridge, MA, 02138, United States
Keywords:	Motif discovery ; Cis-regulatory modules ; Transcription factor ; Comparative genomics
Abstract:	Cis-regulatory modules (CRMs) composed of multiple transcription factor binding sites (TFBSs) control gene expression in eukaryotic genomes. Comparative genomic studies show these regulatory elements are more conserved across species due to evolutionary constraints. We propose a coupling hidden Markov model that utilizes these two sorts of information from coregulated modules and from multiple genome conservation under a unified probabilistic framework. Based on the model, we perform Bayesian inference using the Gibbs sampling algorithm to de novo discover CRMs and their component motifs. We applied our algorithm to different genomes, and significant improvements were observed compared with other existing methods.

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