This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 609
Type: Topic Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #308032
Title: Bayesian Joint Modeling of Multiple Gene Networks and Diverse Genomic Data to Identify Target Genes of a Transcription Factor
Author(s): Peng Wei*+ and Wei Pan
Companies: The University of Texas School of Public Health and University of Minnesota
Address: 1200 Pressler Dr., Houston, TX, 77030,
Keywords: Bayesian hierarchical modeling ; gene networks ; joint modeling ; Markov random field ; systems biology

We consider integrative modeling of multiple gene networks and diverse genomic data including protein-DNA binding, gene expression and DNA sequence data to accurately identify the regulatory target genes of a transcription factor (TF). Rather than treating all the genes equally and independently a priori in existing joint modeling approaches, we incorporate the biological prior knowledge that neighboring genes on a gene network tend to be (or not to be) regulated by a TF together. To maximize the use of all existing biological knowledge, we allow the incorporation of multiple gene networks into joint modeling of genomic data by introducing a Markov random field-based model. Application to an E. coli dataset together with simulation studies demonstrates the utility and statistical efficiency gains of the proposed joint model.

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 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.