JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 253
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #306938
Title: Bayesian System Network Modeling of Multiple Sparse Replicates
Author(s): James Lawrence Norris*+ and David John and Kristopher Patton
Companies: Wake Forest University and Wake Forest University and Wake Forest University
Address: Department of Mathematics, Winston-Salem, NC, 27109,
Keywords: Bioinformatics ; system network modeling ; Bayesian statistics

Collection of protein interaction or gene activation time course data is fundamental in systems network studies. In many of these investigations, multiple replications with a sparse number of time points in each replication are obtained. Frequently, the replications are analyzed separately and only simple or ad hoc syntheses are performed. In this contribution, we utilize all the information from all of the replications to make rigorous composite inferences about the network. Specifically, we determine Bayesian posterior probabilities for network features through the following: determination of closed form Bayes factors for networks (here, modeled as directed acyclic graphs, DAGs), multi-faceted Metropolis-Hastings searching over the DAG space, and Bayesian model averaging. Our simulations suggest that our method identifies many existing associations.

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 2012 program

2012 JSM Online Program Home

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.