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: 647
Type: Topic Contributed
Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
Sponsor: International Indian Statistical Association
Abstract - #304808
Title: Bayesian Kernel-Based Modeling of Single and Multiple Genetic Pathways for Cancer
Author(s): Sounak Chakraborty*+
Companies: University of Missouri-Columbia
Address: 209F Middlebush Hall, Columbia, MO, , USA
Keywords: semi-parametric model ; genetic pathways ; variable selection ; Bayesian method ; cancer ; Hilbert space

In this paper, we propose Bayesian kernel based regression model for modeling genetic pathways and their role in cancer studies. In the proposed models, the multidimensional regression functions are estimated using the reproducing kernel Hilbert space (RKHS) theory. The developed model is then used to quantify the pathway effects of a single genetic pathway on cancer. It is also extended to model multiple pathways jointly by using an additive model framework. Where, each pathway effect is estimated nonparametrically with the help of separate functions from RKHS. Based on Bayes factor and marginal likelihood we have proposed a scheme for testing single pathway effect and multiple pathway effects on the prostate cancer indicators. Along with testing pathway effects we design a stochastic search technique to do a simultaneous gene selection and also pathway selection, that will help us to pinpoint the relevant genes and pathways related with a disease. The performance of our proposed models are validated using 2 simulation studies and 2 real life data sets.

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.