This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
417
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
|
Sponsor:
|
IMS
|
Abstract - #307901 |
Title:
|
Inferring Disease-Related Interaction Network
|
Author(s):
|
Qi Zhang*+ and Pei Wang
|
Companies:
|
Fred Hutchinson Cancer Research Center and Fred Hutchinson Cancer Research Center
|
Address:
|
Dept. of Biostatistics,, , 98195-7232,
|
Keywords:
|
Network ;
Partial Correlation ;
Sparse Regression ;
Differential Co-expression Analysis ;
High Dimension Data
|
Abstract:
|
Detecting disease-related interactions among genes or proteins are essential for discoverying disease responsible pathways. We propose an efficient method for constructing disease related interaction network based on high dimensional genomic array data. Specifically, the method assumes the overall sparsity of the network and infers interactions through non-zero partial correlations. It employs varying-coefficient models in a joint sparse regression framework to characterize the dependence of interactions on disease status. Compared with the existing approach which infers and then compares multiple networks fitted for different disease groups, the proposed new method has the advatange of exploiting the entire set of samples coherently, and can be naturally used for continuous disease phenotypes. We illustrate the performace of our method through simulation studies and experimental results
|
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 jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.