The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
599
|
|
Type:
|
Invited
|
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistical Learning and Data Mining
|
| Abstract - #300403 |
|
Title:
|
Statistical Modeling of High-Dimensional Gene Network Interaction Models
|
|
Author(s):
|
Bala Rajaratnam*+
|
|
Companies:
|
Stanford University
|
|
Address:
|
390 Serra Mall, Stanford, CA, 94305,
|
|
Keywords:
|
network models ;
graphical models ;
conditional independences ;
high dimensional ;
gene-gene interactions
|
|
Abstract:
|
We explore the problem of statistical inference and model selection for high dimensional gene network models. We examine different appraoches to qunatifying gene-gene interactions in modern day genomic studies and how they can can be modeled in terms of conditional independencies, marginal independencies and other types of interactions. We propose different statistical models in this regard and develop inferential procedures that are suitable for high dimensional settings. The methodlogy is illusrated on both simulated and real data.
|
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 2011 program
|
2011 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.