|
Activity Number:
|
487
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Biopharmaceutical Section
|
| Abstract - #301595 |
|
Title:
|
Domain-Enhanced Analysis Using the Gene Ontology with Different Classification Response Variables
|
|
Author(s):
|
Jiajun Liu*+ and Jacqueline Hughes-Oliver and Jason Osborne and Jack A. Menius
|
|
Companies:
|
Merck Research Laboratories and North Carolina State University and North Carolina State University and GlaxoSmithKline
|
|
Address:
|
RY34-A316, P.O. Box 2000, Rahway, NJ, 07065, NJ, 07065,
|
|
Keywords:
|
Gene Expressions ; Gene Aggregation ; Gene Ontology ; Gene Set Enrichment ; Partial Least Square
|
|
Abstract:
|
New biological systems technologies give scientists abilities to measure thousands of biomolecules including genes, proteins, lipids, and metabolites. We use a procedure called Domain Enhanced Analysis (DEA), a "top-down" approach to perform domain aggregation by first combining gene expressions using the Gene ontology before testing for differentially expressed patterns; the benefits are greater sensitivity for detecting signals. In original DEA procedure, the first scores from the Partial Least Square procedure are used to test for differentially expressed patterns using the t test. We proposed new tests by finding the true null distribution of each PLS score adjusted for the size of the GO term to replace the original t test. We also discuss the impact of our testing procedure with different coding of our classification response variable, namely 0/1 or -1/1 for data with two classes.
|
- 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 2008 program |
