This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 609
Type: Topic Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #309067
Title: Regression and Classification with Gene Networks
Author(s): Wei Pan*+ and Xiaotong Shen
Companies: University of Minnesota and University of Minnesota
Address: A460 Mayo, MMC 303, MInneapolis, MN, 55455,
Keywords: Microarray ; Gene expression ; Penalized regression
Abstract:

We consider the problem of conducting regression or classification analysis with predictors whose relationships are described a priori by a network. A class of motivating examples is to model a quantitative or categorical phenotype using gene expression profiles while accounting for coordinated functioning of genes in the form of biological pathways or networks. We introduce our new methods and compare them with some existing ones.


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