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

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #308331
Title: Balancing Factor Analysis for Identifying Differentially Expressed Genes in Microarrays
Author(s): Byung S. Park*+ and Shannon McWeeney and Daniel Bottomly and Priscila Darakjian and Ovidiu Iancu and John Belknap and Robert Hitzemann and Motomi Mori
Companies: Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University
Address: 3181 SW Sam Jackson Park Road CR145, Portland, OR, 97239,
Keywords: Balancing Factor Score ; mRNA Expression ; False Positive Rate ; False Negative Rate ; Differentially Expressed Genes
Abstract:

Genome-wide mRNA expression profiling using microarrays is widely utilized today; yet the analysis and interpretation of the resulting high dimensional data continue to pose a challenge to biomedical scientists. In particular, the ability to identify and prioritize candidate genes that are reproducible when considering cross-platform or temporal differences based on when the experiment was conducted is particularly important in a hypothesis-generating/discovery framework. In this paper we propose a new method called "Balancing Factor Score (BFS)" method, which attempts to balance between the false positive and negative rates. The BFS method will be illustrated using microarray data from mouse genetics experiments generated by the Portland Alcohol Research Center for complex trait studies, from both of the major expression platforms: Affymetrix and Illumina.


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