JSM Activity #208


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Activity ID:  208
Title Room
Statistical Issues and Challenges in Microarray Technology H-Roosevelt
Date / Time Sponsor Type
08/07/2001    2:00 PM  -  3:50 PM Biopharmaceutical Section*, ENAR Topic Contributed
Organizer: Nanxiang (Sean) Ge, Aventis
Chair: Lisa LaVange, Quintiles, Inc.
Discussant:  
Floor Discussion 3:45 PM
Description

Microarray technology has becoming an increasingly important tool for pharmaceutical research and is transforming the way biological research is done. Statistical issues include data quality, data normalization, significance testing. Interesting scientific questions range from identifying differentially expressed genes, sub-class discovery using gene expression profiling technique, prediction of drug response using gene expression profile, etc. The goal of this session is to provide a forum where on-going research in this exciting new area will be presented to the statistical community. The session aims to cover the following different areas: data processing, significance testing; identification of differentially expressed genes for marker selection; analysis of gene regulatory network.
  300722  By:  Hongquan Xu 2:05 PM 08/07/2001
A Smooth Response Surface Algorithm for Constructing Gene Regulatory Network

  301382  By:  Daniel Holder 2:25 PM 08/07/2001
A Data Analytic Approach to the Analysis of High Density Oligonucleotide Arrays

  300735  By:  Nanxiang (Sean) Ge 2:45 PM 08/07/2001
Data Pre-processing in Microarray Gene Expression Profiling

  300668  By:  Keith Baggerly 3:05 PM 08/07/2001
Assessing Significance on cDNA Microarrays: An Exercise in Statistical Modeling

  301339  By:  C. F. Jeff Wu 3:25 PM 08/07/2001
PIDEX: a Statistical Approach for Screening Differentially Expressed Genes Using Microarray Analysis

JSM 2001

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Revised March 2001