JSM Activity #15

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Activity ID:  15
Title
Design and Analysis of Gene Expression Microarray Experiments
Date / Time / Room Sponsor Type
08/11/2002
2:00 PM - 3:50 PM
Room: S-Royal Ballroom A 		Biometrics Section*, Biopharmaceutical Section*, ENAR, Section on Physical & Engineering Sciences* Contributed
Organizer: n/a
Chair: Mary D. Sammel, University of Pennsylvania
Discussant:  
Description

The papers in this session discuss recent statistical methods for gene expression microarray experiments' data analysis. Topics range from optimal block designs, standardization of data, model selection, classification, disease mapping, selection of genes and bio-informatics.
  300958  By:  Xiao  Yang 2:05 PM 08/11/2002
On the Optimal Design of Gene Expression Microarray Experiments

  301380  By:  Cynthia J. Coffman 2:20 PM 08/11/2002
Model Selection Criteria for Gene Expression Data

  301508  By:  Hanga  Galfalvy 2:35 PM 08/11/2002
Standardizing Gene Expression Data from High-density Oligonucleotide Microarrays in a Matched Pair Study

  301600  By:  Michael  D. Swartz 2:50 PM 08/11/2002
A Hierarchical Bayesian Model for the Gene Mapping of a Complex Disease

  300901  By:  Anuradha   Roy 3:05 PM 08/11/2002
Discrimination Under Covariance Structure: A Consideration in DNA Microarray Technology

  301028  By:  Qiuhu  Shi 3:20 PM 08/11/2002
Minimize the Jackknife Estimate of the Bias to Select the Smallest Genes Set to Identify Case and Control

  301868  By:  Kuang-Ho  Chen 3:35 PM 08/11/2002
Bio-informatics Analysis in Dichotomous Genetic Marker Information

JSM 2002

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Revised March 2002