JSM Activity #471

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco
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471 Applied Session Thu, 8/7/03, 10:30 AM - 12:20 PM R-Parc Ballroom II
Multivariate Approaches to Gene Expression Data - Contributed - Papers
Biometrics Section
Chair(s): Joshua M. Tebbs, Oklahoma State University
     10:35 AM   Greedy Learning from Multiple Gene Profiles for Selecting Informative Genes in Molecular Cancer ClassificationXin Yan, Columbia University; Shaw-Hwa Lo, Columbia University
     10:50 AM   A Mixture Regression Model for Identifying Genes with Different Time-course Expression ProfilesFangxin Hong, University of California, Davis; Hongzhe Li, University of California, Davis
     11:05 AM   Statistical Significance Analysis of Longitudinal Gene Expression DataXu Guo, University of Minnesota; Huilin Qi, University of Minnesota; Catherine M. Verfaillie, University of Minnesota; Wei Pan, University of Minnesota
     11:20 AM   Statistical Methods for Chip Calibration and Saturation Effects in Antibody-Spiked Gene Expression DataJingjin Li, Indiana University-Purdue University Indianapolis; Sunil Rao, Case Western Reserve University
     11:35 AM   Correlation as a Function of Distance in Oligonucleotide Space: Using the Correlation to Obtain More Efficient Inference of Gene Expression for Oligonucleotide ArraysCavan Reilly, University of Minnesota
     11:50 AM   Probe Level Analysis of Oligonucleotide Data with Rank ApproachDung-Tsa Chen, University of Alabama, Birmingham; Sue-Hwa Lin, University of Texas; Seng-Jaw Soong, University of Alabama
     12:05 PM   Nonparametric Hypothesis-Based Analysis of Microarrays for Comparative Phenotype CharacterizationJeanne Kowalski, Johns Hopkins University; Marianna L. Zahurak, Johns Hopkins University; Adam Mamelak, Johns Hopkins University; Daniel Sauder, Johns Hopkins University
 

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003