JSM Activity #125This 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. To View the Program: You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time. |
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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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125 | Mon, 8/4/03, 10:30 AM - 12:20 PM | H-Plaza Room A |
Bayesian and Mixture Methods in Genomics Research - Contributed - Papers | ||
Section on Bayesian Stat. Sciences, Biopharmaceutical Section, ENAR | ||
Chair(s): Cavan Reilly, University of Minnesota | ||
10:35 AM | Bayesian Identification of Differential Gene Expression Induced by Metals in Human Bronchial Epithelial Cells — Leanna L. House, Duke University; Merlise A. Clyde, Duke University; Tony Huang, Duke University | |
10:50 AM | Improving Bayesian Methods for Motif Discovery — Shane T. Jensen, Harvard University; Jun S. Liu, Harvard University | |
11:05 AM | Modeling Differential Gene Expression Using a Dirichlet Process Mixture Model — David B. Dahl, University of Wisconsin, Madison | |
11:20 AM | Hierarchical Bayesian Neural Network for Correlated Gene Expression Temporal Pattern Classification — Yulan Liang, State University of New York at Buffalo; Ebenezer George, University of Memphis; Arpad Kelemen, University of Mississippi | |
11:35 AM | Bayesian Methods for Phylogeny Independent Detection of Positively Selected Amino Acid Sites — Daniel Merl, University of California, Santa Cruz; Raquel Prado, Uuniversity of California, Santa Cruz; Ananias Escalante, Centers for Disease Control and Prevention | |
11:50 AM | Sequential Monte Carlo and Dirichlet Mixtures for Extracting Protein Alignment Models. — Tanya Logvinenko, Stanford University; Jun S. Liu, Harvard University | |
12:05 PM | Floor Discussion | |
JSM 2003
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please contact the Education Department. |