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Monday, December 18, 2000
| 7:30-8:30 |
Registration/ Breakfast /Poster Setup |
| 8:30-9:00 |
Opening Remarks
John Weinstein, National Cancer Institute |
| 9:00-9:40 |
Keynote
Mike West, Duke University |
| 9:40-10:10 |
Symbolic Discriminant Analysis for Mining Gene Expression Patterns
Jason H. Moore, Vanderbilt University Medical School |
| 10:10-10:30 |
Coffee Break |
| 10:30-11:00 |
Tumor Identification by Gene Expression Profiles: A Comparison of Five Different Clustering Methods
A. Schuster, University of Ulster at Jordanstown |
| 11:00-11:30 |
Symbolic and Subsymbolic Machine Learning Approaches for Molecular Classification of Cancer and Ranking of Genes
W. Dubitzky, German Cancer Research Center |
| 11:30-12:00 |
Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosis
Kyu-Baek Hwang, Seoul National University, Korea |
| 12:00-12:40 |
Panel Discussion
Moderator: Jeff Vittter, Duke University |
| 12:40-2:00 |
Lunch/ Poster/ Vendor Fair |
| 2:00-2:30 |
Computational Analysis of Leukemia Microarry Expression Data Using the GA/KNN Method and Other Existing Tools
Leping Li, National Institute of Environmental Health Sciences |
| 2:30-3:00 |
How Many Genes Are Needed for a Discriminant Microarray Data Analysis?
Wentian Li, Rockefeller University |
| 3:00-3:30 |
Classification of Acute Leukemia Based on Gene Expression from DNA Microarrays Using Partial Least Squares
Danh V. Nguyen, University of California, Davis |
| 3:30-3:50 |
Coffee Break |
| 3:50-4:20 |
Exploring Class Prediction for Leukemia Gene Expression Data
Alex Smith, Memorial Sloan-Kettering Cancer Center |
| 4:20-4:50 |
Panel Discussion
Moderator: Alan Karr, National Institute of Statistical Science |
| 5:00-6:30 |
Reception/ Poster(poster presenters will be there) |
Tuesday, DECEMBER 19, 2000
| 7:30-8:30 |
Breakfast / Equipment test for oral presenters |
| 8:30-9:10 |
Keynote. Interpretation of microarray data: expression profiling and biological annotation
Gavin Sherlock, Stanford University |
| 9:10-9:40 |
Using non-parametric methods in the context of multiple testing to determine differentially expressed genes.
Greg Grant, University of Pennsylvania |
| 9:40-10:10 |
Classical Statistical Approaches to Molecular Classification of Cancer using Microarray Technology
J. Lu, N.C. State University |
| 10:10-10:30 |
Coffee Break |
| 10:30-11:00 |
A Ranking Method to Improve Detection of Disease Using Selectively Expressed Genes in Microarray Data.
Virginie Aris, New Jersey Institute of Technology |
| 11:00-11:30 |
Panel Discussion
Moderator: Judith Lessler, Research Triangle Institute |
| 11:30-1:00 |
Lunch/ Poster(poster presenters will be there) |
| 1:00-1:30 |
Iterative linear regression by sector: renormalization of cDNA microarray data and cluster analysis weighted by cross homology
David B. Finkelstein, Stanford University |
| 1:30-2:00 |
Applying Classification Separability Analysis to Microarray Data
Zhen Zhang, Medical University of South Carolina |
| 2:00-2:30 |
HCV: A Microarray Data Visualization Tool Integrating Biological Information and Expression Data
Ron Blackman, Millennium Pharmaceuticals, Inc. |
| 2:30-2:50 |
Coffee Break |
| 2:50-3:20 |
Panel Discussion
Moderator: Cindy Afshari, National Institute of Environment Science |
| 3:20-3:40 |
Voting for the Best Presentation |
| 3:40-4:20 |
Closing Remarks: The future of Genomics
Athel Cornish-Bowden, CNRS, France |
| 4:20-4:30 |
Award Presentation
John Harer, Vice-Provost, Duke University |
Sponsors:
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