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CAMDA 2000 Conference Agenda

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:
The Scientist North Carolina Biotechnology Center Lab-on-a-Chip The Research Place Duke Center for Bioinformatics and Gene Tec Coorporation John Harer: Vice Provost for Academic Affairs at Duke University

Last modified on 01/21/2004 16:44:53

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