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Keynote Speaker

Affiliation

Title

Russ Wolfinger SAS Institute, Inc. Extending Graybill's Legacy to Microarray Data and Beyond

 

Invited Speakers

Affiliation

Title

David Allison Statistical Genetics
University of Alabama-Birmingham
Applying High-Dimensional Approaches to Microarray Research
Jenny Bryan Biotechnology Laboratory & Department of Statistics
University of British Columbia
Resampling to assess significance of gene clusters
Jane Chang  Dept. of Applied Statistics and Operations Research 
Bowling Green State University
Design and Analysis of 2-Channel Microarry Experiments
Philip Dixon Department of Statistics
Iowa State University
Modeling nucleotide sequence variation in a viral quasispecies
Kent Eskridge Biometry, 
University of Nebraska
Field Design and Analysis in the Search for Quantitative Trait Loci in Plants
Deborah Glueck Department of Preventive Medicine and Biometrics
University of Colorado Health Sciences Center
Exact power under independence for the false discovery rate in gene epression array experiments
David L. Gold M.D. Anderson Cancer Center
The University of Texas
Graphically Displaying Partitions of Variation in Microarray Data
Susan Hilsenbeck Baylor College of Medicine
Texas Medical Center
Pilot studies of components of technical variability and practical recommendations for study design
Lawrence Hunter Center for Computational Pharmacology, 
University of Colorado Health Sciences Center
Knowledge-based Interpretation of Gene Expression Array Studies
Rebecka Jornsten Department of Statistics
Rutgers University
Clustering, Classification and Validation via the L1 Data Depth
Steen Knudsen Center for Biological Sequence Analysis, BioCentrum-DTU 
Technical University  of Denmark
Bioinformatics Analysis of DNA Microarray Data
Laura Lazzeroni Biostatistics and Genetics
Stanford University
Results from the Distribution of the Number of False Positives: Examples from Microarrays
Chen-Tuo Liao Division of Biometry, Institute of Agronomy
National Taiwan University
Statistical Designs for cDNA Microarray Experiments
Peter Munson Mathematical and Statistical Computing Lab, National Institutes of Health Significance of Gene Expression Changes Using the "Consistency" Test
Dan Nettleton Department of Statistics
Iowa State University
Identifying Differentially Expressed Genes in Unreplicated Multiple-treatment Time-course Microarray Experiments
Wei Pan Biostatistics 
University of Minnesota
Statistical Significance Analysis of Longitudinal Gene Expression Data
David M. Rocke Department of Applied Science and Division of Biostatistics
University of California-Davis
Measurement Errors and Data Transformation for Gene Expression Data, Proteomics Data, and Metabolomics Data
Grace Shieh Institute of Statistical Science, 
Academia Sinica, Taipei, Taiwan
Reconstructing Gene Networks from Microarray Data
Lue Ping Zhao Division of Public Health Sciences 
Fred Hutchinson Cancer Research Center
Building a Predictive Model Using Array Technologies with an Application to Breast Cancer

 

Student Paper or Poster

Affiliation

Title

Lai-Har Chi Dept. of Biochemistry
University at Buffalo (SUNY)
Identification of Gene Expression Changes in Skeletal Muscle from Diabetic and Normal Rats Treated by Oral Administration of Vanadyl Sulfate
Deepak Mav

Department of Mathematics and Statistics 
Old Dominion University

Bivariate models for identifying differentially expressed genes in microarray experiments
Annette Molinaro Division of Biostatistics
University of California, Berkeley
Prediction of Survival with Regression Trees and Cross-Validation
 

Graybill Conference
June 18-20, 2003
University Park Holiday Inn
Fort Collins, CO 80526
www.stat.colostate.edu/graybillconference
email: hari@stat.colostate.edu Fax: (970)491-7895 Phone: (970)491-5269
Last Updated: Thursday, June 12, 2003