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 |