Expression Arrays, Genetic Networks and Disease - IPAM

Expression Arrays, Genetic Networks and Disease

Part of the Long Program Functional Genomics
November 8 - 12, 2000

Schedule

All times in this Schedule are Pacific Time (PT)

Wednesday, November 8, 2000

Afternoon Session

Session On Pathways
14:00-15:00
Roland Somogyi (Molecular Mining Corporation)
From Genes to Dynamic Molecular Networks
15:00-15:20
Break
15:20-15:45
Joel Bader (Johns Hopkins University)
Deconvoluting gene expression profiles and overlaying gene expression networks with protein pathways
15:45-16:15
Amos Tanay (Tel-Aviv University, Israel)
Biological hypothesis generation by pathway expansion
16:15-16:45
Monica Nicolau (Stanford University / UC Berkeley)
A topological model for transcriptional gene interaction
16:45-17:30
Break
17:30-19:00
Mixer

Thursday, November 9, 2000

Morning Session

Session On Medical Applications
09:00-10:00
Timothy Triche (USC / CHLA)
Cancer biology applications of microarray technology
10:00-10:20
Break
10:20-10:45
Susan Hilsenbeck (Baylor College of Medicine)
Design of expression array studies for translation to the clinic
10:45-11:15
Jeremy Taylor (University of Michigan)
Regression modeling to assess association between gene expression data and clinical measures
11:15-11:45
Mei-Ling Lee (Harvard University)
Issues in medical studies involving microarrays
11:45-14:00
Lunch (on your own)

Afternoon Session

Session On Classification & Clustering
14:00-15:00
Richard Olshen (Stanford University)
Clustering, permutation testing, intermediate phenotypes and complex disease
15:00-15:20
Break
15:20-15:45
Amir Ben-Dor (Agilent Technologies)
From gene expression data to cancer class discovery
15:45-16:15
Amy Peng (The EMMES Corporation)
BRB Array Tools: an integrated package for the analysis of DNA microarray data
16:15-16:45
Steven Skiena (SUNY Stony Brook)
Analysis techniques for microarray time-series data
16:45-17:30
Break
17:30-19:00
Mexican Buffet (by reservation only)
19:00-20:00
Jean-Michel Claverie (CNRS, France)
From bioinformatics to computational biology

Friday, November 10, 2000

Morning Session

Session On Biological Applications
09:00-10:00
Michael Eisen (Lawrence Berkeley National Laboratory)
Computational approaches to making biological sense of genome-wide expression data
10:00-10:20
Break
10:20-10:45
Roland Stoughton (Rosetta Inpharmatics, Inc.)
Determining gene function with microarrays
10:45-11:15
Francoise Seillier-Moiseiwitsch (University of North Carolina)
Statistical methods in proteomics
11:15-11:45
Bud Mishra (Courant Institute of Mathematical Sciences)
Genomics via microarrays

Saturday, November 11, 2000

Morning Session

Session On Cancer
09:00-10:00
Michael Newton (University of Wisconsin)
A simple network model for cancer genome abnormalities
10:00-10:20
Break
10:20-10:45
Michael Radmacher (National Cancer Institute)
Class prediction based on gene expression data: issues in the design and analysis of experiments
10:45-11:15
Jae Lee (University of Virginia)
Analysis on gene expression data of the NCI's 60 cancer cell lines
11:15-11:45
Sandrine Dudoit (Stanford University)
Statistical methods for cancer cluster validation in microarray experiments
11:45-14:00
Lunch (on your own)

Afternoon Session

Session On Statistical Methods
14:00-15:00
Mike West (Duke University)
Bayesian binary regression modeling of outcomes based on microarray expression data
15:00-15:20
Break
15:20-15:45
Katie Kerr (Jackson Laboratory)
Title not available
15:45-16:15
Thomas Kepler (Santa Fe Institute)
Normalization and statistics for microarray data by self-consistency and local regression
16:15-16:45
Lue Ping Zhao (University of Washington/Fred Hutchinson Cancer Research Center)
Statistical modeling of microarray data to discover cell cycle dependent transcripts
16:45-17:30
Break
17:30-19:00
BBQ (by reservation only)

Sunday, November 12, 2000

Morning Session

Session On Classification & Clustering II
09:00-10:00
Kay Tatsuoka (SmithKlineBeecham)
A comparison of error models for gene expression data with applications to clustering
10:00-10:20
Break
10:20-10:45
Laura Lazzeroni (Stanford University)
Plaid models for two-way clustering of microarray data
10:45-11:15
William Noble (University of Washington)
Support vector methods for functional genomic analysis
11:15-11:45
Yuhai Tu (IBM Research)
Pattern discovery and statistics in gene expression analysis
Printable Version