Microarray experiments are costly - both in time and resources, making the careful design of experiments to generate useful gene expression data for diagnostics, target identification, screening, genotyping and other applications critical. The first and most important goal still is to design microarray experiments that yield statistically defensible results. The generation of such useful data requires effective communication between those designing and running the experiments, with those analyzing the data, to those database developers who facilitate the data handling. CHI's 6th Annual Microarray Data Analysis and Interpretation is designed to provide perspectives from each specialty, with an emphasis on how they can be integrated into a cohesive, comprehensive team to better decipher biologic pathways and determine the total “omic” picture.
New Tools for a New Era in Genome Based
Stephen E. Lincoln, Ph.D., Vice President, Informatics, Affymetrix
Array Technologies for Pathogen Detection
Using Classical Statistics & Experiment Design, Reduce
Noise in Your Next Microarray Experiment
Taking Multivariate Statistical Methods out of the Black Box
Advanced Methods for Microarray Analysis
Mr. Thomas J. Downey, Partek, Inc.
Dr. David L. Gerhold, Merck & Co.
Dr. Georges G. Grinstein, University of Massachusetts-Lowell
Dr. Kenton D. Juhlin, Procter & Gamble
Dan E. Arking, Johns Hopkins University School of Medicine
Thomas J. Downey, Partek, Inc.
Richard Einstein, ExonHit Therapeutics, Inc.
Levi A. Garraway, Dana-Farber Cancer Institute
David L. Gerhold, Merck & Co.
Shelly Gunn, UTHSC at San Antonio
Thomas LaFramboise, Ph.D., The Broad Insitute of Harvard to Case Western Reserve University School of Medicine
Stephen E. Lincoln, Affymetrix
Paul Meltzer, NHGRI/NIH
Mansoor S. Mohammed, CombiMatrix Molecular Diagnostics
Mark Porter, MS, Gene Logic Inc.
Moshe Pritsker, Massachusetts General Hospital
Maryam Farzad, Agilent Technologies
Hugh Salamon, Berlex Biosciences
Dr. Meredith Yeager-Jeffery, Scientific Director, Core Genotyping Facility, NIH
S. Stanley Young, National Institute of Statistical Sciences
Jean C. Zenklusen, NIH/NCI
Chaolin Zhang, Cold Spring Harbor
Copy Number Analysis