Meetings

Making Breakthroughs Possible in the Omics Revolution
3 full days filled with more than 30 speaker presentations!
August 18-20, 2004 | Ritz-Carlton Hotel | Washington, D.C.

Poster Competition: Cash awards will be given to the top two posters as judged by the scientific advisory committee. Poster Deadline July 28, 2004. Over 30 Posters presented in 2003.

Click Here To Register & Submit an Abstract. Register with a Poster and Save an Additional $50 Off Your Registration.

Click Here to view last year's program.

Total Microarray Data Analysis will feature session coverage of:

Data Quality -- Statistical Analysis -- Data Integration and Interpretation -- Pathway Analysis -- Applications in Biodefense -- Applications in Drug Discovery -- Standards and Validation Roundtable

Total Microarray Data Analysis features over 30 speaker presentations,
2 pre-conference tutorials, a poster competition, Keynote
presentations, and a Networking exhibit hall.


Plus attend one of the two Pre-Conference tutorials on August 17th.

Tutorial One: Integrated Data Mining and Visualization for Microarray Data Analysis

Dr. Georges Grinstein, Professor, Computer Science Department; Director, Institute for Visualization and Perception Research; Director, Center for Biomolecular and Medical Informatics, University of Massachusetts-Lowell

Dr. Gregory Piatetsky-Shapiro, President, KDnuggets; Research Associate Professor, Computer Science, University of Massachusetts-Lowell

This tutorial will provide the necessary background to understand the
issues in the development and use of integrated data mining and
visualization systems. Dr. Piatetsky-Shapiro will focus on data mining
technologies and Dr. Grinstein on visualization. They will provide a
brief history of data visualization and data mining, provide an
overview of the key algorithms and visualizations and examine sample
systems that integrate visualization and data mining for microarray
data analysis.

Why you should attend:

An opportunity to learn the current state of the art in data mining and visualization presented by two of the key leaders in the fields.

Who should attend:

Any scientist wanting to understand and see the role of some of the most used techniques in data mining and visualization in analyzing microarray data.

Tutorial Two: Experimental Design for Microarray Studies

Mr. Thomas J. Downey, President, Partek, Inc.

This workshop will show how to use experimental design to remove unwanted noise from a microarray study. Attendees will learn how to use completely randomized and randomized block designs to remove noise due to such nuisance effects as sample preparation batches, reagents and chip lots, etc. As a result of attending this workshop, the researcher will know how to design future experiments to produce data with less noise, no confounding of treatments with nuisance factors, and improved power to reliably detect differential expression due to treatment effects or disease.

Who should attend: The workshop is intended for scientists who conduct genomic experiments and wish to learn a statistics based approach for experiment design and for statisticians who wish to learn more about the significant sources of variability in a microarray experiment.

*For more information and to register, visit www.healthtech.com/2004/mda/index.asp