NISS Affiliates Technology Day: Statistical Issues in Proteomics

Thursday, March 6, 2003 - 7:30am to 4:30pm

Purpose: This Technology Day will address statistical issues in analyzing proteomics data for the early detection of disease. An example is detecting ovarian and prostate cancer from trace amounts of marker proteins. Participants will gain a better understanding of the current state of the field, its potential for future development, and the analytical challenges that face researchers.

8:30-8:40 AM Welcome and Introduction,  Alan F. Karr, Director, NISS

8:40-9:30 Early Discovery of Ovarian Cancer,  Emmanuel Petricoin, U.S. FDA

9:30-10:10 Mass Spectrometry-The Technology, Herbert Thiele, Bruker Daltonics

10:10-10:30 Break

10:30-11:10 Mass Spectrometry-Statistical Issues, Walter Liggett, NIST

11:10-11:50 Genetic Algorithm for Variable Selection, Jennifer Pittman, Duke University

11:50-12:30 PM Classification and Clustering of High Dimensional Data,  David Banks, U.S. FDA

12:30-1:20 Lunch Discussion

1:20-2:00 Modern Proteomics, Scott Schmidler, Duke University

2:00-2:40 Large, Two-Way Arrays,  Doug Hawkins, University of Minnesota

2:40-3:20 Statistical Issues in Proteomics, Francoise Seillier-Moiseiwitsch, UMBC

3:20-3:40 Break

3:40-4:20 Example Analysis 1, Russ Wolfinger, SAS Institute

4:20-5:00 Example Analysis 2, Kwan Lee, GlaxoSmithKline

5:00-5:30 General Discussion

Event Type


Radisson Hotel, Research Triangle Park, NC
United States