DIMACS Workshop on Discrete Mathematical Problems in Computational Biomedicine

April 18 - 20, 2007
DIMACS Center, CoRE Building, Rutgers University

Jie Wang, University of Massachusetts, wang@cs.uml.edu
Weili Wu, University of Texas, weiliwu@utdallas.edu
Presented under the auspices of the DIMACS/BioMaPS/MB Center Special Focus on Information Processing in Biology.

How to process very large volumes of high-dimensional data and discover vital information contained in those data are among the most challenging issues in computational biomedicine. These data could be experimental data in protein structures, spatial-temporal data in medical imaging, and DNA sequences in human genome database, to name just a few. Mathematical modeling and computer technologies are playing important roles in this investigation. We are particularly interested in discrete mathematical problems and modeling in high-dimensional data clustering algorithms, high-dimensional data mining techniques, and high-dimensional spatial-temporal data storage for fast information retrievals.

This workshop provides a forum for researchers and practitioners to meet and exchange research ideas and interests, as well as to discuss new directions and identify open problems in the development and deployment of this area.

Next: Call for Participation
Workshop Index
DIMACS Homepage
Contacting the Center
Document last modified on June 7, 2006.