DIMACS Workshop on Data Mining Techniques in Bioinformatics

October 30 - 31, 2003
DIMACS Center, CoRE Building, Rutgers University, Piscataway, NJ

Organizers:
Mona Singh, Princeton University, mona@cs.princeton.edu
Mark Gerstein, Yale University, Mark.Gerstein@yale.edu
Presented under the auspices of the Special Focus on Data Analysis and Mining and the Special Focus on Computational Molecular Biology.

In recent years, high-throughput experimental methods in molecular biology have resulted in enormous amounts of data, both in terms of volume and in terms of new types of data. In addition to complete genome sequences, we have gene expression data, protein structural data, protein-protein interaction data, and protein-DNA interaction data. Data mining techniques will play a large role in analyzing and integrating these large biological datasets, as well as in discovering the biological processes underlying these data.

The goal of this workshop is to bring together researchers in both data mining and bioinformatics, with the aim of exploring new techniques and insights for deciphering biological databases.


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Document last modified on July 9, 2003.