Webcasts

Biotechnology makes possible the performance of thousands of experiments in the time it used to take to perform just one. This webcast describes a variety of data mining tasks arising from high-throughput biological data. Examples include gene expression microarrays, mass spectrometry for proteomics and metabonomics, single-nucleotide polymorphism arrays for genotyping, and robotic high-throughput screening for potential drug compounds. We will discuss the challenges of various data types and the technologies raised to address them. Case studies will be presented from a variety of data mining applications and we will speculate about novel data mining tasks likely to arise in the near future.

Speaker: David Page
Dept. of Biostatistics and Medical Informatics
Dept. of Computer Sciences
University of Wisconsin-Madison

David Page received his Ph.D. in computer science from the University
of Illinois at Urbana-Champaign. He was a research scientist in the
Oxford University Computing Laboratory and also served as a visiting
member of the Faculty of Mathematics. He is now an associate professor
at the University of Wisconsin, Madison, Dept. of Biostatistics and
Medical Informatics (College of Medicine and Public Health) and
Dept. of Computer Sciences. David was a founding member of the
Institute for Molecular Diversity and Drug Design, an inaugural member
of the U.S. National Institutes of Health study on Biodata Management
and Analysis, and is on the editorial boards of Data Mining and the
Machine Learning Journal.

May 3, 2007, 9 am PT, noon ET, 16:00 GMT. Duration: 1 hour

Register at https://kdd.webex.com/kdd/

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