University of Minnesota
University of Minnesota

Working seminar: Probabilistic methods in bioinformatics

Date/Time: Thursdays at 2 pm, February 28, 2008
Location: IMA conference room, Lind Hall Room 409 (207 Church Street SE)
Organizer: Christopher J. Lee, Department of Chemistry & Biochemistry, UCLA (Visiting Faculty at IMA)

Purpose: to discuss challenges arising from the analysis of massive datasets such as high-throughput genomics or proteomics data, and probabilistic methods for analyzing them.

Chris will provide some useful introduction to various topics in each session, but leave the time open for informal discussion.

Initial discussion: Introduction to the challenges of high-throughput data analysis in "post-genomic" biology, and methods of statistical inference used to solve these problems.

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