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Activity Number:
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201
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #303382 |
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Title:
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Design of Experiments and Inference of Biochemical Networks
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Author(s):
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Reinhard Laubenbacher*+ and Brandilyn Stigler
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Companies:
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Virginia Bioinformatics Institute and Southern Methodist University
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Address:
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Washington St., Blacksburg, VA, 24061,
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Keywords:
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design of experiments ; biochemical network inference ; polynomial model
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Abstract:
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Design of experiments is a branch of statistics that aims to identify efficient procedures for planning experiments in order to optimize knowledge discovery. Network inference is a subfield of systems biology devoted to the identification of biochemical networks from experimental data. Common to both areas of research is their focus on the maximization of information gathered from experimentation. The goal of this talk is to establish a connection between these two areas coming from the common use of polynomial models and techniques from computational algebra.
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