Design of experiments and biochemical network inference

Details Design of experiments and biochemical network inference Design of experiments and biochemical network inference

2007-12-31

arxiv.org/abs/0801.0254v1

Biology

Quantitative Biology

Molecular Networks

To appear in "Algebraic and geometric methods in statistics," P. Gibilisco, E. Riccomagno, M.-P. Rogantin, H. P. Wynn, eds., C

Scientific paper

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 paper 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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