Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Optimal Experiment Design, Signal Transduction Pathways

Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_1226

Definition

 Optimal experiment design is a key component for building accurate models of  signal transduction pathways (Kreutz and Timmer 2009). Since experiment design is conducted prior to  parameter estimation, any experiment design procedure needs to explicitly be able to deal with parameter uncertainty.

For a mathematical definition of optimal experiment design, assume that a regression model is given by
$$ {\mathbf{y}} = {\mathbf{g}}\left( {{\mathbf{\theta }};{\mathbf{\xi }}} \right) $$
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References

  1. Atkinson AC, Donev AN, Tobias RD (2007) Optimum experimental designs, with SAS. Oxford University Press, EnglandGoogle Scholar
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  3. Chu YF, Hahn J (2010) Quantitative optimal experimental design using global sensitivity analysis via quasi-linearization. Ind Eng Chem Res 49(17):7782–7794Google Scholar
  4. Huang ZY, Chu YF, Hahn J (2010) Model simplification procedure for signal transduction pathway models: an application to IL-6 signaling. Chem Eng Sci 65(6):1964–1975Google Scholar
  5. Kreutz C, Timmer J (2009) Systems biology: experimental design. FEBS J 276(4):923–942PubMedGoogle Scholar
  6. Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, Saisana M, Tarantola S (2008) Global sensitivity analysis. The primer. Wiley, EnglandGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.Artie McFerrin Department of Chemical EngineeringTexas A&M UniversityCollege StationUSA