Abstract
We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics we develop global nonlinear models which use elementary reactions as a basis set, and discuss model construction using top-down and bottom-up approaches.
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Crampin, E.J., McSharry, P.E., Schnell, S. (2004). Extracting Biochemical Reaction Kinetics from Time Series Data. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_42
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DOI: https://doi.org/10.1007/978-3-540-30133-2_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23206-3
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