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Computer Modeling and Simulation, International Conference on (2009)
Mar. 25, 2009 to Mar. 27, 2009
ISBN: 978-0-7695-3593-7
pp: 200-205
We present a new method for estimating rate coefficients from noisy observations of concentration levels at discrete time points. Our inference method is based on a new maximum likelihood approach to the estimation of probability density function of the variations in reactant concentration. The inference procedure returns the rate coefficients with their intervals of confidence, and the variance of noise in the input data.
parameter inference, biochemical networks
Paola Lecca, Alida Palmisano, Corrado Priami, "Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration", Computer Modeling and Simulation, International Conference on, vol. 00, no. , pp. 200-205, 2009, doi:10.1109/UKSIM.2009.18
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