|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration
March 25-March 27
ISBN: 978-0-7695-3593-7
| ASCII Text | x | ||
| 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, pp. 200-205, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/UKSIM.2009.18, author = {Paola Lecca and Alida Palmisano and Corrado Priami}, title = {Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration}, journal ={Computer Modeling and Simulation, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3593-7}, pages = {200-205}, doi = {http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.18}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Modeling and Simulation, International Conference on TI - Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration SN - 978-0-7695-3593-7 SP200 EP205 A1 - Paola Lecca, A1 - Alida Palmisano, A1 - Corrado Priami, PY - 2009 KW - parameter inference KW - biochemical networks VL - 0 JA - Computer Modeling and Simulation, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.18
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.
Index Terms:
parameter inference, biochemical networks
Citation:
Paola Lecca, Alida Palmisano, Corrado Priami, "Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration," uksim, pp.200-205, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009
Usage of this product signifies your acceptance of the Terms of Use.