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The exact time is uncertain given the data used here but must be rapid to enable parameters of IRS – serine phosphorylation (in R12af) to produce the observed feedback inhibition of IRS1.
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Fitting statistical models to such data, to enable parameter estimation and time-series prediction, is an important computational primitive.
Here, this framework is exploited to enable parameter estimation using powerful and well-established techniques including: (i) Newton-type optimisation and (ii) principal-component-type (Hessian-based) uncertainty analysis.
To enable parameter optimisation locally in machines, this article presents a system architecture to generate information and knowledge from machine fleet data and to utilise them in machine operations in the field.
To enable parameter estimation, we reformulate the model entirely in terms of monomer concentrations.
Multiple imputation techniques available in standard statistical software [ 3, 4] enable parameter estimation under the assumption that missing data are missing at random (MAR), meaning that the missingness mechanism depends on observed data only, and given these no longer on the missing data [ 5].
It allows molecular dynamics threads to progress at different rates and enables parameter exchanges among arbitrary sets of replicas independently from other replicas.
Fig. 3 Graphical user interface (large panel on the left) enabling parameter optimization and job submission to a cluster facility for the reconstruction of full 3D volumes without the need for complex and error-prone command line activity.
A technique based on Latin hypercube sampling combined with a novel reweighting method was developed which enables parameter uncertainty and variability to be incorporated into a model-based framework for estimation of prevalence.
The procedures in which restraints are coded explicitly in terms of other structural parameters enable the Flack parameter to correlate with these other parameters, so that it is determined along with those parameters during refinement.
An effective implementation would be to enable these parameters to be varied to facilitate the interpretation of the analysis for complex environments.
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