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The superset of data collected was analyzed for the impact of microsomal binding, using Langmuir and phase equilibrium binding models, and fitted to various inhibition models: competitive, noncompetitive, and mixed.
By reducing models to a minimum number of parameters and equations, using detailed biophysical data we can reduce the number of free parameters that can then be efficiently fitted when these cellular models are embedded within whole organ models and fitted to compatible data.
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Additional components come with the upgraded models and fit neatly much the same way as the original components.
So when you're casting models and fitting them for a fashion show, it is really about sculpting the piece directly on them.
Biosensor data were collected, modeled and fitted by means of BIAevaluation 3.1 software (Biacore, Uppsala, Sweden).
They used ordinal regression and a hierarchical approach based on latent variable modeling and fitted their model by Bayesian methods.
The spectrum can now be modeled and fit.
The modeling and fitting tool Sherpa is central to the CIAO system.
The spectrum can then be loaded into sherpa for modeling and fitting.
Users can now proceed directly to model and fit the data.
The Fitting Grating Data thread shows how to load the data and responses, define a model, and fit the spectra.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com