The final model used reverse stepwise selection procedures in which all significant predictors of secondary transmission were included in the initial model and removed sequentially until only significant predictors (p<0.05) remained.
One possible solution shown in this study for bare gold nanoparticles is a novel advanced approach: EXAFS data modeling using reverse Monte Carlo and evolutionary algorithm methods.
Perturbation data (such as chemical inhibitors, stimuli, knock-downs, etc) can be used to generate network models using reverse engineering methods [ 14- 16].
In this report, we describe and evaluate a modern method to replicate an individual's anatomy as a physical, hand-held model by using reverse engineering and rapid prototyping stereolithography [6].
Model covariate selection in multivariate analysis was based upon quasi-likelihood under the independence model criteria (QIC) using reverse covariate selection.
To address this limitation, the plugin CNOFeeder allows to propose candidate links based on areas of the data that are poorly captured by the trained model, using multiple reverse engineering methods [ 50].
The impeller area was analyzed by designing a full-scale analytic model for sound field analysis using reverse engineering, including precise 3D modeling.
29 A curve is fitted to observed age seroprevalence data, most commonly using reverse catalytic models fit by maximum likelihood.
Once defined, the biological pathway altering concentration was then extrapolated using reverse toxicokinetic modeling to estimate the external dose required to achieve the internal dose that is equal to the biological pathway altering concentration, ultimately yielding a human dose equivalent that is required to cause toxicity.
If the covariance matrix of metabolite concentrations is measured (see "Proving the predictions metabolomics science" and Figs. 4, 5), Eq. 1 is furthermore the conceptual basis for the estimation of the Jacobian in the dynamic genome-scale metabolic network using reverse or inverse modelling and optimization approaches (for a review of inverse modelling approaches, see [ 37]).
