Within the genetic algorithm search process, the full fitness model is progressively replaced with the periodically (re trained adaptive neural network metamodel where (re training is done using the data collected by calling the full model.
On the right of the accepted energy graph and below the RMSD graph, the results from these two functions are used to produce an energy vs. RMSD plot as the model is progressively refined.
Using dedicated experiments, the models were progressively refined until it was possible not just to explain the experimental data but predict the VS system behaviour.
The presentation of the model was progressively made with increasing degrees of complexity as a consequence of the model assumptions that were being considered.
Thus, these three models are progressively smaller subsets of the E. coli K-12 model.
Statistical models were progressively adjusted to evaluate the potential confounding effect of different groups of variables.
Quantitative systems pharmacology (QSP) models are progressively entering the arena of contemporary pharmacology.
Nearly twenty such models have been built so far [ 2], typically through extensive curation work, and, for some of them, through iterative refinement processes where models were progressively improved by comparison with experimental datasets [ 4].
Statistical models were progressively adjusted for age (continuous), education (< high school, high school, > high school), living region (metropolitan/urban/rural), BMI (continuous), smoking status (never/former/current), alcohol intake (never/former/current), and blood lead (log transformed).
The models are progressively more inclusive, building from one main effect QTL up to the maximum (as estimated from initial 1D and 2D scans) and then stepping back down to one main effect QTL. Model outputs are compared by a penalized LOD (pLOD) score, which are calculated at each step and the model with the highest pLOD score is taken as the best fit to the data.
