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Apart from this, it is observed that the solution to stochastic modelling technique becomes complex when the number of power states in the model increases.
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Soon after that the strength of these modeling techniques became clear to the scientific community; many agent-based languages and frameworks that enabled creating agent-based applications were developed (see [ 19] for a review).
As modelling techniques have become increasingly sophisticated, a growing literature has dealt with the importance of acknowledging process error (or environmentally-driven variation in demographic parameters) in model analyses [3], [4], [5].
We used non-spatial modelling techniques.
At α = 1, the feature selection technique becomes rank-based.
Therefore, alternative modeling techniques like constraint optimization methods have become more and more popular during the last 15 years.
The modeling techniques we used in the analysis have become fairly standard in analysis of longitudinal data such as ours; these techniques properly account for the within-subject correlation in the repeated measures for each subject.
Considering different signal transduction models [ 10, 12, 20, 27] and modeling techniques [ 12, 19, 22, 16, 3] it becomes apparent that mostly a large number of occurring reactions is parametrized by a relatively small number of distinct kinetic parameters.
Constraint-based modeling techniques such as flux balance analysis (FBA) have become central to systems biology [ 1, 2], enabling a wealth of informative simulations of cellular metabolism.
Zelda's dedication to her ballet technique became consuming.
Her technique became known as the Betty Dodson Method.
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