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The constraint-based modeling approach enables the development of genome-scale in silico models that can predict the behavior of complex biological systems and their responses to the environments.
For the cellular level we showed the first simple model of MS which uses the agent based modeling approach.
We also recognize the fact, that a grammar based modeling approach may not be suited for very irregular architectural structures.
The technique of forest tree height retrieval utilized PolInSAR coherence based modeling approach.
This allows us to use the "in silico" stochastic event based modeling approach to find the molecular dynamics of the system.
Here, we present a methodology to investigate brain disposition in rats using a physiologically based modeling approach aiming at improving the prediction of human brain exposure.
The heat map coloring should be considered as complementary to structure based modeling approaches.
The agent based modeling approaches handle entity heterogeneity and physical space.
Our multipronged modeling approach enables simultaneous monitoring and optimization of thermodynamic, economic and environmental performance.
In particular, our modeling approach enables distinguishing between plastic and evolutionary responses to fishing.
This translational modeling approach enables the ability to select the optimal drug combinations and optimal dosing regimen for further exploration.
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