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Showing 1 to 4 of 4 for “"Cell Cycle Models"”.
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Parameter Estimation in Biological Cell Cycle Models Using Deterministic Optimization
Cell cycle models used in biology can be very complex. These models have parameters with initially unknown values. The values of the parameters vastly aect the accuracy of the models in representing real biological cells. Typically people search for the best parameters to these models using …
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Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features
… the Network-Free Algorithm (NFA) for rule-based models. Numerical results are provided to show the performance improvement by our new methods. In the second part, we investigate two simulation schemes for the multi-scale feature: Haseltine and Rawlings\\\' hybrid method and the quasi-steady-state …
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Bridging the Gap between Deterministic and Stochastic Modeling with Automatic Scaling and Conversion
… the past decade, many successful deterministic models of macromolecular regulatory networks have been built. Deterministic simulations of these models can show only average dynamics of the systems. However, stochastic simulations of macromolecular regulatory models can account for behaviors that …
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The Art of Modeling and Simulation of Multiscale Biochemical Systems
… secretion pathway. We first expand the single cell model proposed by Bertram et. al. to model multiple cells. Synchronization among multiple cells is observed. Then an unhealthy cell model is proposed to study the insulin secretion failure caused by weakening of mitochondria function. By …