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Team:BCCS-Bristol/Modeling
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== Models == | == Models == | ||
| - | *[[Team:BCCS-Bristol/Modeling-GRN|'''Gene Regulatory Networks (GRNs)''']] | + | *[[Team:BCCS-Bristol/Modeling-GRN|'''Gene Regulatory Networks (GRNs)''']] - To understand the dynamics of genetic networks that we design differental equations are used to model the changes in concentrations of mRNA and proteins. |
*[[Team:BCCS-Bristol/Modeling-Agent_Based|'''Stochastic Agent Based Simulation''']] | *[[Team:BCCS-Bristol/Modeling-Agent_Based|'''Stochastic Agent Based Simulation''']] | ||
*[[Team:BCCS-Bristol/Modeling-Hybrid|'''Hybrid Model''']] - With the aim of improving simulation accuracy this model will integrate the intercellular GRN dynamics with the extra cellular interactions of the stochastic agent based simulation. In theory this should lead to agents that behave in a more realistic manner when integrating the sensory information from their environment. | *[[Team:BCCS-Bristol/Modeling-Hybrid|'''Hybrid Model''']] - With the aim of improving simulation accuracy this model will integrate the intercellular GRN dynamics with the extra cellular interactions of the stochastic agent based simulation. In theory this should lead to agents that behave in a more realistic manner when integrating the sensory information from their environment. | ||
Revision as of 20:27, 12 August 2008
  
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Contents |
Approach
Modelling Notebook
- Progress Report - To track our progress see our weekly reports which let you know what we have been up to with comments on the reasons behind any important decisions.
- Modelling Parameters - Full listings of all parameters investigated for the modelling part of the project, with values that have been chosen, reasons for their selection and references to the original sources.
Models
- Gene Regulatory Networks (GRNs) - To understand the dynamics of genetic networks that we design differental equations are used to model the changes in concentrations of mRNA and proteins.
- Stochastic Agent Based Simulation
- Hybrid Model - With the aim of improving simulation accuracy this model will integrate the intercellular GRN dynamics with the extra cellular interactions of the stochastic agent based simulation. In theory this should lead to agents that behave in a more realistic manner when integrating the sensory information from their environment.
Results
Modelling Photo Album
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