3. Fundamentals of cell modeling¶
- 3.1. Data aggregation
- 3.2. Input data organization
- 3.3. Model design
- 3.4. Model calibration
- 3.5. Model representation
- 3.6. Model annotation
- 3.7. Model composition
- 3.8. Mathematical representations and simulation algorithms
- 3.8.1. Boolean/logical models
- 3.8.2. Ordinary differential equations (ODEs)
- 3.8.3. Stochastic simulation
- 3.8.4. Network-free simulation
- 3.8.5. Flux balance analysis (FBA)
- 3.8.6. Hybrid/multi-algorithmic simulation
- 3.8.7. Reproducing stochastic simulations
- 3.8.8. Simulation descriptions
- 3.8.9. Software tools
- 3.8.10. Exercises
- 3.9. Model testing
- 3.10. Logging simulation results
- 3.11. Organizing simulation results
- 3.12. Quickly analyzing large simulation results
- 3.13. Rule-based Modeling with BioNetGen, BNGL, and RuleBender