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Research Seminar - Identifiability and Inference in Cell Biology
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- 1 Intro
- 2 Research focus
- 3 Challenges of quantitative data
- 4 The inverse problem
- 5 Drosophila egg chamber
- 6 Compartment-based model
- 7 Typical behaviour of the solution
- 8 Parameter inference
- 9 RNA complex assembly
- 10 Quasi-steady distribution
- 11 Transport strongly biased
- 12 Dynamic regime
- 13 Over-expression mutant
- 14 Model predictions
- 15 Robustness of accumulation
- 16 Other mechanisms at play? . Could be a range of mechanisms at play that engender robustness to the system
- 17 Model comparison
- 18 Experimental data
- 19 Model building and identifiability
- 20 Mathematical models
- 21 Identifiability analysis Approach
- 22 MCMC results - Model 1
- 23 Profile likelihood analysis
- 24 Take-home message
- 25 Summary
- 26 Acknowledgements
