Summary of what I would like to show.
Description of "fake datasets"
These will include a description of each one with justifications of why it was chosen and why it was appropriate.
- Ring example
- Linearised Ring
- Linearised state space model
- Repressilator - Non-linear inference method?
Results of both algorithms coping with these datasets
- By increasing the noise
- By increasing the number of experiments