Hierarchical optimization for the efficient parametrization of ODE models
Contents
1 General Information
C Loos, S Krause, J Hasenauer (2013) : Hierarchical optimization for the efficient parametrization of ODE models Bioinformatics, Volume 34, Issue 24, Pages 4266–4273.
https://doi.org/10.1093/bioinformatics/bty514
1.1 Summary
Briefly describe the scope of the paper, i.e. the field of research and/or application.
1.2 Study outcomes
List the paper results concerning method comparison and benchmarking:
1.2.1 Outcome O1
The performance of ...
Outcome O1 is presented as Figure X in the original publication.
1.2.2 Outcome O2
...
Outcome O2 is presented as Figure X in the original publication.
1.2.3 Outcome On
...
Outcome On is presented as Figure X in the original publication.
1.2.4 Further outcomes
If intended, you can add further outcomes here.
1.3 Study design and evidence level
1.3.1 General aspects
You can describe general design aspects here. The study designs for describing specific outcomes are listed in the following subsections:
1.3.2 Design for Outcome O1
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
1.3.3 Design for Outcome O2
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
...
1.3.4 Design for Outcome O
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
1.4 Further comments and aspects
1.5 References
The list of cited or related literature is placed here.