Difference between revisions of "A comparison of methods for quantifying prediction uncertainty in systems biology"
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Revision as of 12:00, 25 February 2020
Contents
Citation
Villaverde, Alejandro F., et al. "A comparison of methods for quantifying prediction uncertainty in systems biology." IFAC-PapersOnLine 52.26 (2019): 45-51.
Summary
Three methods for quantifying prediction uncertainty in ODE models are assessed. Prediction uncertainty does not refer to estimated parameters, but to the uncertatinty of state trajectories.
Study outcomes
Outcome O1
The performance of ...
Outcome O1 is presented as Figure X in the original publication.
Outcome O2
...
Outcome O2 is presented as Figure X in the original publication.
Outcome On
...
Outcome On is presented as Figure X in the original publication.
Further outcomes
If intended, you can add further outcomes here.
Study design and evidence level
General aspects
You can describe general design aspects here. The study designs for describing specific outcomes are listed in the following subsections:
Design for Outcome O1
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
Design for Outcome O2
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
...
Design for Outcome O
- The outcome was generated for ...
- Configuration parameters were chosen ...
- ...
Further comments and aspects
References
The list of cited or related literature is placed here.
