Difference between revisions of "A comparison of methods for quantifying prediction uncertainty in systems biology"

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=== Summary ===
 
=== Summary ===
Three methods for quantifying prediction uncertainty in ODE models are assessed. Prediction uncertainty refers to the uncertatinty of state variables not.
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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 ===
 
=== Study outcomes ===

Revision as of 11:58, 25 February 2020

Citation

Villaverde, Alejandro F., et al. "A comparison of methods for quantifying prediction uncertainty in systems biology." IFAC-PapersOnLine 52.26 (2019): 45-51.

Permanent link to the paper

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

List the paper results concerning method comparison and benchmarking:

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.