Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

@article{Raue2009StructuralAP,
  title={Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood},
  author={Andreas Raue and Clemens Kreutz and Thomas Maiwald and Julie Bachmann and Marcel Schilling and Ursula Klingm{\"u}ller and Jens Timmer},
  journal={Bioinformatics},
  year={2009},
  volume={25 15},
  pages={1923-9}
}
MOTIVATION Mathematical description of biological reaction networks by differential equations leads to large models whose parameters are calibrated in order to optimally explain experimental data. Often only parts of the model can be observed directly. Given a model that sufficiently describes the measured data, it is important to infer how well model parameters are determined by the amount and quality of experimental data. This knowledge is essential for further investigation of model… CONTINUE READING
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