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Doc: Update tutorial references (#497)
Add reference to original model publication
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doc/tutorial.rst

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PEtab Tutorial
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==============
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.. _Boehm et al. (2014): https://dx.doi.org/10.1021/pr5006923
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Overview
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++++++++
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In the following, we demonstrate how to set up a parameter estimation
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problem in PEtab based on a realistic application example. To this end,
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we consider the model and experimental data by
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`Boehm et al. (2014) <https://pubs.acs.org/doi/abs/10.1021/pr5006923>`_. The
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`Boehm et al. (2014)`_. The
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model describes the dynamics of phosphorylation and dimerization of the
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transcription factors STAT5A and STAT5B. A visualization and the
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corresponding reactions of the model are provided below, although the
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details of the model are not relevant for the purpose of this tutorial.
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For more details, we refer to the original publication (Boehm et al.,
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2014).
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For more details, we refer to the original publication.
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A PEtab problem consists of 1) an SBML model of a biological system, 2)
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condition, observable and measurement definitions, and 3) the
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2. Linking model and measurements
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+++++++++++++++++++++++++++++++++
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The model by Boehm et al. (2014) was calibrated on measurements on
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The model by `Boehm et al. (2014)`_ was calibrated on measurements on
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phosphorylation levels of STAT5A and STAT5B as well as relative STAT5A
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abundance for different timepoints between 0 - 240 minutes after
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stimulation with erythropoietin (Epo):
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3. Defining parameters
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++++++++++++++++++++++
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The model by Boehm et al. (2014) contains nine unknown parameters that
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The model by `Boehm et al. (2014)`_ contains nine unknown parameters that
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need to be estimated from the experimental data. Additionally, it has
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two known parameters that are fixed to literature values.
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.. [#f1]
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TSV files can be created using any standard spreadsheet application,
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or for small files, text editor.
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References
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++++++++++
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* Martin E. Boehm, Lorenz Adlung, Marcel Schilling, Susanne Roth,
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Ursula Klingmüller, and Wolf D. Lehmann.
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*Journal of Proteome Research* **2014** 13 (12), 5685-5694.
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DOI: `10.1021/pr5006923 <https://dx.doi.org/10.1021/pr5006923>`_.

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