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Open Access Methodology article

Likelihood based observability analysis and confidence intervals for predictions of dynamic models

Clemens Kreutz12*, Andreas Raue17 and Jens Timmer123456

Author Affiliations

1 Physics Department, University of Freiburg, Hermann Herder Straße 3, 79104 Freiburg, Germany

2 Freiburg Centre for Biosystems Analysis (ZBSA), University of Freiburg, Habsburgerstraße 49, 79104 Freiburg, Germany

3 Freiburg Institute for Advanced Studies (FRIAS), University of Freiburg, Albertstraße 19, 79104 Freiburg, Germany

4 Freiburg Initiative in Systems Biology (FRISYS), University of Freiburg, Schaenzlestraße 1, 79104 Freiburg, Germany

5 BIOSS Centre for Biological Signalling Studies, University of Freiburg, Schaenzlestraße 18, 79104 Freiburg

6 Department of Clinical and Experimental Medicine, Universitetssjukhuset, 58183 Linköping, Sweden

7 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany

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BMC Systems Biology 2012, 6:120  doi:10.1186/1752-0509-6-120

Published: 5 September 2012

Additional files

Additional file 1:

[Kreutz12_SupplementalMaterial]. In the Supplemental Material, theoretical issues like re-parametrization of the model, coverage, or the accuracy of the asymptotically derived threshold are discussed in detail. Moreover, the computational implementation is described and additional analyses of the two models are provided.

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