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. 2015 Oct 29;9:74. doi: 10.1186/s12918-015-0219-2

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© Gábor and Banga. 2015

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 7 — Eigenvalues of the approximated Hessian matrix for each case study. Eigenvalues are related to the identifiability of the model parameters: a large spread indicates lack of identifiability of some parameters from the given dataset