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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 437094, 14 pages
Research Article

Identification of Crucial Parameters in a Mathematical Multiscale Model of Glioblastoma Growth

1Institute of Medical Engineering, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany
2Graduate School for Computing in Medicine and Life Sciences, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany
3Institute for Computational Engineering and Sciences, University of Texas at Austin, 201 East 24th Street, Stop C0200, Austin, TX 78712-1229, USA
4Centre of Excellence for Technology and Engineering in Medicine (TANDEM), Ratzeburger Allee 160, 23562 Luebeck, Germany

Received 16 January 2014; Accepted 22 March 2014; Published 8 May 2014

Academic Editor: Volkhard Helms

Copyright © 2014 Tina A. Schuetz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The supplementary material provides the complete results of the sensitivity coefficient calculations for all model parameters. For each parameter modification and each of the four system endpoints the corresponding sensitivity coefficients are presented in form of figures comparable to Figure 4 of the article.

  1. Supplementary Materials