Open Access Highly Accessed Methodology article

Efficient characterization of high-dimensional parameter spaces for systems biology

Elías Zamora-Sillero123*, Marc Hafner134, Ariane Ibig23, Joerg Stelling23 and Andreas Wagner1356

Author Affiliations

1 Department of Biochemistry, University of Zurich, Zurich, Switzerland

2 Department of Biosystems Science and Engineering, ETH Zurich, Zurich, Switzerland

3 Swiss Institute of Bioinformatics, Lausanne, Switzerland

4 School of Computer and Communication, EPFL, Lausanne, Switzerland

5 The Santa Fe Institute, Santa Fe, New Mexico, USA

6 Department of Biology, University of New Mexico, Albuquerque, New Mexico, USA

For all author emails, please log on.

BMC Systems Biology 2011, 5:142  doi:10.1186/1752-0509-5-142

Published: 15 September 2011

Additional files

Additional file 1:

Supplementary Information for "Efficient Characterization of High-Dimensional Parameter Spaces for Systems Biology". This document shows additional technical information about: • The calculation of minimum volume enclosing ellipsoids involved in OEAMC, MEBS, and the construction of the integration domain. • The determination of the number of clusters involved in the construction of the integration domain. • The acquisition of viable parameter points near the boundary of the viable space involved in the MEBS. • The choice of starting points for new ellipsoid expansions involved in MEBS. • The exploration and volume calculation of spherical shells. • The exploration exploration and volume calculation the viable space associated to biochemical oscillator model. • Characterization of the viable space of a model of the mammalian circadian oscillator with two feedback loops.

Format: PDF Size: 327KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data