Methodology article
Efficient characterization of high-dimensional parameter spaces for systems biology
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
BMC Systems Biology 2011, 5:142 doi:10.1186/1752-0509-5-142
Published: 15 September 2011Additional 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.
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