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Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions

MPS-Authors
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Flassig,  Robert
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Migal,  Iryna
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Rihko-Struckmann,  Liisa
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher,  Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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2079309_flassig.pdf
(Publisher version), 2MB

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Citation

Flassig, R., Migal, I., van der Zalm, E., Rihko-Struckmann, L., & Sundmacher, K. (2015). Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions. BMC Bioinformatics, 16: 13. doi:10.1186/s12859-014-0436-5.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0024-9C4F-9
Abstract
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