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

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.

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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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 Creators:
Flassig, Robert1, Author              
Migal, Iryna1, Author              
van der Zalm, Esther, Author
Rihko-Struckmann, Liisa1, Author              
Sundmacher, Kai1, 2, Author              
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2015
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.1186/s12859-014-0436-5
Other: 1/15
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Title: BMC Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 16 Sequence Number: 13 Start / End Page: - Identifier: -