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  Robustness analysis, prediction, and estimation for uncertain biochemical networks: An overview

Streif, S., Kim, K.-K.-K., Rumschinski, P., Kishida, M., Shen, D. E., Findeisen, R., et al. (2016). Robustness analysis, prediction, and estimation for uncertain biochemical networks: An overview. Journal of Process Control, 42, 14-34. doi:10.1016/j.jprocont.2016.03.004.

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 Creators:
Streif, Stefan1, Author
Kim, Kwang-Ki K.2, Author
Rumschinski, Philipp3, 4, Author           
Kishida, Masako3, Author
Shen, Dongying Erin5, Author
Findeisen, Rolf3, Author
Braatz, Richard D.5, Author
Affiliations:
1Technische Universität Chemnitz, 09107 Chemnitz, Germany, ou_persistent22              
2Georgia Institute of Technology, Atlanta, GA 30308, USA, ou_persistent22              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
4International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              
5Massachusetts Institute of Technology, Cambridge, MA 02139, USA, ou_persistent22              

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Language(s): eng - English
 Dates: 2016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jprocont.2016.03.004
 Degree: -

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Title: Journal of Process Control
Source Genre: Journal
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Publ. Info: Guildford, Surrey, UK : Elsevier
Pages: - Volume / Issue: 42 Sequence Number: - Start / End Page: 14 - 34 Identifier: ISSN: 0959-1524
CoNE: https://pure.mpg.de/cone/journals/resource/954925577057