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  On the impact of discreteness and abstractions on modelling noise in gene regulatory networks

Bodei, C., Bortolussi, L., Chiarugi, D., Guerriero, M. L., Policriti, A., & Romanel, A. (2015). On the impact of discreteness and abstractions on modelling noise in gene regulatory networks. Computational Biology and Chemistry, 56, 98-108. doi:10.1016/j.compbiolchem.2015.04.004.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-BE33-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-BE34-1
Genre: Journal Article

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 Creators:
Bodei, Chiara1, Author
Bortolussi, Luca1, Author
Chiarugi, Davide2, Author              
Guerriero, Maria Luisa1, Author
Policriti, Alberto1, Author
Romanel, Alessandro1, Author
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1external, ou_persistent22              
2Angelo Valleriani, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_1863324              

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 Dates: 2015-06
 Publication Status: Published in print
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Title: Computational Biology and Chemistry
Source Genre: Journal
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Publ. Info: Elsevier Ltd.
Pages: - Volume / Issue: 56 Sequence Number: - Start / End Page: 98 - 108 Identifier: Other: 1476-9271
CoNE: https://pure.mpg.de/cone/journals/resource/1476-9271