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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: https://hdl.handle.net/11858/00-001M-0000-0027-BE33-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-E1AB-A
Genre: Journal Article

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 Creators:
Bodei, Chiara, Author
Bortolussi, Luca, Author
Chiarugi, Davide1, Author           
Guerriero, Maria Luisa, Author
Policriti, Alberto, Author
Romanel, Alessandro, Author
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1Angelo Valleriani, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_1863324              

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 Dates: 2015
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: ISI: 000356111800013
DOI: 10.1016/j.compbiolchem.2015.04.004
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Title: Computational Biology and Chemistry
Source Genre: Journal
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Publ. Info: Oxford : Elsevier Science
Pages: - Volume / Issue: 56 Sequence Number: - Start / End Page: 98 - 108 Identifier: ISSN: 1476-9271