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  Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation

Pinna, A., Heise, S., Flassig, R., de la Fuente, A., & Klamt, S. (2013). Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation. BMC Systems Biology, 7, 73. doi:10.1186/1752-0509-7-73.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-6382-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-9050-6
Genre: Journal Article

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1837080_heise.pdf (Publisher version), 776KB
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https://hdl.handle.net/11858/00-001M-0000-0014-6384-1
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2013 Pinna et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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http://creativecommons.org/licenses/by/2.0

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 Creators:
Pinna, Andrea1, Author
Heise, Sandra2, Author           
Flassig, Robert3, Author           
de la Fuente, Alberto4, Author
Klamt, Steffen2, Author           
Affiliations:
1Center of Advanced Studies, Bioinformatice, Pula, Italy, ou_1738139              
2Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139              
3Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
4Leibniz Institute For Farm Animal Biology, Dummerstorf, ou_1738139              

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1186/1752-0509-7-73
Other: 28/13
Other: pubdata_escidoc:1837080
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Title: BMC Systems Biology
Source Genre: Journal
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Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: 73 Identifier: ISSN: 1752-0509
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000225260