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  Modelling biological networks by action languages via answer set programming

Grell, S., Schaub, T., & Selbig, J. (2006). Modelling biological networks by action languages via answer set programming. In Twenty Second International Conference on Logic Programming (ICLP) (pp. 285-299). Springer, Heidelberg, Berlin.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-2A81-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-2A82-8
Genre: Conference Paper

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Grell-2006-Modelling biological.pdf (Any fulltext), 448KB
 
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 Creators:
Grell, S.1, Author
Schaub, T.1, Author
Selbig, J.2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              

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 Abstract: We describe an approach to modelling biological networks by action languages via answer set programming. To this end, we propose an action language for modelling biological networks, building on previous work by Baral et al. We introduce its syntax and semantics along with a translation into answer set programming. Finally, we describe one of its applications, namely, the sulfur starvation response-pathway of the model plant Arabidopsis thaliana and sketch the functionality of our system and its usage.

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Language(s): eng - English
 Dates: 2006
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: ISI:000240061200020
DOI: 10.1007/11799573_22
URI: ://000240061200020 http://download.springer.com/static/pdf/376/chp%253A10.1007%252F11799573_22.pdf?auth66=1360919942_c4c303b3f6945d3680091be32e4ae8de&ext=.pdf
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Title: Twenty Second International Conference on Logic Programming (ICLP)
Place of Event: Seattle, Washington, USA
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Title: Twenty Second International Conference on Logic Programming (ICLP)
Source Genre: Proceedings
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Publ. Info: Springer, Heidelberg, Berlin
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 285 - 299 Identifier: -