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Computing attractors of multi-valued gene regulatory networks using fuzzy answer set programming

Mushthofa Mushthofa (UGent) , Steven Schockaert (UGent) and Martine De Cock (UGent)
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Bioinformatics: from nucleotids to networks (N2N)

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Chicago
Mushthofa, Mushthofa, Steven Schockaert, and Martine De Cock. 2016. “Computing Attractors of Multi-valued Gene Regulatory Networks Using Fuzzy Answer Set Programming.” In Computational Intelligence, IEEE World Congress, Proceedings. New York, NY, USA: IEEE.
APA
Mushthofa, M., Schockaert, S., & De Cock, M. (2016). Computing attractors of multi-valued gene regulatory networks using fuzzy answer set programming. Computational Intelligence, IEEE World congress, Proceedings. Presented at the 2016 IEEE World congress on Computational Intelligence (WCCI 2016), New York, NY, USA: IEEE.
Vancouver
1.
Mushthofa M, Schockaert S, De Cock M. Computing attractors of multi-valued gene regulatory networks using fuzzy answer set programming. Computational Intelligence, IEEE World congress, Proceedings. New York, NY, USA: IEEE; 2016.
MLA
Mushthofa, Mushthofa, Steven Schockaert, and Martine De Cock. “Computing Attractors of Multi-valued Gene Regulatory Networks Using Fuzzy Answer Set Programming.” Computational Intelligence, IEEE World Congress, Proceedings. New York, NY, USA: IEEE, 2016. Print.
@inproceedings{7235029,
  author       = {Mushthofa, Mushthofa and Schockaert, Steven and De Cock, Martine},
  booktitle    = {Computational Intelligence, IEEE World congress, Proceedings},
  language     = {eng},
  location     = {Vancouver, BC, Canada},
  pages        = {8},
  publisher    = {IEEE},
  title        = {Computing attractors of multi-valued gene regulatory networks using fuzzy answer set programming},
  year         = {2016},
}