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Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming
Motivation: Logic modeling is a useful tool to study signal transduction across multiple pathways. Logic models can be generated by training a network containing the prior knowledge to phospho-proteomics data. The training can be performed using stochastic optimization procedures, but these are unab...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3753570/ https://ncbi.nlm.nih.gov/pubmed/23853063 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt393 |
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