Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming

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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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Detalles Bibliográficos
Autores principales: Guziolowski, Carito, Videla, Santiago, Eduati, Federica, Thiele, Sven, Cokelaer, Thomas, Siegel, Anne, Saez-Rodriguez, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3753570/
https://www.ncbi.nlm.nih.gov/pubmed/23853063
http://dx.doi.org/10.1093/bioinformatics/btt393
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