DYLISS: Dynamics, Logics and Inference for biological Systems and Sequences

most citedRevisiting the Training of Logic Models of Protein Signaling Networks with a Formal Approach based on Answer Set Programming

23 citations

researchers with a paper here

A. Siegel1 · h 25
Carito Guziolowski1
Federica Eduati1
J. Sáez-Rodríguez1
N. Grabe1
S. Thiele1
S. Videla1

collaborating institutions

Centre Inria de l'Université de RennesFR1 paper
Centre National de la Recherche ScientifiqueFR1 paper
École Centrale de NantesFR1 paper
European Bioinformatics InstituteGB1 paper
Heidelberg UniversityDE1 paper
Institut de Recherche en Informatique et Systèmes AléatoiresFR1 paper
Institut national de recherche en sciences et technologies du numériqueFR1 paper
National Center for Tumor DiseasesDE1 paper
Université de RennesFR1 paper
University of PaduaIT1 paper
University of PotsdamDE1 paper
Wellcome TrustGB1 paper

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q-bio.QM2012★ 23 cited

Revisiting the Training of Logic Models of Protein Signaling Networks with a Formal Approach based on Answer Set Programming

Santiago Videla, Carito Guziolowski, Federica Eduati +4

A fundamental question in systems biology is the construction and training to data of mathematical models. Logic formalisms have become very popular to model signaling networks bec…