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

output

20112019

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. Siegel2 profiles4 · h 25
Timo Jolivet2 · h 6
V. Berthé2 · h 26
Carito Guziolowski1 · h 14
C. Frioux1 · h 15
F. Coste1 · h 1
Federica Eduati1 · h 8
François Coste1 · h 14
Hugo Talibart1
I. Moszer1 · h 31
J. Sáez-Rodríguez1 · h 58
Juliette Talibart1 · h 1

collaborating institutions

Institut de Recherche en Informatique et Systèmes AléatoiresFR4 papers
Centre Inria de l'Université de RennesFR3 papers
Centre National de la Recherche ScientifiqueFR3 papers
Institut national de recherche en sciences et technologies du numériqueFR2 papers
Laboratoire d'Informatique Algorithmique: Fondements et ApplicationsFR2 papers
Université de RennesFR2 papers
University of TurkuFI2 papers
ARAMIS: Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain sain et pathologiqueFR1 paper
Délégation Paris 7FR1 paper
École Centrale de NantesFR1 paper
European Bioinformatics InstituteGB1 paper
Heidelberg UniversityDE1 paper

Showing 2012Show all

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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…