Revisiting the Training of Logic Models of Protein Signaling Networks with ASP. - Santiago Videla; Carito Guziolowski; Federica Eduati; Sven Thiele; Niels Grabe; Julio Saez-Rodriguez; Anne Siegel (CMSB, 2012)

Integrating literature-constrained and data-driven inference of signalling networks. - Federica Eduati; Javier De Las Rivas; Barbara Di Camillo; Gianna Toffolo; Julio Saez-Rodriguez (Bioinform., 2012)

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; Sven Thiele; Niels Grabe; Julio Saez-Rodriguez; Anne Siegel (CoRR, 2012)

Dynamic Modeling of miRNA-mediated Feed-Forward Loops. - Federica Eduati; Barbara Di Camillo; Michael Karbiener; Marcel Scheideler; Davide Corà; Michele Caselle; Gianna Toffolo (J. Comput. Biol., 2012)

Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming. - Carito Guziolowski; Santiago Videla; Federica Eduati; Sven Thiele; Thomas Cokelaer; Anne Siegel; Julio Saez-Rodriguez (Bioinform., 2013)

DREAMTools: a Python package for scoring collaborative challenges. - Thomas Cokelaer; Mukesh Bansal; Christopher Bare; Erhan Bilal; Brian M. Bot; Elias Chaibub Neto; Federica Eduati; Mehmet Gönen; Steven M. Hill; Bruce R. Hoff; Jonathan R. Karr; Robert Küffner; et al. (F1000Research, 2015)

Learning Boolean logic models of signaling networks with ASP. - Santiago Videla; Carito Guziolowski; Federica Eduati; Sven Thiele; Martin Gebser; Jacques Nicolas; Julio Saez-Rodriguez; Torsten Schaub; Anne Siegel (Theor. Comput. Sci., 2015)

A rule-based model of insulin signalling pathway. - Barbara Di Camillo; Azzurra Carlon; Federica Eduati; Gianna Maria Toffolo (BMC Syst. Biol., 2016)

Interpretable systems biomarkers predict response to immune-checkpoint inhibitors. - Óscar Lapuente-Santana; Maisa van Genderen; Peter A. J. Hilbers; Francesca Finotello; Federica Eduati (Patterns, 2021)

Prostate cancer risk assessment using a radiogenomic analysis. - Catarina Dinis Fernandes; Annekoos Schaap; Joan Kant; Petra J. van Houdt; Hessel Wijkstra; Uulke A. van der Heide; Wilbert Zwart; Massimo Mischi; Federica Eduati; Simona Turco (MeMeA, 2023)

An algorithmic perspective on deciphering cell-cell interactions with spatial omics data. - Mike van Santvoort; Federica Eduati (Briefings Bioinform., 2025)

Adaptive Prototype Learning for Multimodal Cancer Survival Analysis. - Hong Liu; Haosen Yang 003; Federica Eduati; Josien P. W. Pluim; Mitko Veta (CoRR, 2025)