17 citations · 31 across the 10 of their papers we have counts for
3 papers · 1 filter
CABeRNET: a Cytoscape app for Augmented Boolean models of gene Regulatory NETworks
Andrea Paroni, Alex Graudenzi, Giulio Caravagna +3
Background. Dynamical models of gene regulatory networks (GRNs) are highly effective in describing complex biological phenomena and processes, such as cell differentiation and canc…
Dynamical regimes in non-ergodic random Boolean networks
Marco Villani, Davide Campioli, Chiara Damiani +3
Random boolean networks are a model of genetic regulatory networks that has proven able to describe experimental data in biology. They not only reproduce important phenomena in cel…
On RAF Sets and Autocatalytic Cycles in Random Reaction Networks
Alessandro Filisetti, Marco Villani, Chiara Damiani +4
The emergence of autocatalytic sets of molecules seems to have played an important role in the origin of life context. Although the possibility to reproduce this emergence in labor…