The Impact of Self-loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling (article in journal, 2020) — Sara Montagna, Michele Braccini, Andrea Roli
 A simplified model of chromatin dynamics drives differentiation process in Boolean models of GRN (paper in proceedings, 2019) — Michele Braccini, Andrea Roli, Marco Villani, Sara Montagna, Roberto Serra
 Self-loops Favour Diversification and Asymmetric Transitions Between Attractors in Boolean Network Models (paper in proceedings, 2019) — Michele Braccini, Sara Montagna, Andrea Roli
 The Impact of Self-loops in Random Boolean Network Dynamics: A Simulation Analysis (paper in proceedings, 2018) — Sara Montagna, Michele Braccini, Andrea Roli
 The impact of self-loops in random boolean network dynamics (paper in proceedings, 2017) — Sara Montagna, Michele Braccini, Andrea Roli
 A framework supporting multi-compartment stochastic simulation and parameter optimisation for investigating biological system development (article in journal, 2015) — Sara Montagna, Mirko Viroli, Andrea Roli
 Parameter tuning of a stochastic biological simulator by metaheuristics (paper in proceedings, 2009) — Sara Montagna, Andrea Roli

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