The p53 network and its control via MDM2 inhibitors: insights from a dynamic model. - Gabriele Lillacci; Mauro Boccadoro; Paolo Valigi (CDC, 2006)

State estimation for a model of gene expression. - Gabriele Lillacci; Paolo Valigi (ISCAS, 2008)

Parameter identification of biological networks using extended Kalman filtering and χ2 criteria. - Gabriele Lillacci; Mustafa Khammash (CDC, 2010)

Parameter Estimation and Model Selection in Computational Biology. - Gabriele Lillacci; Mustafa Khammash (PLoS Comput. Biol., 2010)

Dynamic Modeling and Parameter Identification for Biological Networks: Application to the DNA Damage and Repair Processes. - Fortunato Bianconi; Gabriele Lillacci; Paolo Valigi (Handbook of Research on Computational and Systems Biology, 2011)

Model selection in stochastic chemical reaction networks using flow cytometry data. - Gabriele Lillacci; Mustafa Khammash (CDC/ECC, 2011)

Measurement noise distribution as a metric for parameter estimation in dynamical systems. - Gabriele Lillacci; Mustafa Khammash (CDC, 2012)

The signal within the noise: efficient inference of stochastic gene regulation models using fluorescence histograms and stochastic simulations. - Gabriele Lillacci; Mustafa Khammash (Bioinform., 2013)

Challenges at the interface of control engineering and synthetic biology. - Harrison Steel; Gabriele Lillacci; Mustafa Khammash; Antonis Papachristodoulou (CDC, 2017)