Gabriele Lillacci
Gabriele Lillacci
Postdoc in Control Theory and Systems Biology, ETH Zürich D-BSSE
Verified email at bsse.ethz.ch
TitleCited byYear
Parameter estimation and model selection in computational biology
G Lillacci, M Khammash
PLoS computational biology 6 (3), e1000696, 2010
2672010
The signal within the noise: efficient inference of stochastic gene regulation models using fluorescence histograms and stochastic simulations
G Lillacci, M Khammash
Bioinformatics 29 (18), 2311-2319, 2013
522013
A distribution‐matching method for parameter estimation and model selection in computational biology
G Lillacci, M Khammash
International Journal of Robust and Nonlinear Control 22 (10), 1065-1081, 2012
292012
MUC1* ligand, NM23-H1, is a novel growth factor that maintains human stem cells in a more naive state
BJ Smagghe, AK Stewart, MG Carter, LM Shelton, KJ Bernier, EJ Hartman, ...
PloS one 8 (3), e58601, 2013
252013
A synthetic integral feedback controller for robust tunable regulation in bacteria
G Lillacci, SK Aoki, D Schweingruber, M Khammash
Biorxiv, 170951, 2017
122017
Synthetic control systems for high performance gene expression in mammalian cells
G Lillacci, Y Benenson, M Khammash
Nucleic acids research 46 (18), 9855-9863, 2018
102018
The p53 network and its control via MDM2 inhibitors: Insights from a dynamic model
G Lillacci, M Boccadoro, P Valigi
Proceedings of the 45th IEEE Conference on Decision and Control, 2110-2115, 2006
82006
A universal biomolecular integral feedback controller for robust perfect adaptation
SK Aoki, G Lillacci, A Gupta, A Baumschlager, D Schweingruber, ...
Nature, 1, 2019
72019
Parameter identification of biological networks using extended Kalman filtering and χ2criteria
G Lillacci, M Khammash
49th IEEE Conference on Decision and Control (CDC), 3367-3372, 2010
72010
A synthetic integral feedback controller for robust tunable regulation in bacteria. bioRxiv
G Lillacci, SK Aoki, D Schweingruber, M Khammash
URL https://www. biorxiv. org/content/early/2017/08/01/170951, 2017
52017
State estimation for a model of gene expression
G Lillacci, P Valigi
2008 IEEE International Symposium on Circuits and Systems, 2046-2049, 2008
52008
State observers for the estimation of mRNA and protein dynamics
G Lillacci, P Valigi
2007 IEEE/NIH Life Science Systems and Applications Workshop, 108-111, 2007
42007
Dynamic modeling and parameter identification for biological networks: application to the DNA damage and repair processes
F Bianconi, G Lillacci, P Valigi
Handbook of research on computational and systems biology: Interdisciplinary …, 2011
32011
A hybrid model of nucleotide excision repair in neoplastic diseases: The identification problem
F Bianconi, G Lillacci, P Valigi
2007 European Control Conference (ECC), 2603-2610, 2007
32007
Challenges at the interface of control engineering and synthetic biology
H Steel, G Lillacci, M Khammash, A Papachristodoulou
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1014-1023, 2017
22017
Model selection in stochastic chemical reaction networks using flow cytometry data
G Lillacci, M Khammash
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
22011
In silico analysis of p53 response to DNA damage
G Lillacci, M Boccadoro, P Valigi
IFAC Proceedings Volumes 39 (18), 507-512, 2006
12006
Measurement noise distribution as a metric for parameter estimation in dynamical systems
G Lillacci, M Khammash
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 1494-1499, 2012
2012
A strategy for parameter estimation for mRNA and protein dynamics
F Bianconi, M Boccadoro, G Lillacci, P Valigi
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Articles 1–19