Parameter estimation and model selection in computational biology G Lillacci, M Khammash PLoS computational biology 6 (3), e1000696, 2010 | 411 | 2010 |
A universal biomolecular integral feedback controller for robust perfect adaptation SK Aoki, G Lillacci, A Gupta, A Baumschlager, D Schweingruber, ... Nature 570 (7762), 533-537, 2019 | 307 | 2019 |
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 | 101 | 2018 |
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 | 75 | 2013 |
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 | 50 | 2013 |
A synthetic integral feedback controller for robust tunable regulation in bacteria G Lillacci, S Aoki, D Schweingruber, M Khammash BioRxiv, 170951, 2017 | 44 | 2017 |
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 | 35 | 2012 |
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 | 14 | 2017 |
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 | 9 | 2006 |
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 | 8 | 2017 |
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 | 7 | 2010 |
State estimation for a model of gene expression G Lillacci, P Valigi 2008 IEEE International Symposium on Circuits and Systems (ISCAS), 2046-2049, 2008 | 7 | 2008 |
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 | 5 | 2007 |
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 | 4 | 2011 |
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 | 3 | 2011 |
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 | 3 | 2007 |
In silico analysis of p53 response to DNA damage G Lillacci, M Boccadoro, P Valigi IFAC Proceedings Volumes 39 (18), 507-512, 2006 | 1 | 2006 |
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 International Conference on Computational and Systems Biology (ICCSB), 2009 | | 2009 |
Modelli dinamici per lo studio dei meccanismi di riparo del danno al DNA F Bianconi, G Lillacci, P Valigi Convegno Annuale CIRA, 2006 | | 2006 |