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Eugenio Cinquemani
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2020 – today
- 2024
- [c21]Emrys Reginato, Aline Marguet, Eugenio Cinquemani:
Inference of Tree-Structured Auto-Regressive Models of Gene Expression Parameters from Generation-Snapshot Data. ECC 2024: 838-843 - [c20]Rand Asswad, Eugenio Cinquemani, Jean-Luc Gouzé:
Kalman-based approaches for online estimation of bioreactor dynamics from fluorescent reporter measurements. ECC 2024: 844-849 - 2021
- [e2]Eugenio Cinquemani, Loïc Paulevé:
Computational Methods in Systems Biology - 19th International Conference, CMSB 2021, Bordeaux, France, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12881, Springer 2021, ISBN 978-3-030-85632-8 [contents] - 2020
- [j16]Marco Mauri
, Jean-Luc Gouzé
Enhanced production of heterologous proteins by a synthetic microbial community: Conditions and trade-offs. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2019
- [b1]Eugenio Cinquemani:
Identification, estimation and control of gene expression and metabolic network dynamics. (Identification, estimation et contrôle des dynamiques d'expression génique et des réseaux métaboliques). Grenoble Alpes University, France, 2019 - [j15]Eugenio Cinquemani:
Stochastic reaction networks with input processes: Analysis and application to gene expression inference. Autom. 101: 150-156 (2019) - [j14]Aline Marguet, Marc Lavielle, Eugenio Cinquemani:
Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data. Bioinform. 35(14): i586-i595 (2019) - [c19]Eugenio Cinquemani, Francis Mairet
Optimal control of bacterial growth for metabolite production: The role of timing and costs of control. ECC 2019: 2657-2662 - 2017
- [j13]Eugenio Cinquemani, Valérie Laroute, Muriel Cocaign-Bousquet
Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data. Bioinform. 33(14): i301-i310 (2017) - 2016
- [j12]Artémis Llamosi, Andrés M. González-Vargas
What Population Reveals about Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast. PLoS Comput. Biol. 12(2) (2016) - [c18]Eugenio Cinquemani:
On Observability and Reconstruction of Promoter Activity Statistics from Reporter Protein Mean and Variance Profiles. HSB 2016: 147-163 - [e1]Eugenio Cinquemani, Alexandre Donzé:
Hybrid Systems Biology - 5th International Workshop, HSB 2016, Grenoble, France, October 20-21, 2016, Proceedings. Lecture Notes in Computer Science 9957, 2016, ISBN 978-3-319-47150-1 [contents] - 2015
- [j11]Maria Anna Rapsomaniki
Inference of protein kinetics by stochastic modeling and simulation of fluorescence recovery after photobleaching experiments. Bioinform. 31(3): 355-362 (2015) - [j10]Diana Stefan, Corinne Pinel, Stéphane Pinhal, Eugenio Cinquemani, Johannes Geiselmann
Inference of Quantitative Models of Bacterial Promoters from Time-Series Reporter Gene Data. PLoS Comput. Biol. 11(1) (2015) - [c17]Eugenio Cinquemani:
Reconstruction of promoter activity statistics from reporter protein population snapshot data. CDC 2015: 1471-1476 - [c16]Eugenio Cinquemani:
Reconstructing Statistics of Promoter Switching from Reporter Protein Population Snapshot Data. HSB 2015: 3-19 - 2014
- [c15]Lakshmeesh R. M. Maruthi, Ilya Tkachev, Alfonso Carta, Eugenio Cinquemani, Pascal Hersen
Towards Real-Time Control of Gene Expression at the Single Cell Level: A Stochastic Control Approach. CMSB 2014: 155-172 - 2013
- [c14]Andres M. Gonzalez, Jannis Uhlendorf, Joe Schaul, Eugenio Cinquemani, Grégory Batt, Giancarlo Ferrari-Trecate:
Identification of biological models from single-cell data: A comparison between mixed-effects and moment-based inference. ECC 2013: 3652-3657 - [c13]Alfonso Carta, Eugenio Cinquemani:
State estimation for gene networks with intrinsic and extrinsic noise: A case study on E.coli arabinose uptake dynamics. ECC 2013: 3658-3663 - 2012
- [j9]Peter Hokayem, Eugenio Cinquemani, Debasish Chatterjee
Stochastic receding horizon control with output feedback and bounded controls. Autom. 48(1): 77-88 (2012) - 2011
- [j8]Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee
Convexity and convex approximations of discrete-time stochastic control problems with constraints. Autom. 47(9): 2082-2087 (2011) - [j7]Sara Berthoumieux, Matteo Brilli
Identification of metabolic network models from incomplete high-throughput datasets. Bioinform. 27(13): 186-195 (2011) - 2010
- [j6]Riccardo Porreca, Eugenio Cinquemani, John Lygeros, Giancarlo Ferrari-Trecate
Identification of genetic network dynamics with unate structure. Bioinform. 26(9): 1239-1245 (2010) - [c12]Riccardo Porreca, Eugenio Cinquemani, John Lygeros, Giancarlo Ferrari-Trecate
Structural identification of unate-like genetic network models from time-lapse protein concentration measurements. CDC 2010: 2529-2534 - [c11]Peter Hokayem, Eugenio Cinquemani, Debasish Chatterjee
Stochastic receding horizon control with output feedback and bounded control inputs. CDC 2010: 6095-6100
2000 – 2009
- 2009
- [c10]Debasish Chatterjee, Eugenio Cinquemani, John Lygeros:
Probabilistic regulation in stochastic hybrid systems subject to safety constraints. ADHS 2009: 286-291 - [c9]Debasish Chatterjee
On stochastic control up to a hitting time. CDC 2009: 531-536 - [c8]Eugenio Cinquemani, Riccardo Porreca, John Lygeros, Giancarlo Ferrari-Trecate
Canalizing structure of genetic network dynamics: modelling and identification via mixed-integer programming. CDC 2009: 5618-5623 - [c7]Mayank Agarwal, Eugenio Cinquemani, Debasish Chatterjee, John Lygeros:
On convexity of stochastic optimization problems with constraints. ECC 2009: 2827-2832 - [c6]Eugenio Cinquemani, Andreas Milias-Argeitis
Local Identification of Piecewise Deterministic Models of Genetic Networks. HSCC 2009: 105-119 - 2008
- [j5]Eugenio Cinquemani, Gianluigi Pillonetto:
Wavelet estimation by Bayesian thresholding and model selection. Autom. 44(9): 2288-2297 (2008) - [j4]Eugenio Cinquemani, Andreas Milias-Argeitis
Stochastic dynamics of genetic networks: modelling and parameter identification. Bioinform. 24(23): 2748-2754 (2008) - [j3]Eugenio Cinquemani, Riccardo Porreca, Giancarlo Ferrari-Trecate
Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification. IEEE Trans. Autom. Control. 53: 38-50 (2008) - [c5]Eugenio Cinquemani, Vassilis Roukos
Numerical analysis of FRAP experiments for DNA replication and repair. CDC 2008: 155-160 - 2007
- [c4]Eugenio Cinquemani, Riccardo Porreca, Giancarlo Ferrari-Trecate
Parameter identification for stochastic hybrid models of biological interaction networks. CDC 2007: 5180-5185 - [c3]Eugenio Cinquemani, Riccardo Porreca, Giancarlo Ferrari-Trecate
A general framework for the identification of jump Markov linear systems. CDC 2007: 5737-5742 - 2006
- [j2]Eugenio Cinquemani:
A superposition principle for the Kalman filter. Syst. Control. Lett. 55(1): 38-44 (2006) - [j1]Eugenio Cinquemani, Mario Micheli:
State estimation in stochastic hybrid Systems with sparse observations. IEEE Trans. Autom. Control. 51(8): 1337-1342 (2006) - [c2]Eugenio Cinquemani, Giorgio Picci:
Identification of wood rings from sparse tomographic data. CDC 2006: 3706-3711 - 2004
- [c1]Eugenio Cinquemani, Mario Micheli, Giorgio Picci:
Fault detection in a class of stochastic hybrid systems. CDC 2004: 3197-3203
Coauthor Index
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