Chiara Damiani
Orcid: 0000-0002-5742-8302
According to our database1,
Chiara Damiani
authored at least 46 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2023
LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution.
BMC Bioinform., December, 2023
Unity is strength: Improving the detection of adversarial examples with ensemble approaches.
Neurocomputing, October, 2023
Proceedings of the Artificial Life and Evolutionary Computation, 2023
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023
2022
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation.
PLoS Comput. Biol., 2022
Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case.
J. Chem. Inf. Model., 2022
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells.
BMC Bioinform., 2022
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power.
Bioinform., 2022
Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
2021
PLoS Comput. Biol., 2021
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems.
Inf. Comput., 2021
EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks.
CoRR, 2021
Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models.
BMC Bioinform., 2021
Optimal Control of a Discrete Time Stochastic Model of an Epidemic Spreading in Arbitrary Networks.
Proceedings of the Annual Modeling and Simulation Conference, 2021
2020
FBCA, A Multiscale Modeling Framework Combining Cellular Automata and Flux Balance Analysis.
J. Cell. Autom., 2020
The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System.
Fundam. Informaticae, 2020
2019
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism.
PLoS Comput. Biol., 2019
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019
2018
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power.
J. Biomed. Informatics, 2018
Emerging ensembles of kinetic parameters to characterize observed metabolic phenotypes.
BMC Bioinform., 2018
Proceedings of the Artificial Life and Evolutionary Computation - 13th Italian Workshop, 2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
Modeling Spatio-Temporal Dynamics of Metabolic Networks with Cellular Automata and Constraint-Based Methods.
Proceedings of the Cellular Automata, 2018
2017
A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect.
PLoS Comput. Biol., 2017
Bioinform., 2017
2016
Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models.
Comput. Biol. Chem., 2016
BMC Bioinform., 2016
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016
Linking Alterations in Metabolic Fluxes with Shifts in Metabolite Levels by Means of Kinetic Modeling.
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
Constraining Mechanism Based Simulations to Identify Ensembles of Parametrizations to Characterize Metabolic Features.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
2014
An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes.
Nat. Comput., 2014
Investigating the Role of Network Topology and Dynamical Regimes on the Dynamics of a Cell Differentiation Model.
Proceedings of the Advances in Artificial Life and Evolutionary Computation, 2014
Proceedings of the Advances in Artificial Life and Evolutionary Computation, 2014
2013
A model of protocell based on the introduction of a semi-permeable membrane in a stochastic model of catalytic reaction networks.
Proceedings of the Proceedings Wivace 2013, 2013
Proceedings of the Proceedings Wivace 2013, 2013
An ensemble approach to the study of the emergence of metabolic and proliferative disorders via Flux Balance Analysis.
Proceedings of the Proceedings Wivace 2013, 2013
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks.
Comput. Biol. Chem., 2013
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
2011
J. Comput. Biol., 2011
Model Identification Using Correlation-Based Inference and Transfer Entropy Estimation.
Proceedings of the UKSim 5th European Symposium on Computer Modeling and Simulation, 2011
2010
Proceedings of the Cellular Automata, 2010
2008
Proceedings of the Cellular Automata, 2008