Paola Lecca
Orcid: 0000-0002-7224-136X
According to our database1,
Paola Lecca
authored at least 41 papers
between 2003 and 2023.
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Bibliography
2023
Frontiers Bioinform., May, 2023
Graph embedding and geometric deep learning relevance to network biology and structural chemistry.
Frontiers Artif. Intell., February, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Corrigendum: Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge.
Frontiers Bioinform., 2022
A new proposal of power series method to solve the Navier-Stokes equations: application contexts and perspectives.
Proceedings of the ICoMS 2022: 5th International Conference on Mathematics and Statistics, Paris, France, June 17, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge.
Frontiers Bioinform., 2021
The theory of active agents for simulating dynamical networks and its π-calculus specification.
Proceedings of the ICoMS 2021: 4th International Conference on Mathematics and Statistics, Paris, France, June 24, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Proceedings of the Protein-Protein Interaction Networks, Methods and Protocols., 2020
Correction to "A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations".
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020
Stiffness estimate of information propagation in biological systems modelled as spring networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Determining structural parameter identifiability in biological dynamical models by analysing the statistical properties of the likelihood behaviour.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019
2017
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
2015
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015
2013
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks.
Comput. Biol. Chem., 2013
2012
Inferring biochemical reaction pathways: the case of the gemcitabine pharmacokinetics.
BMC Syst. Biol., 2012
Modelling non-homogeneous stochastic reaction-diffusion systems: the case study of gemcitabine-treated non-small cell lung cancer growth.
BMC Bioinform., 2012
Identification of models of brain glucose metabolism from 18F - Deoxyglucose PET images.
Proceedings of the Computational Modelling of Objects Represented in Images, 2012
2011
Proceedings of the 13th UKSim-AMSS International Conference on Computer Modelling and Simulation, Cambridge University, Emmanuel College, Cambridge, UK, 30 March, 2011
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 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
Stochastic simulation of the spatio-temporal dynamics of reaction-diffusion systems: the case for the bicoid gradient.
J. Integr. Bioinform., 2010
2009
Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration.
Proceedings of the UKSim'11, 2009
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Proceedings of the EMS 2009, 2009
Proceedings of the Formal Methods in Molecular Biology, 22.02. - 27.02.2009, 2009
Deterministic Chemical Chaos Identification in Models and Experiments.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009
2008
Stochastic pi-Calculus Models of the Molecular Bases of Parkinson's Disease.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008
2007
Simulating the cellular passive transport of glucose using a time-dependent extension of Gillespie algorithm for stochastic pi-calculus.
Int. J. Data Min. Bioinform., 2007
Molecular Mechanism of Glutamate-Triggered Brain Glucose Metabolism: A Parametric Model from FDG PET-Scans.
Proceedings of the Advances in Brain, 2007
2006
Translating SBML Models into the Stochastic <i>pi</i>-Calculus for Stochastic Simulation.
Trans. Comp. Sys. Biology, 2006
A time-dependent extension of gillespie algorithm for biochemical stochastic pi-calculus.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
Proceedings of the 20th IEEE/ACM/SCS Workshop on Principles of Advanced and Distributed Simulation, 2006
2004
A Stochastic Process Algebra Approach to Simulation of Autoreactive Lymphocyte Recruitment.
Simul., 2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
Proceedings of the Biocomputing 2004, 2004
2003
Proceedings of the First Workshop on Concurrent Models in Molecular Biology, 2003