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2020 – today
- 2023
[j13]Paola Lecca
:
Editorial: Expert Opinions in Network bioinformatics: 2022. Frontiers Bioinform. 3 (2023)- [j12]Paola Lecca, Michela Lecca:
Graph embedding and geometric deep learning relevance to network biology and structural chemistry. Frontiers Artif. Intell. 6 (2023) - [c26]Paola Lecca:
Modelling a network as a spring system to estimate edge vulnerability. BIBM 2023: 3466-3472 - 2022
- [j11]Paola Lecca:
Corrigendum: Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge. Frontiers Bioinform. 2 (2022) - [c25]Paola Lecca, Angela Re:
Checking for non-Euclidean latent geometry of biological networks. BIBM 2022: 2526-2535 - [c24]Paola Lecca, Angela Re:
A new proposal of power series method to solve the Navier-Stokes equations: application contexts and perspectives. ICoMS 2022: 21-35 - 2021
- [j10]Paola Lecca:
Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge. Frontiers Bioinform. 1 (2021) - [c23]Paola Lecca, Bruno Carpentieri, Paolo Sylos Labini, Flavio Vella, Emidio Troiani, Attilio Cavezzi:
Analysis of SARS-CoV-2 protein interactome map. BIBM 2021: 2429-2436 - [c22]Paola Lecca, Angela Re:
The theory of active agents for simulating dynamical networks and its π-calculus specification. ICoMS 2021: 13-21 - 2020
- [j9]Paola Lecca, Angela Re:
A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 469-482 (2020) - [j8]Paola Lecca, Angela Re:
Correction to "A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations". IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1092 (2020) - [c21]Paola Lecca, Angela Re:
Stiffness estimate of information propagation in biological systems modelled as spring networks. BIBM 2020: 1797-1804 - [c20]Paola Lecca, Michela Lecca, Paola Melotti, Virginia Lotti, Sara Preato, Karina Kleinfelder, Alessia Farinazzo, Claudio Sorio:
Computing organoids' volume in medical images: the case study of cystic fibrosis. CIBCB 2020: 1-8 - [p1]Angela Re, Paola Lecca:
On TD-WGcluster: Theoretical Foundations and Guidelines for the User. Protein-Protein Interaction Networks 2020: 233-262
2010 – 2019
- 2019
- [c19]Paola Lecca, Angela Re:
Observability of Bacterial Growth Models in Bubble Column Bioreactors. CIBB 2019: 309-322 - [c18]Angela Re, Paola Lecca:
Determining structural parameter identifiability in biological dynamical models by analysing the statistical properties of the likelihood behaviour. CIBCB 2019: 1-8 - 2017
- [c17]Paola Lecca, Angela Re, Gary C. Barker, Adaoha E. C. Ihekwaba:
A hierarchical model to predict the probability of germination of bacterial spores. CIBCB 2017: 1-7 - 2015
- [c16]Paola Lecca, Angela Re:
Module Detection in Dynamic Networks by Temporal Edge Weight Clustering. CIBB 2015: 54-70 - 2013
- [j7]Chiara Damiani, Alessandro Filisetti, Alex Graudenzi, Paola Lecca:
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks. Comput. Biol. Chem. 42: 5-17 (2013) - 2012
- [j6]Paola Lecca, Daniele Morpurgo:
Modelling non-homogeneous stochastic reaction-diffusion systems: the case study of gemcitabine-treated non-small cell lung cancer growth. BMC Bioinform. 13(S-14): S14 (2012) - [j5]Paola Lecca, Daniele Morpurgo, Gianluca Fantaccini, Alessandro Casagrande, Corrado Priami:
Inferring biochemical reaction pathways: the case of the gemcitabine pharmacokinetics. BMC Syst. Biol. 6: 51 (2012) - [c15]Paola Lecca:
Identification of models of brain glucose metabolism from 18F - Deoxyglucose PET images. CompIMAGE 2012: 209-214 - [e1]Sascha Ossowski, Paola Lecca:
Proceedings of the ACM Symposium on Applied Computing, SAC 2012, Riva, Trento, Italy, March 26-30, 2012. ACM 2012, ISBN 978-1-4503-0857-1 [contents] - 2011
- [c14]Chiara Damiani, Paola Lecca:
Model Identification Using Correlation-Based Inference and Transfer Entropy Estimation. EMS 2011: 129-134 - [c13]Paola Lecca, Ozan Kahramanogullari, Daniele Morpurgo, Corrado Priami, Ross A. Soo:
Poster: Modelling the tumor shrinkage pharmacodynamics with BlenX. ICCABS 2011: 251 - [c12]Paola Lecca, Ozan Kahramanogullari, Daniele Morpurgo, Corrado Priami, Ross A. Soo:
Modelling and Estimating Dynamics of Tumor Shrinkage with BlenX and Kinfer. UKSim 2011: 75-80 - 2010
- [j4]Paola Lecca, Adaoha E. C. Ihekwaba, Lorenzo Dematté, Corrado Priami:
Stochastic simulation of the spatio-temporal dynamics of reaction-diffusion systems: the case for the bicoid gradient. J. Integr. Bioinform. 7(1) (2010)
2000 – 2009
- 2009
- [c11]Paola Lecca:
Deterministic Chemical Chaos Identification in Models and Experiments. BIOCOMP 2009: 307-312 - [c10]Paola Lecca, Alida Palmisano:
On the Parameter Inference in Chaotic Chemical Systems. EMS 2009: 175-180 - [c9]Paola Lecca, Alida Palmisano, Corrado Priami, Guido Sanguinetti:
A new probabilistic generative model of parameter inference in biochemical networks. SAC 2009: 758-765 - [c8]Paola Lecca, Alida Palmisano, Corrado Priami:
Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration. UKSim 2009: 200-205 - [i1]Attila Csikász-Nagy, Adrien Fauré, Roberto Larcher, Paola Lecca, Ivan Mura, Ferenc Jordán, Alida Palmisano, Alessandro Romanel, Sean Sedwards, Heike Siebert, Sylvain Soliman, Denis Thieffry, Judit Zámborszky, Tommaso Mazza, Paolo Ballarini:
Analyzing various models of Circadian Clock and Cell Cycle coupling. Formal Methods in Molecular Biology 2009 - 2008
- [c7]Paola Lecca:
Stochastic pi-Calculus Models of the Molecular Bases of Parkinson's Disease. BIOCOMP 2008: 298-304 - 2007
- [j3]Paola Lecca:
Simulating the cellular passive transport of glucose using a time-dependent extension of Gillespie algorithm for stochastic pi-calculus. Int. J. Data Min. Bioinform. 1(4): 315-336 (2007) - [c6]Paola Lecca, Michela Lecca:
Molecular Mechanism of Glutamate-Triggered Brain Glucose Metabolism: A Parametric Model from FDG PET-Scans. BVAI 2007: 350-359 - 2006
- [j2]Claudio Eccher, Paola Lecca:
Translating SBML Models into the Stochastic pi-Calculus for Stochastic Simulation. Trans. Comp. Sys. Biology 7: 73-88 (2006) - [c5]Jan Himmelspach, Paola Lecca, Davide Prandi, Corrado Priami, Paola Quaglia, Adelinde M. Uhrmacher:
Developing An Hierarchical Simulator for Beta-binders. PADS 2006: 92-102 - [c4]Paola Lecca:
A time-dependent extension of gillespie algorithm for biochemical stochastic pi-calculus. SAC 2006: 137-144 - 2004
- [j1]Paola Lecca, Corrado Priami, Paola Quaglia, Barbara Rossi, Carlo Laudanna, Gabriela Constantin:
A Stochastic Process Algebra Approach to Simulation of Autoreactive Lymphocyte Recruitment. Simul. 80(6): 273-288 (2004) - [c3]Paola Lecca, Corrado Priami, Carlo Laudanna, Gabriela Constantin:
A Biospi Model of Lymphocyte-Endothelial Interactions in Inflamed Brain Venules. Pacific Symposium on Biocomputing 2004: 521-532 - [c2]Paola Lecca, Corrado Priami, Carlo Laudanna, Gabriela Constantin:
Predicting cell adhesion probability via the biochemical stochastic pi-calculus. SAC 2004: 211-212 - 2003
- [c1]Paola Lecca, Corrado Priami:
Cell Cycle Control in Eukaryotes: A BioSpi model. BioConcur@CONCUR 2003: 51-63
Coauthor Index
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