Cell Cycle Control in Eukaryotes: A BioSpi model. - Paola Lecca; Corrado Priami (BioConcur@CONCUR, 2003)

A Biospi Model of Lymphocyte-Endothelial Interactions in Inflamed Brain Venules. - Paola Lecca; Corrado Priami; Carlo Laudanna; Gabriela Constantin (Pacific Symposium on Biocomputing, 2004)

Predicting cell adhesion probability via the biochemical stochastic pi-calculus. - Paola Lecca; Corrado Priami; Carlo Laudanna; Gabriela Constantin (SAC, 2004)

A Stochastic Process Algebra Approach to Simulation of Autoreactive Lymphocyte Recruitment. - Paola Lecca; Corrado Priami; Paola Quaglia; Barbara Rossi; Carlo Laudanna; Gabriela Constantin (Simul., 2004)

Developing An Hierarchical Simulator for Beta-binders. - Jan Himmelspach; Paola Lecca; Davide Prandi; Corrado Priami; Paola Quaglia; Adelinde M. Uhrmacher (PADS, 2006)

A time-dependent extension of gillespie algorithm for biochemical stochastic pi-calculus. - Paola Lecca (SAC, 2006)

Translating SBML Models into the Stochastic pi-Calculus for Stochastic Simulation. - Claudio Eccher; Paola Lecca (Trans. Comp. Sys. Biology, 2006)

Molecular Mechanism of Glutamate-Triggered Brain Glucose Metabolism: A Parametric Model from FDG PET-Scans. - Paola Lecca; Michela Lecca (BVAI, 2007)

Simulating the cellular passive transport of glucose using a time-dependent extension of Gillespie algorithm for stochastic pi-calculus. - Paola Lecca (Int. J. Data Min. Bioinform., 2007)

Stochastic pi-Calculus Models of the Molecular Bases of Parkinson's Disease. - Paola Lecca (BIOCOMP, 2008)

Deterministic Chemical Chaos Identification in Models and Experiments. - Paola Lecca (BIOCOMP, 2009)

Analyzing various models of Circadian Clock and Cell Cycle coupling. - 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; et al. (Formal Methods in Molecular Biology, 2009)

On the Parameter Inference in Chaotic Chemical Systems. - Paola Lecca; Alida Palmisano (EMS, 2009)

A new probabilistic generative model of parameter inference in biochemical networks. - Paola Lecca; Alida Palmisano; Corrado Priami; Guido Sanguinetti (SAC, 2009)

Deducing Chemical Reaction Rate Constants and Their Regions of Confidence from Noisy Measurements of Time Series of Concentration. - Paola Lecca; Alida Palmisano; Corrado Priami (UKSim, 2009)

Stochastic simulation of the spatio-temporal dynamics of reaction-diffusion systems: the case for the bicoid gradient. - Paola Lecca; Adaoha E. C. Ihekwaba; Lorenzo Dematté; Corrado Priami (J. Integr. Bioinform., 2010)

Model Identification Using Correlation-Based Inference and Transfer Entropy Estimation. - Chiara Damiani; Paola Lecca (EMS, 2011)

Poster: Modelling the tumor shrinkage pharmacodynamics with BlenX. - Paola Lecca; Ozan Kahramanogullari; Daniele Morpurgo; Corrado Priami; Ross A. Soo (ICCABS, 2011)

Modelling and Estimating Dynamics of Tumor Shrinkage with BlenX and Kinfer. - Paola Lecca; Ozan Kahramanogullari; Daniele Morpurgo; Corrado Priami; Ross A. Soo (UKSim, 2011)

Identification of models of brain glucose metabolism from 18F - Deoxyglucose PET images. - Paola Lecca (CompIMAGE, 2012)

Modelling non-homogeneous stochastic reaction-diffusion systems: the case study of gemcitabine-treated non-small cell lung cancer growth. - Paola Lecca; Daniele Morpurgo (BMC Bioinform., 2012)

Inferring biochemical reaction pathways: the case of the gemcitabine pharmacokinetics. - Paola Lecca; Daniele Morpurgo; Gianluca Fantaccini; Alessandro Casagrande; Corrado Priami (BMC Syst. Biol., 2012)

Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks. - Chiara Damiani; Alessandro Filisetti; Alex Graudenzi; Paola Lecca (Comput. Biol. Chem., 2013)

Module Detection in Dynamic Networks by Temporal Edge Weight Clustering. - Paola Lecca; Angela Re (CIBB, 2015)

A hierarchical model to predict the probability of germination of bacterial spores. - Paola Lecca; Angela Re; Gary C. Barker; Adaoha E. C. Ihekwaba (CIBCB, 2017)

Observability of Bacterial Growth Models in Bubble Column Bioreactors. - Paola Lecca; Angela Re (CIBB, 2019)

Determining structural parameter identifiability in biological dynamical models by analysing the statistical properties of the likelihood behaviour. - Angela Re; Paola Lecca (CIBCB, 2019)

Stiffness estimate of information propagation in biological systems modelled as spring networks. - Paola Lecca; Angela Re (BIBM, 2020)

Computing organoids' volume in medical images: the case study of cystic fibrosis. - Paola Lecca; Michela Lecca; Paola Melotti; Virginia Lotti; Sara Preato; Karina Kleinfelder; Alessia Farinazzo; Claudio Sorio (CIBCB, 2020)

A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations. - Paola Lecca; Angela Re (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Correction to "A Reaction-Based Model of the State Space of Chemical Reaction Systems Enables Efficient Simulations". - Paola Lecca; Angela Re (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

On TD-WGcluster: Theoretical Foundations and Guidelines for the User. - Angela Re; Paola Lecca (Protein-Protein Interaction Networks, 2020)

Analysis of SARS-CoV-2 protein interactome map. - Paola Lecca; Bruno Carpentieri; Paolo Sylos Labini; Flavio Vella; Emidio Troiani; Attilio Cavezzi (BIBM, 2021)

The theory of active agents for simulating dynamical networks and its π-calculus specification. - Paola Lecca; Angela Re (ICoMS, 2021)

Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge. - Paola Lecca (Frontiers Bioinform., 2021)

Checking for non-Euclidean latent geometry of biological networks. - Paola Lecca; Angela Re (BIBM, 2022)

A new proposal of power series method to solve the Navier-Stokes equations: application contexts and perspectives. - Paola Lecca; Angela Re (ICoMS, 2022)

Corrigendum: Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge. - Paola Lecca (Frontiers Bioinform., 2022)

Modelling a network as a spring system to estimate edge vulnerability. - Paola Lecca (BIBM, 2023)

Graph embedding and geometric deep learning relevance to network biology and structural chemistry. - Paola Lecca; Michela Lecca (Frontiers Artif. Intell., 2023)

Editorial: Expert Opinions in Network bioinformatics: 2022. - Paola Lecca (Frontiers Bioinform., 2023)

Informing the Neural Network Activation Function with Graph Centrality Measures: the Case Study of Oscillating Chemical Reaction Simulation. - Paola Lecca (ICCS (Workshops 1), 2025)