Davide Maspero

According to our database, Davide Maspero authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution.

Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh, Rocco Piazza, Chiara Damiani, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi

BMC Bioinform., December, 2023

2022

LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data.

Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Gianluca Ascolani, Isabella Castiglioni, Rocco Piazza, Marco Antoniotti, Alex Graudenzi

J. Comput. Sci., 2022

Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data.

Davide Maspero, Fabrizio Angaroni, Lucrezia Patruno, Daniele Ramazzotti, David Posada, Alex Graudenzi

Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 2022

2021

VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples.

Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Carlo Gambacorti Passerini, Marco Antoniotti, Alex Graudenzi, Rocco Piazza

Patterns, 2021

Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems.

Lucrezia Patruno, Francesco Craighero, Davide Maspero, Alex Graudenzi, Chiara Damiani

Inf. Comput., 2021

2020

FBCA, A Multiscale Modeling Framework Combining Cellular Automata and Flux Balance Analysis.

Alex Graudenzi, Davide Maspero, Chiara Damiani

J. Cell. Autom., 2020

The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System.

Davide Maspero, Chiara Damiani, Marco Antoniotti, Alex Graudenzi, Marzia Di Filippo, Marco Vanoni, Giulio Caravagna, Riccardo Colombo, Daniele Ramazzotti, Dario Pescini

Fundam. Informaticae, 2020

A closed-loop optimization framework for personalized cancer therapy design.

Fabrizio Angaroni, Mattia Pennati, Lucrezia Patruno, Davide Maspero, Marco Antoniotti, Alex Graudenzi

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

2019

Integration of single-cell RNA-seq data into population models to characterize cancer metabolism.

Chiara Damiani, Davide Maspero, Marzia Di Filippo, Riccardo Colombo, Dario Pescini, Alex Graudenzi, Hans V. Westerhoff, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri

PLoS Comput. Biol., 2019

Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata.

Davide Maspero, Marzia Di Filippo, Fabrizio Angaroni, Dario Pescini, Giancarlo Mauri, Marco Vanoni, Alex Graudenzi, Chiara Damiani

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.

Alex Graudenzi, Davide Maspero, Marzia Di Filippo, Marco Gnugnoli, Claudio Isella, Giancarlo Mauri, Enzo Medico, Marco Antoniotti, Chiara Damiani

J. Biomed. Informatics, 2018

Synchronization Effects in a Metabolism-Driven Model of Multi-cellular System.

Davide Maspero, Alex Graudenzi, Satwinder Singh, Dario Pescini, Giancarlo Mauri, Marco Antoniotti, Chiara Damiani

Proceedings of the Artificial Life and Evolutionary Computation - 13th Italian Workshop, 2018

Modeling Spatio-Temporal Dynamics of Metabolic Networks with Cellular Automata and Constraint-Based Methods.

Alex Graudenzi, Davide Maspero, Chiara Damiani

Proceedings of the Cellular Automata, 2018

2017

popFBA: tackling intratumour heterogeneity with Flux Balance Analysis.

Chiara Damiani, Marzia Di Filippo, Dario Pescini, Davide Maspero, Riccardo Colombo, Giancarlo Mauri

Bioinform., 2017