Paolo Magni

According to our database, Paolo Magni authored at least 42 papers between 1997 and 2025.

Collaborative distances:

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

2025

AI Models Predicting Methylation Status from DNA Sequence: What is Missing?

Andrei Stefan Blindu, Silvia Berardelli, Federica De Paoli, Rossella Tricarico, Susanna Zucca, Paolo Magni

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2023

mvLognCorrEst: an R package for sampling from multivariate lognormal distributions and estimating correlations from uncomplete correlation matrix.

Alessandro De Carlo, Elena Maria Tosca, Nicola Melillo, Paolo Magni

Comput. Methods Programs Biomed., June, 2023

2019

A Synthetic Close-Loop Controller Circuit for the Regulation of an Extracellular Molecule by Engineered Bacteria.

Lorenzo Pasotti, Massimo Bellato, Nicolò Politi, Michela Casanova, Susanna Zucca, Maria Gabriella Cusella De Angelis, Paolo Magni

IEEE Trans. Biomed. Circuits Syst., 2019

2016

Analysis of amplicon-based NGS data from neurological disease gene panels: a new method for allele drop-out management.

Susanna Zucca, Margherita Villaraggia, Stella Gagliardi, Gaetano Salvatore Grieco, Marialuisa Valente, Cristina Cereda, Paolo Magni

BMC Bioinform., 2016

2015

Modelling the effects of cell-to-cell variability on the output of interconnected gene networks in bacterial populations.

Nicolò Politi, Lorenzo Pasotti, Susanna Zucca, Paolo Magni

BMC Syst. Biol., 2015

PhosphoHunter: An Efficient Software Tool for Phosphopeptide Identification.

Alessandra Tiengo, Lorenzo Pasotti, Nicola Barbarini, Paolo Magni

Adv. Bioinformatics, 2015

Methods for genetic optimization of biocatalysts for biofuel production from dairy waste through synthetic biology.

Lorenzo Pasotti, Susanna Zucca, Michela Casanova, Nicolò Politi, Ilaria Massaiu, Giuliano Mazzini, Giuseppina Micoli, Cinzia Calvio, Maria Gabriella Cusella De Angelis, Paolo Magni

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2012

A Minimal Model of Tumor Growth Inhibition in Combination Regimens Under the Hypothesis of No Interaction Between Drugs.

Paolo Magni, Nadia Terranova, Francesca Del Bene, Massimiliano Germani, Giuseppe De Nicolao

IEEE Trans. Biomed. Eng., 2012

TGI-Simulator: A visual tool to support the preclinical phase of the drug discovery process by assessing in silico the effect of an anticancer drug.

Nadia Terranova, Paolo Magni

Comput. Methods Programs Biomed., 2012

Characterization of an inducible promoter in different DNA copy number conditions.

Susanna Zucca, Lorenzo Pasotti, Giuliano Mazzini, Maria Gabriella Cusella De Angelis, Paolo Magni

BMC Bioinform., 2012

2011

Summarizing Probe Intensities of Affymetrix GeneChip 3' Expression Arrays Taking into Account Day-to-Day Variability.

Paolo Magni, Angela Simeone, Sandra Healy, Antonella Isacchi, Roberta Bosotti

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010

Accurate peak list extraction from proteomic mass spectra for identification and profiling studies.

Nicola Barbarini, Paolo Magni

BMC Bioinform., 2010

2009

A Perl procedure for protein identification by Peptide Mass Fingerprinting.

Alessandra Tiengo, Nicola Barbarini, Sonia Troiani, Luisa Rusconi, Paolo Magni

BMC Bioinform., 2009

2008

A Minimal Model of Tumor Growth Inhibition.

Paolo Magni, Massimiliano Germani, Giuseppe De Nicolao, Giulia Bianchini, Monica Simeoni, Italo Poggesi, Maurizio Rocchetti

IEEE Trans. Biomed. Eng., 2008

TimeClust: a clustering tool for gene expression time series.

Paolo Magni, Fulvia Ferrazzi, Lucia Sacchi, Riccardo Bellazzi

Bioinform., 2008

2007

Precedence Temporal Networks to represent temporal relationships in gene expression data.

Lucia Sacchi, Cristiana Larizza, Paolo Magni, Riccardo Bellazzi

J. Biomed. Informatics, 2007

Inferring gene regulatory networks by integrating static and dynamic data.

Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Angelo Nuzzo, Uros Petrovic, Riccardo Bellazzi

Int. J. Medical Informatics, 2007

A procedure to decompose high resolution mass spectra.

Nicola Barbarini, Paolo Magni, Riccardo Bellazzi

BMC Bioinform., 2007

2006

A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring.

Paolo Magni, Riccardo Bellazzi

IEEE Trans. Biomed. Eng., 2006

A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays.

Francesca Demichelis, Paolo Magni, Paolo Piergiorgi, Mark A. Rubin, Riccardo Bellazzi

BMC Bioinform., 2006

Inferring gene expression networks via static and dynamic data integration.

Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Riccardo Bellazzi

Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

A New Approach for the Analysis of Mass Spectrometry Data for Biomarker Discovery.

Nicola Barbarini, Paolo Magni, Riccardo Bellazzi

Proceedings of the AMIA 2006, 2006

2005

TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions.

Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan

Int. J. Medical Informatics, 2005

Temporal data mining for the quality assessment of hemodialysis services.

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi

Artif. Intell. Medicine, 2005

Precedence Temporal Networks from Gene Expression Data.

Lucia Sacchi, Riccardo Bellazzi, Riccardo Porreca, Cristiana Larizza, Paolo Magni

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Learning Rules with Complex Temporal Patterns in Biomedical Domains.

Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni

Proceedings of the Artificial Intelligence in Medicine, 2005

2004

Clustering gene expression data with Temporal Abstractions.

Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan

Proceedings of the MEDINFO 2004, 2004

2003

Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients.

Stefania Montani, Paolo Magni, Riccardo Bellazzi, Cristiana Larizza, Abdul V. Roudsari, Ewart R. Carson

Artif. Intell. Medicine, 2003

Quality Assessment of Hemodialysis Services through Temporal Data Mining.

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi

Proceedings of the Artificial Intelligence in Medicine, 2003

2001

Output feedback and tracking of nonlinear systems with model predictive control.

Paolo Magni, Giuseppe De Nicolao, Riccardo Scattolini

Autom., 2001

A stabilizing model-based predictive control algorithm for nonlinear systems.

Paolo Magni, Giuseppe De Nicolao, Lorenza Magnani, Riccardo Scattolini

Autom., 2001

Improving Dialysis Services through Information Technology: From Telemedicine to Data Mining.

Riccardo Bellazzi, Paolo Magni, Roberto Bellazzi

Proceedings of the MEDINFO 2001, 2001

Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients.

Stefania Montani, Paolo Magni, Abdul V. Roudsari, Ewart R. Carson, Riccardo Bellazzi

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Bayesian analysis of blood glucose time series from diabetes home monitoring.

Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao

IEEE Trans. Biomed. Eng., 2000

Deciding when to intervene: a Markov decision process approach.

Paolo Magni, Silvana Quaglini, Monia Marchetti, Giovanni Barosi

Int. J. Medical Informatics, 2000

Intelligent analysis of clinical time series: an application in the diabetes mellitus domain.

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Mario Stefanelli

Artif. Intell. Medicine, 2000

1999

Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions.

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Giuseppe De Nicolao

Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998

Bayesian Function Learning Using MCMC Methods.

Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao

IEEE Trans. Pattern Anal. Mach. Intell., 1998

Using uncertainty management techniques in medical therapy planning: A decision-theoretic approach.

Paolo Magni, Riccardo Bellazzi, Franco Locatelli

Proceedings of the Applications of Uncertainty Formalisms, 1998

A new approach to optimal dynamic therapy planning.

Paolo Magni

Proceedings of the AMIA 1998, 1998

Mining biomedical time series by combining structural analysis and temporal abstractions.

Riccardo Bellazzi, Paolo Magni, Cristiana Larizza, Giuseppe De Nicolao, Alberto Riva, Mario Stefanelli

Proceedings of the AMIA 1998, 1998

1997

Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach.

Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao

Intell. Data Anal., 1997