Paolo Magni

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 3

Top Topics

Genetic Optimization

Dc Dc Converter

Escherichia Coli

Correlation Matrix

Top Venues

IEEE Trans. Biomed. Circuits Syst.

Adv. Bioinformatics

BMC Syst. Biol.

Publications

Alessandro De Carlo, Elena Maria Tosca, Nicola Melillo, Paolo Magni
mvLognCorrEst: an R package for sampling from multivariate lognormal distributions and estimating correlations from uncomplete correlation matrix. Comput. Methods Programs Biomed. 235 (2023)
Lorenzo Pasotti, Massimo Bellato, Nicolò Politi, Michela Casanova, Susanna Zucca, Maria Gabriella Cusella De Angelis, Paolo Magni
A Synthetic Close-Loop Controller Circuit for the Regulation of an Extracellular Molecule by Engineered Bacteria. IEEE Trans. Biomed. Circuits Syst. 13 (1) (2019)
Susanna Zucca, Margherita Villaraggia, Stella Gagliardi, Gaetano Salvatore Grieco, Marialuisa Valente, Cristina Cereda, Paolo Magni
Analysis of amplicon-based NGS data from neurological disease gene panels: a new method for allele drop-out management. BMC Bioinform. 17 (S-12) (2016)
Nicolò Politi, Lorenzo Pasotti, Susanna Zucca, Paolo Magni
Modelling the effects of cell-to-cell variability on the output of interconnected gene networks in bacterial populations. BMC Syst. Biol. 9 (S-3) (2015)
Alessandra Tiengo, Lorenzo Pasotti, Nicola Barbarini, Paolo Magni
PhosphoHunter: An Efficient Software Tool for Phosphopeptide Identification. Adv. Bioinformatics 2015 (2015)
Lorenzo Pasotti, Susanna Zucca, Michela Casanova, Nicolò Politi, Ilaria Massaiu, Giuliano Mazzini, Giuseppina Micoli, Cinzia Calvio, Maria Gabriella Cusella De Angelis, Paolo Magni
Methods for genetic optimization of biocatalysts for biofuel production from dairy waste through synthetic biology. EMBC (2015)
Nadia Terranova, Paolo Magni
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. Comput. Methods Programs Biomed. 105 (2) (2012)
Susanna Zucca, Lorenzo Pasotti, Giuliano Mazzini, Maria Gabriella Cusella De Angelis, Paolo Magni
Characterization of an inducible promoter in different DNA copy number conditions. BMC Bioinform. 13 (S-4) (2012)
Paolo Magni, Nadia Terranova, Francesca Del Bene, Massimiliano Germani, Giuseppe De Nicolao
A Minimal Model of Tumor Growth Inhibition in Combination Regimens Under the Hypothesis of No Interaction Between Drugs. IEEE Trans. Biomed. Eng. 59 (8) (2012)
Paolo Magni, Angela Simeone, Sandra Healy, Antonella Isacchi, Roberta Bosotti
Summarizing Probe Intensities of Affymetrix GeneChip 3' Expression Arrays Taking into Account Day-to-Day Variability. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (5) (2011)
Nicola Barbarini, Paolo Magni
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies. BMC Bioinform. 11 (2010)
Alessandra Tiengo, Nicola Barbarini, Sonia Troiani, Luisa Rusconi, Paolo Magni
A Perl procedure for protein identification by Peptide Mass Fingerprinting. BMC Bioinform. 10 (S-12) (2009)
Paolo Magni, Fulvia Ferrazzi, Lucia Sacchi, Riccardo Bellazzi
TimeClust: a clustering tool for gene expression time series. Bioinform. 24 (3) (2008)
Paolo Magni, Massimiliano Germani, Giuseppe De Nicolao, Giulia Bianchini, Monica Simeoni, Italo Poggesi, Maurizio Rocchetti
A Minimal Model of Tumor Growth Inhibition. IEEE Trans. Biomed. Eng. 55 (12) (2008)
Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Angelo Nuzzo, Uros Petrovic, Riccardo Bellazzi
Inferring gene regulatory networks by integrating static and dynamic data. Int. J. Medical Informatics 76 (S3) (2007)
Nicola Barbarini, Paolo Magni, Riccardo Bellazzi
A procedure to decompose high resolution mass spectra. BMC Bioinform. 8 (S-8) (2007)
Lucia Sacchi, Cristiana Larizza, Paolo Magni, Riccardo Bellazzi
Precedence Temporal Networks to represent temporal relationships in gene expression data. J. Biomed. Informatics 40 (6) (2007)
Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Riccardo Bellazzi
Inferring gene expression networks via static and dynamic data integration. MIE (2006)
Nicola Barbarini, Paolo Magni, Riccardo Bellazzi
A New Approach for the Analysis of Mass Spectrometry Data for Biomarker Discovery. AMIA (2006)
Francesca Demichelis, Paolo Magni, Paolo Piergiorgi, Mark A. Rubin, Riccardo Bellazzi
A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays. BMC Bioinform. 7 (2006)
Paolo Magni, Riccardo Bellazzi
A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring. IEEE Trans. Biomed. Eng. 53 (6) (2006)
Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi
Temporal data mining for the quality assessment of hemodialysis services. Artif. Intell. Medicine 34 (1) (2005)
Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni
Learning Rules with Complex Temporal Patterns in Biomedical Domains. AIME (2005)
Lucia Sacchi, Riccardo Bellazzi, Riccardo Porreca, Cristiana Larizza, Paolo Magni
Precedence Temporal Networks from Gene Expression Data. CBMS (2005)
Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan
TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions. Int. J. Medical Informatics 74 (7-8) (2005)
Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan
Clustering gene expression data with Temporal Abstractions. MedInfo (2004)
Stefania Montani, Paolo Magni, Riccardo Bellazzi, Cristiana Larizza, Abdul V. Roudsari, Ewart R. Carson
Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients. Artif. Intell. Medicine 29 (1-2) (2003)
Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi
Quality Assessment of Hemodialysis Services through Temporal Data Mining. AIME (2003)
Paolo Magni, Giuseppe De Nicolao, Lorenza Magnani, Riccardo Scattolini
A stabilizing model-based predictive control algorithm for nonlinear systems. Autom. 37 (9) (2001)
Paolo Magni, Giuseppe De Nicolao, Riccardo Scattolini
Output feedback and tracking of nonlinear systems with model predictive control. Autom. 37 (10) (2001)
Stefania Montani, Paolo Magni, Abdul V. Roudsari, Ewart R. Carson, Riccardo Bellazzi
Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients. AIME (2001)
Riccardo Bellazzi, Paolo Magni, Roberto Bellazzi
Improving Dialysis Services through Information Technology: From Telemedicine to Data Mining. MedInfo (2001)
Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Mario Stefanelli
Intelligent analysis of clinical time series: an application in the diabetes mellitus domain. Artif. Intell. Medicine 20 (1) (2000)
Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao
Bayesian analysis of blood glucose time series from diabetes home monitoring. IEEE Trans. Biomed. Eng. 47 (7) (2000)
Paolo Magni, Silvana Quaglini, Monia Marchetti, Giovanni Barosi
Deciding when to intervene: a Markov decision process approach. Int. J. Medical Informatics 60 (3) (2000)
Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Giuseppe De Nicolao
Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions. AIMDM (1999)
Paolo Magni
A new approach to optimal dynamic therapy planning. AMIA (1998)
Riccardo Bellazzi, Paolo Magni, Cristiana Larizza, Giuseppe De Nicolao, Alberto Riva, Mario Stefanelli
Mining biomedical time series by combining structural analysis and temporal abstractions. AMIA (1998)
Paolo Magni, Riccardo Bellazzi, Franco Locatelli
Using uncertainty management techniques in medical therapy planning: A decision-theoretic approach. Applications of Uncertainty Formalisms (1998)
Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao
Bayesian Function Learning Using MCMC Methods. IEEE Trans. Pattern Anal. Mach. Intell. 20 (12) (1998)
Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao
Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach. Intell. Data Anal. 1 (1-4) (1997)