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Paolo Magni
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2020 – today
- 2023
- [j28]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: 107517 (2023)
2010 – 2019
- 2019
- [j27]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): 248-258 (2019) - 2016
- [j26]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): 15-26 (2016) - 2015
- [j25]Alessandra Tiengo, Lorenzo Pasotti, Nicola Barbarini, Paolo Magni:
PhosphoHunter: An Efficient Software Tool for Phosphopeptide Identification. Adv. Bioinformatics 2015: 382869:1-382869:12 (2015) - [j24]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): S6 (2015) - [c13]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: 953-956 - 2012
- [j23]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): S11 (2012) - [j22]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): 162-174 (2012) - [j21]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): 2161-2170 (2012) - 2011
- [j20]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): 1425-1430 (2011) - 2010
- [j19]Nicola Barbarini, Paolo Magni:
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies. BMC Bioinform. 11: 518 (2010)
2000 – 2009
- 2009
- [j18]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): 11 (2009) - 2008
- [j17]Paolo Magni, Fulvia Ferrazzi, Lucia Sacchi, Riccardo Bellazzi:
TimeClust: a clustering tool for gene expression time series. Bioinform. 24(3): 430-432 (2008) - [j16]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): 2683-2690 (2008) - 2007
- [j15]Nicola Barbarini, Paolo Magni, Riccardo Bellazzi:
A procedure to decompose high resolution mass spectra. BMC Bioinform. 8(S-8) (2007) - [j14]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): S462-S475 (2007) - [j13]Lucia Sacchi, Cristiana Larizza, Paolo Magni, Riccardo Bellazzi:
Precedence Temporal Networks to represent temporal relationships in gene expression data. J. Biomed. Informatics 40(6): 761-774 (2007) - 2006
- [j12]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: 514 (2006) - [j11]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): 977-985 (2006) - [c12]Nicola Barbarini, Paolo Magni, Riccardo Bellazzi:
A New Approach for the Analysis of Mass Spectrometry Data for Biomarker Discovery. AMIA 2006 - [c11]Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Riccardo Bellazzi:
Inferring gene expression networks via static and dynamic data integration. MIE 2006: 119-124 - 2005
- [j10]Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi:
Temporal data mining for the quality assessment of hemodialysis services. Artif. Intell. Medicine 34(1): 25-39 (2005) - [j9]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): 505-517 (2005) - [c10]Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni:
Learning Rules with Complex Temporal Patterns in Biomedical Domains. AIME 2005: 23-32 - [c9]Lucia Sacchi, Riccardo Bellazzi, Riccardo Porreca, Cristiana Larizza, Paolo Magni:
Precedence Temporal Networks from Gene Expression Data. CBMS 2005: 109-114 - 2004
- [c8]Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan:
Clustering gene expression data with Temporal Abstractions. MedInfo 2004: 798-802 - 2003
- [j8]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): 131-151 (2003) - [c7]Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi:
Quality Assessment of Hemodialysis Services through Temporal Data Mining. AIME 2003: 11-20 - 2001
- [j7]Paolo Magni, Giuseppe De Nicolao, Lorenza Magnani, Riccardo Scattolini:
A stabilizing model-based predictive control algorithm for nonlinear systems. Autom. 37(9): 1351-1362 (2001) - [j6]Paolo Magni, Giuseppe De Nicolao, Riccardo Scattolini:
Output feedback and tracking of nonlinear systems with model predictive control. Autom. 37(10): 1601-1607 (2001) - [c6]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: 121-130 - [c5]Riccardo Bellazzi, Paolo Magni, Roberto Bellazzi:
Improving Dialysis Services through Information Technology: From Telemedicine to Data Mining. MedInfo 2001: 795-799 - 2000
- [j5]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): 37-57 (2000) - [j4]Paolo Magni, Silvana Quaglini, Monia Marchetti, Giovanni Barosi:
Deciding when to intervene: a Markov decision process approach. Int. J. Medical Informatics 60(3): 237-253 (2000) - [j3]Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao:
Bayesian analysis of blood glucose time series from diabetes home monitoring. IEEE Trans. Biomed. Eng. 47(7): 971-975 (2000)
1990 – 1999
- 1999
- [c4]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: 261-270 - 1998
- [j2]Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao:
Bayesian Function Learning Using MCMC Methods. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1319-1331 (1998) - [c3]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 - [c2]Paolo Magni:
A new approach to optimal dynamic therapy planning. AMIA 1998 - [c1]Paolo Magni, Riccardo Bellazzi, Franco Locatelli:
Using uncertainty management techniques in medical therapy planning: A decision-theoretic approach. Applications of Uncertainty Formalisms 1998: 38-57 - 1997
- [j1]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): 245-262 (1997)
Coauthor Index
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