MAGNI, PAOLO

MAGNI, PAOLO  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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'Indolent' myelofibrosis with myeloid metaplasia: specific clinical features and prognosis 1-gen-2006 M., Marchetti; Rognoni, Carla; Pastorino, Roberta; U., Magrini; Invernizzi, Rosangela; G. I., Viarengo; Magni, Paolo; Bellazzi, Riccardo; G., Bergamaschi; V., Rosti; M., Massa; G., Barosi
2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: A randomised crossover trial 1-gen-2015 Kropff, Jort; Del Favero, Simone; Place, Jerome; Toffanin, Chiara; Visentin, Roberto; Monaro, Marco; Messori, Mirko; DI PALMA, Federico; Lanzola, Giordano; Farret, Anne; Boscari, Federico; Galasso, Silvia; Magni, Paolo; Avogaro, Angelo; Keith Hynes, Patrick; Kovatchev, Boris P.; Bruttomesso, Daniela; Cobelli, Claudio; Devries, J. Hans; Renard, Eric; Magni, Lalo
A Bayesian approach to non-parametric AUC estimation in population studies 1-gen-2003 Magni, Paolo; Bellazzi, Riccardo; DE NICOLAO, Giuseppe; Simeoni, Monica; Germani, MASSIMILIANO ENRICO; I., Poggesi; M., Rocchetti
A Bayesian method for clustering gene expression temporal profiles from microarray data 1-gen-2004 Ferrazzi, Fulvia; Magni, Paolo; Bellazzi, Riccardo
A Bayesian nonparametric approach to AUC determination in population studies 1-gen-2000 Magni, Paolo; Bellazzi, Riccardo; DE NICOLAO, Giuseppe; M., Rocchetti; I., Poggesi
A BioBrick-compatible Vector for Allelic Replacement Using the XylE Gene as Selection Marker 1-gen-2016 Casanova, Michela; Pasotti, Lorenzo; Zucca, Susanna; Politi, Nicolo'; Massaiu, Ilaria; Calvio, Cinzia; CUSELLA DE ANGELIS, MARIA GABRIELLA; Magni, Paolo
A bioinformatic approach to predict the cross-kingdompotential of plant miRNA in humans 1-gen-2018 Bellato, M; Pasotti, L.; DE MARCHI, Davide; Gualtieri, Carla; Magni, P.; Balestrazzi, A.; Macovei, A.
A bioinformatic pipeline for identifying bacterial constitutive promoters based on transcriptomic data analysis 1-gen-2023 Dallera, D.; Quaranta, S.; De Marchi, D.; Cipriano, G.; Magni, P.; Pasotti, L.
A Bioinformatic Pipeline Supporting the Selection of Bacterial Promoters with Target Features from the Analysis of Transcriptomic Data 1-gen-2023 Dallera, D.; Quaranta, S.; De Marchi, D.; Cipriano, G.; Magni, P.; Pasotti, L.
A Bioinformatics Approach to Explore MicroRNAs as Tools to Bridge Pathways Between Plants and Animals. Is DNA Damage Response (DDR) a Potential Target Process? 1-gen-2019 Bellato, M.; De Marchi, D.; Gualtieri, C.; Sauta, E.; Magni, P.; Macovei, A.; Pasotti, L.
A clinical trial simulator to predict the effect of an adaptive dosing regimen of an investigated compound on platelets, white blood cells and haematocrit in patients with Polycythemia Vera 1-gen-2022 Tosca, E. M.; Bartolucci, R.; Castellano, S.; Fiorentini, F.; Manzoni, S.; Di Tollo, S.; Caserini, M.; Rocchetti, M.; Bettica, P.; Magni, P.
A comparison of eVai, CADD and VVP variant prediction results on the ICR639 hereditary cancer dataset 1-gen-2019 Nicora, G.; Limongelli, I.; Zucca, S.; Santolisier, R.; Magni, P.; Bellazzi, R.
A data mining approach to evaluate the performance of recruitment centres in antidepressant drug clinical trials 1-gen-2010 Terranova, Nadia; R., Gomeni; I., Poggesi; Magni, Paolo
A Dynamic Energy Budget (DEB) based modeling framework to describe tumor-in-host growth inhibition and cachexia onset during anticancer treatment in in vivo xenograft studies 1-gen-2021 Tosca, E. M.; Rocchetti, M.; Magni, P.
A genetic algorithm for covariate selection 1-gen-2021 Bartolucci, R.; Tosca, E. M.; Magni, P.
A Herarchichal Naive Bayes Model for handling sample heterogeneity in classfication problems: an application to Tissue Microarrays 1-gen-2006 F., Demichelis; Magni, Paolo; Piergiorgi, Paolo; M. A., Rubin; Bellazzi, Riccardo
A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization 1-gen-2022 Nicora, G.; Zucca, S.; Limongelli, I.; Bellazzi, R.; Magni, P.
A machine learning approach for the detection of incidental findings in genetic testing 1-gen-2023 Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S.
A machine learning approach for the detection of incidental findings in genetic testing 1-gen-2023 Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S.
A Markov decision process: screening hereditary hemochromatosis 1-gen-1999 M., Marchetti; Magni, Paolo; Quaglini, Silvana; G., Barosi