MAGNI, PAOLO
MAGNI, PAOLO
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
'Indolent' myelofibrosis with myeloid metaplasia: specific clinical features and prognosis
2006-01-01 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
2015-01-01 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
2003-01-01 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
2004-01-01 Ferrazzi, Fulvia; Magni, Paolo; Bellazzi, Riccardo
A Bayesian nonparametric approach to AUC determination in population studies
2000-01-01 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
2016-01-01 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
2018-01-01 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
2023-01-01 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
2023-01-01 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?
2019-01-01 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
2022-01-01 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
2019-01-01 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
2010-01-01 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
2021-01-01 Tosca, E. M.; Rocchetti, M.; Magni, P.
A genetic algorithm for covariate selection
2021-01-01 Bartolucci, R.; Tosca, E. M.; Magni, P.
A Herarchichal Naive Bayes Model for handling sample heterogeneity in classfication problems: an application to Tissue Microarrays
2006-01-01 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
2022-01-01 Nicora, G.; Zucca, S.; Limongelli, I.; Bellazzi, R.; Magni, P.
A machine learning approach for the detection of incidental findings in genetic testing
2023-01-01 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
2023-01-01 Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S.
A Markov decision process: screening hereditary hemochromatosis
1999-01-01 M., Marchetti; Magni, Paolo; Quaglini, Silvana; G., Barosi
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| '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 |