GALIMBERTI, GIULIANO
GALIMBERTI, GIULIANO
STAT - DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"
Docenti di ruolo di Ia fascia
Using mixtures in seemingly unrelated linear regression models with non-normal errors
In corso di stampa Galimberti, Giuliano; Scardovi, Elena; Soffritti, Gabriele
Application of artificial intelligence in livestock genomics: combining random forest and Boruta algorithm to identify informative single nucleotide polymorphisms across pig breeds
2025 Schiavo, G.; Bovo, S.; Bertolini, F.; Bolner, M.; Ribani, A.; Taurisano, V.; Galimberti, G.; Gallo, M.; Fontanesi, L.
Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma
2025 Bovo, Samuele; Bolner, Matteo; Schiavo, Giuseppina; Galimberti, Giuliano; Bertolini, Francesca; Dall'Olio, Stefania; Ribani, Anisa; Zambonelli, Paolo; Gallo, Maurizio; Fontanesi, Luca
Exploring the animal molecular phenome with machine learning algorithms: mining the plasma metabolome to describe differences between breeds
2025 Bovo, S.; Bolner, M.; Schiavo, G.; Galimberti, G.; Bertolini, F.; Ribani, A.; Gallo, M.; Dall’Olio, S.; Fontanesi, L.
High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds
2025 Bovo, S.; Bolner, M.; Schiavo, G.; Galimberti, G.; Bertolini, F.; Dall'Olio, S.; Ribani, A.; Zambonelli, P.; Gallo, M.; Fontanesi, L.
Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways
2025 Bovo, S; Ribani, A; Fanelli, F; Galimberti, G; Martelli, Pl; Trevisi, P; Bertolini, F; Bolner, M; Casadio, R; Dall'Olio, S; Gallo, M; Luise, D; Mazzoni, G; Schiavo, G; Taurisano, V; Zambonelli, P; Bosi, P; Pagotto, U; Fontanesi, L
Identification of population-informative markers from high-density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds
2024 Schiavo G.; Bertolini F.; Bovo S.; Galimberti G.; Munoz M.; Bozzi R.; Candek-Potokar M.; Ovilo C.; Fontanesi L.
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
2024 Berrettini, Marco; Galimberti, Giuliano; Ranciati, Saverio; Murphy, Thomas Brendan
Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea
2024 Bonino G.; Galimberti G.; Masina S.; McAdam R.; Clementi E.
Mixtures of Probit Regression Models with Overlapping Clusters
2024 Ranciati, Saverio; Vinciotti, Veronica; Wit, Ernst C.; Galimberti, Giuliano
Molecular phenotyping through metabolomic analyses in pig breeds
2024 Bolner, M.; Bovo, S.; Schiavo, G.; Galimberti, G.; Bertolini, F.; Ribani, A.; Gallo, M.; Dall'Olio, S.; Fontanesi, L.
Combined targeted and untargeted metabolomics in pigs coupled with genomic information: Towards a comprehensive genetic characterization of the pig metabolome
2023 S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, M. Gallo, G. Galimberti, Stefania Dall’Olio, PL. Martelli, R. Casadio, U. Pagotto, L. Fontanesi
Comparative targeted metabolomic profiles of porcine plasma and serum
2023 Bovo, Samuele; Schiavo, Giuseppina; Galimberti, Giuliano; Fanelli, Flaminia; Bertolini, Francesca; Dall'Olio, Stefania; Pagotto, Uberto; Fontanesi, Luca
How heritable are metabolomic features? An omic based approach in pigs
2023 S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, V. Taurisano, M. Gallo, G. Galimberti, S. Dall’olio, P.L. Martelli, R. Casadio, U. Pagotto, L. Fontanesi
Modelling soccer players field position via mixture of Gaussians with flexible weights
2023 Berrettini, Marco; Galimberti, Giuliano; Brendan Murphy, Thomas; Ranciati, Saverio
Semiparametric finite mixture of regression models with Bayesian P-splines
2023 Berrettini, M; Galimberti, G; Ranciati, S
Southern Europe and western Asian marine heatwaves (SEWA-MHWs): A dataset based on macroevents
2023 Bonino G.; Masina S.; Galimberti G.; Moretti M.
Whole metabolome and genome analyses provide information on the genetic variability affecting the metabolism in pigs
2023 Samuele Bovo,Giuseppina Schiavo, Flaminia Fanelli, Anisa Ribani, Francesca Bertolini, Maurizio Gallo, Giuliano Galimberti, Stefania Dall'olio, Pier Luigi Martelli, Rita Casadio, Uberto Pagatto, Luca Fontanesi
Multivariate cluster-weighted models based on seemingly unrelated linear regression
2022 Cecilia Diani; Giuliano Galimberti; Gabriele Soffritti
Unravelling the genetic basis governing the porcine metabolism
2022 Bovo S., Schiavo G., Fanelli F., Ribani A., Bertolini F., Utzeri V.J., Gallo M., Galimberti G., Dall'Olio S., Martelli P.L., Casadio R., Pagotto U., Fontanesi L.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Using mixtures in seemingly unrelated linear regression models with non-normal errors | Galimberti, Giuliano; Scardovi, Elena; Soffritti, Gabriele | 9999-01-01 | STATISTICS AND COMPUTING | - | 1.01 Articolo in rivista | - |
| Application of artificial intelligence in livestock genomics: combining random forest and Boruta algorithm to identify informative single nucleotide polymorphisms across pig breeds | Schiavo, G.; Bovo, S.; Bertolini, F.; Bolner, M.; Ribani, A.; Taurisano, V.; Galimberti, G.; Gall...o, M.; Fontanesi, L. | 2025-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma | Bovo, Samuele; Bolner, Matteo; Schiavo, Giuseppina; Galimberti, Giuliano; Bertolini, Francesca; D...all'Olio, Stefania; Ribani, Anisa; Zambonelli, Paolo; Gallo, Maurizio; Fontanesi, Luca | 2025-01-01 | JOURNAL OF ANIMAL SCIENCE | - | 1.01 Articolo in rivista | skaf178.pdf; skaf178_suppl_supplementary_tables_s1-s3_figure_s1.docx |
| Exploring the animal molecular phenome with machine learning algorithms: mining the plasma metabolome to describe differences between breeds | Bovo, S.; Bolner, M.; Schiavo, G.; Galimberti, G.; Bertolini, F.; Ribani, A.; Gallo, M.; Dall’Oli...o, S.; Fontanesi, L. | 2025-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds | Bovo, S.; Bolner, M.; Schiavo, G.; Galimberti, G.; Bertolini, F.; Dall'Olio, S.; Ribani, A.; Zamb...onelli, P.; Gallo, M.; Fontanesi, L. | 2025-01-01 | ANIMAL | - | 1.01 Articolo in rivista | 1-s2.0-S1751731124003306-main.pdf; 1-s2.0-S1751731124003306-mmc1.pdf |
| Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways | Bovo, S; Ribani, A; Fanelli, F; Galimberti, G; Martelli, Pl; Trevisi, P; Bertolini, F; Bolner, M;... Casadio, R; Dall'Olio, S; Gallo, M; Luise, D; Mazzoni, G; Schiavo, G; Taurisano, V; Zambonelli, P; Bosi, P; Pagotto, U; Fontanesi, L | 2025-01-01 | GENETICS SELECTION EVOLUTION | - | 1.01 Articolo in rivista | s12711-025-00960-8.pdf; 12711_2025_960_MOESM1_ESM.xlsx; 12711_2025_960_MOESM2_ESM.docx; 12711_2025_960_MOESM3_ESM.docx; 12711_2025_960_MOESM4_ESM.docx |
| Identification of population-informative markers from high-density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds | Schiavo G.; Bertolini F.; Bovo S.; Galimberti G.; Munoz M.; Bozzi R.; Candek-Potokar M.; Ovilo C....; Fontanesi L. | 2024-01-01 | ANIMAL GENETICS | - | 1.01 Articolo in rivista | Animal Genetics_2024_Schiavo_ML.pdf |
| Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects | Berrettini, Marco; Galimberti, Giuliano; Ranciati, Saverio; Murphy, Thomas Brendan | 2024-01-01 | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | - | 1.01 Articolo in rivista | JRSSC-Oct-2021-0295R4.pdf |
| Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea | Bonino G.; Galimberti G.; Masina S.; McAdam R.; Clementi E. | 2024-01-01 | OCEAN SCIENCE | - | 1.01 Articolo in rivista | os-20-417-2024.pdf |
| Mixtures of Probit Regression Models with Overlapping Clusters | Ranciati, Saverio; Vinciotti, Veronica; Wit, Ernst C.; Galimberti, Giuliano | 2024-01-01 | BAYESIAN ANALYSIS | - | 1.01 Articolo in rivista | 23-BA1372.pdf |
| Molecular phenotyping through metabolomic analyses in pig breeds | Bolner, M.; Bovo, S.; Schiavo, G.; Galimberti, G.; Bertolini, F.; Ribani, A.; Gallo, M.; Dall'Oli...o, S.; Fontanesi, L. | 2024-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Combined targeted and untargeted metabolomics in pigs coupled with genomic information: Towards a comprehensive genetic characterization of the pig metabolome |
S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, M. Gallo, G. Galimberti, Stefani...a Dall’Olio, PL. Martelli, R. Casadio, U. Pagotto, L. Fontanesi |
2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Comparative targeted metabolomic profiles of porcine plasma and serum | Bovo, Samuele; Schiavo, Giuseppina; Galimberti, Giuliano; Fanelli, Flaminia; Bertolini, Francesca...; Dall'Olio, Stefania; Pagotto, Uberto; Fontanesi, Luca | 2023-01-01 | ANIMAL | - | 1.01 Articolo in rivista | 1-s2.0-S1751731123003464-main.pdf |
| How heritable are metabolomic features? An omic based approach in pigs |
S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, V. Taurisano, M. Gallo, G. Galimberti, ...S. Dall’olio, P.L. Martelli, R. Casadio, U. Pagotto, L. Fontanesi |
2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Modelling soccer players field position via mixture of Gaussians with flexible weights | Berrettini, Marco; Galimberti, Giuliano; Brendan Murphy, Thomas; Ranciati, Saverio | 2023-01-01 | - | Pearson | 4.01 Contributo in Atti di convegno | modelling-soccer-players.pdf |
| Semiparametric finite mixture of regression models with Bayesian P-splines | Berrettini, M; Galimberti, G; Ranciati, S | 2023-01-01 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | - | 1.01 Articolo in rivista | s11634-022-00523-5.pdf |
| Southern Europe and western Asian marine heatwaves (SEWA-MHWs): A dataset based on macroevents | Bonino G.; Masina S.; Galimberti G.; Moretti M. | 2023-01-01 | EARTH SYSTEM SCIENCE DATA | - | 1.01 Articolo in rivista | essd-15-1269-2023.pdf |
| Whole metabolome and genome analyses provide information on the genetic variability affecting the metabolism in pigs | Samuele Bovo,Giuseppina Schiavo, Flaminia Fanelli, Anisa Ribani, Francesca Bertolini, Maurizio Ga...llo, Giuliano Galimberti, Stefania Dall'olio, Pier Luigi Martelli, Rita Casadio, Uberto Pagatto, Luca Fontanesi | 2023-01-01 | ITALIAN JOURNAL OF ANIMAL SCIENCE | - | 4.01 Contributo in Atti di convegno | - |
| Multivariate cluster-weighted models based on seemingly unrelated linear regression | Cecilia Diani; Giuliano Galimberti; Gabriele Soffritti | 2022-01-01 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | - | 1.01 Articolo in rivista | CSDA-D-21-00393R2.pdf |
| Unravelling the genetic basis governing the porcine metabolism | Bovo S., Schiavo G., Fanelli F., Ribani A., Bertolini F., Utzeri V.J., Gallo M., Galimberti G., D...all'Olio S., Martelli P.L., Casadio R., Pagotto U., Fontanesi L. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |