BOBBO, TANIA
BOBBO, TANIA
Istituto di Tecnologie Biomediche - ITB
Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production
2025 Ramirez-Diaz, J.; Manunza, A.; De Oliveira, T. A.; Bobbo, T.; Nutini, F.; Boschetti, M.; De Iorio, M. G.; Pagnacco, G.; Polli, M.; Stella, A.; Minozzi, G.
Exploring the complex population structure and admixture of four local Hungarian sheep breeds
2025 Ramírez-Díaz, J.; Bobbo, T.; Guldbrandtsen, B.; Schönherz, A. A.; Cozzi, P.; Kusza, S.; Sahana, G.; Stella, A.; Manunza, A.
GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life
2025 Yaddehige, S. K.; Vischioni, C.; Berselli, M.; Alberghini, L.; Mezzavilla, M.; Bobbo, T.; Taccioli, C.
Genetic parameters for somatic cell score, differential somatic cell count, and milk electrical conductivity in dairy buffaloes
2025 Diaz, J. R.; Bobbo, T.; Matera, R.; Gomez-Carpio, M.; Cimmino, R.; Pedota, G.; Biffani, S.; Neglia, G.
Editorial: Genetics, genomics and climatic adaptation in tropical conditions
2024 Ramírez-Díaz, Johanna; Manunza, Arianna; Bobbo, Tania; Petrini, Juliana; Rincón-Florez, Juan Carlos
Machine learning classification of archaea and bacteria identifies novel predictive genomic features
2024 Bobbo, Tania; Biscarini, Filippo; Yaddehige, Sachithra K.; Alberghini, Leonardo; Rigoni, Davide; Bianchi, Nicoletta; Taccioli, Cristian
Discovering novel clues of natural selection on four worldwide goat breeds
2023 Manunza, Arianna; Diaz, Johanna Ramirez; Sayre, Brian L.; Cozzi, Paolo; Bobbo, Tania; Deniskova, Tatiana; Dotsev, Arsen; Zinovieva, Natalia; Stella, Alessandra
Exploiting machine learning methods with monthly routine milk recording data and climatic information to predict subclinical mastitis in Italian Mediterranean buffaloes
2023 Bobbo, T; Matera, R; Pedota, G; Manunza, A; Cotticelli, A; Neglia, G; Biffani, S
Exploring the sources of variation of electrical conductivity, total and differential somatic cell count in the Italian Mediterranean Buffaloes
2023 Bobbo T; Matera R; Biffani S; Gomez M; Cimmino R; Pedota G; Neglia
Machine Learning Algorithms Highlight tRNA Information Content and Chargaff's Second Parity Rule Score as Important Features in Discriminating Probiotics from Non-Probiotics
2022 Bergamini; C M;Bianchi N;Giaccone V;Catellani P;Alberghini L;Stella A;Biffani S;Yaddehige; S K;Bobbo T;Taccioli; C
Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows
2021 Bobbo, T; Biffani, S; Taccioli, C; Penasa, M; Cassandro, ; M,
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production | 1-gen-2025 | Ramirez-Diaz, J.; Manunza, A.; De Oliveira, T. A.; Bobbo, T.; Nutini, F.; Boschetti, M.; De Iorio, M. G.; Pagnacco, G.; Polli, M.; Stella, A.; Minozzi, G. | |
| Exploring the complex population structure and admixture of four local Hungarian sheep breeds | 1-gen-2025 | Ramírez-Díaz, J.; Bobbo, T.; Guldbrandtsen, B.; Schönherz, A. A.; Cozzi, P.; Kusza, S.; Sahana, G.; Stella, A.; Manunza, A. | |
| GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life | 1-gen-2025 | Yaddehige, S. K.; Vischioni, C.; Berselli, M.; Alberghini, L.; Mezzavilla, M.; Bobbo, T.; Taccioli, C. | |
| Genetic parameters for somatic cell score, differential somatic cell count, and milk electrical conductivity in dairy buffaloes | 1-gen-2025 | Diaz, J. R.; Bobbo, T.; Matera, R.; Gomez-Carpio, M.; Cimmino, R.; Pedota, G.; Biffani, S.; Neglia, G. | |
| Editorial: Genetics, genomics and climatic adaptation in tropical conditions | 1-gen-2024 | Ramírez-Díaz, Johanna; Manunza, Arianna; Bobbo, Tania; Petrini, Juliana; Rincón-Florez, Juan Carlos | |
| Machine learning classification of archaea and bacteria identifies novel predictive genomic features | 1-gen-2024 | Bobbo, Tania; Biscarini, Filippo; Yaddehige, Sachithra K.; Alberghini, Leonardo; Rigoni, Davide; Bianchi, Nicoletta; Taccioli, Cristian | |
| Discovering novel clues of natural selection on four worldwide goat breeds | 1-gen-2023 | Manunza, Arianna; Diaz, Johanna Ramirez; Sayre, Brian L.; Cozzi, Paolo; Bobbo, Tania; Deniskova, Tatiana; Dotsev, Arsen; Zinovieva, Natalia; Stella, Alessandra | |
| Exploiting machine learning methods with monthly routine milk recording data and climatic information to predict subclinical mastitis in Italian Mediterranean buffaloes | 1-gen-2023 | Bobbo, T; Matera, R; Pedota, G; Manunza, A; Cotticelli, A; Neglia, G; Biffani, S | |
| Exploring the sources of variation of electrical conductivity, total and differential somatic cell count in the Italian Mediterranean Buffaloes | 1-gen-2023 | Bobbo T; Matera R; Biffani S; Gomez M; Cimmino R; Pedota G; Neglia | |
| Machine Learning Algorithms Highlight tRNA Information Content and Chargaff's Second Parity Rule Score as Important Features in Discriminating Probiotics from Non-Probiotics | 1-gen-2022 | Bergamini; C M;Bianchi N;Giaccone V;Catellani P;Alberghini L;Stella A;Biffani S;Yaddehige; S K;Bobbo T;Taccioli; C | |
| Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows | 1-gen-2021 | Bobbo, T; Biffani, S; Taccioli, C; Penasa, M; Cassandro, ; M, |