BOBBO, TANIA
BOBBO, TANIA
Istituto di Tecnologie Biomediche - ITB
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
Modelling GxE Interactions in Peach Trees (Prunus persica): A Multi-Year, Multi-Site Trial
2023 Biscarini, Filippo; Rossini, L; Bassi, D; Cirilli, M; Drogoudi, P; Eduardo, I; Costerrer, Je; Bobbo, T
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 |
|---|---|---|---|
| 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 | |
| Modelling GxE Interactions in Peach Trees (Prunus persica): A Multi-Year, Multi-Site Trial | 1-gen-2023 | Biscarini, Filippo; Rossini, L; Bassi, D; Cirilli, M; Drogoudi, P; Eduardo, I; Costerrer, Je; Bobbo, T | |
| 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, |