GUARRACINO, MARIO ROSARIO
GUARRACINO, MARIO ROSARIO
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
EGNAN: An Enhanced Method for Interpretable Graph Neural Networks
2025 Marciano, Chiara; Bernhardt, Brian D.; Maddalena, Lucia; Guarracino, Mario R.
Epigenetic regulation of HOXA2 expression affects tumor progression and predicts breast cancer patient survival
2025 De Palma, Fatima Domenica Elisa; Pol, Jonathan G.; Carbonnier, Vincent; Scuderi, Sarah Adriana; Mannino, Deborah; Montégut, Léa; Sauvat, Allan; Perez-Lanzon, Maria; Uribe-Carretero, Elisabet; Guarracino, Mario; Granata, Ilaria; Calogero, Raffaele; Del Monaco, Valentina; Montanaro, Donatella; Stoll, Gautier; Botti, Gerardo; D'Aiuto, Massimiliano; Baldi, Alfonso; D'Argenio, Valeria; Guigó, Roderic; Rezsohazy, René; Kroemer, Guido; Maiuri, Maria Chiara; Salvatore, Francesco
Machine Learning and Artificial Intelligence for Cell Biology Imaging
2025 Maddalena, L.; Antonelli, L.; Polverino, F.; Asteriti, I. A.; Degrassi, F.; Guarguaglini, G.; Albu, A.; Hada, A.; Guarracino, M. R.
On Risk Assessment Models for Tobacco Products
2025 Maddalena, L.; Del Vecchio Blanco, F.; Yildiz, B.; Guarracino, M. R.
Understanding ESG Scores Through Network Analysis: A Study Using Graph Neural Networks
2025 Bernhardt, Brian Daniel; Marciano, Chiara; Gigli, Sara; Maddalena, Lucia; Guarracino, Mario Rosario
Context-specific essential genes identification and prediction by learning multi-omics and network data
2024 Giordano, Maurizio; Maddalena, Lucia; Manzo, Mario; Guarracino, MARIO ROSARIO; Granata, Ilaria
HELP: A computational framework for labelling and predicting human common and context-specific essential genes
2024 Granata, I.; Maddalena, L.; Manzo, M.; Guarracino, M. R.; Giordano, M.
Machine Learning and Artificial Intelligence for Cell Biology Imaging
2024 Maddalena, L.; Antonelli, L.; Polverino, F.; Asteriti, I. A.; Degrassi, F.; Guarguaglini, G.; Albu, A.; Hada, A.; Guarracino, M. R.
ALFI: Cell cycle phenotype annotations of label-free time-lapse imaging data from cultured human cells
2023 Antonelli, L.; Polverino, F.; Albu, A.; Hada, A.; Asteriti, I. A.; Degrassi, F.; Guarguaglini, G.; Maddalena, L.; Guarracino, M. R.
Bifidobacterium affects antitumor efficacy of oncolytic adenovirus in a mouse model of melanoma
2023 Tripodi, L.; Feola, S.; Granata, I.; Whalley, T.; Passariello, M.; Capasso, C.; Coluccino, L.; Vitale, M.; Scalia, G.; Gentile, L.; De Lorenzo, C.; Guarracino, MARIO ROSARIO; Castaldo, G.; D'Argenio, V.; Szomolay, B.; Cerullo, V.; Pastore, L.
Dataset ALFI: Cell cycle phenotype annotations of label-free time-lapse imaging data from cultured human cells
2023 Antonelli, L.; Polverino, Federica; Albu, A.; Hada, A.; Asteriti, Italia; Degrassi, Francesca; Guarguaglini, G.; Maddalena, L.; Guarracino, M. R.
Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages
2023 Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R.
Network-based computational modeling to unravel gene essentiality
2023 Granata, I.; Giordano, M.; Maddalena, L.; Manzo, M.; Guarracino, M. R.
Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis
2023 Manzo, M; Giordano, M; Maddalena, L; Guarracino, M. R.; Granata, I
OI_AD
2023 Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R.
Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge
2023 Khachatryan, L.; Xiang, Y.; Ivanov, A.; Glaab, E.; Graham, G.; Granata, I.; Giordano, M.; Maddalena, L; Piccirillo, M; Manipur, I; Baruzzo, G.; Cappellato, M; Avot, B; Stan, A; Battey, J; Lo Sasso, G; Boue, S; Ivanov, N. V.; Peitsch, M. C.; Hoeng, J; Falquet, L; Di Camillo, B; Guarracino, M. R.; Ulyantsev, V; Sierro, N; Poussin, C
Artificial Intelligence for Cell Segmentation, Event Detection, and Tracking for Label-free Microscopy Imaging
2022 Maddalena, L.; Antonelli, L.; Albu, A.; Hada, A.; Guarracino, M. R.
Classifying Alzheimer's Disease using MRIs and Transcriptomic Data
2022 Maddalena, Lucia; Granata, Ilaria; Giordano, Maurizio; Manzo, Mario; Guarracino, Mario R.; Alzheimer's Disease Neuroimaging Initiative, (ADNI)
Early anteroposterior regionalisation of human neural crest is shaped by a pro-mesodermal factor
2022 Gogolou, Antigoni; Souilho, Celine; Granata, Ilaria; J Wymeersch, Filip; Manipur, Ichcha; Wind, Matthew; JR Frith, Thomas; Guarini, Maria; Bertero, Alessandro; Bock, Christoph; Halbritter, Florian; Takasato, Minoru; Guarracino, MARIO ROSARIO; Tsakiridis, Anestis
Netpro2vec: a Graph Embedding Framework for Biomedical Applications
2022 Manipur, I; Manzo, M; Granata, I; Giordano, M; Maddalena, L; Guarracino, Mr
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| EGNAN: An Enhanced Method for Interpretable Graph Neural Networks | 1-gen-2025 | Marciano, Chiara; Bernhardt, Brian D.; Maddalena, Lucia; Guarracino, Mario R. | |
| Epigenetic regulation of HOXA2 expression affects tumor progression and predicts breast cancer patient survival | 1-gen-2025 | De Palma, Fatima Domenica Elisa; Pol, Jonathan G.; Carbonnier, Vincent; Scuderi, Sarah Adriana; Mannino, Deborah; Montégut, Léa; Sauvat, Allan; Perez-Lanzon, Maria; Uribe-Carretero, Elisabet; Guarracino, Mario; Granata, Ilaria; Calogero, Raffaele; Del Monaco, Valentina; Montanaro, Donatella; Stoll, Gautier; Botti, Gerardo; D'Aiuto, Massimiliano; Baldi, Alfonso; D'Argenio, Valeria; Guigó, Roderic; Rezsohazy, René; Kroemer, Guido; Maiuri, Maria Chiara; Salvatore, Francesco | |
| Machine Learning and Artificial Intelligence for Cell Biology Imaging | 1-gen-2025 | Maddalena, L.; Antonelli, L.; Polverino, F.; Asteriti, I. A.; Degrassi, F.; Guarguaglini, G.; Albu, A.; Hada, A.; Guarracino, M. R. | |
| On Risk Assessment Models for Tobacco Products | 1-gen-2025 | Maddalena, L.; Del Vecchio Blanco, F.; Yildiz, B.; Guarracino, M. R. | |
| Understanding ESG Scores Through Network Analysis: A Study Using Graph Neural Networks | 1-gen-2025 | Bernhardt, Brian Daniel; Marciano, Chiara; Gigli, Sara; Maddalena, Lucia; Guarracino, Mario Rosario | |
| Context-specific essential genes identification and prediction by learning multi-omics and network data | 1-gen-2024 | Giordano, Maurizio; Maddalena, Lucia; Manzo, Mario; Guarracino, MARIO ROSARIO; Granata, Ilaria | |
| HELP: A computational framework for labelling and predicting human common and context-specific essential genes | 1-gen-2024 | Granata, I.; Maddalena, L.; Manzo, M.; Guarracino, M. R.; Giordano, M. | |
| Machine Learning and Artificial Intelligence for Cell Biology Imaging | 1-gen-2024 | Maddalena, L.; Antonelli, L.; Polverino, F.; Asteriti, I. A.; Degrassi, F.; Guarguaglini, G.; Albu, A.; Hada, A.; Guarracino, M. R. | |
| ALFI: Cell cycle phenotype annotations of label-free time-lapse imaging data from cultured human cells | 1-gen-2023 | Antonelli, L.; Polverino, F.; Albu, A.; Hada, A.; Asteriti, I. A.; Degrassi, F.; Guarguaglini, G.; Maddalena, L.; Guarracino, M. R. | |
| Bifidobacterium affects antitumor efficacy of oncolytic adenovirus in a mouse model of melanoma | 1-gen-2023 | Tripodi, L.; Feola, S.; Granata, I.; Whalley, T.; Passariello, M.; Capasso, C.; Coluccino, L.; Vitale, M.; Scalia, G.; Gentile, L.; De Lorenzo, C.; Guarracino, MARIO ROSARIO; Castaldo, G.; D'Argenio, V.; Szomolay, B.; Cerullo, V.; Pastore, L. | |
| Dataset ALFI: Cell cycle phenotype annotations of label-free time-lapse imaging data from cultured human cells | 1-gen-2023 | Antonelli, L.; Polverino, Federica; Albu, A.; Hada, A.; Asteriti, Italia; Degrassi, Francesca; Guarguaglini, G.; Maddalena, L.; Guarracino, M. R. | |
| Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages | 1-gen-2023 | Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R. | |
| Network-based computational modeling to unravel gene essentiality | 1-gen-2023 | Granata, I.; Giordano, M.; Maddalena, L.; Manzo, M.; Guarracino, M. R. | |
| Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis | 1-gen-2023 | Manzo, M; Giordano, M; Maddalena, L; Guarracino, M. R.; Granata, I | |
| OI_AD | 1-gen-2023 | Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R. | |
| Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge | 1-gen-2023 | Khachatryan, L.; Xiang, Y.; Ivanov, A.; Glaab, E.; Graham, G.; Granata, I.; Giordano, M.; Maddalena, L; Piccirillo, M; Manipur, I; Baruzzo, G.; Cappellato, M; Avot, B; Stan, A; Battey, J; Lo Sasso, G; Boue, S; Ivanov, N. V.; Peitsch, M. C.; Hoeng, J; Falquet, L; Di Camillo, B; Guarracino, M. R.; Ulyantsev, V; Sierro, N; Poussin, C | |
| Artificial Intelligence for Cell Segmentation, Event Detection, and Tracking for Label-free Microscopy Imaging | 1-gen-2022 | Maddalena, L.; Antonelli, L.; Albu, A.; Hada, A.; Guarracino, M. R. | |
| Classifying Alzheimer's Disease using MRIs and Transcriptomic Data | 1-gen-2022 | Maddalena, Lucia; Granata, Ilaria; Giordano, Maurizio; Manzo, Mario; Guarracino, Mario R.; Alzheimer's Disease Neuroimaging Initiative, (ADNI) | |
| Early anteroposterior regionalisation of human neural crest is shaped by a pro-mesodermal factor | 1-gen-2022 | Gogolou, Antigoni; Souilho, Celine; Granata, Ilaria; J Wymeersch, Filip; Manipur, Ichcha; Wind, Matthew; JR Frith, Thomas; Guarini, Maria; Bertero, Alessandro; Bock, Christoph; Halbritter, Florian; Takasato, Minoru; Guarracino, MARIO ROSARIO; Tsakiridis, Anestis | |
| Netpro2vec: a Graph Embedding Framework for Biomedical Applications | 1-gen-2022 | Manipur, I; Manzo, M; Granata, I; Giordano, M; Maddalena, L; Guarracino, Mr |