NAPOLITANO, Francesco
NAPOLITANO, Francesco
DIPARTIMENTO DI SCIENZE E TECNOLOGIE
A scalable reference-point based algorithm to efficiently search large chemical databases
2010-01-01 Napolitano, F.; Tagliaferri, R.; Baldi, P.
A siamese neural network model for the prioritization of metabolic disorders by integrating real and simulated data
2020-01-01 Messa, G. M.; Napolitano, F.; Elsea, S. H.; di Bernardo, D.; Gao, X.
AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data
2024-01-01 Li, Zhongxiao; Napolitano, Antonella; Fedele, Monica; Gao, Xin; Napolitano, Francesco
Altered centriolar cohesion by CEP250 and appendages impact outcome of patients with pancreatic cancer
2024-01-01 Giordano, Guido; Cipolletta, Giampiero; Mellone, Agostino; Puopolo, Giovanni; Coppola, Luigi; De Santis, Elena; Forte, Nicola; Napolitano, Francesco; Caruso, Francesca P; Parente, Paola; Landriscina, Matteo; Cerulo, Luigi; Costa, Maria Claudia; Pancione, Massimo
An adaptive reference point approach to efficiently search large chemical databases
2014-01-01 Napolitano, F.; Tagliaferri, R.; Baldi, P.
An improved combinatorial biclustering algorithm
2013-01-01 Nosova, E.; Napolitano, F.; Amato, R.; Cocozza, S.; Miele, G.; Raiconi, G.; Tagliaferri, R.
An interactive tool for data visualization and clustering
2007-01-01 Iorio, F.; Miele, G.; Napolitano, F.; Raiconi, G.; Tagliaferri, R.
Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis
2020-01-01 Albaradei, S. A.; Napolitano, F.; Uludag, M.; Thafar, M.; Napolitano, S.; Essack, M.; Bajic, V. B.; Gao, X.
Automatic identification of small molecules that promote cell conversion and reprogramming
2021-01-01 Napolitano, F.; Rapakoulia, T.; Annunziata, P.; Hasegawa, A.; Cardon, M.; Napolitano, S.; Vaccaro, L.; Iuliano, A.; Wanderlingh, L. G.; Kasukawa, T.; Medina, D. L.; Cacchiarelli, D.; Gao, X.; di Bernardo, D.; Arner, E.
Bioinformatic pipelines in Python with Leaf
2013-01-01 Napolitano, F.; Mariani-Costantini, R.; Tagliaferri, R.
Clustering and visualization approaches for human cell cycle gene expression data analysis
2008-01-01 Napolitano, F.; Raiconi, G.; Tagliaferri, R.; Ciaramella, A; Staiano, A.; Miele, G.
Clustering, assessment and validation: An application to gene expression data
2007-01-01 Ciaramella, A.; Cocozza, S.; Iorio, F.; Miele, G.; Napolitano, F.; Pinelli, M.; Raiconi, G.; Tagliaferri, R.
Comparing structural and transcriptional drug networks reveals signatures of drug activity and toxicity in transcriptional responses
2017-01-01 Sirci, F.; Napolitano, F.; Pisonero-Vaquero, S.; Carrella, D.; Medina, D. L.; di Bernardo, D.
Computational Drug Networks: a computational approach to elucidate drug mode of action and to facilitate drug repositioning for neurodegenerative diseases
2016-01-01 Sirci, F.; Napolitano, F.; di Bernardo, D.
Computer-aided drug repurposing for cancer therapy: Approaches and opportunities to challenge anticancer targets
2019-01-01 Mottini, C.; Napolitano, F.; Li, Z.; Gao, X.; Cardone, L.
Consensus clustering in gene expression
2015-01-01 Galdi, P.; Napolitano, F.; Tagliaferri, R.
Data Mining in Cancer Research
2010-01-01 Lisboa Paulo, J. G.; Vellido, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, M; Martin Guerrero Jose, D.; Biganzoli, Elia
DATA VISUALIZATION AND CLUSTERING: AN APPLICATION TO GENE EXPRESSION DATA
2007-01-01 Ciaramella, Angelo; Iorio, Francesco; Napolitano, Francesco; Raiconi, Giancarlo; Tagliaferri, Roberto; Miele, Gennaro; Staiano, Antonino
Distinctive gene expression profiles in Balb/3T3 cells exposed to low dose cobalt nanoparticles, microparticles and ions: potential nanotoxicological relevance
2013-01-01 Perconti, S; Aceto, G M; Verginelli, F; Napolitano, F; Petrarca, C; Bernardini, G; Raiconi, G; Tagliaferri, R; Sabbioni, E; Di Gioacchino, M; Mariani-Costantini, R
Drug repositioning: A machine-learning approach through data integration
2013-01-01 Napolitano, F.; Zhao, Y.; Moreira, V. M.; Tagliaferri, R.; Kere, J.; D'Amato, M.; Greco, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A scalable reference-point based algorithm to efficiently search large chemical databases | 1-gen-2010 | Napolitano, F.; Tagliaferri, R.; Baldi, P. | |
| A siamese neural network model for the prioritization of metabolic disorders by integrating real and simulated data | 1-gen-2020 | Messa, G. M.; Napolitano, F.; Elsea, S. H.; di Bernardo, D.; Gao, X. | |
| AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data | 1-gen-2024 | Li, Zhongxiao; Napolitano, Antonella; Fedele, Monica; Gao, Xin; Napolitano, Francesco | |
| Altered centriolar cohesion by CEP250 and appendages impact outcome of patients with pancreatic cancer | 1-gen-2024 | Giordano, Guido; Cipolletta, Giampiero; Mellone, Agostino; Puopolo, Giovanni; Coppola, Luigi; De Santis, Elena; Forte, Nicola; Napolitano, Francesco; Caruso, Francesca P; Parente, Paola; Landriscina, Matteo; Cerulo, Luigi; Costa, Maria Claudia; Pancione, Massimo | |
| An adaptive reference point approach to efficiently search large chemical databases | 1-gen-2014 | Napolitano, F.; Tagliaferri, R.; Baldi, P. | |
| An improved combinatorial biclustering algorithm | 1-gen-2013 | Nosova, E.; Napolitano, F.; Amato, R.; Cocozza, S.; Miele, G.; Raiconi, G.; Tagliaferri, R. | |
| An interactive tool for data visualization and clustering | 1-gen-2007 | Iorio, F.; Miele, G.; Napolitano, F.; Raiconi, G.; Tagliaferri, R. | |
| Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis | 1-gen-2020 | Albaradei, S. A.; Napolitano, F.; Uludag, M.; Thafar, M.; Napolitano, S.; Essack, M.; Bajic, V. B.; Gao, X. | |
| Automatic identification of small molecules that promote cell conversion and reprogramming | 1-gen-2021 | Napolitano, F.; Rapakoulia, T.; Annunziata, P.; Hasegawa, A.; Cardon, M.; Napolitano, S.; Vaccaro, L.; Iuliano, A.; Wanderlingh, L. G.; Kasukawa, T.; Medina, D. L.; Cacchiarelli, D.; Gao, X.; di Bernardo, D.; Arner, E. | |
| Bioinformatic pipelines in Python with Leaf | 1-gen-2013 | Napolitano, F.; Mariani-Costantini, R.; Tagliaferri, R. | |
| Clustering and visualization approaches for human cell cycle gene expression data analysis | 1-gen-2008 | Napolitano, F.; Raiconi, G.; Tagliaferri, R.; Ciaramella, A; Staiano, A.; Miele, G. | |
| Clustering, assessment and validation: An application to gene expression data | 1-gen-2007 | Ciaramella, A.; Cocozza, S.; Iorio, F.; Miele, G.; Napolitano, F.; Pinelli, M.; Raiconi, G.; Tagliaferri, R. | |
| Comparing structural and transcriptional drug networks reveals signatures of drug activity and toxicity in transcriptional responses | 1-gen-2017 | Sirci, F.; Napolitano, F.; Pisonero-Vaquero, S.; Carrella, D.; Medina, D. L.; di Bernardo, D. | |
| Computational Drug Networks: a computational approach to elucidate drug mode of action and to facilitate drug repositioning for neurodegenerative diseases | 1-gen-2016 | Sirci, F.; Napolitano, F.; di Bernardo, D. | |
| Computer-aided drug repurposing for cancer therapy: Approaches and opportunities to challenge anticancer targets | 1-gen-2019 | Mottini, C.; Napolitano, F.; Li, Z.; Gao, X.; Cardone, L. | |
| Consensus clustering in gene expression | 1-gen-2015 | Galdi, P.; Napolitano, F.; Tagliaferri, R. | |
| Data Mining in Cancer Research | 1-gen-2010 | Lisboa Paulo, J. G.; Vellido, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, M; Martin Guerrero Jose, D.; Biganzoli, Elia | |
| DATA VISUALIZATION AND CLUSTERING: AN APPLICATION TO GENE EXPRESSION DATA | 1-gen-2007 | Ciaramella, Angelo; Iorio, Francesco; Napolitano, Francesco; Raiconi, Giancarlo; Tagliaferri, Roberto; Miele, Gennaro; Staiano, Antonino | |
| Distinctive gene expression profiles in Balb/3T3 cells exposed to low dose cobalt nanoparticles, microparticles and ions: potential nanotoxicological relevance | 1-gen-2013 | Perconti, S; Aceto, G M; Verginelli, F; Napolitano, F; Petrarca, C; Bernardini, G; Raiconi, G; Tagliaferri, R; Sabbioni, E; Di Gioacchino, M; Mariani-Costantini, R | |
| Drug repositioning: A machine-learning approach through data integration | 1-gen-2013 | Napolitano, F.; Zhao, Y.; Moreira, V. M.; Tagliaferri, R.; Kere, J.; D'Amato, M.; Greco, D. |