Sfoglia per Autore
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
2019-01-01 Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa
Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions
2019-01-01 Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito
Multi-omics classification on kidney samples exploiting uncertainty-aware models
2020-01-01 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
Predicting the oncogenic potential of gene fusions using convolutional neural networks
2020-01-01 Marta, Lovino; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network
2020-01-01 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo
DEEPrior: a deep learning tool for the prioritization of gene fusions
2020-01-01 Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa
A survey on data integration for multi-omics sample clustering
2021-01-01 Lovino, Marta; Randazzo, Vincenzo; Ciravegna, Gabriele; Barbiero, Pietro; Ficarra, Elisa; Cirrincione, Giansalvo
SARS-CoV-2 variants classification and characterization
2022-01-01 Borgato, S.; Bottino, M.; Lovino, M.; Ficarra, E.
Identifying the oncogenic potential of gene fusions exploiting miRNAs
2022-01-01 Lovino, M.; Montemurro, M.; Barrese, V. S.; Ficarra, E.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans | 1-gen-2019 | Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa | |
Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions | 1-gen-2019 | Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito | |
Multi-omics classification on kidney samples exploiting uncertainty-aware models | 1-gen-2020 | Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa | |
Predicting the oncogenic potential of gene fusions using convolutional neural networks | 1-gen-2020 | Marta, Lovino; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa | |
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network | 1-gen-2020 | Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo | |
DEEPrior: a deep learning tool for the prioritization of gene fusions | 1-gen-2020 | Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa | |
A survey on data integration for multi-omics sample clustering | 1-gen-2021 | Lovino, Marta; Randazzo, Vincenzo; Ciravegna, Gabriele; Barbiero, Pietro; Ficarra, Elisa; Cirrincione, Giansalvo | |
SARS-CoV-2 variants classification and characterization | 1-gen-2022 | Borgato, S.; Bottino, M.; Lovino, M.; Ficarra, E. | |
Identifying the oncogenic potential of gene fusions exploiting miRNAs | 1-gen-2022 | Lovino, M.; Montemurro, M.; Barrese, V. S.; Ficarra, E. |
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