LOVINO, MARTA
LOVINO, MARTA
Dipartimento di Ingegneria "Enzo Ferrari"
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
2019 Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa
A survey on data integration for multi-omics sample clustering
2022 Lovino, Marta; Randazzo, Vincenzo; Ciravegna, Gabriele; Barbiero, Pietro; Ficarra, Elisa; Cirrincione, Giansalvo
BERT Classifies SARS-CoV-2 Variants
2023 Ghione, G.; Lovino, M.; Ficarra, E.; Cirrincione, G.
Circular RNA profiling distinguishes medulloblastoma groups and shows aberrant RMST overexpression in WNT medulloblastoma
2021 Rickert, Daniel; Bartl, Jasmin; Picard, Daniel; Bernardi, Flavia; Qin, Nan; Lovino, Marta; Puget, Stéphanie; Meyer, Frauke-Dorothee; Mahoungou Koumba, Idriss; Beez, Thomas; Varlet, Pascale; Dufour, Christelle; Fischer, Ute; Borkhardt, Arndt; Reifenberger, Guido; Ayrault, Olivier; Remke, Marc
DEEPrior: a deep learning tool for the prioritization of gene fusions
2020 Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa
Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach
2023 Bontempo, Gianpaolo; Bartolini, Nicola; Lovino, Marta; Bolelli, Federico; Virtanen, Anni; Ficarra, Elisa
Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions
2019 Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito
FusionFlow: an integrated system workflow for gene fusion detection in genomic samples
2022 Citarrella, Francesca; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa
Identifying the oncogenic potential of gene fusions exploiting miRNAs
2022 Lovino, M.; Montemurro, M.; Barrese, V. S.; Ficarra, E.
Integrated microRNA and proteome analysis of cancer datasets with MoPC
2024 Lovino, M.; Ficarra, E.; Martignetti, L.
MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge
2023 Pianfetti, E.; Lovino, M.; Ficarra, E.; Martignetti, L.
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models
2020 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
PIK3R1 fusion drives chemoresistance in ovarian cancer by activating ERK1/2 and inducing rod and ring-like structures
2024 Rausio, H.; Cervera, A.; Heuser, V. D.; West, G.; Oikkonen, J.; Pianfetti, E.; Lovino, M.; Ficarra, E.; Taimen, P.; Hynninen, J.; Lehtonen, R.; Hautaniemi, S.; Carpen, O.; Huhtinen, K.
Predicting gene and protein expression levels from DNA and protein sequences with Perceiver
2023 Stefanini, Matteo; Lovino, Marta; Cucchiara, Rita; Ficarra, Elisa
Predicting gene expression levels from DNA sequences and post-transcriptional information with transformers
2022 Pipoli, Vittorio; Cappelli, Mattia; Palladini, Alessandro; Peluso, Carlo; Lovino, Marta; Ficarra, Elisa
Predicting the oncogenic potential of gene fusions using convolutional neural networks
2020 Lovino, Marta; Gianvito, Urgese; Enrico, Macii; Santa Di Cataldo, ; Ficarra, Elisa
SARS-CoV-2 variants classification and characterization
2022 Borgato, S.; Bottino, M.; Lovino, M.; Ficarra, E.
Transformer-Based Approach to Melanoma Detection
2023 Cirrincione, G.; Cannata, S.; Cicceri, G.; Prinzi, F.; Currieri, T.; Lovino, M.; Militello, C.; Pasero, E.; Vitabile, S.
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network
2020 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo
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 | |
A survey on data integration for multi-omics sample clustering | 1-gen-2022 | Lovino, Marta; Randazzo, Vincenzo; Ciravegna, Gabriele; Barbiero, Pietro; Ficarra, Elisa; Cirrincione, Giansalvo | |
BERT Classifies SARS-CoV-2 Variants | 1-gen-2023 | Ghione, G.; Lovino, M.; Ficarra, E.; Cirrincione, G. | |
Circular RNA profiling distinguishes medulloblastoma groups and shows aberrant RMST overexpression in WNT medulloblastoma | 1-gen-2021 | Rickert, Daniel; Bartl, Jasmin; Picard, Daniel; Bernardi, Flavia; Qin, Nan; Lovino, Marta; Puget, Stéphanie; Meyer, Frauke-Dorothee; Mahoungou Koumba, Idriss; Beez, Thomas; Varlet, Pascale; Dufour, Christelle; Fischer, Ute; Borkhardt, Arndt; Reifenberger, Guido; Ayrault, Olivier; Remke, Marc | |
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 | |
Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach | 1-gen-2023 | Bontempo, Gianpaolo; Bartolini, Nicola; Lovino, Marta; Bolelli, Federico; Virtanen, Anni; 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 | |
FusionFlow: an integrated system workflow for gene fusion detection in genomic samples | 1-gen-2022 | Citarrella, Francesca; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa | |
Identifying the oncogenic potential of gene fusions exploiting miRNAs | 1-gen-2022 | Lovino, M.; Montemurro, M.; Barrese, V. S.; Ficarra, E. | |
Integrated microRNA and proteome analysis of cancer datasets with MoPC | 1-gen-2024 | Lovino, M.; Ficarra, E.; Martignetti, L. | |
MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge | 1-gen-2023 | Pianfetti, E.; Lovino, M.; Ficarra, E.; Martignetti, L. | |
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models | 1-gen-2020 | Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa | |
PIK3R1 fusion drives chemoresistance in ovarian cancer by activating ERK1/2 and inducing rod and ring-like structures | 1-gen-2024 | Rausio, H.; Cervera, A.; Heuser, V. D.; West, G.; Oikkonen, J.; Pianfetti, E.; Lovino, M.; Ficarra, E.; Taimen, P.; Hynninen, J.; Lehtonen, R.; Hautaniemi, S.; Carpen, O.; Huhtinen, K. | |
Predicting gene and protein expression levels from DNA and protein sequences with Perceiver | 1-gen-2023 | Stefanini, Matteo; Lovino, Marta; Cucchiara, Rita; Ficarra, Elisa | |
Predicting gene expression levels from DNA sequences and post-transcriptional information with transformers | 1-gen-2022 | Pipoli, Vittorio; Cappelli, Mattia; Palladini, Alessandro; Peluso, Carlo; Lovino, Marta; Ficarra, Elisa | |
Predicting the oncogenic potential of gene fusions using convolutional neural networks | 1-gen-2020 | Lovino, Marta; Gianvito, Urgese; Enrico, Macii; Santa Di Cataldo, ; Ficarra, Elisa | |
SARS-CoV-2 variants classification and characterization | 1-gen-2022 | Borgato, S.; Bottino, M.; Lovino, M.; Ficarra, E. | |
Transformer-Based Approach to Melanoma Detection | 1-gen-2023 | Cirrincione, G.; Cannata, S.; Cicceri, G.; Prinzi, F.; Currieri, T.; Lovino, M.; Militello, C.; Pasero, E.; Vitabile, S. | |
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 |