| A survey on data integration for multi-omics sample clustering M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione Neurocomputing 488, 494-508, 2022 | 27 | 2022 |
| Transformer-based approach to melanoma detection G Cirrincione, S Cannata, G Cicceri, F Prinzi, T Currieri, M Lovino, ... Sensors 23 (12), 5677, 2023 | 26 | 2023 |
| DEEPrior: a deep learning tool for the prioritization of gene fusions M Lovino, MS Ciaburri, G Urgese, S Di Cataldo, E Ficarra Bioinformatics 36 (10), 3248-3250, 2020 | 20 | 2020 |
| A deep learning approach to the screening of oncogenic gene fusions in humans M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra International journal of molecular sciences 20 (7), 1645, 2019 | 20 | 2019 |
| Predicting gene expression levels from dna sequences and post-transcriptional information with transformers V Pipoli, M Cappelli, A Palladini, C Peluso, M Lovino, E Ficarra Computer Methods and Programs in Biomedicine 225, 107035, 2022 | 15 | 2022 |
| Circular RNA profiling distinguishes medulloblastoma groups and shows aberrant RMST overexpression in WNT medulloblastoma D Rickert, J Bartl, D Picard, F Bernardi, N Qin, M Lovino, S Puget, ... Acta neuropathologica 141, 975-978, 2021 | 15 | 2021 |
| Predicting gene and protein expression levels from DNA and protein sequences with Perceiver M Stefanini, M Lovino, R Cucchiara, E Ficarra Computer Methods and Programs in Biomedicine 234, 107504, 2023 | 14 | 2023 |
| Exploiting gene expression profiles for the automated prediction of connectivity between brain regions I Roberti, M Lovino, S Di Cataldo, E Ficarra, G Urgese International journal of molecular sciences 20 (8), 2035, 2019 | 14 | 2019 |
| Identifying the oncogenic potential of gene fusions exploiting miRNAs M Lovino, M Montemurro, VS Barrese, E Ficarra Journal of Biomedical Informatics 129, 104057, 2022 | 12 | 2022 |
| Multi-omics classification on kidney samples exploiting uncertainty-aware models M Lovino, G Bontempo, G Cirrincione, E Ficarra International Conference on Intelligent Computing, 32-42, 2020 | 8 | 2020 |
| Unsupervised multi-omic data fusion: The neural graph learning network P Barbiero, M Lovino, M Siviero, G Ciravegna, V Randazzo, E Ficarra, ... International Conference on Intelligent Computing, 172-182, 2020 | 7 | 2020 |
| MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge E Pianfetti, M Lovino, E Ficarra, L Martignetti Bmc Bioinformatics 24 (1), 443, 2023 | 3 | 2023 |
| Predicting the oncogenic potential of gene fusions using convolutional neural networks M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra International Meeting on Computational Intelligence Methods for …, 2018 | 3 | 2018 |
| PIK3R1 fusion drives chemoresistance in ovarian cancer by activating ERK1/2 and inducing rod and ring-like structures H Rausio, A Cervera, VD Heuser, G West, J Oikkonen, E Pianfetti, ... Neoplasia 51, 100987, 2024 | 2 | 2024 |
| Enhancing PFI prediction with GDS-MIL: A graph-based dual stream MIL approach G Bontempo, N Bartolini, M Lovino, F Bolelli, A Virtanen, E Ficarra International Conference on Image Analysis and Processing, 550-562, 2023 | 2 | 2023 |
| Squeeze and Learn: Compressing Long Sequences with Fourier Transformers for Gene Expression Prediction V Pipoli, G Attanasio, M Lovino, E Ficarra | 2 | 2023 |
| FusionFlow: an integrated system workflow for gene fusion detection in genomic samples F Citarrella, G Bontempo, M Lovino, E Ficarra European Conference on Advances in Databases and Information Systems, 79-88, 2022 | 1 | 2022 |
| Integrated microRNA and proteome analysis of cancer datasets with MoPC M Lovino, E Ficarra, L Martignetti Plos one 19 (3), e0289699, 2024 | | 2024 |
| BERT Classifies SARS-CoV-2 Variants G Ghione, M Lovino, E Ficarra, G Cirrincione Applications of Artificial Intelligence and Neural Systems to Data Science …, 2023 | | 2023 |
| EPiC Series in Computing S Borgato, M Bottino, M Lovino, E Ficarra Proceedings of 14th International Conference 83, 66-75, 2022 | | 2022 |
