| Human digital twin for fitness management BR Barricelli, E Casiraghi, J Gliozzo, A Petrini, S Valtolina Ieee Access 8, 26637-26664, 2020 | 212 | 2020 |
| Heterogeneous data integration methods for patient similarity networks J Gliozzo, M Mesiti, M Notaro, A Petrini, A Patak, A Puertas-Gallardo, ... Briefings in Bioinformatics 23 (4), bbac207, 2022 | 28 | 2022 |
| Whole‐genome analysis uncovers recurrent IKZF1 inactivation and aberrant cell adhesion in blastic plasmacytoid dendritic cell neoplasm AN Bastidas Torres, D Cats, H Mei, D Fanoni, J Gliozzo, L Corti, M Paulli, ... Genes, Chromosomes and Cancer 59 (5), 295-308, 2020 | 25 | 2020 |
| ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modeling BR Barricelli, E Casiraghi, J Gliozzo, V Huber, BE Leone, A Rizzi, ... BMC bioinformatics 20, 1-14, 2019 | 20 | 2019 |
| Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction J Gliozzo, P Perlasca, M Mesiti, E Casiraghi, V Vallacchi, E Vergani, ... Scientific reports 10 (1), 3612, 2020 | 13 | 2020 |
| The promises of large language models for protein design and modeling G Valentini, D Malchiodi, J Gliozzo, M Mesiti, M Soto-Gomez, A Cabri, ... Frontiers in Bioinformatics 3, 1304099, 2023 | 10 | 2023 |
| A meta-graph for the construction of an rna-centered knowledge graph E Cavalleri, S Bonfitto, A Cabri, J Gliozzo, P Perlasca, M Soto-Gomez, ... International Work-Conference on Bioinformatics and Biomedical Engineering …, 2023 | 10 | 2023 |
| FZD6 triggers Wnt–signalling driven by WNT10BIVS1 expression and highlights new targets in T‐cell acute lymphoblastic leukemia A Cassaro, G Grillo, M Notaro, J Gliozzo, I Esposito, G Reda, A Trojani, ... Hematological oncology 39 (3), 364-379, 2021 | 9 | 2021 |
| UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction P Perlasca, M Frasca, CT Ba, M Notaro, A Petrini, E Casiraghi, G Grossi, ... Bmc Bioinformatics 20, 1-19, 2019 | 9 | 2019 |
| Cutaneous‐group histiocytoses associated with myeloid malignancies: a systematic review of 102 cases A Bonometti, J Gliozzo, C Moltrasio, F Bagnoli, E Berti Australasian Journal of Dermatology 62 (2), e162-e169, 2021 | 7 | 2021 |
| Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools P Perlasca, M Frasca, CT Ba, J Gliozzo, M Notaro, M Pennacchioni, ... Plos one 15 (12), e0244241, 2020 | 7 | 2020 |
| A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks M Frasca, G Grossi, J Gliozzo, M Mesiti, M Notaro, P Perlasca, A Petrini, ... BMC bioinformatics 19, 63-74, 2018 | 7 | 2018 |
| RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules E Cavalleri, A Cabri, M Soto-Gomez, S Bonfitto, P Perlasca, J Gliozzo, ... | 5 | 2023 |
| Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques L Cappelletti, A Petrini, J Gliozzo, E Casiraghi, M Schubach, M Kircher, ... BMC bioinformatics 23 (Suppl 2), 154, 2022 | 3 | 2022 |
| Network-based methods for outcome prediction in the" sample space" J Gliozzo arXiv preprint arXiv:1702.01268, 2017 | 3 | 2017 |
| HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction M Notaro, M Frasca, A Petrini, J Gliozzo, E Casiraghi, PN Robinson, ... Bioinformatics 37 (23), 4526-4533, 2021 | 2 | 2021 |
| Bayesian optimization improves tissue-specific prediction of active regulatory regions with deep neural networks L Cappelletti, A Petrini, J Gliozzo, E Casiraghi, M Schubach, M Kircher, ... Bioinformatics and Biomedical Engineering: 8th International Work-Conference …, 2020 | 2 | 2020 |
| A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks CT Ba, E Casiraghi, M Frasca, J Gliozzo, G Grossi, M Mesiti, M Notaro, ... International Meeting on Computational Intelligence Methods for …, 2018 | 2 | 2018 |
| Modeling biomolecular profiles in a graph-structured sample space for clinical outcome prediction with melanoma and ovarian cancer patients J Gliozzo, M Notaro, A Petrini, P Perlasca, M Mesiti, E Casiraghi, M Frasca, ... | 2 | 2017 |
| Speeding up node label learning in unbalanced biomolecular networks through a parallel and sparse GPUbased Hopfield model A Petrini, M Notaro, J Gliozzo, G Valentini, G Grossi, M Frasca | 2 | 2017 |
