GLIOZZO, JESSICA
GLIOZZO, JESSICA
Dipartimento di Informatica Giovanni Degli Antoni
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing
2025 J. Gliozzo, M. Soto-Gomez, V. Guarino, A. Bonometti, A. Cabri, E. Cavalleri, J. Reese, P.N. Robinson, M. Mesiti, G. Valentini, E. Casiraghi
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
2024 J. Gliozzo, G. Marinò, A. Bonometti, M. Frasca, D. Malchiodi
RNA Knowledge Graph Analysis via Embedding Methods
2024 F. Torgano, E. Cavalleri, J. Gliozzo, F. Stacchietti, E. Saitto, M. Mesiti, E. Casiraghi, G. Valentini
PATIENT SIMILARITY NETWORKS-BASED METHODS FOR MULTIMODAL DATA INTEGRATION AND CLINICAL OUTCOME PREDICTION
2024 J. Gliozzo
An ontology-based knowledge graph for representing interactions involving RNA molecules
2024 E. Cavalleri, A. Cabri, M. Soto-Gomez, S. Bonfitto, P. Perlasca, J. Gliozzo, T.J. Callahan, J. Reese, P.N. Robinson, E. Casiraghi, G. Valentini, M. Mesiti
Towards the Construction of an RNA-based Knowledge Graph
2023 E. Cavalleri, S. Bonfitto, A. Cabri, J. Gliozzo, P. Perlasca, M. Soto-Gomez, G. Trucco, E. Casiraghi, G. Valentini, M. Mesiti
A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph
2023 E. Cavalleri, S. Bonfitto, A. Cabri, J. Gliozzo, P. Perlasca, M. Soto-Gomez, G. Trucco, E. Casiraghi, G. Valentini, M. Mesiti
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules
2023 E. Cavalleri, A. Cabri, M. Soto-Gomez, S. Bonfitto, P. Perlasca, J. Gliozzo, T.J. Callahan, J. Reese, P. N Robinson, E. Casiraghi, G. Valentini, M. Mesiti
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web
2023 P. Perlasca, M. Frasca, C.T. Ba, J. Gliozzo, M. Notaro, M. Pennacchioni, G. Valentini, M. Mesiti
The promises of large language models for protein design and modeling
2023 G. Valentini, D. Malchiodi, J. Gliozzo, M. Mesiti, M. Soto Gomez, A. Cabri, J. Reese, E. Casiraghi, P.N. Robinson
Patient Similarity Networks Integration for Partial Multimodal Datasets
2023 J. Gliozzo, A. Patak, A. Puertas-Gallardo, E. Casiraghi, G. Valentini
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data
2023 V. Guarino, J. Gliozzo, F. Clarelli, B. Pignolet, K. Misra, E. Mascia, G. Antonino, S. Santoro, L. Ferré, M. Cannizzaro, M. Sorosina, R. Liblau, M. Filippi, E. Mosca, F. Esposito, G. Valentini, E. Casiraghi
Heterogeneous data integration methods for patient similarity networks
2022 J. Gliozzo, M. Mesiti, M. Notaro, A. Petrini, A. Patak, A. Puertas-Gallardo, A. Paccanaro, G. Valentini, E. Casiraghi
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques
2022 L. Cappelletti, A. Petrini, J. Gliozzo, E. Casiraghi, M. Schubach, M. Kircher, G. Valentini
ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data
2022 A. Petrini, M. Notaro, J. Gliozzo, T. Castrignanò, P.N. Robinson, E. Casiraghi, G. Valentini
Comparison of early integration approaches for cancer survival prediction
2022 M. Gnuva, J. Gliozzo, A. Paccanaro, G. Valentini, E. Casiraghi
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction
2021 M. Notaro, M. Frasca, A. Petrini, J. Gliozzo, E. Casiraghi, P.N. Robinson, G. Valentini
FZD6 triggers Wnt-signalling driven by WNT10BIVS1 expression and highlights new targets in T cell acute lymphoblastic leukemia
2021 A. Cassaro, G. Grillo, M. Notaro, J. Gliozzo, I. Esposito, G. Reda, A. Trojani, G. Valentini, B. Di Camillo, R. Cairoli, A. Beghini
Human Digital Twin for Fitness Management
2020 B.R. Barricelli, E. Casiraghi, J. Gliozzo, A. Petrini, S. Valtolina
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks
2020 L. Cappelletti, A. Petrini, J. Gliozzo, E. Casiraghi, M. Schubach, M. Kircher, G. Valentini