Network-based methods for outcome prediction in the "sample space". - Jessica Gliozzo (CoRR, 2017)

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. - Cheick Tidiane Ba; Elena Casiraghi; Marco Frasca 001; Jessica Gliozzo; Giuliano Grossi; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Matteo Re; Giorgio Valentini (CIBB, 2018)

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. - Marco Frasca 001; Giuliano Grossi; Jessica Gliozzo; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Giorgio Valentini (BMC Bioinform., 2018)

ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modeling. - Barbara Rita Barricelli; Elena Casiraghi; Jessica Gliozzo; Veronica Huber; Biagio Eugenio Leone; Alessandro Rizzi; Barbara Vergani (BMC Bioinform., 2019)

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. - Paolo Perlasca; Marco Frasca 001; Cheick Tidiane Ba; Marco Notaro; Alessandro Petrini; Elena Casiraghi; Giuliano Grossi; Jessica Gliozzo; Giorgio Valentini; Marco Mesiti (BMC Bioinform., 2019)

Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. - Luca Cappelletti; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Max Schubach; Martin Kircher; Giorgio Valentini (IWBBIO, 2020)

Human Digital Twin for Fitness Management. - Barbara Rita Barricelli; Elena Casiraghi; Jessica Gliozzo; Alessandro Petrini; Stefano Valtolina (IEEE Access, 2020)

HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. - Marco Notaro; Marco Frasca 001; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Peter N. Robinson; Giorgio Valentini (Bioinform., 2021)

Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web. - Paolo Perlasca; Marco Frasca 001; Cheick Tidiane Ba; Jessica Gliozzo; Marco Notaro; Mario Pennacchioni; Giorgio Valentini; Marco Mesiti (ICWE Workshops, 2022)

ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. - Alessandro Petrini; Marco Notaro; Jessica Gliozzo; Tiziana Castrignanò; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini (AIAI (Workshops), 2022)

Heterogeneous data integration methods for patient similarity networks. - Jessica Gliozzo; Marco Mesiti; Marco Notaro; Alessandro Petrini; Alex Patak; Antonio Puertas Gallardo; Alberto Paccanaro; Giorgio Valentini; Elena Casiraghi (Briefings Bioinform., 2022)

Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. - Luca Cappelletti; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Max Schubach; Martin Kircher; Giorgio Valentini (BMC Bioinform., 2022)

Patient Similarity Networks Integration for Partial Multimodal Datasets. - Jessica Gliozzo; Alex Patak; Antonio Puertas Gallardo; Elena Casiraghi; Giorgio Valentini (BIOINFORMATICS, 2023)

Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data. - Valentina Guarino; Jessica Gliozzo; Ferdinando Clarelli; Béatrice Pignolet; Kaalindi Misra; Elisabetta Mascia; Giordano Antonino; Silvia Santoro; Laura Ferré; Miryam Cannizzaro; Melissa Sorosina; Roland Liblau; et al. (BIOINFORMATICS, 2023)

Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. - Jessica Gliozzo; Giosuè Cataldo Marinò; Arturo Bonometti; Marco Frasca 001; Dario Malchiodi (ICBRA, 2023)

A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph. - Emanuele Cavalleri; Sara Bonfitto; Alberto Cabri; Jessica Gliozzo; Paolo Perlasca; Mauricio Soto Gomez; Gabriella Trucco; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (IWBBIO (1), 2023)

Towards the Construction of an RNA-centered Knowledge Graph. - Emanuele Cavalleri; Sara Bonfitto; Alberto Cabri; Jessica Gliozzo; Paolo Perlasca; Mauricio Soto Gomez; Gabriella Trucco; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (SEBD, 2023)

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. - Emanuele Cavalleri; Alberto Cabri; Mauricio Soto Gomez; Sara Bonfitto; Paolo Perlasca; Jessica Gliozzo; Tiffany J. Callahan; Justin T. Reese; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (CoRR, 2023)

The promises of large language models for protein design and modeling. - Giorgio Valentini; Dario Malchiodi; Jessica Gliozzo; Marco Mesiti; Mauricio Soto Gomez; Alberto Cabri; Justin T. Reese; Elena Casiraghi; Peter N. Robinson (Frontiers Bioinform., 2023)

Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing. - Jessica Gliozzo; Mauricio Soto Gomez; Valentina Guarino; Arturo Bonometti; Alberto Cabri; Emanuele Cavalleri; Justin T. Reese; Peter N. Robinson; Marco Mesiti; Giorgio Valentini; Elena Casiraghi (Artif. Intell. Medicine, 2025)