VALENTINI, GIORGIO
VALENTINI, GIORGIO
Dipartimento di Informatica Giovanni Degli Antoni
Modular Deep Neural Networks with Residual Connections for Predicting the Pathogenicity of Genetic Variants in Non Coding Genomic Regions
2026 F. Stacchietti, M. Nicolini, L. Chimirri, P.N. Robinson, E. Casiraghi, G. Valentini
Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools
2026 J.T. Reese, L. Chimirri, Y. Bridges, D. Danis, J.H. Caufield, M.A. Gargano, C. Kroll, A. Schmeder, F. Liu, K. Wissink, J.A. Mcmurry, A.S.L. Graefe, E. Niyonkuru, D.R. Korn, E. Casiraghi, G. Valentini, J.O.B. Jacobsen, M. Haendel, D. Smedley, C.J. Mungall, P.N. Robinson
MiRInter-Trans: a Transformer-Based Framework for microRNA Interaction Prediction
2026 M. Nicolini, F. Stacchietti, F.J. Molina, C. Cano, J. Alcala-Fdez, A. Paccanaro, E. Casiraghi, G. Valentini
Computational understanding of non-coding RNA pairwise interactions
2026 M. Nicolini, F. Stacchietti, E. Casiraghi, G. Valentini
miss-SNF: a multimodal patient similarity network integration approach to handle completely missing data sources
2025 J. Gliozzo, M.A. Soto Gomez, A. Bonometti, A. Patak, E. Casiraghi, G. Valentini
Replacing non-biomedical concepts improves embedding of biomedical concepts
2025 E. Niyonkuru, M.S. Gomez, E. Casarighi, S. Antogiovanni, H. Blau, J.T. Reese, G. Valentini, P.N. Robinson
A Transformer-Based Model to Predict Micro RNA Interactions
2025 M. Nicolini, F. Stacchietti, C. Cano, E. Casiraghi, G. Valentini
RNA knowledge-graph analysis through homogeneous embedding methods
2025 F. Torgano, M. Soto Gomez, M. Zignani, J. Gliozzo, E. Cavalleri, M. Mesiti, E. Casiraghi, G. Valentini
Fine-tuning of conditional Transformers improves in silico enzyme prediction and generation
2025 M. Nicolini, E. Saitto, R.E. Jimenez Franco, E. Cavalleri, A.J. Galeano Alfonso, D. Malchiodi, A. Paccanaro, P.N. Robinson, E. Casiraghi, G. Valentini
Biasing second-order random walk sampling for heterogeneous graph embedding
2025 M. Soto-Gomez, C. Cano, J. Reese, P.N. Robinson, G. Valentini, E. Casiraghi
Hybrid Quantum-Classical Walks for Graph Representation Learning in Community Detection
2025 A. Marín, M. Soto-Gomez, G. Valentini, E. Casiraghi, C. Cano, D. Manzano
Software and Data for: Curated data empower deep learning for RNA epitranscriptome discovery
2025 E. Saitto, E. Casiraghi, A. Paccanaro, G. Valentini
Predicted RNA m⁵C sites across the human transcriptome (GRCh38 GENCODE v45)
2025 E. Saitto, E. Casiraghi, P. Alberto, G. Valentini
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
Leveraging generative AI to assist biocuration of medical actions for rare disease
2025 E. Niyonkuru, J.H. Caufield, L.C. Carmody, M.A. Gargano, S. Toro, P.L. Whetzel, H. Blau, M. Soto Gomez, E. Casiraghi, L. Chimirri, J.T. Reese, G. Valentini, M.A. Haendel, C.J. Mungall, P.N. Robinson
RNA Knowledge Graph Analysis via Embedding Methods
2024 F. Torgano, E. Cavalleri, J. Gliozzo, F. Stacchietti, E. Saitto, M. Mesiti, E. Casiraghi, G. Valentini
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests
2024 L.E. Chan, E. Casiraghi, J. Reese, Q.E. Harmon, K. Schaper, H. Hegde, G. Valentini, C. Schmitt, A. Motsinger-Reif, J.E. Hall, C.J. Mungall, P.N. Robinson, M.A. Haendel
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
An open source knowledge graph ecosystem for the life sciences
2024 T.J. Callahan, I.J. Tripodi, A.L. Stefanski, L. Cappelletti, S.B. Taneja, J.M. Wyrwa, E. Casiraghi, N.A. Matentzoglu, J. Reese, J.C. Silverstein, C.T. Hoyt, R.D. Boyce, S.A. Malec, D.R. Unni, M.P. Joachimiak, P.N. Robinson, C.J. Mungall, E. Cavalleri, T. Fontana, G. Valentini, M. Mesiti, L.A. Gillenwater, B. Santangelo, N.A. Vasilevsky, R. Hoehndorf, T.D. Bennett, P.B. Ryan, G. Hripcsak, M.G. Kahn, M. Bada, W.A. Baumgartner, L.E. Hunter
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning
2024 L. Cappelletti, L. Rekerle, T. Fontana, P. Hansen, E. Casiraghi, V. Ravanmehr, C.J. Mungall, J. Yang, L. Spranger, G. Karlebach, J.H. Caufield, L. Carmody, B. Coleman, T. Oprea, J. Reese, G. Valentini, P.N. Robinson