VALENTINI, GIORGIO
VALENTINI, GIORGIO
Dipartimento di Informatica Giovanni Degli Antoni
Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs
2027 P. Miotto, L. Mellini, T. Marzi, C. Alippi, E. Casiraghi, A. Paccanaro, G. Valentini, M. Soto-Gomez
Protein language model-generated enzyme sequences exhibit high stability in molecular dynamics simulations
2026 E.M.A. Fassi, M. Nicolini, E. Saitto, G. Valentini, E. Casiraghi, G. Grazioso
GRIP-Transformer ncRNA–ncRNA augmented training dataset
2026 M. D'Ovidio, M. Nicolini, E. Casiraghi, G. Valentini
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
Tabular implicit deep neural networks ensembles for the prediction of pathogenic genetic variants in Mendelian diseases
2026 F. Stacchietti, M. Nicolini, L. Chimirri, P.N. Robinson, E. Casiraghi, G. Valentini
Discrete quantum-classical walks for link prediction
2026 A. Marín, M. Soto-Gomez, G. Valentini, E. Casiraghi, C. Cano, D. Manzano
Computational understanding of non-coding RNA pairwise interactions
2026 M. Nicolini, F. Stacchietti, E. Casiraghi, G. Valentini
Finenzyme-generated enzymes with predicted structures (ESMfold)
2026 M. Nicolini, E. Fassi, G. Valentini, E. Casiraghi, G. Grazioso
Het-node2vec: second-order random walk sampling for heterogeneous graph embedding
2026 M. Soto-Gomez, C. Cano, J. Reese, P.N. Robinson, G. Valentini, E. Casiraghi
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
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
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
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
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
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
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