CASIRAGHI, ELENA
CASIRAGHI, ELENA
Dipartimento di Informatica Giovanni Degli Antoni
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
Quantum-enhanced Representation Learning and Matching Learning for Recommendation
2026 A. Li, 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
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
Computational understanding of non-coding RNA pairwise interactions
2026 M. Nicolini, F. Stacchietti, E. Casiraghi, G. Valentini
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
Splenic FDG PET uptake and CT volume as prognostic biomarkers in diffuse large B cell lymphoma
2026 J. D'Argenzio, N. Rampi, J. Pozzi, V. Vespro, M. Pavan, E. Casiraghi, F.G. Rossi, A. Castello, L.V. Forzenigo, M. Castellani, M. Zilocchi, F. Passamonti, G. Carrafiello
Revisiting Minamata disease through computational phenotypic similarity analysis
2026 E. Marchi, P. Boldi, E. Casiraghi, S. Zapperi, C.A.M. La Porta
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
Structured Chemical Reaction Modeling with Multitask Graph Neural Networks
2025 M. Astero, A. Li, E. Casiraghi, J. Rousu
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
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
A cross-attentive multi-task graph learning framework for chemical reaction modeling
2025 M. Astero, A. Li, E. Casiraghi, J. Rousu
CSGL: Chemical Synthesis Graph Learning for Molecule Representation
2025 A. Li, E. Casiraghi, J. Rousu
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
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
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
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