CASIRAGHI, ELENA
CASIRAGHI, ELENA
Dipartimento di Informatica Giovanni Degli Antoni
Revisiting Minamata disease through computational phenotypic similarity analysis
2026 E. Marchi, P. Boldi, E. Casiraghi, S. Zapperi, C.A.M. La Porta
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
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
A cross-attentive multi-task graph learning framework for chemical reaction modeling
2025 M. Astero, A. Li, E. Casiraghi, J. Rousu
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
CSGL: Chemical Synthesis Graph Learning for Molecule Representation
2025 A. Li, E. Casiraghi, J. Rousu
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
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
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
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
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
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
A Transformer-Based Model to Predict Micro RNA Interactions
2025 M. Nicolini, F. Stacchietti, C. Cano, E. Casiraghi, G. Valentini
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks
2024 S. Maghool, E. Casiraghi, P. Ceravolo