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
A Transformer-Based Model to Predict Micro RNA Interactions
2025 M. Nicolini, F. Stacchietti, C. Cano, 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
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
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
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
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
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning
2024 E. Cavalleri, M. Soto Gomez, A. Pashaeibarough, D. Malchiodi, J.H. Caufield, J.T. Reese, C. Mungall, P.N. Robinson, E. Casiraghi, G. Valentini, M. Mesiti
Fine-tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins
2024 M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, N. Robinson Peter, J. Reese, E. Casiraghi, G. Valentini
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
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
Unbiased clustering and molecular characterisation of novel metabolic phenotypes in a heart failure cohort
2024 E. Esenkova, T. Koeck, G. Valentini, P. Wild, E. Casiraghi, E. Araldi
Initial achievements in relation extraction from RNA-focused scientific papers
2024 E. Cavalleri, M. Soto-Gomez, A. Pashaeibarough, D. Malchiodi, H. Caufield, J. Reese, C.J. Mungall, P.N. Robinson, E. Casiraghi, G. Valentini, M. Mesiti
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
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins
2024 M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, P.N. Robinson, J. Reese, E. Casiraghi, G. Valentini
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
Association of post-COVID phenotypic manifestations with new-onset psychiatric disease
2024 B. Coleman, E. Casiraghi, T.J. Callahan, H. Blau, L.E. Chan, B. Laraway, K.B. Clark, Y. Re’Em, K.R. Gersing, K.J. Wilkins, N.L. Harris, G. Valentini, M.A. Haendel, J.T. Reese, P.N. Robinson