CASIRAGHI, ELENA
CASIRAGHI, ELENA
Dipartimento di Informatica Giovanni Degli Antoni
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
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
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
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 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
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
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
Spatial distribution of tumour immune infiltrate predicts outcomes of patients with high-risk soft tissue sarcomas after neoadjuvant chemotherapy
2024 S. Pasquali, V. Vallacchi, L. Lalli, P. Collini, M. Barisella, C. Romagosa, S. Bague, J.M. Coindre, A.P. Dei Tos, E. Palmerini, V. Quagliuolo, J. Martin-Broto, A. Lopez-Pousa, G. Grignani, J.-. Blay, R.D. Beveridge, E. Casiraghi, S. Brich, S.L. Renne, L. Bergamaschi, B. Vergani, M. Sbaraglia, P.G. Casali, L. Rivoltini, S. Stacchiotti, A. Gronchi
RNA Knowledge Graph Analysis via Embedding Methods
2024 F. Torgano, E. Cavalleri, J. Gliozzo, F. Stacchietti, E. Saitto, M. Mesiti, E. Casiraghi, G. Valentini
The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey
2024 C. Giannitto, G. Carnicelli, S. Lusi, A. Ammirabile, E. Casiraghi, A. De Virgilio, A. Esposito, D. Farina, F. Ferreli, C. Franzese, G.M. Frigerio, A. Lo Casto, L. Malvezzi, L. Lorini, A. Othman, L. Preda, M. Scorsetti, P. Bossi, G. Mercante, G. Spriano, L. Balzarini, M. Francone
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
Chemical Reaction Enhanced Graph Learning for Molecule Representation
2024 A. Li, E. Casiraghi, J. Rousu
Patient Similarity Networks Integration for Partial Multimodal Datasets
2023 J. Gliozzo, A. Patak, A. Puertas-Gallardo, E. Casiraghi, G. Valentini
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data
2023 V. Guarino, J. Gliozzo, F. Clarelli, B. Pignolet, K. Misra, E. Mascia, G. Antonino, S. Santoro, L. Ferré, M. Cannizzaro, M. Sorosina, R. Liblau, M. Filippi, E. Mosca, F. Esposito, G. Valentini, E. Casiraghi
Predictive models of long COVID
2023 B. Antony, H. Blau, E. Casiraghi, J.J. Loomba, T.J. Callahan, B.J. Laraway, K.J. Wilkins, C.C. Antonescu, G. Valentini, A.E. Williams, P.N. Robinson, J.T. Reese, T.M. Murali
A Semi-Automatic Approach for feeding Bio-Medical KGs
2023 S. Bonfitto, M. Dileo, E. Casiraghi, S.T. Gaito, G. Valentini, M. Mesiti
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules
2023 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
2023 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. Tapley 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 Jr, L.E. Hunter
GRAPE for fast and scalable graph processing and random-walk-based embedding
2023 L. Cappelletti, T. Fontana, E. Casiraghi, V. Ravanmehr, T.J. Callahan, C. Cano, M.P. Joachimiak, C.J. Mungall, P.N. Robinson, J. Reese, G. Valentini
The promises of large language models for protein design and modeling
2023 G. Valentini, D. Malchiodi, J. Gliozzo, M. Mesiti, M. Soto Gomez, A. Cabri, J. Reese, E. Casiraghi, P.N. Robinson