CASIRAGHI, ELENA
CASIRAGHI, ELENA
Dipartimento di Informatica Giovanni Degli Antoni
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
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
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
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
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
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
Patient Similarity Networks Integration for Partial Multimodal Datasets
2023 J. Gliozzo, A. Patak, A. Puertas-Gallardo, E. Casiraghi, G. Valentini
Towards the Construction of an RNA-based Knowledge Graph
2023 E. Cavalleri, S. Bonfitto, A. Cabri, J. Gliozzo, P. Perlasca, M. Soto-Gomez, G. Trucco, E. Casiraghi, G. Valentini, M. Mesiti
A Semi-Automatic Approach for feeding Bio-Medical KGs
2023 S. Bonfitto, M. Dileo, E. Casiraghi, S.T. Gaito, G. Valentini, M. Mesiti
Image-Guided Intraoperative Assessment of Surgical Margins in Oral Cavity Squamous Cell Cancer: A Diagnostic Test Accuracy Review
2023 G. Carnicelli, L. Disconzi, M. Cerasuolo, E. Casiraghi, G. Costa, A. De Virgilio, A.A. Esposito, F. Ferreli, F. Fici, A. Lo Casto, S. Marra, L. Malvezzi, G. Mercante, G. Spriano, G. Torzilli, M. Francone, L. Balzarini, C. Giannitto
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
2023 J.T. Reese, H. Blau, E. Casiraghi, T. Bergquist, J.J. Loomba, T.J. Callahan, B. Laraway, C. Antonescu, B. Coleman, M. Gargano, K.J. Wilkins, L. Cappelletti, T. Fontana, N. Ammar, B. Antony, T.M. Murali, J.H. Caufield, G. Karlebach, J.A. Mcmurry, A. Williams, R. Moffitt, J. Banerjee, A.E. Solomonides, H. Davis, K. Kostka, G. Valentini, D. Sahner, C.G. Chute, C. Madlock-Brown, M.A. Haendel, P.N. Robinson, H. Spratt, S. Visweswaran, J.E. Flack, Y.J. Yoo, D. Gabriel, G.C. Alexander, H.B. Mehta, F. Liu, R.T. Miller, R. Wong, E.L. Hill, L.E. Thorpe, J. Divers
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
An expectation-maximization framework for comprehensive prediction of isoform-specific functions
2023 G. Karlebach, L. Carmody, J.C. Sundaramurthi, E. Casiraghi, P. Hansen, J. Reese, C.J. Mungall, G. Valentini, P.N. Robinson
Clinical Impact of a Protocol Involving Cone-Beam CT (CBCT), Fusion Imaging and Ablation Volume Prediction in Percutaneous Image-Guided Microwave Ablation in Patients with Hepatocellular Carcinoma Unsuitable for Standard Ultrasound (US) Guidance
2023 P. Biondetti, A.M. Ierardi, E. Casiraghi, A. Caruso, P. Grillo, S. Carriero, C. Lanza, S.A. Angileri, A. Sangiovanni, M. Iavarone, G. Guzzardi, G. Carrafiello
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
A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph
2023 E. Cavalleri, S. Bonfitto, A. Cabri, J. Gliozzo, P. Perlasca, M. Soto-Gomez, G. Trucco, E. Casiraghi, G. Valentini, M. Mesiti
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
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs
2023 L. Cappelletti, S. Taverni, T. Fontana, M.P. Joachimiak, J. Reese, P. Robinson, E. Casiraghi, G. Valentini
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative
2023 E. Casiraghi, R. Wong, M. Hall, B. Coleman, M. Notaro, M.D. Evans, J.S. Tronieri, H. Blau, B. Laraway, T.J. Callahan, L.E. Chan, C.T. Bramante, J.B. Buse, R.A. Moffitt, T. Stürmer, S.G. Johnson, Y. Raymond Shao, J. Reese, P.N. Robinson, A. Paccanaro, G. Valentini, J.D. Huling, K.J. Wilkins
A software resource for large graph processing and analysis
2023 G. Valentini, E. Casiraghi