VALENTINI, GIORGIO
VALENTINI, GIORGIO
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
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
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
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
Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach
2023 L. Ferrè, F. Clarelli, B. Pignolet, E. Mascia, M. Frasca, S. Santoro, M. Sorosina, F. Bucciarelli, L. Moiola, V. Martinelli, G. Comi, R. Liblau, M. Filippi, G. Valentini, F. Esposito
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
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web
2023 P. Perlasca, M. Frasca, C.T. Ba, J. Gliozzo, M. Notaro, M. Pennacchioni, G. Valentini, M. Mesiti
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
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
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