ALBERGHINA LILIA
- U03, Piano: 5, Stanza: 5008
Pubblicazioni
Goglia, I., Węglarz‐tomczak, E., Gioia, C., Liu, Y., Virtuoso, A., Bonanomi, M., et al. (2024). Fusion–fission–mitophagy cycling and metabolic reprogramming coordinate nerve growth factor (NGF)‐dependent neuronal differentiation. THE FEBS JOURNAL [10.1111/febs.17083]. Dettaglio
Galuzzi, B., Izzo, S., Giampaolo, F., Cuomo, S., Vanoni, M., Alberghina, L., et al. (2023). Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. In 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) (pp.185-192). IEEE [10.1109/PDP59025.2023.00037]. Dettaglio
Filippone, M., Gaglio, D., Bonfanti, R., Tucci, F., Ceccacci, E., Pennisi, R., et al. (2022). CDK12 promotes tumorigenesis but induces vulnerability to therapies inhibiting folate one-carbon metabolism in breast cancer. NATURE COMMUNICATIONS, 13(1) [10.1038/s41467-022-30375-8]. Dettaglio
Di Filippo, M., Pescini, D., Galuzzi, B., Bonanomi, M., Gaglio, D., Mangano, E., et al. (2022). INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation. PLOS COMPUTATIONAL BIOLOGY, 18(2) [10.1371/journal.pcbi.1009337]. Dettaglio
Tsopra, R., Fernandez, X., Luchinat, C., Alberghina, L., Lehrach, H., Vanoni, M., et al. (2021). A framework for validating AI in precision medicine: considerations from the European ITFoC consortium. BMC MEDICAL INFORMATICS AND DECISION MAKING, 21(1) [10.1186/s12911-021-01634-3]. Dettaglio