DI FILIPPO MARZIA

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

Di Filippo, M., Avellone, A., Belingheri, M., Paladino, M., Riva, M., Zambon, A., et al. (2022). A Mobile App Leveraging Citizenship Engagement to Perform Anonymized Longitudinal Studies in the Context of COVID-19 Adverse Drug Reaction Monitoring: Development and Usability Study. JMIR HUMAN FACTORS, 9(4) [10.2196/38701]. Dettaglio

Di Filippo, M., Damiani, C., Pescini, D. (2021). GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction. PLOS COMPUTATIONAL BIOLOGY, 17(11) [10.1371/journal.pcbi.1009550]. Dettaglio

Maspero, D., Di Filippo, M., Angaroni, F., Pescini, D., Mauri, G., Vanoni, M., et al. (2020). Integration of single-cell RNA-sequencing data into flux balance cellular automata. In CIBB 2019 – Computational Intelligence methods for Bioinformatics and Biostatistics, Revised selected papers (pp.207-215). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-63061-4_19]. Dettaglio

Di Filippo, M., Damiani, C., Vanoni, M., Maspero, D., Mauri, G., Alberghina, L., et al. (2020). Single-cell digital twins for cancer preclinical investigation. In Nagrath D. (a cura di), Metabolic Flux Analysis in Eukaryotic Cells (pp. 331-343). New York : Humana Press Inc. [10.1007/978-1-0716-0159-4_15]. Dettaglio