PESCINI DARIO

Rimoldi, S., Zambon, A., Pescini, D., Avellone, A. (2023). iFeel. A tool for studying the effect of the pandemic and the lockdown on socio-economic behaviours. RIVISTA ITALIANA DI ECONOMIA, DEMOGRAFIA E STATISTICA, LXXVI(2), 65-76. Detail

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]. Detail

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]. Detail

Agostinetto, G., Brusati, A., Sandionigi, A., Chahed, A., Parladori, E., Balech, B., et al. (2022). ExTaxsI: An exploration tool of biodiversity molecular data. GIGASCIENCE, 11 [10.1093/gigascience/giab092]. Detail

Agostinetto, G., Sandionigi, A., Bruno, A., Pescini, D., Casiraghi, M. (2022). Extending Association Rule Mining to Microbiome Pattern Analysis: Tools and Guidelines to Support Real Applications. FRONTIERS IN BIOINFORMATICS, 1 [10.3389/fbinf.2021.794547]. Detail