PESCINI DARIO

Ruolo: 
professore associato
Settore scientifico disciplinare: 
INFORMATICA (INF/01)
Telefono: 
0264485835
Stanza: 
U07, Piano: P02, Stanza: 2057
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO
Orario di ricevimento: 

Il giovedì alle 13:00

Pubblicazioni

  • Damiani, C., Maspero, D., Di Filippo, M., Colombo, R., Pescini, D., Graudenzi, A., et al. (2019). Integration of single-cell RNA-seq data into population models to characterize cancer metabolism. PLOS COMPUTATIONAL BIOLOGY, 15(2). Dettaglio
  • Maspero, D., Graudenzi, A., Singh, S., Pescini, D., Mauri, G., Antoniotti, M., et al. (2018). Synchronization effects in a metabolism-driven model of multi-cellular system. Intervento presentato a: XIII Workshop on Artificial Life and Evolutionary Computation, WIVACE 2018, Parma, Italy. Dettaglio
  • Colombo, R., Damiani, C., Gilbert, D., Heiner, M., Mauri, G., & Pescini, D. (2018). Emerging ensembles of kinetic parameters to characterize observed metabolic phenotypes. BMC BIOINFORMATICS, 19(Suppl 7), 45-59. Dettaglio
  • Di Filippo, M., Damiani, C., Colombo, R., Pescini, D., & Mauri, G. (2017). Constraint-based modeling and simulation of cell populations. In Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry. 11th Italian Workshop, WIVACE 2016, Fisciano, Italy, October 4-6, 2016, Revised Selected Papers (pp.126-137). Springer Verlag. Dettaglio
  • Colombo, R., Damiani, C., Mauri, G., & Pescini, D. (2017). Constraining mechanism based simulations to identify ensembles of parametrizations to characterize metabolic features. In Computational Intelligence Methods for Bioinformatics and Biostatistics. 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers (pp.107-117). Springer Verlag. Dettaglio