Maspero Davide

Integration of single-cell RNA-seq data into metabolic models to characterize
tumour cell populations. (2019)
Damiani, C., Maspero, D., Di Filippo, M., Colombo, R., Pescini, D., Graudenzi, A.,
Westerhoff, H. V., Alberghina, L., Vanoni, M., & Mauri, G
PLOS computational biology – doi:10.1371/journal.pcbi.1006733
Integration of transcriptomic data and metabolic networks in cancer samples
reveals highly significant prognostic power. (2018)
Graudenzi, A*., Maspero, D*., Di Filippo, M., Gnugnoli, M., Isella, C., Mauri, G.,
Medico, E., Antoniotti, M., & Damiani, C
Journal of biomedical informatics, doi:10.1016/j.jbi.2018.09.010.
popFBA: tackling intratumour heterogeneity with Flux Balance Analysis. (2017)
Damiani, C., Di Filippo, M., Pescini, D., Maspero, D., Colombo, R., & Mauri, G.,
Bioinformatics, doi:10.1093/bioinformatics/btx251

Modeling spatio-temporal dynamics of metabolic networks with cellular automata
and constraint-based methods (2018)
Graudenzi, A., Maspero, D*. & Damiani, C.,
Lecture Notes in Computer Science – Proceedings of ACRI 2018, Accepted.*equal contributor

System Biology – master’s degree in Industrial biotechnology – 1h
a.a. 2017/18
Informatica per le scienze della terra – degree in Earth science – 4h
a.a. 2017/18
Biologia computazionale – master’s degree in Computer science – 2h
a.a. 2017/18

Informatica per la finanza – master’s degree in Economics and finance – 30h
a.a. 2018/19
Informatica generale – degree in Economics and business administration – 30h
a.a. 2017/18