Maspero Davide

Research Topic:
Methods for data integration in computational biology

Publications
Journal papers

  • 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

Conference proceedings

  • 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

Teaching
Invited lectures

  • 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

Tutoring

  • 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

Lab

http://bimib.disco.unimib.it

http://www.istitutotumori.mi.it/

Projects and collaborations

Sysbio

ITFoC

PRiMaTE

Contacts

d.maspero@campus.unimib.it
+39 02 6448 7918

Room 1002 – Bimib
Edificio U14
Viale Sarca 336
Milano

 

Research Gate
BOA
DBLP