DI FILIPPO MARZIA

Ruolo: 
Assegnista di ricerca
Settore scientifico disciplinare: 
INFORMATICA (INF/01)

Pubblicazioni

  • (2019). NEW CONSTRAINT-BASED APPROACHES TO TACKLE THE MULTIPLE SIDES OF CELL METABOLIC PLASTICITY AND HETEROGENEITY. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2019). Dettaglio
  • 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
  • Graudenzi, A., Maspero, D., Isella, C., Di Filippo, M., Mauri, G., Medico, E., et al. (2018). MaREA: Metabolic feature extraction, enrichment and visualization of RNAseq data [Altro]. Dettaglio
  • Graudenzi, A., Maspero, D., Di Filippo, M., Gnugnoli, M., Isella, C., Mauri, G., et al. (2018). Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. JOURNAL OF BIOMEDICAL INFORMATICS, 87, 37-49. 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