VANONI MARCO ERCOLE

Ruolo:

Professore ordinario

Settore scientifico disciplinare:

BIOCHIMICA (BIO/10)

Afferenza:

E-mail:

Telefono:

0264483525
0264483384
0264483534

Stanza:

U04, Piano: P04, Stanza: 4067
Piazza della Scienza, 4 - 20126 MILANO

U04, Piano: P05, Stanza: 5044
Piazza della Scienza, 4 - 20126 MILANO

U03, Piano: P05, Stanza: 5015
Piazza della Scienza, 2 - 20126 MILANO

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
Manes, C., Palumbo, P., Cusimano, V., Vanoni, M., & Alberghina, L. (2018). Modeling Biological Timing and Synchronization Mechanisms by Means of Interconnections of Stochastic Switches. IEEE CONTROL SYSTEMS LETTERS, 2(1), 19-24. Dettaglio
De Sanctis, G., Colombo, R., Damiani, C., Sacco, E., & Vanoni, M. (2018). Omics and Clinical Data Integration. In A. Vlahou, H. Mischak, J. Zoidakis, & F. Magni (a cura di), Integration of Omics Approaches and Systems Biology for Clinical Applications (pp. 248-273). Hoboken : John Wiley & Sons. Dettaglio
Bersini, S., Gilardi, M., Ugolini, G., Sansoni, V., Talò, G., Perego, S., et al. (2018). Engineering an Environment for the Study of Fibrosis: A 3D Human Muscle Model with Endothelium Specificity and Endomysium. CELL REPORTS, 25(13), 3858-3868.e4. Dettaglio
Palumbo, P., Vanoni, M., Papa, F., Busti, S., Wortel, M., Teusink, B., et al. (2018). An integrated model quantitatively describing metabolism, growth and cell cycle in budding yeast. In M. Pelillo, I. Poli, A. Roli, R. Serra, D. Slanzi, & M. Villani (a cura di), Artificial Life and Evolutionary Computation. 12th Italian Workshop, WIVACE 2017, Venice, Italy, September 19-21, 2017, Revised Selected Papers (pp. 165-180). Springer. Dettaglio

Futuri studenti