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个人简介

Marco was an undergraduate student in biology in Perugia (Italy) and Oxford (UK) and did his PhD in evolutionary genetics in Pavia (Italy) and Fribourg (Switzerland). He was then a Junior Research Fellow at St. John's College, Oxford, and did research in game theory at Harvard (USA) and in biomedicine in Basel (Switzerland).

研究领域

Applied Game Theory Evolutionary Game Theory Game Theory of Cancer Evolutionary Biology

近期论文

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Archetti, M.(2016)Cooperation among cancer cells as public goods games on Voronoi networksin Journal of Theoretical Biology396.pp. 191-203 Full Text UEA Repository(Article) Archetti, M., Scheuring, I.(2016)Evolution of optimal Hill coefficients in nonlinear public goods gamesin Journal of Theoretical Biology406.pp. 73-82 Full Text UEA Repository(Article) Archetti, M., Ferraro, D. A., Christofori, G.(2015)Heterogeneity for IGF-II production maintained by public goods dynamics in neuroendocrine pancreatic cancerin Proceedings of the National Academy of Sciences112.pp. 1833–1838 Full Text UEA Repository(Article) Archetti, M.(2015)Heterogeneity and proliferation of invasive cancer subclones in game theory models of the Warburg effectin Cell Proliferation48.pp. 259–269 Full Text UEA Repository(Article) Archetti, M.(2014)Evolutionary dynamics of the Warburg effect: Glycolysis as a collective action problem among cancer cells.in Journal of Theoretical Biology341.pp. 1-8 Full Text UEA Repository(Article) Archetti, M.(2014)Stable Heterogeneity for the Production of Diffusible Factors in Cell Populationsin PLoS ONE9. Full Text UEA Repository(Article) Archetti, M.(2013)Evolutionary game theory of growth factor production: implications for tumour heterogeneity and resistance to therapiesin British Journal of Cancer109.pp. 1056-1062 Full Text UEA Repository(Article) Archetti, M.(2013)Evolutionarily stable anti-cancer therapies by autologous cell defectionin Evolution, Medicine, and Public Health2013.pp. 161-172 Full Text UEA Repository(Article) Archetti, M.(2013)Dynamics of growth factor production in monolayers of cancer cells and evolution of resistance to anticancer therapiesin Evolutionary Applications6.pp. 1146-1159 Full Text UEA Repository(Article)

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