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popFBA: tackling intratumour heterogeneity with Flux Balance Analysis.

C. Damiani, M. Filippo, D. Pescini, D. Maspero, R. Colombo, и G. Mauri. Bioinform., 33 (14): i311-i318 (2017)

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Cesare Filippo

Marzia Bonsignore

Marzia Sidri

Filippo Coletti

Filippo Pellacani

Другие публикации лиц с тем же именем

Linking Alterations in Metabolic Fluxes with Shifts in Metabolite Levels by Means of Kinetic Modeling.C. Damiani, R. Colombo, M. Filippo, D. Pescini, и G. Mauri. WIVACE, том 708 из Communications in Computer and Information Science, стр. 138-148. (2016)Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models.M. Di Filippo, R. Colombo, C. Damiani, D. Pescini, D. Gaglio, M. Vanoni, L. Alberghina, и G. Mauri. Computational biology and chemistry, (июня 2016)Integration of single-cell RNA-seq data into population models to characterize cancer metabolism.C. Damiani, D. Maspero, M. Filippo, R. Colombo, D. Pescini, A. Graudenzi, H. Westerhoff, L. Alberghina, M. Vanoni, и G. Mauri. PLoS Comput. Biol., (2019)GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction.M. Filippo, C. Damiani, и D. Pescini. PLoS Comput. Biol., (2021)Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata.D. Maspero, M. Filippo, F. Angaroni, D. Pescini, G. Mauri, M. Vanoni, A. Graudenzi, и C. Damiani. CIBB, том 12313 из Lecture Notes in Computer Science, стр. 207-215. Springer, (2019)popFBA: tackling intratumour heterogeneity with Flux Balance Analysis.C. Damiani, M. Filippo, D. Pescini, D. Maspero, R. Colombo, и G. Mauri. Bioinform., 33 (14): i311-i318 (2017)New constraint-based approaches to tackle the multiple sides of cell metabolic plasticity and heterogeneity.M. Filippo. University of Milan, Italy, (2019)Constraint-Based Modeling and Simulation of Cell Populations.M. Filippo, C. Damiani, R. Colombo, D. Pescini, и G. Mauri. WIVACE, том 708 из Communications in Computer and Information Science, стр. 126-137. (2016)

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