Chiara Damiani
Chiara Damiani
Department of Biotechnology and Biosciences
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Citata da
Citata da
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
C Damiani, D Maspero, M Di Filippo, R Colombo, D Pescini, A Graudenzi, ...
PLoS computational biology 15 (2), e1006733, 2019
A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: Theá…
C Damiani, R Colombo, D Gaglio, F Mastroianni, D Pescini, ...
PLoS computational biology 13 (9), e1005758, 2017
Dynamical properties of a Boolean model of gene regulatory network with memory
A Graudenzi, R Serra, M Villani, C Damiani, A Colacci, SA Kauffman
Journal of Computational Biology 18 (10), 1291-1303, 2011
Computational strategies for a system-level understanding of metabolism
P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ...
Metabolites 4 (4), 1034-1087, 2014
Cell–cell interaction and diversity of emergent behaviours
C Damiani, R Serra, M Villani, SA Kauffman, A Colacci
IET systems biology 5 (2), 137-144, 2011
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, ...
Computational biology and chemistry 62, 60-69, 2016
Systems metabolomics: From metabolomic snapshots to design principles
C Damiani, D Gaglio, E Sacco, L Alberghina, M Vanoni
Current opinion in biotechnology 63, 190-199, 2020
The diffusion of perturbations in a model of coupled random boolean networks
R Serra, M Villani, C Damiani, A Graudenzi, A Colacci
Lecture Notes in Computer Science, 315-322, 2008
Dynamical criticality in gene regulatory networks
M Villani, L La Rocca, SA Kauffman, R Serra
Complexity 2018, 1-14, 2018
popFBA: tackling intratumour heterogeneity with Flux Balance Analysis
C Damiani, M Di Filippo, D Pescini, D Maspero, R Colombo, G Mauri
Bioinformatics 33 (14), i311-i318, 2017
Growth and division in a dynamic protocell model
M Villani, A Filisetti, A Graudenzi, C Damiani, T Carletti, R Serra
Life 4 (4), 837-864, 2014
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power
A Graudenzi, D Maspero, M Di Filippo, M Gnugnoli, C Isella, G Mauri, ...
Journal of biomedical informatics, 2018
Information transfer among coupled random boolean networks
C Damiani, SA Kauffman, R Serra, M Villani, A Colacci
Cellular Automata: 9th International Conference on Cellular Automata forá…, 2010
Interacting random boolean networks
R Serra, M Villani, C Damiani, A Graudenzi, A Colacci, SA Kauffman
Proceedings of ECCS07: European Conference on Complex Systems, 1-15, 2007
CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks
A Paroni, A Graudenzi, G Caravagna, C Damiani, G Mauri, M Antoniotti
BMC bioinformatics 17 (1), 1-12, 2016
An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes
C Damiani, D Pescini, R Colombo, S Molinari, L Alberghina, M Vanoni, ...
Natural Computing 13 (3), 321-331, 2014
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks
C Damiani, A Filisetti, A Graudenzi, P Lecca
Computational biology and chemistry 42, 5-17, 2013
Dynamical regimes in non-ergodic random Boolean networks
M Villani, D Campioli, C Damiani, A Roli, A Filisetti, R Serra
Natural Computing 16, 353-363, 2017
On RAF sets and autocatalytic cycles in random reaction networks
A Filisetti, M Villani, C Damiani, A Graudenzi, A Roli, W Hordijk, R Serra
Advances in Artificial Life and Evolutionary Computation: 9th Italianá…, 2014
Divergent in vitro/in vivo responses to drug treatments of highly aggressive NIH-Ras cancer cells: a PET imaging and metabolomics-mass-spectrometry study
D Gaglio, S Valtorta, M Ripamonti, M Bonanomi, C Damiani, S Todde, ...
Oncotarget 7 (32), 52017, 2016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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