Chiara Damiani

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Alex GraudenziDept. of Informatics, Systems and Communication, Univ. of Milan-BicoccaEmail verificata su unimib.it
Roberto SERRAUniversità di Modena; European Centre for Living Technology, Venice;Email verificata su unimore.it
Giancarlo MauriProfessor emeritus of Computer Science - University of Milano-BicoccaEmail verificata su unimib.it
Marco VILLANIUniversity of Modena and Reggio EmiliaEmail verificata su unimore.it
Dario PesciniDepartment of Statistics and Quantitative Methods - University of Milano-BicoccaEmail verificata su unimib.it
Riccardo ColomboBioRep S.r.l.Email verificata su biorep.it
Marco VanoniUniversity of Milano Bicocca, Professor of Biochemistry and Systems BiologyEmail verificata su unimib.it
Marzia Di FilippoUniversity of Milano-BicoccaEmail verificata su unimib.it
Davide MasperoSingle Cell Genomics Team - Centre Nacional d’Anàlisi Genòmica (CNAG-CRG), Barcelona, SpainEmail verificata su cnag.crg.eu
Lilia AlberghinaEmeritus Professor of Biochemistry, University of Milano-BicoccaEmail verificata su unimib.it
Annamaria ColacciDirigente Arpa Emilia Romafna- Email verificata su unibo.it
Marco AntoniottiProfessor of Computer Science, Università degli Studi di Milano-BicoccaEmail verificata su unimib.it
Alessandro FilisettiCIO at Officinae Bio S.r.l.Email verificata su officinae.bio
Marco S. NobileAssociate Professor, Ca' Foscari University of VeniceEmail verificata su unive.it
Hans WesterhoffUniversity of Amsterdam, VU University Amsterdam, University of ManchesterEmail verificata su manchester.ac.uk
Paolo CazzanigaAssociate Professor, University of BergamoEmail verificata su unibg.it
Dr. Sara MolinariPostdoctoral Research Associate - Rice UniversityEmail verificata su rice.edu
Andrea RoliDept. of Computer Science and Engineering (DISI), Campus of Cesena, Università di BolognaEmail verificata su unibo.it
Giulio CaravagnaCancer Data Science Laboratory, University of TriesteEmail verificata su units.it
Daniela BesozziAssociate Professor, University of Milano-BicoccaEmail verificata su unimib.it

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Chiara Damiani

Department of Biotechnology and Biosciences

Email verificata su unimib.it - Home page

Computational Systems Biology Metabolic Network modeling Omics data integration Single-cell RNAseq data analysis


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	66	2019
A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The … C Damiani, R Colombo, D Gaglio, F Mastroianni, D Pescini, ... PLoS computational biology 13 (9), e1005758, 2017	64	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	64	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	56	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	40	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	37	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	31	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	31	2008
Dynamical criticality in gene regulatory networks M Villani, L La Rocca, SA Kauffman, R Serra Complexity 2018, 1-14, 2018	29	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	26	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	24	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	22	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 for …, 2010	22	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	21	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	20	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	20	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	20	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	15	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 Italian …, 2014	15	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	14	2016

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