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Bayesian Integrative Modeling of Genome-Scale Metabolic and Regulatory Networks., , , and . Informatics, 7 (1): 1 (2020)OPINION PAPER Evolutionary Constraint-Based Formulation Requires New Bi-level Solving Techniques., , , and . CMSB, volume 9308 of Lecture Notes in Computer Science, page 279-281. Springer, (2015)F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks, , , and . BMC Bioinformatics, (2012)Control of fluxes in metabolic networks., , , , and . Genome research, 26 (7): 956--968 (Jul 1, 2016)A new constraint-based description of the steady-state flux cone of metabolic networks., and . Discret. Appl. Math., 157 (10): 2257-2266 (2009)FFCA: a feasibility-based method for flux coupling analysis of metabolic networks, , , , and . BMC Bioinformatics, 12 (1): 236+ (2011)Computational metabolic engineering of Arabidopsis thaliana for increased biomass production., , , and . IWBBIO, page 223. Copicentro Editorial, (2013)On Inner and Outer Descriptions of the Steady-State Flux Cone of a Metabolic Network., and . CMSB, volume 5307 of Lecture Notes in Computer Science, page 308-327. Springer, (2008)A New Approach to Flux Coupling Analysis of Metabolic Networks., and . CompLife, volume 4216 of Lecture Notes in Computer Science, page 205-215. Springer, (2006)FFCA: a feasibility-based method for flux coupling analysis of metabolic networks., , , , and . BMC Bioinform., (2011)