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IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 6, 2017
PREMER: A Tool to Infer Biological NetworksAlejandro F Villaverde, Kolja Becker, Julio R Banga
Plos Computational Biology|November 30, 2017
Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliationAlejandro F Villaverde, Julio R Banga
Journal of the Royal Society, Interface|December 6, 2013
Reverse engineering and identification in systems biology: strategies, perspectives and challengesAlejandro F Villaverde, Julio R Banga
BMC Systems Biology|May 7, 2017
Parameter identifiability analysis and visualization in large-scale kinetic models of biosystemsAttila Gábor, Alejandro F Villaverde, Julio R Banga
Plos Computational Biology|October 18, 2023
Distilling identifiable and interpretable dynamic models from biological dataGemma Massonis, Alejandro F Villaverde, Julio R Banga
Annual Reviews in Control|December 28, 2020
Structural identifiability and observability of compartmental models of the COVID-19 pandemicGemma Massonis, Julio R Banga, Alejandro F Villaverde
Bioinformatics (Oxford, England)|November 23, 2022
Improving dynamic predictions with ensembles of observable modelsGemma Massonis, Alejandro F Villaverde, Julio R Banga
Journal of the Royal Society, Interface|July 4, 2019
Full observability and estimation of unknown inputs, states and parameters of nonlinear biological modelsAlejandro F Villaverde, Nikolaos Tsiantis, Julio R Banga
Cells|April 9, 2014
Reverse engineering cellular networks with information theoretic methodsAlejandro F Villaverde, John Ross, Julio R Banga
BMC Systems Biology|June 26, 2012
A cooperative strategy for parameter estimation in large scale systems biology modelsAlejandro F Villaverde, Jose A Egea, Julio R Banga
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