Publicacións nas que colabora con Julio Rodríguez Banga (34)

2023

  1. Assessment of Prediction Uncertainty Quantification Methods in Systems Biology

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 20, Núm. 3, pp. 1725-1736

  2. AutoRepar: A method to obtain identifiable and observable reparameterizations of dynamic models with mechanistic insights

    International Journal of Robust and Nonlinear Control, Vol. 33, Núm. 9, pp. 5039-5057

  3. Distilling identifiable and interpretable dynamic models from biological data

    PLoS Computational Biology, Vol. 19, Núm. 10

  4. Improving dynamic predictions with ensembles of observable models

    Bioinformatics (Oxford, England), Vol. 39, Núm. 1

2022

  1. A protocol for dynamic model calibration

    Briefings in bioinformatics, Vol. 23, Núm. 1

2019

  1. A Comparison of Methods for Quantifying Prediction Uncertainty in Systems Biology

    IFAC-PapersOnLine

  2. Análisis de observabilidad e identificabilidad estructural de modelos no lineales: aplicación a la vía de señalización JAK/STAT

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019

  3. Benchmarking optimization methods for parameter estimation in large kinetic models

    Bioinformatics, Vol. 35, Núm. 5, pp. 830-838

  4. Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models

    Journal of the Royal Society Interface, Vol. 16, Núm. 156

  5. Input-dependent structural identifiability of nonlinear systems

    IEEE Control Systems Letters, Vol. 3, Núm. 2, pp. 272-277

2018

  1. PREMER: A Tool to Infer Biological Networks

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 15, Núm. 4, pp. 1193-1202

  2. Sufficiently Exciting Inputs for Structurally Identifiable Systems Biology Models

    7th Conference on Foundation of Systems Biology in Engineering FOSBE 2018: Chicago, Illinois, USA, 05-08 August 2018

2017

  1. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models

    PLoS Computational Biology, Vol. 13, Núm. 2

  2. Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliation

    PLoS Computational Biology, Vol. 13, Núm. 11

  3. Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems

    BMC Systems Biology, Vol. 11, Núm. 1

  4. Structural properties of dynamic systems biology models: Identifiability, reachability, and initial conditions

    Processes, Vol. 5, Núm. 2

2016

  1. Metabolic engineering with multi-objective optimization of kinetic models

    Journal of Biotechnology, Vol. 222, pp. 1-8

  2. On the relationship between sloppiness and identifiability

    Mathematical Biosciences, Vol. 282, pp. 147-161

  3. PREMER: Parallel reverse engineering of biological networks with information theory

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. A consensus approach for estimating the predictive accuracy of dynamic models in biology

    Computer Methods and Programs in Biomedicine, Vol. 119, Núm. 1, pp. 17-28