Publicacións en colaboración con investigadores/as de Instituto de Investigacións Mariñas (43)

2023

  1. 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

2022

  1. A protocol for dynamic model calibration

    Briefings in bioinformatics, Vol. 23, Núm. 1

2021

  1. On testing structural identifiability by a simple scaling method: Relying on scaling symmetries can be misleading

    PLoS Computational Biology, Vol. 17, Núm. 10

  2. PEtab - Interoperable specification of parameter estimation problems in systems biology

    PLoS Computational Biology, Vol. 17, Núm. 1

  3. Structural identifiability and observability of compartmental models of the COVID-19 pandemic

    Annual Reviews in Control, Vol. 51, pp. 441-459

2020

  1. Finding and breaking lie symmetries: Implications for structural identifiability and observability in biological modelling

    Symmetry, Vol. 12, Núm. 3

  2. Nonlinear observability algorithms with known and unknown inputs: Analysis and implementation

    Mathematics, Vol. 8, Núm. 11, pp. 1-27

2019

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

    IFAC-PapersOnLine

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

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

  3. Computational Methods for Identification and Modelling of Complex Biological Systems

    Complexity

  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

  6. Observability and Structural Identifiability of Nonlinear Biological Systems

    Complexity, Vol. 2019

2018

  1. 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