Publicacións en colaboración con investigadores/as de Instituto de Investigacións Mariñas (14)

2022

  1. Feedback control of stochastic gene switches using PIDE models

    IFAC-PapersOnLine

  2. First passage times as a measure of hysteresis in stochastic gene regulatory circuits

    IFAC-PapersOnLine

  3. Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study

    Chaos, Solitons and Fractals, Vol. 164

  4. Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year study

    Science of the Total Environment, Vol. 833

2019

  1. Exponential equilibration of genetic circuits using entropy methods

    Journal of Mathematical Biology, Vol. 78, Núm. 1-2, pp. 373-411

  2. Transient hysteresis and inherent stochasticity in gene regulatory networks

    Nature Communications, Vol. 10, Núm. 1

2018

  1. Efficient simulation of stochastic gene regulatory networks⁎

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

  2. Numerical analysis of a method for a partial integro-differential equation model in regulatory gene networks

    Mathematical Models and Methods in Applied Sciences, Vol. 28, Núm. 10, pp. 2069-2095

  3. Routes to Multiple Equilibria for Mass-Action Kinetic Systems

    Complexity, Vol. 2018

  4. SELANSI: A toolbox for simulation of stochastic gene regulatory networks

    Bioinformatics, Vol. 34, Núm. 5, pp. 893-895

2017

  1. Stochastic modeling and numerical simulation of gene regulatory networks with protein bursting

    Journal of Theoretical Biology, Vol. 421, pp. 51-70

2016

  1. On the applicability of deterministic approximations to model genetic circuits

    IFAC-PapersOnLine

  2. Stability of stochastic gene regulatory networks using entropy methods

    IFAC-PapersOnLine

2015

  1. Shaping protein distributions in stochastic self-regulated gene expression networks

    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 92, Núm. 3