Articles dans des revues avec comité de lecture (96)
  1. 8. Bogaerts, P., & Rooman, M. (2021). Discopolis 2.0: A new recursive version of the algorithm for uniform sampling of metabolic flux distributions with linear programming. IFAC-PapersOnLine, 54(3), 300-305. doi:10.1016/j.ifacol.2021.08.258
  2. 9. Maton, M., Bogaerts, P., & Wouwer, A. V. (2021). Selection of a minimal suboptimal set of EFMs for dynamic metabolic modelling. IFAC-PapersOnLine, 54(3), 667-672. doi:10.1016/j.ifacol.2021.08.318
  3. 10. Pucci, F., Bogaerts, P., & Rooman, M. (2020). Modeling the Molecular Impact of SARS-CoV-2 Infection on the Renin-Angiotensin System. Viruses, 12(12), 1367. doi:10.3390/v12121367
  4. 11. Abbate, T., Dewasme, L., Wouwer, A. V., & Bogaerts, P. (2020). Adaptive flux variability analysis of HEK cell cultures. Computers & chemical engineering, 133, 106633. doi:10.1016/j.compchemeng.2019.106633
  5. 12. Plaza Dorado, J., & Bogaerts, P. (2019). FBA-based simulator of Saccharomyces cerevisiae fed-batch cultures involving an internal unbalanced metabolite. IFAC-PapersOnLine, 52(26), 169-174. doi:10.1016/j.ifacol.2019.12.253
  6. 13. Plaza Dorado, J., & Bogaerts, P. (2019). FBA-based prediction of biomass and ethanol concentration time profiles in: Saccharomyces cerevisiae FED-bath cultures. IFAC-PapersOnLine, 52(1), 82-87. doi:10.1016/j.ifacol.2019.06.041
  7. 14. Gziri, K. M., & Bogaerts, P. (2019). Determining a unique solution to underdetermined metabolic networks via a systematic path through the Most Accurate Fluxes. IFAC-PapersOnLine, 52(1), 352-357. doi:10.1016/j.ifacol.2019.06.087
  8. 15. Abbate, T., Dewasme, L., Bogaerts, P., & Vande Wouwer, A. (2019). Adaptive flux variability analysis: A tool to deal with uncertainties. IFAC-PapersOnLine, 52(1), 70-75. doi:10.1016/j.ifacol.2019.06.039
  9. 16. Bogaerts, P., & Rooman, M. (2019). DISCOPOLIS : an algorithm for uniform sampling of metabolic flux distributions via iterative sequences of linear programs. IFAC-PapersOnLine, 52-26, 269-274.
  10. 17. Vande Wouwer, A., Bogaerts, P., Van Impe, J., & Vargas, A. (2019). Mathematical modeling and dynamic analysis of complex biological systems. Complexity, 2019, 4858423. doi:10.1155/2019/4858423
  11. 18. Plaza Dorado, J., & Bogaerts, P. (2018). Dynamic flux balance analysis for predicting biomass growth and ethanol production in yeast fed-batch cultures. IFAC-PapersOnLine, 51(2), 631-636. doi:10.1016/j.ifacol.2018.03.107
  12. 19. Bogaerts, P., Mhallem Gziri, K., & Richelle, A. (2017). From MFA to FBA: Defining linear constraints accounting for overflow metabolism in a macroscopic FBA-based dynamical model of cell cultures in bioreactor. Journal of process control, 60, 34-47. doi:10.1016/j.jprocont.2017.06.018
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