Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties
Published in Plos Computational Biology, 2019
Recommended citation: Miskovic L, Béal J, Moret M, Hatzimanikatis V (2019) Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties. PLoS Comput Biol 15(8): e1007242. https://jonasbeal.github.io/files/journal.pcbi.1007242.pdf
This paper, from a previous internship in EPFL, presents machine learning approches applied to study and reduce the uncertainty of parameters in Flux Balance Analysis models.