Collaboration on Yeast Modelling and Machine Learning

Aims of the project:

* Expand the converage and accuracy of the yeast-GEM

* Develop and apply tools for Bayesian modellong to address uncertainty in genome-scale models

* Apply tools for macine learning based on big data and genome-scale models to better understand metabolism and predict novel metabolic engineering strategies

Partner organizations

  • Technical University of Denmark (DTU) (Academic, Denmark)
Start date 01/01/2021
End date 31/12/2023

Page manager Published: Thu 25 Nov 2021.