Collaboration on Yeast Modelling and Machine Learning
Research Project, 2021
– 2023
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
Participants
Verena Siewers (contact)
Chalmers, Life Sciences, Systems and Synthetic Biology
Collaborations
Technical University of Denmark (DTU)
Lyngby, Denmark
Funding
Novo Nordisk Foundation
Project ID: CoopagreementChalmers/CFB
Funding Chalmers participation during 2021–2023
Related Areas of Advance and Infrastructure
Health Engineering
Areas of Advance