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


Verena Siewers (contact)

Chalmers, Life Sciences, Systems and Synthetic Biology


Technical University of Denmark (DTU)

Lyngby, Denmark


Novo Nordisk Foundation

Project ID: CoopagreementChalmers/CFB
Funding Chalmers participation during 2021–2023

Related Areas of Advance and Infrastructure

Health Engineering

Areas of Advance

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