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)

Forskningsprofessor at Chalmers, Biology and Biological Engineering, 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

More information

Latest update

2021-11-24