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

Samarbetande organisationer

• Danmarks Tekniske Universitet (DTU) (Akademisk, Denmark)