Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Friederike Mey

Faculty of Bioscience Engineering > Department of Biotechnology

Work address: Coupure Links 653, geb. B
9000 Gent
Email: Friederike.Mey@UGent.be

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Improving the performance of machine learning models for biotechnology : the quest for deus ex machina

Friederike Mey (UGent) , Jim Clauwaert (UGent) , Kirsten Van Huffel (UGent) , Willem Waegeman (UGent) and Marjan De Mey (UGent)

(2021) BIOTECHNOLOGY ADVANCES. 53.
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- Miscellaneous
- open access
The quest for deus ex machina : harnessing the power of machine learning for synthetic biology

Friederike Mey (UGent) , Jim Clauwaert (UGent) , Kirsten Van Huffel (UGent) , Willem Waegeman (UGent) and Marjan De Mey (UGent)

(2021)
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- Journal Article
- A1
- open access
Predictive design of sigma factor-specific promoters

Maarten Van Brempt, Jim Clauwaert (UGent) , Friederike Mey (UGent) , Michiel Stock (UGent) , Jo Maertens (UGent) , Willem Waegeman (UGent) and Marjan De Mey (UGent)

(2020) NATURE COMMUNICATIONS. 11(1).
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The quest for deus ex machina : harnessing the power of machine learning for synthetic biology

Friederike Mey (UGent) , Jim Clauwaert (UGent) , Kirsten Van Huffel (UGent) , Willem Waegeman (UGent) and Marjan De Mey (UGent)

(2020) 5th Applied Synthetic Biology in Europe meeting (ASBE V), Abstracts.