Simulated Design–Build–Test–Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering

Paul van Lent; Joep Schmitz; Thomas Abeel

doi:10.1021/acssynbio.3c00186

journal article Open Access Aug 24, 2023

Simulated Design–Build–Test–Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering

Paul van Lent

Joep Schmitz Thomas Abeel

ACS Synthetic Biology Vol. 12 No. 9 pp. 2588-2599 · American Chemical Society (ACS)

View at Publisher Save 10.1021/acssynbio.3c00186

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References

Details

Published: Aug 24, 2023
Vol/Issue: 12(9)
Pages: 2588-2599
License: View

Authors

P

Paul van Lent

Delft Bioinformatics Lab, Delft University of Technology Van Mourik, Delft 2628 XE, The Netherlands

J

Joep Schmitz

Department of Science and Research, Joep Schmitz - dsm-firmenich, Science & Research, P.O. Box 1, 2600 MA Delft, The Netherlands

T

Thomas Abeel

Delft Bioinformatics Lab, Delft University of Technology Van Mourik, Delft 2628 XE, The Netherlands; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States

Funding

Firmenich

DSM

Cite This Article

Paul van Lent, Joep Schmitz, Thomas Abeel (2023). Simulated Design–Build–Test–Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering. ACS Synthetic Biology, 12(9), 2588-2599. https://doi.org/10.1021/acssynbio.3c00186

Simulated Design–Build–Test–Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering

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