Author

Elif Eliana

Wageningen University & Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Organism:yeast· 2 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Joep P. J. Schmitz· 2 shared Maria Suarez DieziD· 2 shared Rianne van der Hoek· 2 shared Sara Moreno PaziD· 2 shared Vítor A. P. Martins dos SantosiD· 2 shared Priscilla ZwartjensiD· 1 shared S. Gosiewska· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioengineering

Joep P. J. Schmitz

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2 papers

Recent·Most cited

BioengineeringACS Synthetic BiologyPeer-reviewedMar 28, 2024

Machine learning-guided optimization of p-coumaric acid production in yeast

Sara Moreno Paz, Rianne van der Hoek, Elif Eliana…·Maria Suarez Diez

The paper uses machine learning to optimize p-coumaric acid production in yeast through DBTL cycles, achieving a 68% increase in production.

42 citationstop 3%

yeastmachine learning (classical)

𝕏 PostBluesky

BioengineeringMicrobial BiotechnologyPeer-reviewedMar 1, 2024

Combinatorial optimization of pathway, process and media for the production of p-coumaric acid by Saccharomyces cerevisiae

Sara Moreno Paz, Rianne van der Hoek, Elif Eliana…·Maria Suarez Diez

This study optimizes p-coumaric acid production in Saccharomyces cerevisiae by combining statistical experimental design with process and genetic factors, achieving a 168-fold increase in titer.

5 citations

yeaststatistical model

𝕏 PostBluesky