Author

Lilli Johanna Freischem

University of EdinburghORCID 0009-0001-5829-2718Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

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Organism:E. coli· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

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Diego A. OyarzúniD· 1 shared Mauricio BarahonaiD· 1 shared

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2022-2022 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperSystems Biology

Diego A. OyarzúnORCID

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1 paper

Recent·Most cited

Systems BiologyIFAC-PapersOnLinePeer-reviewedJan 1, 2022

Prediction of gene essentiality using machine learning and genome-scale metabolic models

Lilli Johanna Freischem, Mauricio Barahona, Diego A. Oyarzún

This paper predicts gene essentiality using machine learning on wild-type flux distributions, achieving near state-of-the-art accuracy for Escherichia coli.

10 citations

E. colimachine learning (classical)

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