Author

Rainer Koenig

Jena University HospitalORCID 0000-0003-2051-7667Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

Eunice O. AdedejiiD· 1 shared Ezekiel Femi AdebiyiiD· 1 shared Franziska Hörhold· 1 shared Gregor BucheriD· 1 shared Jürgen DönitziD· 1 shared Kulwadee Thanamit· 1 shared Marcus OswaldiD· 1 shared Olufemi AromolaraniD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Eunice O. AdedejiORCID

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2 papers

Recent·Most cited

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedOct 4, 2021

Identifying essential genes across eukaryotes by machine learning

Thomas Beder, Olufemi Aromolaran, Jürgen Dönitz…·Rainer Koenig

The paper uses machine learning to predict essential genes across eukaryotes, achieving high accuracy and validating predictions in Tribolium castaneum.

22 citations

humanmouse

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 20, 2020

Gene expression profiles based flux balance model to predict the carbon source for Bacillus subtilis

Kulwadee Thanamit, Franziska Hörhold, Marcus Oswald, Rainer Koenig

The paper develops an FBA-based model using gene expression data to predict carbon sources for Bacillus subtilis, showing good agreement with 13C metabolic flux data.

1 citation

bacteria (other)bulk RNA-seq

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