Author

Stephan Hentrup

Aarhus University

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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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Assay:ChIP-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Camous MoslemiiD· 2 shared Guillaume P. RamsteiniD· 2 shared Julie D. Jensen· 2 shared T AspiD· 2 shared Tianyi Li· 2 shared Xiaqing YuiD· 2 shared Behrooz Vahedi TorghabehiD· 1 shared Birte BoeltiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenomics

Camous MoslemiORCID

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2 papers

Recent·Most cited

In vivo validation of predicted fitness effects at single-base resolution in a Brachypodium distachyon mutant population

Camous Moslemi, Marine Folgoas, Xiaqing Yu, Julie D. Jensen, Stephan Hentrup, Tianyi Li, Hai Wang, Birte Boelt, T Asp, Richard Sibout, Guillaume P. Ramstein

The paper validates variant effect predictions in a Brachypodium distachyon mutant population using burden and purging tests, showing ESM outperforms SIFT and PlantCAD for missense variants.

bioRxiv · Apr 2, 2026 · PreprintGenomics

Genomic language models improve cross-species gene expression prediction and accurately capture regulatory variant effects in Brachypodium mutant lines

Behrooz Vahedi Torghabeh, Camous Moslemi, Julie D. Jensen, Stephan Hentrup, Tianyi Li, Xiaqing Yu, Hao Wang, T Asp, Guillaume P. Ramstein

The paper develops deep learning models to predict gene expression across species and assesses their ability to capture regulatory variant effects in Brachypodium mutant lines, showing improved accuracy over existing methods.

bioRxiv · Mar 7, 2026 · PreprintBioinformatics