Author

Sander Thierens

Ghent UniversityORCID 0009-0008-8075-6567Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

Bert De RybeliD· 1 shared Dajo SmetiD· 1 shared Helder OpdebeeckiD· 1 shared Herman De BeukelaeriD· 1 shared Jasper ZuallaertiD· 1 shared Klaas VandepoeleiD· 1 shared Marc VAN MONTAGUiD· 1 shared Max MinneiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

Bert De RybelORCID

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1 paper

Recent·Most cited

Unraveling the cis-regulatory code controlling abscisic acid-dependent gene expression in Arabidopsis using deep learning

Helder Opdebeeck, Dajo Smet, Sander Thierens, Max Minne, Herman De Beukelaer, Jasper Zuallaert, Michiel Van Bel, Marc VAN MONTAGU, Sven Degroeve, Bert De Rybel, Klaas Vandepoele

The paper uses deep learning to predict ABA-responsive gene regulation in Arabidopsis by analyzing promoter sequences and identifies motifs beyond canonical ABF binding sites.

bioRxiv · Jun 3, 2025 · PreprintPlant Biology