Author

Anne-Sofie Vermeersch

Ghent UniversityORCID 0000-0002-3205-6346Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 2 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Filip Van NieuwerburghiD· 3 shared Caroline StruyfsiD· 2 shared Kevin K. AriëniD· 2 shared Ole LagatieiD· 2 shared Thomas-Wolf VerdoncktiD· 2 shared Adam Tully WaickmaniD· 1 shared Davie CappoeniD· 1 shared Dieter L. D. DeforceiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Filip Van NieuwerburghORCID

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3 papers

Recent·Most cited

Equi-depth pooling for standardized and cost-effective Adaptive Immune Receptor Repertoire sequencing (AIRRseq)

Thomas-Wolf Verdonckt, Marek Sahulčík, Caroline Struyfs, Anne-Sofie Vermeersch, Koen Bartholomeeusen, Filip Van Nieuwerburgh, Ole Lagatie, Kevin K. Ariën

This paper introduces equi-depth pooling to balance sequencing depth in bulk AIRRseq, reducing costs and eliminating sampling bias.

bioRxiv · Aug 1, 2026 · PreprintBioinformatics

Integrated single-cell analysis reveals interferon-driven immune signatures in a DENV1 human infection model.

Anne-Sofie Vermeersch, Thomas-Wolf Verdonckt, Caroline Struyfs, Ellen De Meester, Adam Tully Waickman, S M Thomas, Kevin K. Ariën, Ole Lagatie, Filip Van Nieuwerburgh

The paper uses single-cell multi-omics to analyze DENV-1 infection, revealing interferon-driven immune responses and cell-type interactions in human blood.

bioRxiv · Jan 5, 2026 · PreprintMicrobiology

Mechanistically Interpretable Toxicity Prediction Through Multimodal Integration of Structure and Transcriptomics

Guillaume Cattebeke, Anne-Sofie Vermeersch, Davie Cappoen, Dieter L. D. Deforce, Filip Van Nieuwerburgh

The paper develops a multimodal model integrating chemical structure and transcriptomics to predict toxicity, achieving robust performance across multiple assays and providing mechanistic insights.

bioRxiv · Nov 14, 2025 · PreprintBioinformatics