Author

Guillaume Cattebeke

Ghent UniversityORCID 0009-0002-7220-3539Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Dieter L. D. DeforceiD· 2 shared Filip Van NieuwerburghiD· 2 shared Aaron Verplancke· 1 shared Anne-Sofie VermeerschiD· 1 shared Danique BerrevoetiD· 1 shared Davie CappoeniD· 1 shared Elise CallensiD· 1 shared Hannes SyryniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

Dieter L. D. DeforceORCID

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2 papers

Recent·Most cited

A laser capture microdissection-based method for high-sensitivity transcriptomics from archived FFPE tissue slides with single-cell resolution using LCM-FFPEseq

Elise Callens, Hannes Syryn, Koen Deserranno, Guillaume Cattebeke, Henri Couckuyt, Julie Van De Velde, Danique Berrevoet, Aaron Verplancke, Dieter L. D. Deforce, Ward De Spiegelaere, Koen K Van de Vijver, Martine Cools, Filip Van Nieuwerburgh

LCM-FFPEseq enables high-sensitivity transcriptomics from FFPE tissues with single-cell resolution, detecting over 14,000 genes per sample using as few as 30 cells.

Scientific Reports · Sep 1, 2026Peer-reviewedGenomics

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