Author

Wouter Willaert

Ghent UniversityORCID 0000-0002-0885-6749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:variant calling· 2 Research Focus:clustering· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Anne VraliD· 2 shared Jimmy Van den EyndeniD· 2 shared Tom LuijtsiD· 2 shared Arne ClaeysiD· 1 shared E. PappaertiD· 1 shared Elien BeylsiD· 1 shared Ellen De MeesteriD· 1 shared Erik LarssoniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

Anne VralORCID

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2 papers

Recent·Most cited

Predicting clonal mutations from tumour spatial transcriptomics data using a graph convolutional neural network

Tom Luijts, Sofie Hoogstoel, Song Wen, E. Pappaert, Ellen De Meester, Evelien Van Hamme, Sofie De Schepper, Wouter Willaert, Anne Vral, Isabelle Hoorens, Jimmy Van den Eynden

This paper introduces SPOT-Mut, a graph convolutional neural network that predicts clonal mutations from spatial transcriptomics data, achieving high precision and recall for key driver genes.

bioRxiv · Oct 28, 2026 · PreprintCancer Biology

A clinically annotated post-mortem approach to study multi-organ somatic mutational clonality in histologically healthy tissues.

Tom Luijts, Kerryn Elliott, Joachim T. Siaw, Joris Van de Velde, Elien Beyls, Arne Claeys, Tim Lammens, Erik Larsson, Wouter Willaert, Anne Vral, Jimmy Van den Eynden

The paper uses post-mortem tissues to study mutational clonality in healthy tissues, finding smoking-induced clonal changes in oral epithelia and confirming NOTCH1/2-, TP53-, and FAT1-driven clones.

bioRxiv · Feb 27, 2022 · PreprintGenomics