Author

Isabelle Hoorens

Ghent University HospitalORCID 0000-0002-2513-035XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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

Frequent Co-Authors

Anne VraliD· 1 shared E. PappaertiD· 1 shared Ellen De MeesteriD· 1 shared Evelien Van HammeiD· 1 shared Jimmy Van den EyndeniD· 1 shared Sofie De SchepperiD· 1 shared Sofie HoogstoeliD· 1 shared Song WeniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Anne VralORCID

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1 paper

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