Author

Sofie Hoogstoel

Ghent UniversityORCID 0000-0003-1988-796XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Isabelle HoorensiD· 1 shared Jimmy Van den EyndeniD· 1 shared Sofie De SchepperiD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Anne VralORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintOct 28, 2026

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

Tom Luijts, Sofie Hoogstoel, Song Wen…·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.

DOI 10.64898/2026.07.08.737173

humanspatial transcriptomics

𝕏 PostBluesky