Evelien Van Hamme

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.

This study benchmarks multiple sequencing-based spatial transcriptomics platforms across tissue types and preservation methods to evaluate their performance and establish standardized metrics for future research.

The paper identifies a novel fibroblast subtype in the choroid plexus that forms a barrier between the choroid plexus stroma, brain, and cerebrospinal fluid.

SPArrOW is a pipeline for spatial transcriptomics analysis that improves data quality, provides visual quality checks, and enables interactive exploration and optimization of processing parameters.

The paper identifies crosstalk between ERRalpha and PPARalpha transcription factors, showing ERRalpha can act as both a repressor and activator of PPARalpha-mediated gene expression.