Tom Luijts

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 uses whole genome sequencing to trace the early origins of small intestine neuroendocrine tumors, showing that major genetic changes and metastases can originate in childhood or adolescence.

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.