Dominique‐Laurent Couturier

This study uses graph theory and imaging techniques to analyze vasculogenic mimicry in vitro and in vivo, showing its association with oxygenation heterogeneity and resistance to anti-angiogenic treatment.

scUnique measures ongoing chromosomal instability from single-cell whole genome sequencing data by identifying recent copy number aberrations in phylogenetic trees.

This paper introduces a Dirichlet-multinomial mixed model to analyze differential abundance of mutational signatures across clonal and subclonal mutations in cancer, finding significant differences in mutational processes between these groups.

The paper evaluates deconvolution methods for inferring immune infiltration from bulk gene expression using a DREAM Challenge, finding that some community-contributed methods, especially deep learning-based ones, perform well.

This study develops a framework to monitor and analyze the dynamic formation and dissolution of pseudo-vascular networks in vitro using time-resolved microscopy and image analysis, showing melanoma cells form the most stable networks and respond to specific drug treatments.

This paper develops a gene expression signature, Cam_121, to predict long-term outcomes in primary melanoma patients, showing improved accuracy compared to clinical and existing prognostic models.

This study identifies hotspot KRAS mutations as enriched in early brain metastases of melanoma, associated with worse survival and clonal origin, suggesting potential for risk stratification.