Laurent Brock

Jun 13, 2024 | biorxiv.org | Matthieu Gautier |Laurent Brock |Jennifer Tsai |Alexandra de Coucy

AbstractWe introduce Vespucci, a machine-learning method to identify perturbation-responsive regions, genes and gene programs within comparative spatial transcriptomics atlases. We validate Vespucci on simulated and published datasets and show that it outperforms 19 published computational methods for spatial transcriptomics. We apply Vespucci to expose the spatial organization of gene programs activated by therapies that guide repair of the injured spinal cord.