Identification of perturbation-responsive regions and genes in comparative spatial transcriptomics atlases
Alan Yue Yang Teo, Matthieu Gautier, Laurent Pierre Brock, Jennifer Tsai, Alexandra de Coucy, Achilleas Laskaratos, Nicola Regazzi, Quentin Barraud, Michael V. Sofroniew, Mark A. Anderson, Grégoire Courtine, Jordan W. Squair, Michael A. Skinnider
The paper introduces Vespucci, a machine-learning method for identifying perturbation-responsive regions and genes in spatial transcriptomics data, showing it outperforms existing methods.
bioRxiv · Jun 13, 2024 · PreprintBioinformatics