Mapping the topography of spatial gene expression with interpretable deep learning
Uthsav Chitra, Brian J. Arnold, Hirak Sarkar, Kohei Sanno, Cong Ma, Sereno L. Lopez-Darwin, Benjamin J. Raphael
This paper introduces GASTON, an interpretable deep learning method to map spatial gene expression topography, identifying gradients and domains in spatial transcriptomics data.
Nature Methods · Jan 23, 2025Peer-reviewedBioinformatics