SORBET: Automated cell-neighborhood analysis of spatial transcriptomics or proteomics for interpretable sample classification via GNN
Shay Shimonov, Joseph M Cunningham, Ronen Talmon, Lilach Aizenbud, Shruti J Desai, David L. Rimm, Kurt Alex Schalper, Harriet M. Kluger, Yuval Kluger
SORBET uses geometric deep learning to predict phenotypes from spatial transcriptomics and proteomics data, showing improved accuracy over existing methods.
bioRxiv · Dec 30, 2023 · PreprintBioinformatics