SUICA combines a graph autoencoder with an implicit neural representation to impute and denoise spatial gene expression, reporting improved fidelity and biological signal preservation.
% rep- resents the proportion of the spots used for training while test set remains 20%
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SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
SUICA combines a graph autoencoder with an implicit neural representation to impute and denoise spatial gene expression, reporting improved fidelity and biological signal preservation.