Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network
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DOI: 10.1093/gigascience/giae103
Abstract: Abstract Background The accurate deciphering of spatial domains, along with the identification of differentially expressed genes and the inference of cellular trajectory based on spatial transcriptomic (ST) data, holds significant potential for enhancing our understanding… read more here.
Keywords: graph attention; subspace clustering; multiscale deep; attention autoencoder ... See more keywords