Heterogeneous graph contrastive learning for integration and alignment of spatial transcriptomics data
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DOI: 10.1093/bib/bbaf497
Abstract: Abstract Spatial transcriptomics (ST) technology enables the simultaneous capture of gene expression profile and spatial information within 2D tissue slices. However, conventional analyses that process each individual slice independently often overlook shared features across multiple… read more here.
Keywords: heterogeneous graph; integration; spatial transcriptomics; integration alignment ... See more keywords