Unraveling spatial domain characterization in spatially resolved transcriptomics with robust graph contrastive clustering
Yingxi Zhang,
Zhuohan Yu,
Ka-Chun Wong
et al.
Abstract:Motivation
Spatial transcriptomics can quantify gene expression and its spatial distribution in tissues, thus revealing molecular mechanisms of cellular interactions underlying tissue heterogeneity, tissue regeneration, and spatially localized disease mechanisms. However, existing spatial clustering methods often fail to exploit the full potential of spatial information, resulting in inaccurate identification of spatial domains.
Results
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