scGSL tunes cell-cell graphs with GNN graph structure learning and pairwise alignment transfer, improving cell type annotation over 10 baselines and yielding graphs proposed to reflect tumor microenvironment interactions.
Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra -individual heterogeneity,
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Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data
scGSL tunes cell-cell graphs with GNN graph structure learning and pairwise alignment transfer, improving cell type annotation over 10 baselines and yielding graphs proposed to reflect tumor microenvironment interactions.