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.
Cell –cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies,
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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.