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Zhenxing Li

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Jul 2026

A multi-scale graph frequency network for structural and functional region analysis in spatial transcriptomics

E evaluation across diverse biological systems shows that SGFN achieves improved or competitive performance relative to representative baseline methods in reference-based benchmarks, and identifies biologically coherent spatial or functional regions in unlabeled datasets supported by marker-gene, spatial-autocorrelation, cell-type-colocalization, and pathway-enrichment evidence.

Ruoyan Dai, Zhenghui Wang, Zhiwei Zhang et al. · 0 citations

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