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Author

Ruoyan Dai

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Review Jul 2026

DSSMST: A Deterministic State Space Model for Self-Supervised Spatial Domain Identification in Spatial Transcriptomics.

DSSMST is introduced, a Deterministic State Space Model for Spatial Transcriptomics, as a self-supervised learning (SSL) framework that integrates a Deterministic State Space Model (DSSM), graph neural networks (GNNs), and contrastive learning.

Jirui Zhang, Xing-Yu Liu, Mao-Yuan Zhou et al. · 0 citations
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-autocorrelatio...

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

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