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Yingfu Wu

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Open access Jul 2026

Deciphering spatial heterogeneity by multimodal spatial transcriptomics modelling with SpatialModal

Abstract Motivation Advances in spatial transcriptomics (ST) technologies have made it possible to jointly acquire gene expression and histological image information while preserving spatial coordinates. This breakthrough presents unprecedented opportunities for the precise dissection of spatial heterogeneity in comple...

Xingyi Li, Dongmin Zhao, Xiangting Jia et al. · 0 citations
Open access Jul 2026

Geometric-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics.

SpatialGEO, a geometric-aware deep learning framework that integrates gene expression profiles with spatial coordinates to generate biologically meaningful low-dimensional embeddings, enabling the dissection of complex tissue architectures, achieves superior performance in tissue structure dissection and data denoising...

Xing-Yi Li, Xiang-Ting Jia, Dong-Min Zhao et al. · 1 citation

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