Lin Shen

STPAINTER enhances spatial transcriptomics data using a pre-trained scRNA-seq atlas, enabling high-fidelity downstream analysis across cancer types.

This paper introduces a computational framework for true 3D spatial reconstruction of tissues, demonstrating improved fidelity over 2D methods across multiple spatial omics modalities.

The paper introduces UCASpatial, an ultra-precision spatial transcriptomics deconvolution algorithm, to improve the identification of immune cell subpopulations and their functional roles in tissue microenvironments.