Zheqi Hu

The paper introduces MAPS, a platform for unifying physical and molecular coordinates across modalities in spatial biology, demonstrating its effectiveness on diverse datasets and applications.

This paper introduces Histo3D-MO, a framework for reconstructing 3D spatial multi-omics maps at single-cell resolution, revealing spatial patterns in tumor microenvironments.

This paper introduces SpaWeaver, a framework for robust spatial multi-omics integration using weak anchors, showing improved performance in handling real-world challenges and enabling new biological insights.

HCCExplorer translates H&E slides into virtual multiplex immunofluorescence to identify prognostic spatial immune features in hepatocellular carcinoma.

LETSmix improves cell-type deconvolution in spatial transcriptomics by integrating spatial context and domain adaptation, achieving better accuracy than existing methods.

STEP enhances spatial transcriptome data to single-cell resolution and infers transcriptome-wide expression, enabling precise cell type prediction and intercellular communication analysis.