Yangen Zhan

MorphoProt: RNA-Conditioned Integration of Multiscale Histology for Spatial Protein Inference

MorphoProt predicts spatial protein abundance using RNA expression, multiscale histology, and tissue neighborhoods, outperforming baselines in human and mouse tissues.

LETSmix: a spatially informed and learning-based domain adaptation method for cell-type deconvolution in spatial transcriptomics

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

STEP: Deciphering Spatial Atlas at Single-Cell Level with Whole-Transcriptome Coverage

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