Yunshan Zhong

RedeHist predicts spatial transcriptomics data from histology images at single-cell resolution using deep learning, outperforming existing methods in accuracy and gene imputation.

RedeFISH improves imaging-based spatial transcriptomics by simultaneously segmenting cells and imputing gene expression using single-cell RNA sequencing data.

Redeconve deconvolutes spatial transcriptomics data at single-cell resolution, outperforming existing methods in accuracy and speed across multiple datasets.