Hu Cang

The paper identifies and quantifies leakage in single-cell benchmarks caused by group-owned answers and introduces a tool to assess this leakage before model training.

This paper develops a species-native representation for Xenopus laevis to compare regenerative competence across species and identifies a vector competence ruler that distinguishes regenerative from fibrotic repair in mice.

The paper introduces gateway analysis to identify rare transient cell states at fate transitions in single-cell atlases and finds it detects previously missed molecular programs.

DistortCorrect Stitcher improves microscopy image stitching by integrating optical distortion correction, enhancing alignment accuracy for spatial transcriptomics data.