Haishan Zhang

scStripe detects and quantifies chromatin stripes in single-cell Hi-C data, resolving cell-type-specific regulatory features and capturing genome-wide variation.

DiffDomain-Spectrum identifies reorganized TADs from sparse aggregated scHi-C maps by analyzing eigenvalue spectra and comparing to a null model, showing higher sensitivity than existing methods.

This paper develops a machine learning model to identify iPS progenitor cells using microscopic image analysis, achieving over 52% precision in detecting these rare cells during early reprogramming.