Haihui Zhang

scBIOT introduces a biologically informed optimal transport framework for single-cell alignment, enabling scalable analysis and downstream biological inference across multiple tasks.

This study investigates how lamins and nesprins influence gene expression through chromatin conformation changes using RNA-seq and live imaging techniques.

This paper develops a rapid, sensitive, and point-of-care FV3 detection system combining RPA-CRISPR/Cas12a with smartphone microscopy and deep learning, achieving 100% accuracy in classification.