Haiyang Bian

Dec 22, 2024 | biorxiv.org | Chen Li |Haoxiang Gao |Haiyang Bian |Qing Chen

AbstractUnderstanding perturbations at the single-cell level is essential for unraveling cellular mechanisms and their implications in health and disease. The growing availability of biological data has driven the development of a variety of in silico perturbation methods designed for single-cell analysis, which offer a means to address many inherent limitations of experimental approaches.

Feb 9, 2024 | biorxiv.org | Chen Li |Sijie Chen |Yixin Chen |Haiyang Bian

AbstractCell state transitions are complicated processes that occur in various life activities. Understanding and artificially manipulating them have been longstanding challenges. Substantial experiments reveal that the transitions could be directed by several key transcription factors (TFs). Here we present scDirect, a computational framework to identify key TFs based on single-cell RNA-seq and ATAC-seq data.

Jan 9, 2024 | biorxiv.org | Chen Li |Sijie Chen |Yixin Chen |Haiyang Bian

AbstractCell state transitions are complicated processes that occur in various life activities. Understanding and artificially manipulating them have been longstanding challenges.