Hanzhi Wang

This paper introduces a measure of transcriptional dyscoordination to quantify aging in single cells, showing it increases with age and is linked to cellular processes like senescence and genome instability.

This paper identifies context geometry compression in virtual cell models and shows that recoverable biological resolution, not measurement dimensionality, determines the accuracy of perturbation-response predictions.

The paper identifies Intervention Geometry Compression (IGC) in virtual-cell models, showing that high state similarity can mask loss of perturbation relationships, and proposes empirical anchoring to improve generalization.

CHASM detects chromosomal copy number alterations in single-cell data, revealing age-related genomic instability in specific cell types and states.

This paper introduces TraceBIND, a method to correct Tn5 bias in ATAC-seq data, improving TF footprint detection and revealing age-related regulatory changes in scATAC-seq.