Zizhang Li

PASTRI infers stage-specific cell-state transition rates from annotated cell lineages, revealing rate-limiting steps and attractor states in development and disease.

The paper develops DynaALS, a disease dynamics atlas for ALS that maps patient states and molecular programs using longitudinal medical records and multi-omics data.

VIACOT provides a web server for interactive visualization and comparison of cell lineage trees, enabling analysis of correlations and differences in cell fate across datasets.

The paper uses single-cell transcriptomes and lineage trees to show that sub-CLTs are stereotyped across biological replicates, indicating a robust developmental program.