Yuliang Wang

The paper establishes a single-cell atlas of human tooth development and uses it to guide the in vitro differentiation of ameloblasts from iPSCs, developing a mineralizing enamel organoid system.

The paper introduces perturb-Met, a method to identify metabolic network changes in neuronal subtypes from AD snRNA-seq data, revealing subtype-specific metabolic defects.

talklr identifies ligand-receptor interactions across cell types and conditions using an information theory-based approach, outperforming existing methods in diverse datasets.