Wenyi Zhao

CHORD integrates cross-species single-cell transcriptomic data to learn gene, cell, and cell-type representations, enabling cell-type annotation and cross-species comparison of developmental and phenotypic patterns.

TopicVI identifies context-specific gene programs in single-cell and spatial transcriptomics data by integrating biological knowledge with data-driven refinement.

TRAIT compiles nearly 8 million experimentally validated TCR-antigen pairs to provide a comprehensive resource for T-cell receptor interactions, aiding immunotherapy and vaccine design.

The paper predicts potential B/T-cell epitopes for multiple coronaviruses and stores the results in a database for vaccine development.