Yuelong Shu

This paper introduces fluProfiler, a framework using viral sequences to predict antigenic relationships and improve vaccine strain selection by reducing reliance on time-consuming HI assays.

This paper introduces FluAdaX, a deep learning framework to predict influenza A virus cross-species transmission potential using genomic data, identifying key genes and variants associated with host adaptation.

The paper analyzes meta-transcriptomic data from companion animals to identify microbial communities and assess zoonotic risks.

The paper performs a meta-analysis of single-cell RNA data from 9 studies to identify consistent immune response patterns in COVID-19 patients, finding consistent upregulation of type I interferon and downregulation of mitochondrial genes.