Li Xing

scAGCI improves cell clustering in integrated scRNA-seq and scATAC-seq data by using anchor graphs to capture shared and specific information, achieving better performance and biological relevance.

This study investigates how voxelotor affects methemoglobin aggregation at different pH levels, finding it enhances fiber formation at pH 5.5 but reduces aggregation at physiological pH 7.1.

scAnnotate is a cell type annotation tool for scRNA-seq data that uses dropout information through a mixture model and ensemble learning, showing competitive performance across multiple datasets.

The paper extends a SARS-CoV-2-human protein-protein interaction network using a probabilistic database and identifies dense subgraphs to generate novel hypotheses about virus-targeting genes, proteins, and diseases.