Yufan Xia

This study benchmarks self-supervised learning techniques in single-cell genomics, finding masked autoencoders outperform contrastive methods in cell type prediction and data integration.

This paper develops a genome-scale metabolic model for A. baumannii to identify antimicrobial targets and validate its predictive capabilities using experimental data.