Siyu Han

This study benchmarks single-cell foundation models for data integration using real-world RNA-seq data and finds that fine-tuned scGPT_CP performs best in technical correction while scVI is the top overall performer.

LEOPARD completes missing views in multi-timepoint omics data by disentangling content and temporal representations, outperforming existing methods on benchmark datasets.