Yunlong Bie

scRep: A Latent-Space Self-Distilled Foundation Model for Single-Cell Representation Learning

Single-cell foundation models have shown strong potential for learning transferable representations from large-scale transcriptomic data. However, many existing approaches rely on reconstructing masked gene expression values, creating a potential mismatch between observation-space reconstruction and the goal of learnin...