Author

Yunlong Bie

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Open access Oct 2026

Dynamic graph prior-guided latent adaptation for generalizable single-cell perturbation response prediction

Abstract Motivation Predicting transcriptional responses to drug perturbations in unseen cellular contexts is a central challenge in single-cell perturbation modeling. This challenge creates a need for models that combine flexible state transitions with structured biological prior knowledge. Existing data-driven models...

Yunlong Bie, Pei-Shan Fan, Qi-Jin Yin et al. · Bioinformatics · 0 citations

Open access Sep 2026

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...

Sheng-Jie Wang, Zong-Yong Hu, Yunlong Bie et al. · bioRxiv · 0 citations