Author

Peijie Zhou

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Open access Sep 2026

Learning stochastic dynamics and cell-fate landscapes from single-cell snapshots via optimal transport

The temporal dynamics and stochasticity of gene expression are critical to cell fate decisions, yet integrating snapshot omics data across multiple time points remains a major challenge. Here, we introduce DiffusionOT, a dynamic machine learning framework that infers cellular trajectories from multi–time point single-c...

Jun-Tan Liu, Peijie Zhou, Qing Nie et al. · Science Advances · 0 citations

Sep 2026

An operational perturbation proteomics-based virtual cell model.

This work generated more than 38 million temporal protein-abundance measurements from systematically perturbed breast cancer cell lines, and developed ProteinTalks, a virtual cell model that achieves higher performance than the selected benchmark implementations under the evaluated protocols.

R. Sun, Liujia Qian, Yong-Ge Li et al. · Nature · 1 citation