Kai Liu

This paper introduces CellTempo, a framework that forecasts long-range cell state trajectories from static transcriptomic data, demonstrating its ability to predict lineage progression and distinguish perturbation responses from long-term fate changes.

AnewSampling is a generative model that accurately samples all-atom equilibrium distributions of biomolecular interactions, outperforming prior methods and enabling efficient exploration of conformational landscapes.

This study benchmarks 10 in silico gene perturbation methods across four scenarios, identifying strengths and limitations in predicting perturbation effects and zero-shot transfer.