StateXDiff integrates transcriptomic profiles with inferred protein features via a conditional diffusion model and mechanism-aware drug templates to predict single-cell drug perturbation responses under unseen cell lines, drugs, and combinatorial settings.
Predicting drug responses of unseen cell types through transfer learning with foundation models
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StateXDiff: Cell State-Contextualized Multimodal Diffusion for Single-Cell Perturbation Prediction
StateXDiff integrates transcriptomic profiles with inferred protein features via a conditional diffusion model and mechanism-aware drug templates to predict single-cell drug perturbation responses under unseen cell lines, drugs, and combinatorial settings.