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PerturbCellRL: Aligning Distributions and Grounding Biology via Post-Training Perturbation Generators
Single-cell perturbation models can reduce costly wet-lab screening by predicting how cells respond transcriptionally to interventions. Recent advances in flow-matching have enabled population-level prediction of cellular responses. However, flow-matching training can fail to recover certain target
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