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Do Perturbation Predictors Learn Gene Interactions? Diagnosing Extrapolation in Agentic Screening
High-throughput perturbation screens increasingly use machine-learning models to predict the effects of gene combinations that were never measured. A difficult case arises when both genes in a test pair were seen individually during training, but their combination was not. In this setting, standard
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