scCBGM adapts concept bottleneck generative models with skip connections and cross-covariance penalties for single-cell data, enabling interpretable counterfactual editing and showing superior combinatorial generalization on real datasets via a new synthetic benchmark.
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scCBGM: Interpretable Single-Cell Counterfactual Editing
scCBGM adapts concept bottleneck generative models with skip connections and cross-covariance penalties for single-cell data, enabling interpretable counterfactual editing and showing superior combinatorial generalization on real datasets via a new synthetic benchmark.