Article

Mechanisms Matter: Transportability of Cellular Perturbation Effects

2026-05-12

Abstract excerpt

Predicting cellular responses to genetic or chemical perturbations across biological contexts is central to drug development and disease understanding. Despite increases in data and model scale, deep learning models have not consistently outperformed simple baselines. Leveraging causal transportability theory, we show that cross-context generalization is governed by shared causal mechanisms, not merely distributio...

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Literature Corpus work: cc85151f-c1f1-518b-b840-5832c543e430
DOI: 10.64898/2026.05.08.723625

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