Article

TwinCell: Large Causal Cell Model for Reliable and Interpretable Therapeutic Target Prioritisation

2026-02-02

Abstract excerpt

Drug discovery is impeded by the difficulty of translating targets from preclinical models to patients. In this work, we present TwinCell, a Large Causal Cell Model for target identification that, trained on in vitro cancer cell line perturbation data, generalises to patient-derived cell types while providing biologically meaningful interpretations of its predictions. Rather than predicting perturbation outcomes,...

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Literature Corpus work: 38e17b95-a434-5871-ac3e-a1eb30d3d1e2
DOI: 10.64898/2026.01.29.702072

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