Article

Phenotypic reversion and target prioritization for cellular inflammation via representation learning with foundation models

2026-03-06

Abstract excerpt

The identification of genetic perturbations that can reverse disease-associated cellular phenotypes toward a healthy state is a central challenge in early drug discovery. We present a proof-of-concept framework leveraging single-cell foundation models (scFMs) and a large-scale Perturb-seq dataset to prioritize targets for phenotypic reversion of cellular inflammation. We incorporated both basal and proinflammatory...

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Literature Corpus work: cb6016ed-6317-5f56-b91c-2b2f8382688d
DOI: 10.64898/2026.03.04.709607

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