Article

Global cell-state and gene-program representations reveal conserved and context-specific perturbation responses of cells

2026-05-18

Abstract excerpt

Understanding how cell states change in response to genetic perturbations is critical for gene-function and therapeutics discovery. However, state-of-the-art deep-learning models trained on large single-cell omics datasets still struggle to accurately predict cellular responses to perturbations, highlighting the need for a better understanding of the cell-state space and how cells move through this space. Here, we...

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Literature Corpus work: eb45f2ff-d873-5c4f-af9a-d6e122d3104d
DOI: 10.64898/2026.05.16.725005

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