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A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases

20 Jun 2025

Abstract excerpt

Human diseases are characterized by intricate cellular dynamics. Single-cell transcriptomics provides critical insights, yet a persistent gap remains in computational tools for detailed disease progression analysis and targeted in silico drug interventions. Here we introduce UNAGI, a deep generative neural network tailored to analyse time-series single-cell transcriptomic data. This tool captures the complex...

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PMID: 40542107
DOI: 10.1038/s41551-025-01423-7

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