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Predicting Early Transitions in Respiratory Virus Infections via Critical Transient Gene Interactions

2025-04-23

Abstract excerpt

Early detection of respiratory virus infections, such as influenza A (H3N2), is critical for timely intervention and disease management. Conventional biomarkers often overlook the complex and dynamic nature of gene regulatory changes, while existing predictive models frequently lack automation and robust external validation. Thus, we present CRISGI (Critical tran-Sient Gene Interaction), a computational framework...

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Identifiers and source

Literature Corpus work
29fc1707-3600-51d7-83f4-b28db4cbff14
DOI
10.1101/2025.04.18.649619
Open publication

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Predicting Early Transitions in Respiratory Virus Infections via Critical Transient Gene InteractionsDOI 10.1101/2025.04.18.649619
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