Article

Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling

2025-07-31

Abstract excerpt

<h4>Motivation</h4> Complex gene regulatory networks (GRNs) underlie most disease processes, and understanding disease-specific network structures and dynamics is crucial for developing effective treatments. Yet, literature-based analyses of GRNs often treat gene regulations as context-independent interactions, overlooking how their biological relevance can differ depending on the disease type, cell lineage, or e...

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Literature Corpus work: 15e231e2-1bf1-5229-8e32-4000a2a4e968
DOI: 10.1101/2025.07.26.666734

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