Article

Learning gene interactions from tabular gene expression data using Graph Neural Networks

2026-03-23

Abstract excerpt

Gene interactions form complex networks underlying disease susceptibility and therapeutic response. While bulk transcriptomic datasets offer rich resources for studying these interactions, applying Graph Neural Networks (GNNs) to such data remains limited by a lack of methodological guidance, especially for constructing gene interaction graphs. We present REGEN (REconstruction of GEne Networks), a GNN-based framew...

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Literature Corpus work: 39440b8e-4118-5b1d-954c-3305df4a998e
DOI: 10.64898/2026.03.19.712949

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