EssentialGIN applies a modified graph isomorphism network to PPI networks with integrated biological node attributes to predict essential genes, outperforming centrality measures, Node2Vec, MLP, and GAT especially in human data.
Accurate prediction of human essential genes using only nucleotide composition and association information,
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2026 1verdicts
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EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks
EssentialGIN applies a modified graph isomorphism network to PPI networks with integrated biological node attributes to predict essential genes, outperforming centrality measures, Node2Vec, MLP, and GAT especially in human data.