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.
Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review,
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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.