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EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks
Background: Prediction of essential genes (proteins), is a basic and challenging problem but at the same time very costly and time-consuming in wet-lab experiments. Predicting essential genes, only based on computational methods (to introduce wet-lab candidates) using centrality measures are not acc
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