EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks 事件

EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks arXiv:2606.07700v1 Announce Type: cross Abstract: 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 accurate and result in large number of false po