The data showed ( Table 2 ) a clear trend, where proteins with higher centrality values tended to have higher predicted scores, suggesting that the neural network effectively captured the complex interactions within the protein network, highlighting the utility of neural network-guided central hubs analysis for predicting protein centrality scores and understanding the topological importance of proteins within biological networks.
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SIRT7 as a context-dependent biomarker and therapeutic target: Insights from a pan-cancer study.
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