MiRNA-Disease Association Prediction via Cosine Annealing and Multi-Head Self-Attention in HyperGCN.

Abstract excerpt

Biological studies have demonstrated that understanding the association between miRNAs and disease is critical for disease prevention, assessment, and therapy. However, traditional experimental methods for inferring these connections are not only costly but also inefficient. Hence, there is a pressing need to develop novel methods to improve the accuracy and efficiency of forecasting. Currently, graph...

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