iDRKAN: Interpretable miRNA-Disease Association Prediction Based on Dual-Graph Representation Learning and Kolmogorov-Arnold Network.

Abstract excerpt

Accurately identifying miRNA-disease association (MDA) is of great importance in biomedical research and clinical applications. However, most existing computational methods rely on similarity, making it difficult to effectively capture the deep semantic information among heterogeneous nodes in complex networks. In addition, the inherent "closed box" nature of traditional deep learning models leads to a lack of...

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• Algorithms
• Computational Biology
• Deep Learning
• SLA gene
• Genetic Predisposition to Disease