Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs.

Abstract excerpt

BACKGROUND: The association between MicroRNAs (miRNAs) and diseases is crucial in treating and exploring many diseases or cancers. Although wet-lab methods for predicting miRNA-disease associations (MDAs) are effective, they are often expensive and time-consuming. Significant advancements have been made using Graph Neural Network-based methods (GNN-MDAs) to address these challenges. However, these methods still...

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