Predicting noncoding RNA and disease associations using multigraph contrastive learning.

Abstract excerpt

MiRNAs and lncRNAs are two essential noncoding RNAs. Predicting associations between noncoding RNAs and diseases can significantly improve the accuracy of early diagnosis.With the continuous breakthroughs in artificial intelligence, researchers increasingly use deep learning methods to predict associations. Nevertheless, most existing methods face two major issues: low prediction accuracy and the limitation of...

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• Algorithms
• Computational Biology
• Deep Learning
• Genetic Predisposition to Disease
• MicroRNAs