Predicting noncoding RNA and disease associations using multigraph contrastive learning

Predicting noncoding RNA and disease associations using multigraph contrastive learning

Abstract 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 pred...

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Bibliographic Details
Main Authors: Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
MiRNAs
lncRNAs
Diseases
Heterogeneous graph
Graph contrastive learning
Multi-association prediction
Online Access:https://doi.org/10.1038/s41598-024-81862-5
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https://doi.org/10.1038/s41598-024-81862-5

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