Integrating BERT pre-training with graph common neighbours for predicting ceRNA interactions
IntroductionPredicting interactions between microRNAs (miRNAs) and competing endogenous RNAs (ceRNAs), including long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), is essential for understanding gene regulation. With the development of Graph Neural Networks (GNNs), existing works have demo...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Frontiers Media S.A.
2025-09-01
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| Schriftenreihe: | Frontiers in Genetics |
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| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1606016/full |
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