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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Detalles Bibliográficos
Autores principales:	Zhengxing Xie, Tianping Ying, Ge Jing, Shiyang Liang, Junhua Liu, Lianghua Tang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2025-09-01
Colección:	Frontiers in Genetics
Materias:	lncRNA circRNA miRNA ceRNA pre-train graph neural network
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fgene.2025.1606016/full
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Integrating BERT pre-training with graph common neighbours for predicting ceRNA interactions

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