Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism

Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism

Abstract LncRNAs are non-coding RNAs with a length of more than 200 nucleotides. More and more evidence shows that lncRNAs are inextricably linked with diseases. To make up for the shortcomings of traditional methods, researchers began to collect relevant biological data in the database and used bio...

Full description

Bibliographic Details
Main Authors: Shengchang Wang, Jiaqing Qiao, Shou Feng
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
LncRNA-disease associations
Similarity
Graph convolutional networks
Residual network
Attention mechanism
Online Access:https://doi.org/10.1038/s41598-024-55957-y

Internet

https://doi.org/10.1038/s41598-024-55957-y

Similar Items