Predicting CircRNA disease associations using novel node classification and link prediction models on Graph Convolutional Networks

Volume: 198, Pages: 32 - 44
Published: Feb 1, 2022
Abstract
Accumulated studies have discovered that circular RNAs (CircRNAs) are closely related to many complex human diseases. Due to this close relationship, CircRNAs can be used as good biomarkers for disease diagnosis and therapeutic targets for treatments. However, the number of experimentally verified circRNA-disease associations are still fewer and also conducting wet-lab experiments are constrained by the small scale and cost of time and labour....
Paper Details
Title
Predicting CircRNA disease associations using novel node classification and link prediction models on Graph Convolutional Networks
Published Date
Feb 1, 2022
Journal
Volume
198
Pages
32 - 44
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