GCNSDA: Predicting snoRNA-disease associations via graph convolutional network

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2021)

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摘要
Small nucleolar RNAs(snoRNAs) represent an abundant group of noncoding RNAs in the nucleolus of eukaryotes. Recent studies revealed that snoRNAs play a significant role in a wide range of diseases. Identifying snoRNA-disease associations can provide great insights into understanding the disease and treatment and boosting drug discovery development. Traditional methods of using biological experimen...
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关键词
Knowledge engineering,Drugs,Convolution,RNA,Predictive models,Prediction algorithms,Graph neural networks
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