Predicting miRNA-disease associations via layer attention graph convolutional network model
Abstract Background MiRNA is a class of non-coding single-stranded RNA molecules with a length of approximately 22 nucleotides encoded by endogenous genes, which can regulate the expression of other genes. Therefore, it is very important to predict the associations between miRNA and disease. Predece...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-03-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-022-01807-8 |