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Inferring Disease-Associated MicroRNAs Using Semi-supervised Multi-Label Graph Convolutional Networks
MicroRNAs (miRNAs) play crucial roles in biological processes involved in diseases. The associations between diseases and protein-coding genes (PCGs) have been well investigated, and miRNAs interact with PCGs to trigger them to be functional. We present a computational method, DimiG, to infer miRNA-...
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| Pubblicato in: | iScience |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6817654/ https://ncbi.nlm.nih.gov/pubmed/31605942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2019.09.013 |
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