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GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder
microRNAs (miRNAs) are small non-coding RNAs related to a number of complicated biological processes. A growing body of studies have suggested that miRNAs are closely associated with many human diseases. It is meaningful to consider disease-related miRNAs as potential biomarkers, which could greatly...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694430/ https://www.ncbi.nlm.nih.gov/pubmed/34890410 http://dx.doi.org/10.1371/journal.pcbi.1009655 |