EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
Abstract Background A large number of biological studies have shown that miRNAs are inextricably linked to many complex diseases. Studying the miRNA-disease associations could provide us a root cause understanding of the underlying pathogenesis in which promotes the progress of drug development. How...
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Autores principales: | , , , , |
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Formato: | article |
Lenguaje: | EN |
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BMC
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/7478900349554ad7bdfbdd107802fd92 |
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