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: Shanchen Pang, Yu Zhuang, Xinzeng Wang, Fuyu Wang, Sibo Qiao
Formato: article
Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/7478900349554ad7bdfbdd107802fd92
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