Article

Inferring disease-associated microRNAs using semi-supervised multi-label graph convolutional networks

2019-06-11

Abstract excerpt

MicroRNAs (miRNAs) play crucial roles in many biological processes involved in diseases. The associations between diseases and protein coding genes (PCGs) have been well investigated, and further the miRNAs interact with PCGs to trigger them to be functional. Thus, it is imperative to computationally infer disease-miRNA associations under the context of interaction networks. In this study, we present a computation...

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Literature Corpus work: bef0af7d-ffe4-5fb7-91b9-ec70dfd9d5d7
DOI: 10.1101/666719

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