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Article

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

31 Dec 2019

Abstract excerpt

MOTIVATION: Predicting the association between microRNAs (miRNAs) and diseases plays an import role in identifying human disease-related miRNAs. As identification of miRNA-disease associations via biological experiments is time-consuming and expensive, computational methods are currently used as effective complements to determine the potential associations between disease and miRNA. RESULTS: We present a novel...

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PMID: 31904845
DOI: 10.1093/bioinformatics/btz965

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