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Predicting Disease-gene Associations through Self-supervised Mutual Infomax Graph Convolution Network

2023-07-15

Abstract excerpt

Illuminating associations between diseases and genes can help reveal the pathogenesis of syndromes and contributes to treatments, but a large number of associations still remained unexplored. To identify novel disease-gene association, many computational methods have been developed using disease and gene related prior knowledge. However, these methods remain of relatively inferior performance due to the limited ex...

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Literature Corpus work
c98f3824-42c2-5c14-bb21-bce0e1da836d
DOI
10.1101/2023.07.13.548865
Open publication

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Predicting Disease-gene Associations through Self-supervised Mutual Infomax Graph Convolution NetworkDOI 10.1101/2023.07.13.548865
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