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PGCN: Disease gene prioritization by disease and gene embedding through graph convolutional neural networks

2019-01-28

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Motivation</h4> Proper prioritization of candidate genes is essential to the genome-based diagnostics of a range of genetic diseases. However, it is a highly challenging task involving limited and noisy knowledge of genes, diseases and their associations. While a number of computational methods have been developed for the disease gene prioritization task, their performance is largely limite...

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Literature Corpus work
094a8d7c-481c-50bc-a95e-33d7db22a81b
DOI
10.1101/532226
Open publication

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PGCN: Disease gene prioritization by disease and gene embedding through graph convolutional neural networksDOI 10.1101/532226
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