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Network-guided supervised learning on gene expression using a graph convolutional neural network

2021-12-28

Abstract excerpt

<h4>Background</h4> Transcriptomic profiles have become crucial information in understanding diseases and improving treatments. While dysregulated gene sets are identified via pathway analysis, various machine learning models have been proposed for predicting phenotypes such as disease type and drug response based on gene expression patterns. However, these models still lack interpretability, as well as the abili...

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Literature Corpus work
05570de0-9945-5064-bc7e-24efd6a6b457
DOI
10.1101/2021.12.27.474240
Open publication

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Network-guided supervised learning on gene expression using a graph convolutional neural networkDOI 10.1101/2021.12.27.474240
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