Article
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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Identifiers and source
- Literature Corpus work
- 05570de0-9945-5064-bc7e-24efd6a6b457
- DOI
- 10.1101/2021.12.27.474240
