MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
Our understanding of human disease can be improved by integrating the abundance of high throughput biomedical data. Here, the authors use deep learning methods successfully used on images to integrate various types of omics data to improve patient classification and identify disease biomarkers.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-23774-w |