MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

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.

Bibliographic Details
Main Authors: Tongxin Wang, Wei Shao, Zhi Huang, Haixu Tang, Jie Zhang, Zhengming Ding, Kun Huang
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23774-w

Internet

https://doi.org/10.1038/s41467-021-23774-w

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