MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia

MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia

The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. In this study, we constructed three types of brain gra...

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Bibliographic Details
Main Authors: Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Brain Research Bulletin
Subjects:
Schizophrenia
Multi-omics
Brain network
Gut network
Classification
Graph convolutional network
Online Access:http://www.sciencedirect.com/science/article/pii/S0361923025000115
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http://www.sciencedirect.com/science/article/pii/S0361923025000115

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