AD-GCN: A novel graph convolutional network integrating multi-omics data for enhanced Alzheimer’s disease diagnosis
Saved in:
| Main Authors: | Zilu Li, Qingyun Li, Xiaoqing Li, Wei Luo, Haiyan Guo, Chunyan Zhao, Canzhen Yang, Anke Xie, Kai Hu, Yangfan Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12129192/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
by: Haiyuan Wang, et al.
Published: (2025-02-01) -
CSC-GCN: Contrastive semantic calibration for graph convolution network
by: Xu Yang, et al.
Published: (2023-11-01) -
RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph
by: Weiping Ding, et al.
Published: (2022-01-01) -
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis
by: Belal A. Hamed, et al.
Published: (2025-07-01) -
TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting
by: Xiaxia He, et al.
Published: (2024-11-01)