Crossmark

DualGCN-GE: integration of spatiotemporal representations from whole-blood expression data with dual-view graph convolution network to identify Parkinson’s disease subtypes

Crossref DOI link: https://doi.org/10.1186/s12859-025-06181-6

Published Online: 2025-08-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Wei

Xu, Zeqi

Yu, Ruochen

Jiang, Mingfeng

Dai, Qi
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62302455, 62302455, 62302455, 62172369)

Natural Science Foundation of Zhejiang Province, China (LQ24F030007)
License Information

Text and Data Mining valid from 2025-08-12

Version of Record valid from 2025-08-12
More Information

Article History

Received: 4 October 2024

Accepted: 2 June 2025

First Online: 12 August 2025

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no Conflict of interest.

Document is current

Any future updates will be listed below