MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network Embeddings.
- DOI
- 10.1007/s12539-025-00690-x
- Published
- 2025 Jun
- Container
- Interdisciplinary sciences, computational life sciences
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s12539-025-00690-x,
title = {MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network Embeddings.},
author = {Sun G and Zheng M and Fan Y and Pan X},
year = {2025},
journal = {Interdisciplinary sciences, computational life sciences},
doi = {10.1007/s12539-025-00690-x},
url = {https://doi.org/10.1007/s12539-025-00690-x}
}RIS
TY - JOUR TI - MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network Embeddings. AU - Sun G AU - Zheng M AU - Fan Y AU - Pan X PY - 2025 JO - Interdisciplinary sciences, computational life sciences DO - 10.1007/s12539-025-00690-x UR - https://doi.org/10.1007/s12539-025-00690-x ER -
APA
G, S., M, Z., Y, F., & X, P. (2025). MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network Embeddings.. Interdisciplinary sciences, computational life sciences. https://doi.org/10.1007/s12539-025-00690-x
Source records
- pubmed · retrieved 2026-09-25T16:49:49.508Z