NARVGA: A Hybrid Framework Integrating Matrix Factorisation and Adversarial Graph Learning for circRNA-Disease Association Prediction.
- DOI
- 10.3390/biology15161427
- Published
- 2026 Aug 18
- Container
- Biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/biology15161427,
title = {NARVGA: A Hybrid Framework Integrating Matrix Factorisation and Adversarial Graph Learning for circRNA-Disease Association Prediction.},
author = {Lu MS and Wei MM and Liu CC and Wang L and Ruan CW},
year = {2026},
journal = {Biology},
doi = {10.3390/biology15161427},
url = {https://doi.org/10.3390/biology15161427}
}RIS
TY - JOUR TI - NARVGA: A Hybrid Framework Integrating Matrix Factorisation and Adversarial Graph Learning for circRNA-Disease Association Prediction. AU - Lu MS AU - Wei MM AU - Liu CC AU - Wang L AU - Ruan CW PY - 2026 JO - Biology DO - 10.3390/biology15161427 UR - https://doi.org/10.3390/biology15161427 ER -
APA
MS, L., MM, W., CC, L., L, W., & CW, R. (2026). NARVGA: A Hybrid Framework Integrating Matrix Factorisation and Adversarial Graph Learning for circRNA-Disease Association Prediction.. Biology. https://doi.org/10.3390/biology15161427
Source records
- pubmed · retrieved 2026-09-26T01:02:47.195Z