GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer.
- DOI
- 10.1016/j.jbi.2026.105099
- Published
- 2026 Oct
- Container
- Journal of biomedical informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jbi.2026.105099,
title = {GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer.},
author = {Li L and Yang Q and Li L and Zhao H and Xu J and Xie M and Yin R},
year = {2026},
journal = {Journal of biomedical informatics},
doi = {10.1016/j.jbi.2026.105099},
url = {https://doi.org/10.1016/j.jbi.2026.105099}
}RIS
TY - JOUR TI - GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer. AU - Li L AU - Yang Q AU - Li L AU - Zhao H AU - Xu J AU - Xie M AU - Yin R PY - 2026 JO - Journal of biomedical informatics DO - 10.1016/j.jbi.2026.105099 UR - https://doi.org/10.1016/j.jbi.2026.105099 ER -
APA
L, L., Q, Y., L, L., H, Z., J, X., M, X., & R, Y. (2026). GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer.. Journal of biomedical informatics. https://doi.org/10.1016/j.jbi.2026.105099
Source records
- pubmed · retrieved 2026-09-25T17:23:37.965Z