Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction.
- DOI
- 10.1007/s11030-026-11648-6
- Published
- 2026 Dec
- Container
- Molecular diversity
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s11030-026-11648-6,
title = {Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction.},
author = {Zhou K and Guo J and Cao Y and Xu Z and Guo Y},
year = {2026},
journal = {Molecular diversity},
doi = {10.1007/s11030-026-11648-6},
url = {https://doi.org/10.1007/s11030-026-11648-6}
}RIS
TY - JOUR TI - Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction. AU - Zhou K AU - Guo J AU - Cao Y AU - Xu Z AU - Guo Y PY - 2026 JO - Molecular diversity DO - 10.1007/s11030-026-11648-6 UR - https://doi.org/10.1007/s11030-026-11648-6 ER -
APA
K, Z., J, G., Y, C., Z, X., & Y, G. (2026). Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction.. Molecular diversity. https://doi.org/10.1007/s11030-026-11648-6
Source records
- pubmed · retrieved 2026-11-10T12:23:31.186Z
- europe-pmc · retrieved 2026-11-10T12:23:31.194Z