HMVPS-DRP: Hybrid multi-view representation learning and pathway-state-aware graph learning for interpretable cancer drug response prediction with multi-omics data.
- DOI
- 10.1016/j.compbiolchem.2026.109528
- Published
- 2026 Nov 4
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109528,
title = {HMVPS-DRP: Hybrid multi-view representation learning and pathway-state-aware graph learning for interpretable cancer drug response prediction with multi-omics data.},
author = {Wang W and Wang D and Li B and Zhou Y},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109528},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109528}
}RIS
TY - JOUR TI - HMVPS-DRP: Hybrid multi-view representation learning and pathway-state-aware graph learning for interpretable cancer drug response prediction with multi-omics data. AU - Wang W AU - Wang D AU - Li B AU - Zhou Y PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109528 UR - https://doi.org/10.1016/j.compbiolchem.2026.109528 ER -
APA
W, W., D, W., B, L., & Y, Z. (2026). HMVPS-DRP: Hybrid multi-view representation learning and pathway-state-aware graph learning for interpretable cancer drug response prediction with multi-omics data.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109528
Source records
- pubmed · retrieved 2026-11-10T11:55:06.219Z