Robust graph structure learning to improve multi-omics cancer subtype classification
Experimental results show that our model achieves competitive performance across eight cancer datasets spanning four omics modalities, with generally improved classification performance and exploratory survival prediction results.
Authors
- Mengke Guo
- Tetsuya Sakurai
- Xiucai Ye
Institutions
- University of Tsukuba (JP)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1186/s12859-026-06404-4
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00