Deep learning-based multiomics integration identifies AI-defined tissue regions associated with cancer-associated fibroblast enrichment and chemoresistance in muscle-invasive bladder cancer.
- DOI
- 10.1007/s10142-026-02086-6
- Published
- 2026 Oct 29
- Container
- Functional & integrative genomics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10142-026-02086-6,
title = {Deep learning-based multiomics integration identifies AI-defined tissue regions associated with cancer-associated fibroblast enrichment and chemoresistance in muscle-invasive bladder cancer.},
author = {Hu C and Wang F and Zhang Q and Xu H and Huang J and Xiong X and Huang Y and Lou W and He Y and Deng L and Lu X},
year = {2026},
journal = {Functional \& integrative genomics},
doi = {10.1007/s10142-026-02086-6},
url = {https://doi.org/10.1007/s10142-026-02086-6}
}RIS
TY - JOUR TI - Deep learning-based multiomics integration identifies AI-defined tissue regions associated with cancer-associated fibroblast enrichment and chemoresistance in muscle-invasive bladder cancer. AU - Hu C AU - Wang F AU - Zhang Q AU - Xu H AU - Huang J AU - Xiong X AU - Huang Y AU - Lou W AU - He Y AU - Deng L AU - Lu X PY - 2026 JO - Functional & integrative genomics DO - 10.1007/s10142-026-02086-6 UR - https://doi.org/10.1007/s10142-026-02086-6 ER -
APA
C, H., F, W., Q, Z., H, X., J, H., X, X., Y, H., W, L., Y, H., L, D., & X, L. (2026). Deep learning-based multiomics integration identifies AI-defined tissue regions associated with cancer-associated fibroblast enrichment and chemoresistance in muscle-invasive bladder cancer.. Functional & integrative genomics. https://doi.org/10.1007/s10142-026-02086-6
Source records
- pubmed · retrieved 2026-11-10T12:13:13.808Z