Prediction of molecular subtypes for endometrial cancer based on hierarchical foundation model
The codes and data used for generating results in this study are available at https://github.com/HaoyuCui/hi-UNI for GitHub and https://doi.org/10.5281/zenodo.14627478 for Zenodo.
Authors
- Xiangxue Wang
- Wenlong Ming (ORCID: https://orcid.org/0000-0002-5553-905X)
- Jun Xu (ORCID: https://orcid.org/0000-0001-7170-111X)
- Hao Wen
- Chengfei Cai (ORCID: https://orcid.org/0000-0002-9582-0348)
- Qinhao Guo (ORCID: https://orcid.org/0000-0003-4661-481X)
- Yiping Jiao (ORCID: https://orcid.org/0000-0002-0787-3424)
- Xiaohua Wu (ORCID: https://orcid.org/0000-0002-2271-2514)
- Haoyu Cui (ORCID: https://orcid.org/0009-0006-5745-0792)
Institutions
- Nanjing University of Information Science and Technology (CN)
- Fudan University Shanghai Cancer Center (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf059
- Citations
- 6
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 12.34
Funders
- National Natural Science Foundation of China