Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters
This research established a link between WT and Cuproptosis. It developed a predictive model for assessing the risk of WT and pinpointed five key genes associated with the disease.
Authors
- Peng Chen (ORCID: https://orcid.org/0009-0006-5418-3916)
- Qiong-Qian Xu (ORCID: https://orcid.org/0000-0003-0924-2658)
- Jing-Ru Huang (ORCID: https://orcid.org/0009-0009-1824-121X)
- Yong Li (ORCID: https://orcid.org/0000-0003-0873-0107)
- X. Pan (ORCID: https://orcid.org/0009-0004-9149-1542)
- Jiabo Chen (ORCID: https://orcid.org/0000-0003-1757-3481)
- J. Wei (ORCID: https://orcid.org/0009-0003-2533-0524)
- Yin Zheng (ORCID: https://orcid.org/0009-0000-0404-3866)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1186/s12911-024-02716-8
- Citations
- 2
- Primary Topic
- Renal and related cancers
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- Natural Science Foundation of Guangxi Province
- Division of Graduate Education