Developing a multiomics data-based mathematical model to predict colorectal cancer recurrence and metastasis
The experimental results indicate that our proposed multiomics data-based ensemble learning model effectively predicts the recurrence and metastasis of colorectal cancer.
Authors
- Le Zhang (ORCID: https://orcid.org/0000-0002-3708-1727)
- Rong Zeng (ORCID: https://orcid.org/0000-0001-5241-8765)
- Ming Xiao (ORCID: https://orcid.org/0000-0001-8608-5903)
- Bing Li
Institutions
- Chinese Academy of Sciences (CN)
- Sichuan University (CN)
- ShanghaiTech University (CN)
- Center for Excellence in Molecular Cell Science (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1186/s12911-025-03012-9
- Citations
- 5
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 5.23
Funders
- National Science Foundation
- National Natural Science Foundation of China
- Department of Science and Technology of Sichuan Province
- National Science and Technology Major Project
- National Major Science and Technology Projects of China