Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas
By combining multiple ML algorithms, we developed a novel prognostic model with excellent performance in PAAD cohorts. ML also proved to be powerful for identifying biomarkers and potential targets for improved PAAD patient stratification and immunotherapy.
Authors
- Gu Tang
- Mengmeng Sang (ORCID: https://orcid.org/0000-0001-5249-002X)
- Dongyan Zhu
- Jia Ge (ORCID: https://orcid.org/0000-0002-5986-3076)
- Xiaorong Zhou (ORCID: https://orcid.org/0000-0001-9943-3997)
- Xiaoling Ding
- Juan Ge
- Dejun Xiong
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Second Affiliated Hospital of Nantong University
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1186/s12967-024-05590-0
- Citations
- 17
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 4.80
Funders
- National Natural Science Foundation of China
- Science and Technology Project of Nantong City