Machine Learning-based Macrophage Signature for Predicting Prognosis and Immunotherapy Benefits in Cholangiocarcinoma
With regard to cholangiocarcinoma, the current study created a machine learning-based MRS that served as an indication for forecasting the prognosis and therapeutic advantages of individual cases.
Authors
- Yinghui Song (ORCID: https://orcid.org/0000-0002-6592-6678)
- Junkai Huang (ORCID: https://orcid.org/0000-0003-0026-9934)
- Sulai Liu (ORCID: https://orcid.org/0000-0002-5257-3922)
- Yu Chen (ORCID: https://orcid.org/0000-0003-4015-5181)
- Kang Chen (ORCID: https://orcid.org/0000-0003-0745-7946)
- Xu Chen (ORCID: https://orcid.org/0000-0002-6463-9933)
- Chuang Peng (ORCID: https://orcid.org/0000-0002-6722-6683)
- Zhiguo Tan
Institutions
- Hunan Normal University (CN)
- Hunan Provincial People's Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Current Medicinal Chemistry
- Published
- 2024-10-25
- DOI
- https://doi.org/10.2174/0109298673342462241010072026
- Citations
- 2
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.15