Machine Learning-based Gene Biomarker Identification for Improving Prognosis and Therapy in Hepatocellular Carcinoma
Our study demonstrates a well-rounded approach by integrating gene expression, machine learning, tumor microenvironment analysis, and drug sensitivity profiling. HPRI may serve as a promising predictor for guiding prognosis and personalized treatment in HCC.
Authors
- Na Shen (ORCID: https://orcid.org/0000-0003-4362-9207)
- Xinyu Huang (ORCID: https://orcid.org/0000-0003-3210-3891)
- Peng Wang (ORCID: https://orcid.org/0000-0001-5889-1115)
- Lingyan Deng
- Lei Dou (ORCID: https://orcid.org/0000-0002-3616-8337)
Institutions
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Current Medicinal Chemistry
- Published
- 2025-04-04
- DOI
- https://doi.org/10.2174/0109298673359092250304031435
- Citations
- 2
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 3.04