Exploring cuproptosis-related molecular clusters and immunological characterization in ischemic stroke through machine learning
This study developed a precise diagnostic model for IS by identifying CURGs and evaluating their interaction with immune cells. Enrichment analyses revealed key pathways involved in IS, and single-cell analysis confirmed CURG overexpression in immune cells. A risk prediction model and core modules associated with IS were also identified.
Authors
- Jiafeng Chen (ORCID: https://orcid.org/0000-0002-1088-5338)
- Xiao‐Ying Huang (ORCID: https://orcid.org/0000-0002-3514-216X)
- Rongxing Qin (ORCID: https://orcid.org/0000-0002-4447-6575)
- Minshan Xie (ORCID: https://orcid.org/0000-0002-6288-1611)
- Li Chen (ORCID: https://orcid.org/0000-0002-9478-6432)
- Yuan‐Han Yang (ORCID: https://orcid.org/0000-0002-1918-9021)
- Lijuan Huang
- Xinyu Lai (ORCID: https://orcid.org/0009-0000-0882-1397)
- Qingchun Qin
- Xiaojun Liang
- Wei Xu
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e36559
- Citations
- 4
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.68