Integrative multi-omics approach using random forest and artificial neural network models for early diagnosis and immune infiltration characterization in ischemic stroke
The study uncovers the involvement of specific genes and immune cells in the pathogenesis of IS, suggesting their importance in understanding and potentially targeting the disease.
Authors
- Chanyan Zhu
- Wenlin Yu
- Changkun Guo (ORCID: https://orcid.org/0009-0003-8688-8388)
- Yuqian Xu
- Hanna Jin (ORCID: https://orcid.org/0000-0003-3371-5304)
- Fan Luo (ORCID: https://orcid.org/0000-0003-0046-4852)
- Haixiong Huang
- Ling Lin
- Huahua He
- Ying Wang (ORCID: https://orcid.org/0009-0001-1681-3319)
- Jie Chen (ORCID: https://orcid.org/0000-0003-1945-0047)
- Dongqi Li (ORCID: https://orcid.org/0000-0002-0421-2161)
- Yuanxin Zhang (ORCID: https://orcid.org/0000-0001-6767-1616)
- Fengshan Zeng
- Wei Dong Zhang (ORCID: https://orcid.org/0000-0002-8850-5235)
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Gansu University of Traditional Chinese Medicine (CN)
- Guang’anmen Hospital (CN)
- Shaanxi Provincial Hospital of Traditional Chinese Medicine (CN)
- Huizhou University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-12-04
- DOI
- https://doi.org/10.3389/fneur.2024.1475582
- Citations
- 3
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.16