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Integrating WGCNA and SVM-RFE identifies hub molecular biomarkers driving ischemic stroke progression

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成果类型:
期刊论文
作者:
Zhang, You;Huang, Lin-Xing;Yue, Zeng-Hui
通讯作者:
Yue, ZH
作者机构:
[Zhang, You; Huang, Lin-Xing; Yue, Zeng-Hui] Hunan Univ Chinese Med, Coll Acupuncture Massage & Rehabil, Changsha, Peoples R China.
[Yue, ZH] Hunan Univ Chinese Med, 300 Bachelor Rd,Hanpu Sci & Educ Pk, Changsha 410208, Peoples R China.
通讯机构:
[Yue, ZH ] H
Hunan Univ Chinese Med, 300 Bachelor Rd,Hanpu Sci & Educ Pk, Changsha 410208, Peoples R China.
语种:
英文
关键词:
Stroke;WGCNA;machine learning;SVM-RFE;biomarkers
期刊:
Neurological Research
ISSN:
0161-6412
年:
2025
页码:
1-11
基金类别:
Natural Science Foundation of Hunan Province, China [2023JJ30462]; Hunan Provincial Department of Science and Technology [2023SK2045]; Graduate Research and Innovation Projects of Hunan Province [2024CX031]
机构署名:
本校为第一且通讯机构
院系归属:
针灸推拿与康复学院
摘要:
BACKGROUND: Stroke is the second most common cause of death worldwide and the leading cause of long-term severe disability with neurological impairment worsening within hours after stroke onset and being especially involved with motor function. So far, there are no established and reliable biomarkers to prognose stroke. Early detection of biomarkers that can prognose stroke is of great importance for clinical intervention and prevention of clinical deterioration of stroke. METHODS: TGSE119121 dataset was retrieved from the Gene Expression Integrated Database (Gene Expression Omnibus, GEO)and w...

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