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

Several genes, such as DEGS, HSDL2, ST8SIA4 and STK3, were identified and associated with the progression of the disease. Moreover, it was hypothesized that these genes may be involved in the progression stroke by regulating the P53 signal, the PI3K signal, and the inflammatory response pathway, respectively. These genes have potential prognostic value and may serve as biomarkers for predicting stroke progression.

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Publication Details

Journal
Neurological Research
Published
2025-04-22
DOI
https://doi.org/10.1080/01616412.2025.2495933
Citations
3
Primary Topic
S100 Proteins and Annexins
Type
article
Field-Weighted Citation Impact
2.42

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article

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

Zenghui Yue, You Zhang, Linxing Huang
3 citations
Neurological Research
S100 Proteins and Annexins
2.42
article

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

Zenghui Yue, You Zhang, Linxing Huang
article en
3 citations

Abstract

Several genes, such as DEGS, HSDL2, ST8SIA4 and STK3, were identified and associated with the progression of the disease. Moreover, it was hypothesized that these genes may be involved in the progression stroke by regulating the P53 signal, the PI3K signal, and the inflammatory response pathway, respectively. These genes have potential prognostic value and may serve as biomarkers for predicting stroke progression.

Neurological ResearchVol. 47(7)
Hunan University of Traditional Chinese Medicine (CN)
Natural Science Foundation of Hainan Province
Openalex Percentile: Top 12%
S100 Proteins and Annexins
2.42
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