Machine learning identifies novel coagulation genes as diagnostic and immunological biomarkers in ischemic stroke
Jinzhi Liu,
Zhihua Si,
Ju Liu
et al.
Abstract:Background: Coagulation system is currently known associated with the development of ischemic stroke (IS). Thus, the current study is designed to identify diagnostic value of coagulation genes (CGs) in IS and to explore their role in the immune microenvironment of IS.
Methods: Aberrant expressed CGs in IS were input into unsupervised consensus clustering to classify IS subtypes. Meanwhile, key CGs involved in IS were further selected by weighted gene co-expression network analysis (WGCNA) and machin… Show more
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