Heilongjiang University of Chinese Medicine Reports Findings inStroke (Integrat ing machine learning and single-cell transcriptomic analysis to identify potenti al biomarkers and analyze immune features of ischemic stroke)
Heilongjiang University of Chinese Medicine Reports Findings inStroke (Integrat ing machine learning and single-cell transcriptomic analysis to identify potenti al biomarkers and analyze immune features of ischemic stroke)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cerebrovascular Diseas es and Conditions - Stroke is the subjectof a report. According to news reporti ng originating in Heilongjiang, People’s Republic of China, byNewsRx journalist s, research stated, “This study employs machine learning and single-cell transcr iptomesequencing (scRNA-seq) analysis to unearth novel biomarkers and delineate the immune characteristics ofischemic stroke (IS), thereby contributing fresh insights into IS treatment strategies.Our research leveragesgene expression dat a sourced from the GEO database. We undertake weighted gene co-expression network analysis (WGCNA) to filter pertinent genes and subsequently employ machine lea rning algorithms forthe identification of feature genes.”
Key words
Heilongjiang/People’s Republic of China/Asia/Cerebrovascular Diseases and Conditions/Cyborgs/Drugs and Therapies/E merging Technologies/Genetics/Health and Medicine/Machine Learning/Pharmaceu ticals/Stroke
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