首页|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)
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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.”
HeilongjiangPeople’s Republic of ChinaAsiaCerebrovascular Diseases and ConditionsCyborgsDrugs and TherapiesE merging TechnologiesGeneticsHealth and MedicineMachine LearningPharmaceu ticalsStroke
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