Publications by authors named "Yingfei Zhen"

Article Synopsis
  • The study explores how DNA methylation patterns in COVID-19 patients can differentiate them from healthy individuals and forecast disease severity.
  • Customization of a specialized DNA methylation array allowed researchers to analyze blood samples, revealing thousands of significant methylation sites linked to immune response and viral activity.
  • Machine learning models showed high accuracy in predicting patient outcomes, highlighting the potential of using these epigenetic markers for improved diagnosis and prognosis in COVID-19 cases.
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Article Synopsis
  • The study investigates DNA methylation as a potential biomarker for distinguishing between SARS-CoV-2 infected patients and uninfected controls, with implications for predicting disease severity.
  • Using a customized Illumina methylation array, researchers analyzed blood samples from 164 COVID-19 patients and 296 controls, identifying over 13,000 significant methylation sites linked to immune response pathways.
  • Machine learning models demonstrated high predictive accuracy for determining case status and likelihood of severe outcomes, highlighting the relevance of epigenetic signatures in diagnosing and forecasting COVID-19 progression.
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