Records 1-4 (of 4 Records) |
Query Trace: EPSTI1[original query] |
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Identification of key molecules in COVID-19 patients significantly correlated with clinical outcomes by analyzing transcriptomic data. Dong Zehua, et al. Frontiers in immunology 2022 0 0. 930866 |
Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods. Li Zhandong, et al. Frontiers in molecular biosciences 2022 0 0. 908080 |
Genome-wide screening of SARS-CoV-2 infection-related genes based on the blood leukocytes sequencing data set of patients with COVID-19. Gao Xin, et al. Journal of medical virology 2021 0 0. |
Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19. Shaath Hibah, et al. Cells 2020 0 0. (11) |
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