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- Title
Single‐cell co‐expression analysis using computational machine learning reveals oxidative, immunopathologic, and myocardial responses for multi‐organ failure in COVID‐19.
- Authors
Zhang, Cheng; Wang, Ning; Chen, Guoming; Tang, Guoyi; Tam, Chiwing; Tan, Hor‐Yue; Xu, Xiaoyu; Feng, Yibin
- Abstract
Single-cell co-expression analysis using computational machine learning reveals oxidative, immunopathologic, and myocardial responses for multi-organ failure in COVID-19 FDA-approved 20 medicines are potentially repurposed for COVID-19 management GLO:F2H7/01oct22:ctm21049-fig-0001.jpg PHOTO (COLOR): 1 Co-expression analysis for hub modules and genes for coronavirus disease 2019 (COVID-19). Since more than half of the hospitalized coronavirus disease 2019 (COVID-19) patients died of multi-organ failure, it suggested severe challenges to COVID-19 management in terms of currently limited knowledge.1 Herein, taking advantage of bulk RNA-seq data (GSE162113 and GSE164805) and single-cell RNA-seq data (GSE165080), this study identified potential gene modules representing "Oxidative impairment", "Immunopathological response", and "Myocardial responses" in COVID-19 using R language programming.
- Subjects
B cells; SARS-CoV-2; MULTIPLE organ failure; T cell receptors; COVID-19; MACHINE learning
- Publication
Clinical & Translational Medicine, 2022, Vol 12, Issue 10, p1
- ISSN
2001-1326
- Publication type
Article
- DOI
10.1002/ctm2.1049