Multi-omics and Machine Learning Analysis of Human Plasma to Identify Biomarkers in Patients with Post-COVID Condition
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this data was used to generate the results presented in the articles Sequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID in Cell Reports Medicine and Multi-omics and Machine Learning Analysis of Human Plasma to Identify Biomarkers in Patients with Post-COVID Condition in STAR protocol. (https://doi.org/10.1016/j.xcrm.2023.101254)
These analyses aim to identify correlations between biomarkers and clinical variables, cluster patients based on their multi-omics profile, and find predictive biomarkers in patients infected by SARS-CoV-2, which is applicable to biomarker studies performed in various diseases.
