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miRNAs as covid-19 biomarkers
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创建时间：
2025-03-04
相关数据集
AUC of miRNA panel in the training set and validation set.
A: AUC for the miRNA panel in the training set and B: AUC of the miRNA panel in the validation set.
NIAID Data Ecosystem50
DataSheet_1_Elevated Neopterin Levels Predict Fatal Outcome in SARS-CoV-2-Infected Patients.pdf
HighlightsInnate immune activation during Covid-19 infection is associated with pernicious clinical outcome. BackgroundCoronavirus disease 2019 (Covid-19) is a worldwide threat that has already caused
NIAID Data Ecosystem40
Data from: "IL-6 and cfDNA monitoring throughout COVID-19 hospitalization are accurate markers of its outcomes".
Data supporting the manuscript title: IL-6 and cfDNA monitoring throughout COVID-19 hospitalization are accurate markers of its outcomes
Zenodo2022-09-21 更新20
Alterations in circulating monocytes predict COVID-19 severity and include chromatin modifications still detectable six months after recovery
An early analysis of circulating monocytes may be critical for predicting COVID-19 course and its sequelae. In 131 untreated, acute COVID-19 patients at emergency room (ER) arrival, monocytes showed d
NIAID Data Ecosystem50
Table3_Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8+ T cells.XLSX
The global outbreak of the COVID-19 epidemic has become a major public health problem. COVID-19 virus infection triggers a complex immune response. CD8+ T cells, in particular, play an essential role
NIAID Data Ecosystem20
