相关数据集
Identification of two early blood biomarkers ACHE and CLEC12A for improved risk stratification of critically ill COVID-19 patients
In order to identify biomarkers for earlier prediction of COVID-19 outcome, we collected blood samples from patients with fatal outcomes (non-survivors) and with positive clinical outcomes (survivors)
NIAID Data Ecosystem40
Additional file 6 of Exploring the methylation status of CFTR and PKIA genes as potential biomarkers for lung adenocarcinoma
Supplementary Material 6
NIAID Data Ecosystem10
Identification of muscle biomarkers in McArdle disease
Glycogen storage disease type V (GSDV, McArdle disease) is a rare genetic myopathy caused by deficiency of the muscle isoform of glycogen phosphorylase (PYGM). This results in a block in the use of mu
NIAID Data Ecosystem10
Additional file 3 of Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma
Additional file 3: Table S1. Survival data and results for survival analysis of all feature genes.
Figshare2024-02-14 更新30
Potential biomarker masses for the 4 Culex species included in database 2.
Potential biomarker masses for the 4 Culex species included in database 2.
NIAID Data Ecosystem10
