官方服务：
资源简介：
Metadata for joining raw from Human miRNA Microarray Kit (V3), 8x15K (Agilent) with clinical cases
应用场景：
创建时间：
2019-03-06
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
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
Data Sheet 1_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.docx
BackgroundDiabetes-induced immune impairment and insulin resistance increase infection risk, which may progress to sepsis that further deteriorates diabetic status. Stem cell-based interventions show
NIAID Data Ecosystem00
DPHL: A pan-human protein mass spectrometry library for robust biomarker discovery using Data-Independent Acquisition and Parallel Reaction Monitoring
We have included human samples including bladder tissue, Cervical tissue, Colorectal tissue, diffuse large B-cell lymphoma, Gastric tissue, glioblastoma multiforme, K562 cell, thyroid tissue, Plasma,
国家人口健康科学数据中心10
Data Sheet 7_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv
BackgroundDiabetic nephropathy (DN) is a common complication of diabetes, characterized by damage to renal tubules and glomeruli, leading to progressive renal dysfunction. The aim of our study is to e
NIAID Data Ecosystem00
