Profiling of mRNA expression is an important method to identify biomarkers but complicated by limited correlations between mRNA expression and protein abundance. We hypothesised that these correlation

NIAID Data Ecosystem10

Data Sheet 7_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv

肾病分子机制

生物标志物发现

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

DPHL: A pan-human protein mass spectrometry library for robust biomarker discovery using Data-Independent Acquisition and Parallel Reaction Monitoring

蛋白质质谱

生物标志物发现

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

Supplementary Material for: Uncovering of Key Pathways and miRNAs for Intracranial Aneurysm Based on Weighted Gene Co-Expression Network Analysis

颅内动脉瘤

生物标志物发现

Background: Intracranial aneurysm (IA) is a serious cerebrovascular disease. The identification of key regulatory genes can provide research directions for early diagnosis and treatment of IA. Methods

NIAID Data Ecosystem10

MOESM1 of Random forest-based modelling to detect biomarkers for prostate cancer progression

资源简介：

相关数据集