官方服务：
资源简介：
MWAS Results
应用场景：
创建时间：
2024-06-26
相关数据集
Mild Tissue Extraction for Mass Spectrometry-based Proteomic Discovery of Biomarkers
Mild Tissue Extraction for Mass Spectrometry-based Proteomic Discovery of Biomarkers
integrated proteome resources40
Detailed robust and candidate FA shortlists per dataset.
Each annotation is identified by its GO term or EC number, as well as its name. The complementary information given includes: the annotation’s average Gini importance over all RF models (‘Average_impo
Figshare2024-11-18 更新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
IL-17RA blockade by brodalumab hidradenitis suppurativa
The goal of this study is to characterize the molecular response of HS patients to brodalumab therapy in skin and serum, and to identify biomarkers of treatment response. Ten participants that receive
NIAID Data Ecosystem30
Table 2_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx
BackgroundClear cell renal cell carcinoma (ccRCC) exhibits marked heterogeneity and variable benefit from immune checkpoint inhibitors (ICIs). Post-translational modifications (PTMs) regulate immune s
NIAID Data Ecosystem00
