Integrated analysis of transcriptome and proteome.
收藏NIAID Data Ecosystem2026-03-12 收录
数据链接:
官方服务:
资源简介:
(XLSX)
应用场景:
创建时间:
2020-10-16
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 7 of Integrated proteomic and transcriptomic profiling identifies aberrant gene and protein expression in the sarcomere, mitochondrial complex I, and the extracellular matrix in Warmblood horses with myofibrillar myopathy
Additional file 7. Co-innertia analysis and enriched pathway data file [105–107, 109, 114, 115].
Figshare2021-06-11 更新10
DataSheet1_RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases.DOCX
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
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
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



