E-GEOD-73911

NIAID Data Ecosystem2026-03-09 收录

基因敲除小鼠肝脏转录组

微阵列基因表达

数据链接：

https://www.omicsdi.org/dataset/atlas-experiments/E-GEOD-73911 数据链接链接失效反馈

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资源简介：

Transcription profiling by array of liver from Rassf1a homozygous knockout mice, heterozygous deletion of Sav1 and codeletion of Rassf1a and Sav1

创建时间：

2016-11-08

Data from: Data reuse and the open data citation advantage

数据重用

微阵列基因表达

Background: Attribution to the original contributor upon reuse of published data is important both as a reward for data creators and to document the provenance of research findings. Previous studies h

DataONE2013-10-01 更新120

Identification of novel biomarkers for thyroid cancer using multi omics data analysis

癌症生物标志物

微阵列基因表达

The biomarkers for thyroid cancer are still not known properly. For treating thyroid cancer these biomarkers can by be targeted specifically. Through this project, we identified and used bioinformatic

NIAID Data Ecosystem30

Comparison of Quantitative Proteomics and Microarray Datasets.

定量蛋白质组学

微阵列基因表达

Comparison of Quantitative Proteomics and Microarray Datasets.

Figshare2015-12-02 更新10

Gene expression analysis of primitive erythroid progenitors from 5-FU-treated WT and ESAM-KO mice.. Mus musculus

红系祖细胞分子机制

微阵列基因表达

To determine the molecular mechanisms involved in the compromised erythropoiesis of ESAM-KO mice, Lin- FCgRII/III-/Lo CD41Lo c-Kit+ Sca1- endoglin+ CD150+ cells, which contain mostly BFU-E and CFU-E,

NIAID Data Ecosystem40

Selected QC metrics for LL, PAX GC, and TEM GC arrays.

微阵列基因表达

质量控制

Scale factor (SF), rawQ, background (BG), percentage present (%P), total signal, actin signal, as well as actin 3′ to 5′ ratio are all listed for LL, PAX GC and TEM GC arrays used for this study. Thre

NIAID Data Ecosystem10

E-GEOD-73911

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