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Keywords: gene expression analysis via microarray
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Data from: Data reuse and the open data citation advantage
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
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.
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
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.
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
