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Links from GEO DataSets

Items: 2

1.

Expression data from gastric cancer and paried normal tissues

(Submitter supplied) Gastric cancer (GC) is one of the most common cancer worldwide. Specific and reliable molecular markers are limited; it is critical to identify new biomarkers for GC to aid in early diagnosis, treatment strategy, and prognosis evaluation. Microarray technology makes it possible to measure the expression levels of thousands of genes, and identifying meaningful and useful molecular targets from these large data.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
20 Samples
Download data: CEL
Series
Accession:
GSE79973
ID:
200079973
2.

Differentially expressed genes in normal gastric mucosa and gastric cancer tissues

(Submitter supplied) To identify the differentially expressed genes in normal gastric mucosa and gastric cancer tissues, we employed the microarray profiling analysis. Genes with greater than 2-fold change and P-value <0.05 were identified as differentially expressed genes. From this dataset, we obtained differentially expressed genes by cluster analysis and enriched GOs was identified by Gene set enrichment analysis (GSEA) analysis, microtubule GO was one of the most enriched GOs, and the gene KIF14 was selected to go on to the next step in the study.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16686
20 Samples
Download data: CEL
Series
Accession:
GSE118897
ID:
200118897

Supplemental Content

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