Expression data from gastric cancer and paried normal tissues
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.
Provenance — who produced it, who reused it
Linked to 80 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Identification of Potential Key Genes Associated With the Pathog... 2018 · 188 cites
- LncRNA MAGI2-AS3 Is Regulated by BRD4 and Promotes Gastric Cance... 2019 · 142 cites
- Identification of hub genes and potential molecular mechanisms i... 2018 · 135 cites
- BET protein inhibitor JQ1 downregulates chromatin accessibility... 2020 · 103 cites
- Expression Status And Prognostic Value Of M6A-associated Genes i... 2020 · 97 cites
- Downregulation of ALDOB is associated with poor prognosis of pat... 2016 · 93 cites
- IRF6 Is Directly Regulated by ZEB1 and ELF3, and Predicts a Favo... 2019 · 72 cites
73 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently