Transcriptome analysis on gastric cancer
Reliable identification of cancer markers can have substantial implications to early detection of cancer. We report here an integrated computational and experimental study on identification of gastric cancer markers in patients’ tissue and sera based on (i) genome-scale transcriptomic analyses on 80 paired gastric cancer/reference tissues, with the aim of identifying abnormally expressed genes at various subtypes/stages of gastric carcinoma (ii) a computational identification of differentially e...
Provenance — who produced it, who reused it
Linked to 68 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.
- Circular RNA hsa_circ_0004872 inhibits gastric cancer progressio... 2020 · 240 cites
- Analysis of long non-coding RNA expression profiles in gastric c... 2013 · 190 cites
- Identification of Potential Key Genes Associated With the Pathog... 2018 · 188 cites
- HnRNPR-CCNB1/CENPF axis contributes to gastric cancer proliferat... 2019 · 124 cites
- DLAT subunit of the pyruvate dehydrogenase complex is upregulate... 2015 · 106 cites
- Large-Scale Characterization of DNA Methylation Changes in Human... 2014 · 92 cites
- Prognostic Prediction Using a Stemness Index-Related Signature i... 2020 · 87 cites
- Comprehensive characterization of the genomic alterations in hum... 2014 · 79 cites
60 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