Gene expression data from different types of renal tumors and normal kidneys
Identification and evaluation of specific molecular markers is of great importance for reliable diagnostics and outcome prediction of renal neoplasms Using the Affymetrix microarray, we established the gene expression signatures of normal kidneys and different types of renal tumors.
Provenance — who produced it, who reused it
Linked to 20 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.
- Spectrum of diverse genomic alterations define non–clear cell re... 2014 · 359 cites
- The effect of carbonic anhydrase IX on focal contacts during cel... 2013 · 96 cites
- Weighted Frequent Gene Co-expression Network Mining to Identify... 2012 · 86 cites
17 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently