Pathways of ovarian cancer development
In order to evaluate pathways that drive the development of ovarian cancer, we compared Affymetrix expression profiles from normal ovarian surface epithelium to those from primary ovarian carcinomas.
Provenance — who produced it, who reused it
Linked to 28 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.
- The m6A reader YTHDF1 promotes ovarian cancer progression via au... 2020 · 807 cites
- Identification of differentially expressed genes and signaling p... 2018 · 86 cites
26 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.