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A gene signature predictive for outcome in advanced ovarian cancer identifies a novel survival factor: MAGP2
This SuperSeries is composed of the SubSeries listed below.
Provenance — who produced it, who reused it
Linked to 10 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.
Reused by
- Open source machine-learning algorithms for the prediction of op... 2017 · 122 cites
- A long noncoding RNA AB073614 promotes tumorigenesis and predict... 2015 · 90 cites
- CBX2 identified as driver of anoikis escape and dissemination in... 2018 · 86 cites
7 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.
QC cost
26 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently