Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE15190

GEO first seen 2018

Repertoire of miRNAs in epithelial ovarian cancer determined by next generation sequencing of small RNA cDNA libraries

Organism
Homo sapiens
Samples
4
Type
Non-coding RNA profiling by...
Submitted
2009-03-11

Background: MicroRNAs (miRNAs) are small regulatory RNAs that are implicated in cancer pathogenesis and have recently shown promise as blood-based biomarkers for cancer detection. Epithelial ovarian cancer is a deadly disease for which improved outcomes could be achieved by successful early detection and enhanced understanding of molecular pathogenesis that leads to improved therapies. A critical step toward these goals is to establish a comprehensive view of miRNAs expressed in epithelial ovari...

Provenance — who produced it, who reused it

Linked to 1 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.

Deposited / produced by
Stacia K WymanMuneesh TewariRachael K ParkinPatrick S MitchellBrian R FritzKathy O'BriantAndrew K GodwinNicole UrbanCharles W DrescherBeatrice S Knudsen
Reused by

Deep data QC

metadata only · no data-level QC for this type

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Files available
FA
Metrics (value · how obtained)
supplementary file types FA reported
QC cost 11 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently