Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE37745

GEO first seen 2015

Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation

Organism
Homo sapiens
Samples
196
Type
Expression profiling by arra...
Submitted
2012-05-03

Background: Global gene expression profiling has been widely used in lung cancer research to identify clinically relevant molecular subtypes as well as to predict prognosis and therapy response. So far, the value of these multi-gene signatures in clinical practice is unclear and the biological importance of individual genes is difficult to assess as the published signatures virtually do not overlap. Methods: Here we describe a novel single institute cohort, including 196 non-small lung cancer (...

Provenance — who produced it, who reused it

Linked to 160 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
Johan BotlingKarolina EdlundMiriam LohrBirte HellwigLars HolmbergMats LambeAnders BerglundSimon EkmanMichael BergkvistFredrik PonténAndré KönigJörg RahnenführerJan G HengstlerPatrick MickeMaria Planck
Reused by

62 further papers cite this accession but reuse could not be confirmed.

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

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 1 s compute

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