GSM4455938
GEO sampleProvenance — who produced it, who reused it
Linked to 0 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.
No linked papers found in the corpus yet.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This is a bulk RNA-seq expression-profiling dataset from human tissue, and it earns a clean A: every quality dimension that was actually measured points to a well-prepared, high-fidelity library. The grade is driven chiefly by base-call accuracy — 93.9% of bases at Q30 and a mean base quality of 36 — which means reads can be aligned and variants or expression levels called with high confidence, while a low 0.45% adapter content and a modest 9.91% duplication rate indicate clean trimming and good library complexity rather than over-amplification, so genuine biological signal is not being inflated by PCR artifacts. The full 150 bp read length and balanced 53.3% GC further support reliable mapping for reuse in differential-expression or transcript-quantification work. One caveat: evidence_strength is 1, meaning the core quality metrics here were genuinely measured rather than extrapolated, so this reading is solid — though note that flagging this as scRNA-style outputs (the reported MTX/RDS supplementary files) suggests you should confirm the assay matches your intended bulk-expression use before relying on it.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0
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.