Provenance — who produced it, who reused it
Linked to 727 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.
80 further papers cite this accession but reuse could not be confirmed.
Deep data QC
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.
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.
- CoINcIDE: A framework for discovery of patient subtypes acro... L1 87/100
- A curated collection of transcriptome datasets to investigat... L1 62/100
- PulmonDB: a curated lung disease gene expression database.⚑ L1 53/100 ⚑
- Meta-analysis of gene expression profiles of lean and obese... L1 78/100
- Curation of over 10 000 transcriptomic studies to enable dat... L1 80/100
- Predicting Bone Metastasis Using Gene Expression-Based Machi... L1 62/100
- Screening of Diagnostic Biomarkers and Immune Infiltration C...⚑ L1 48/100 ⚑
- IRSN-23 gene diagnosis enhances breast cancer subtype classi... L1 71/100