Gene-level analysis of 1231 samples originating from 134 Caucasian individuals
This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the h...
Provenance — who produced it, who reused it
Linked to 8 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.
- A novel multi-tissue RNA diagnostic of healthy ageing relates to... 2015 · 248 cites
- Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with... 2017 · 160 cites
- Prediction of Alzheimer’s disease using blood gene expression da... 2020 · 148 cites
- Alzheimer’s disease master regulators analysis: search for poten... 2018 · 95 cites
- Rare and common epilepsies converge on a shared gene regulatory... 2016 · 87 cites
3 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.
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.