The REMBRANDT study – a large collection of genomic data from brain cancer patients [gene expression]
The Rembrandt brain cancer dataset and includes clinical and biospecimen data from this study for 671 patients collected from 14 contributing institutions in 2005. Such combined datasets would provide researchers with a unique opportunity to conduct integrative analysis of gene expression and copy number changes alongside clinical outcomes (overall survival) in this large brain cancer study. In 2015, the NCI retired the REMBRANDT data portal, and all molecular data including microarray gene expr...
Provenance — who produced it, who reused it
Linked to 42 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.
- Single-cell analyses reveal YAP/TAZ as regulators of stemness an... 2020 · 154 cites
- Identification of the Role and Clinical Prognostic Value of Targ... 2021 · 79 cites
- Lactate modulates microglia polarization via IGFBP6 expression a... 2022 · 73 cites
38 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.