Single cell RNA-seq analysis of oligodendroglioma
To understand the diversity of expression states within oligodendroglioma tumors, we obtained six freshly resected samples, profiled ~1000 cells from each tumor and examined their diversity.
Provenance — who produced it, who reused it
Linked to 20 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.
- Machine Learning Identifies Stemness Features Associated with On... 2018 · 2,344 cites
- Interpretable dimensionality reduction of single cell transcript... 2018 · 382 cites
- Single-Cell Transcriptomics Uncovers Glial Progenitor Diversity... 2019 · 219 cites
- The Stress-Like Cancer Cell State Is a Consistent Component of T... 2020 · 114 cites
- A novel approach to remove the batch effect of single-cell data 2019 · 81 cites
- Rapid Generation of Somatic Mouse Mosaics with Locus-Specific, S... 2019 · 73 cites
13 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.