Single cell RNA-seq analysis of head and neck cancer
To understand the diversity of expression states within head and neck cancers, we profiled 5902 single cells from 18 patients with oral cavity tumors by single cell RNA-seq
Provenance — who produced it, who reused it
Linked to 80 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.
- SingleCellSignalR: inference of intercellular networks from sing... 2020 · 440 cites
- Cancer-associated fibroblast classification in single-cell and s... 2023 · 364 cites
- Joint analysis of heterogeneous single-cell RNA-seq dataset coll... 2019 · 343 cites
- Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That... 2020 · 331 cites
- A graph neural network model to estimate cell-wise metabolic flu... 2021 · 233 cites
- A pooled single-cell genetic screen identifies regulatory checkp... 2019 · 198 cites
- Reconstruction of cell spatial organization from single-cell RNA... 2020 · 158 cites
- Complete deconvolution of cellular mixtures based on linearity o... 2019 · 133 cites
- A gene regulatory network to control EMT programs in development... 2019 · 131 cites
- Potential roles of Cornichon Family AMPA Receptor Auxiliary Prot... 2022 · 98 cites
- Consistent RNA sequencing contamination in GTEx and other data s... 2020 · 85 cites
- Targeting SKA3 suppresses the proliferation and chemoresistance... 2020 · 81 cites
- Clinical powers of Aminoacyl tRNA Synthetase Complex Interacting... 2022 · 77 cites
- Inference and multiscale model of epithelial-to-mesenchymal tran... 2020 · 72 cites
65 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.