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Single Cell and Spatial Analysis of Human Squamous Cell Carcinoma
This SuperSeries is composed of the SubSeries listed below.
Provenance — who produced it, who reused it
Linked to 19 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.
Deposited / produced by
Reused by
- Spatial deconvolution of HER2-positive breast cancer delineates... 2021 · 403 cites
- Knowledge-graph-based cell-cell communication inference for spat... 2022 · 212 cites
- Evaluation of cell-cell interaction methods by integrating singl... 2022 · 157 cites
- STRIDE: accurately decomposing and integrating spatial transcrip... 2022 · 121 cites
- Deciphering tumor ecosystems at super resolution from spatial tr... 2023 · 94 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
Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Files available
JPG, TSV
Metrics (value · how obtained)
supplementary file types
JPG, TSV
reported
QC cost
16 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently