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Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies
This SuperSeries is composed of the SubSeries listed below.
Provenance — who produced it, who reused it
Linked to 7 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
- Single-cell transcriptome profiling reveals neutrophil heterogen... 2020 · 884 cites
- DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequen... 2019 · 208 cites
- Cell lineage and communication network inference via optimizatio... 2019 · 166 cites
- Reconstruction of complex single-cell trajectories using CellRou... 2018 · 94 cites
2 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.
QC cost
28 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently