Drop-Seq analysis of P14 mouse retina single-cell suspension
A cell suspension was prepared from wild-type P14 mouse retinas, and single-cell mRNAseq libraries were generated with Drop-Seq.
Provenance — who produced it, who reused it
Linked to 9 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.
- Integrative single-cell analysis of transcriptional and epigenet... 2017 · 1,088 cites
- Analytic Pearson residuals for normalization of single-cell RNA-... 2021 · 206 cites
- Decomposing Cell Identity for Transfer Learning across Cellular... 2019 · 186 cites
- Exploiting single-cell expression to characterize co-expression... 2016 · 94 cites
5 further papers cite this accession but reuse could not be confirmed.
Deep data QC
50/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The F grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0