The transcriptional landscape of mouse blood stem/progenitor cell transitions at single cell resolution
Current gene-expression databases for the haematopoietic system provide information on gene expression profiles present in bulk populations. Although informative, these studies lack the resolution that can be gained at a single-cell level. In particular, population-average data assumes homogeneity within the population and may as such obscure the ability to detect the heterogeneity of decision-making processes in individual cells. Here we report 1656 single cell transcriptomes analysed by single...
Provenance — who produced it, who reused it
Linked to 33 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.
- Integrating single-cell transcriptomic data across different con... 2018 · 14,641 cites
- Batch effects in single-cell RNA-sequencing data are corrected b... 2018 · 2,713 cites
- A benchmark of batch-effect correction methods for single-cell R... 2020 · 1,205 cites
- Efficient integration of heterogeneous single-cell transcriptome... 2019 · 997 cites
- Benchmarking algorithms for gene regulatory network inference fr... 2020 · 817 cites
- Detection and removal of barcode swapping in single-cell RNA-seq... 2018 · 370 cites
- Cell lineage and communication network inference via optimizatio... 2019 · 166 cites
- CaSTLe – Classification of single cells by transfer learning: Ha... 2018 · 132 cites
- Reconstruction of complex single-cell trajectories using CellRou... 2018 · 94 cites
23 further papers cite this accession but reuse could not be confirmed.
Deep data QC
32/100 · 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