Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors
Intratumoralmheterogeneity is a major obstacle to cancer treatment and a significant confounding factor in bulk-tumor profiling. We performed an unbiased analysis of transcriptional heterogeneity in colorectal tumors and their microenvironments using single-cell RNA–seq from 11 primary colorectal tumors and matched normal mucosa. To robustly cluster single-cell transcriptomes, we developed reference component analysis (RCA), an algorithm that substantially improves clustering accuracy. Using RCA...
Provenance — who produced it, who reused it
Linked to 31 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.
- scPred: accurate supervised method for cell-type classification... 2019 · 557 cites
- Spatiotemporal immune zonation of the human kidney 2019 · 455 cites
- A systematic evaluation of single-cell RNA-sequencing imputation... 2020 · 324 cites
- A practical solution to pseudoreplication bias in single-cell st... 2021 · 314 cites
- SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data 2020 · 178 cites
- scMatch: a single-cell gene expression profile annotation tool u... 2019 · 159 cites
- The Interaction Between lncRNA SNHG6 and hnRNPA1 Contributes to... 2020 · 154 cites
- Characterization of a p53/miR-34a/CSF1R/STAT3 Feedback Loop in C... 2020 · 107 cites
- TooManyCells identifies and visualizes relationships of single-c... 2020 · 98 cites
- Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA... 2019 · 86 cites
21 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently