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scRNAstat

0.1.1.2

A Pipeline to Process Single Cell RNAseq Data

0packages depend
8.9Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Yonghe XiaFirst published 2021-09-223 releasesCRAN page ↗

A pipeline that can process single or multiple Single Cell RNAseq samples primarily specializes in Clustering and Dimensionality Reduction. Meanwhile we use common cell type marker genes for T cells, B cells, Myeloid cells, Epithelial cells, and stromal cells (Fiboblast, Endothelial cells, Pericyte, Smooth muscle cells) to visualize the Seurat clusters, to facilitate labeling them by biological names. Once users named each cluster, they can evaluate the quality of them again and find the de novo marker genes also.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 4.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
83%
Documentation · exports
10
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-05-20
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-04-23
    11 OK · 0 NOTE · 3 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-09
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
40%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

8.9K
CRAN downloads in the past year
Rank #4,500 · ~24/day · ~740/mo
Daily download trend is not available in this view yet.
43430 days
1.8K90 days
8.9K1 year
Compare downloads with other packages →
Also on178 r2u7 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Contributor, Maintainer
Authors (1)
Contributors (1)
Contributor, Maintainer
Copyright holders (1)
Copyright holder, Funder
Funders (1)
Copyright holder, Funder
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.1.1.2Latest
    2026-05-15 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1.1
    2025-03-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    2021-09-22
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-09-22
Total releases
3 / 5 yrs
License
AGPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
2.3 MB / 2 files
Download size
2.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scRNAstat")
Xia, Y., Biotrainee group, & Zeng, J. (2026). scRNAstat: A Pipeline to Process Single Cell RNAseq Data (Version 0.1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.scRNAstat

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scRNAstat version 0.1.1.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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