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SignacX

2.2.5

Cell Type Identification and Discovery from Single Cell Gene Expression Data

0packages depend
3.3Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Mathew ChamberlainFirst published 2021-03-016 releasesCRAN page ↗GitHub ↗

An implementation of neural networks trained with flow-sorted gene expression data to classify cellular phenotypes in single cell RNA-sequencing data. See Chamberlain M et al. (2021) doi:10.1101/2021.02.01.429207 for more details.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
11
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-04-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-09
    12 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,895 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
6%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
0%

Downloads

3.3K
CRAN downloads in the past year
Rank #12,559 · ~9/day · ~277/mo
Daily download trend is not available in this view yet.
21530 days
79590 days
3.3K1 year
Compare downloads with other packages →
Also on126 r2u26 c2d4u

Repository

Repository
28Stars
6Forks
10Open issues
0Open PRs
15Releases
147Commits
1Contributors
seuratcellular-phenotypessingle-cell-rna-seq
License GPL-3.0 · 147 commits · Last activity 2023-03-06 · +3.7% stars, 30d

Stars over time

2026-07-11 · 272026-07-28 · 28

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mathewchamberlain/signacx on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (5)
Funders (1)
Funder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 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
  • 2.2.5Latest
    2021-11-18 · current release · diff ↗
  • unarchivedReturned to CRAN
    2021-11-18
  • archivedRemoved from CRAN
    2021-11-17
    check problems were not corrected in time
  • 2.2.4
    2021-07-22 · diff ↗
  • 2.2.3
    2021-07-16 · diff ↗
  • 2.2.2
    2021-06-24 · diff ↗
  • 2.2.1
    2021-06-17 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.2.0
    2021-03-01
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-01
Total releases
6 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
13 KB / 1 file
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("SignacX")
Chamberlain, M., Sanofi US, Hanamsagar, R., Nestle, F., Savova, V., & de Rinaldis, E. (2021). SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data (Version 2.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.SignacX

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 SignacX version 2.2.5 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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