R Observatory: Metrics for scRNAseqApp version 1.12.0

Balamuta, James Joseph

scRNAseqApp

Bioc current

A single-cell RNAseq Shiny app-package

v1.12.0 · software · GPL-3

View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

The scRNAseqApp is a Shiny app package designed for interactive visualization of single-cell data. It is an enhanced version derived from the ShinyCell, repackaged to accommodate multiple datasets. The app enables users to visualize data containing various types of information simultaneously, facilitating comprehensive analysis. Additionally, it includes a user management system to regulate database accessibility for different users.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

304 7 exported

Complexity

4.7 avg / 86 max

Call network

304 nodes / 761 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Call graph

Open call graph →

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

20,954

Files

107

Compiled share

0%

Has compiled src

No

Language breakdown

R 19,244 (91.8%)Tests 340 (1.6%)Docs 500 (2.4%)Vignettes 870 (4.2%)

API

Exported functions

7

Internal functions

281

Recent export changes

v3.22+1 availableThemes

v3.21+1 extractFragmentNameMapList

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

–

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

3

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-04-25

Latest release

2026-04-28

Avg cadence

186 days

Cold removal rate

–

Dep drift

11

LOC over versions

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

READMEYes · 439 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 84%
Return-value docs: 100%
References docs: 0%

Topics

Software › WorkflowStep › Visualization

Software › Technology › SingleCell

Software › Technology › Sequencing › RNASeq

People

Jianhong Ou author maintainer

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("scRNAseqApp")

Bioconductor packages have no CRAN DOI. The package landing page is https://bioconductor.org/packages/scRNAseqApp.

BibTeX, derived from DESCRIPTION

@Manual{scRNAseqApp,
  title  = {scRNAseqApp: A single-cell RNAseq Shiny app-package},
  author = {Ou, Jianhong},
  year   = {2026},
  note   = {R package version 1.12.0},
  url    = {https://bioconductor.org/packages/scRNAseqApp}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryscRNAseqApp,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {scRNAseqApp} version 1.12.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/bioc/scRNAseqApp},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scRNAseqApp version 1.12.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/bioc/scRNAseqApp

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for scRNAseqApp version 1.12.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/bioc/scRNAseqApp
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/bioc/scRNAseqApp.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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