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scMerge

Bioc current

scMerge: Merging multiple batches of scRNA-seq data

v1.28.0 · software · GPL-3

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

Like all gene expression data, single-cell data suffers from batch effects and other unwanted variations that makes accurate biological interpretations difficult. The scMerge method leverages factor analysis, stably expressed genes (SEGs) and (pseudo-) replicates to remove unwanted variations and merge multiple single-cell data. This package contains all the necessary functions in the scMerge pipeline, including the identification of SEGs, replication-identification methods, and merging of single-cell data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

49 11 exported

Complexity

5.9 avg / 24 max

Call network

49 nodes / 50 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

6,594

Files

67

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,442 (52.2%)Tests 1,013 (15.4%)Docs 932 (14.1%)Vignettes 1,207 (18.3%)

API

Exported functions

11

Internal functions

38

Recent export changes

v3.9+10 eigenMatMult, eigenResidop, fastRUVIII +7 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.29

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

15.8%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-05-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

23

LOC over versions

v3.9: 4,132 LOCv3.10: 4,521 LOCv3.11: 4,640 LOCv3.12: 4,484 LOCv3.13: 4,485 LOCv3.14: 4,485 LOCv3.15: 4,485 LOCv3.16: 4,485 LOCv3.17: 6,548 LOCv3.18: 6,548 LOCv3.19: 6,594 LOCv3.20: 6,594 LOCv3.21: 6,594 LOCv3.22: 6,594 LOCv3.23: 6,594 LOC

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

Documentation

Documentation
READMEYes · 206 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
91%
References docs
14%

Topics

Depended on by (3)

Bioconductor (3)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scMerge")
Lin, Y., Sydney Bioinformatics and Biometrics Group, & Wang, K. (2026). scMerge: scMerge: Merging multiple batches of scRNA-seq data (Version 1.28.0) [Computer software]. https://bioconductor.org/packages/scMerge

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 scMerge version 1.28.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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