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MultiBaC

Bioc current

Multiomic Batch effect Correction

v1.22.0 · software · GPL-3

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

MultiBaC is a strategy to correct batch effects from multiomic datasets distributed across different labs or data acquisition events. MultiBaC is the first Batch effect correction algorithm that dealing with batch effect correction in multiomics datasets. MultiBaC is able to remove batch effects across different omics generated within separate batches provided that at least one common omic data type is included in all the batches considered.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

25 13 exported

Complexity

7 avg / 26 max

Call network

25 nodes / 35 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

3,707

Files

43

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,030 (54.8%)Docs 781 (21.1%)Vignettes 896 (24.2%)

API

Exported functions

12

Internal functions

12

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2020-10-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

3

LOC over versions

v3.12: 3,832 LOCv3.13: 3,832 LOCv3.14: 3,663 LOCv3.15: 3,707 LOCv3.16: 3,707 LOCv3.17: 3,707 LOCv3.18: 3,707 LOCv3.19: 3,707 LOCv3.20: 3,707 LOCv3.21: 3,707 LOCv3.22: 3,707 LOCv3.23: 3,707 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiBaC")
Ugidos, M., Nueda, M. J., & Tarazona, S. (2026). MultiBaC: Multiomic Batch effect Correction (Version 1.22.0) [Computer software]. https://bioconductor.org/packages/MultiBaC

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 MultiBaC version 1.22.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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