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MultiBaC

Bioc current

Multiomic Batch effect Correction

v1.22.0 · Package record · 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.

Advisories

None published for Bioconductor

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

40

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

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

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

In the Bioconductor 3.23 release
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
20includes a package overview page
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 6
NameClassSizeAlso in
A.gromatrix200 × 6No other package
A.rnamatrix200 × 6No other package
B.ribomatrix200 × 4No other package
B.rnamatrix200 × 4No other package
C.parmatrix200 × 4No other package
C.rnamatrix200 × 4No other package

All of MultiBaC's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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