Skip to content

BERT

Bioc current

High Performance Data Integration for Large-Scale Analyses of Incomplete Omic Profiles Using Batch-Effect Reduction Trees (BERT)

v1.8.0 · Package record · software · GPL-3

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

Provides efficient batch-effect adjustment of data with missing values. BERT orders all batch effect correction to a tree of pairwise computations. BERT allows parallelization over sub-trees.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

21 5 exported

Complexity

7.8 avg / 24 max

Call network

21 nodes / 21 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

3,533

Files

41

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,568 (44.4%)Tests 865 (24.5%)Docs 764 (21.6%)Vignettes 336 (9.5%)

API

Exported functions

5

Internal functions

16

Recent export changes

v3.19+5 BERT, compute_asw, count_existing +2 more

Testing

Has tests

Yes

Test-to-code ratio

0.55

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

50%

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

5

First release

2024-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.19: 3,532 LOCv3.20: 3,532 LOCv3.21: 3,533 LOCv3.22: 3,533 LOCv3.23: 3,533 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
READMEYes · 380 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
21
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/hsu-hpc/bert on 2026-10-21.

Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Yannis Schumann

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("BERT")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1002/pmic.202400100.

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 BERT version 1.8.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy