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BERT

This is the development version of BERT; for the stable release version, see BERT.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19

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


Bioconductor version: Development (3.24)

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.

Author: Yannis Schumann [aut, cre] ORCID iD ORCID: 0000-0002-2379-200X , Simon Schlumbohm [aut] ORCID iD ORCID: 0000-0002-0083-5142

Maintainer: Yannis Schumann <yannis.schumann at desy.de>

Citation (from within R, enter citation("BERT")):

Yannis Schumann, Simon Schlumbohm. BERT: High Performance Data Integration for Large-Scale Analyses of Incomplete Omic Profiles Using Batch-Effect Reduction Trees (BERT). doi:10.18129/B9.bioc.BERT, R package version 1.9.0, https://bioconductor.org/packages/BERT.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("BERT")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BERT")
BERT-Vignette HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BatchEffect, ExperimentalDesign, Preprocessing, QualityControl, Software
Version1.9.0
In Bioconductor sinceBioC 3.19 (R-4.4) (2.5 years)
License GPL-3
Depends R (>= 4.3.0)
Imports cluster, comprehenr, foreach (>= 1.5.2), invgamma, iterators (>= 1.0.14), janitor (>= 2.2.0), limma (>= 3.46.0), logging (>= 0.10-108), sva (>= 3.38.0), SummarizedExperiment, methods, BiocParallel
System Requirements
URLhttps://github.com/HSU-HPC/BERT/
Bug Reportshttps://github.com/HSU-HPC/BERT/issues
See More
Suggests testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle
Linking To
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BERT_1.9.0.tar.gz
Windows Binary (x86_64) BERT_1.9.0.zip
macOS Binary (big-sur-x86_64) BERT_1.9.0.tgz
macOS Binary (sonoma-arm64) BERT_1.9.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BERT
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BERT
Package Short Url https://bioconductor.org/packages/BERT/
Package Downloads ReportDownload Stats