Package: BERT
Title: High Performance Data Integration for Large-Scale Analyses of Incomplete Omic Profiles Using Batch-Effect Reduction Trees (BERT)
Version: 1.7.0
Authors@R: 
    c(person("Yannis", "Schumann", ,"yannis.schumann@desy.de", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-2379-200X")),
           person("Simon", "Schlumbohm", , "schlumbohm@hsu-hh.de", role = c("aut"),
           comment = c(ORCID = "0000-0002-0083-5142")))
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. 
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
biocViews:
    BatchEffect,
    Preprocessing,
    ExperimentalDesign,
    QualityControl
URL: https://github.com/HSU-HPC/BERT/
BugReports: https://github.com/HSU-HPC/BERT/issues
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
Suggests: 
    testthat (>= 3.0.0),
    knitr,
    rmarkdown,
    BiocStyle
Config/testthat/edition: 3
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/BERT
git_branch: devel
git_last_commit: 2e49878
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
