BERT
High Performance Data Integration for Large-Scale Analyses of Incomplete Omic Profiles Using Batch-Effect Reduction Trees (BERT)
Bioconductor version: 3.23 · Package version: 1.8.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BERT") Details
| Maintainer | Yannis Schumann <yannis.schumann@desy.de> |
| Author | Yannis Schumann [aut, cre] (ORCID: <https://orcid.org/0000-0002-2379-200X>), Simon Schlumbohm [aut] (ORCID: <https://orcid.org/0000-0002-0083-5142>) |
| License | GPL-3 |
| URL | https://github.com/HSU-HPC/BERT/ |
| Bug Reports | https://github.com/HSU-HPC/BERT/issues |
| Downloads rank | 171 |
| Source branch | RELEASE_3_23 |
| biocViews | BatchEffect, ExperimentalDesign, Preprocessing, QualityControl, Software |
Documentation
Download
Dependencies
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