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HarmonizR

Handles missing values and makes more data available

Bioconductor version: 3.23 · Package version: 1.10.0

An implementation, which takes input data and makes it available for proper batch effect removal by ComBat or Limma. The implementation appropriately handles missing values by dissecting the input matrix into smaller matrices with sufficient data to feed the ComBat or limma algorithm. The adjusted data is returned to the user as a rebuild matrix. The implementation is meant to make as much data available as possible with minimal data loss.

Installation

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

BiocManager::install("HarmonizR")

Details

MaintainerSimon Schlumbohm <schlumbohm@hsu-hh.de>
AuthorSimon Schlumbohm [aut, cre], Julia Neumann [aut], Philipp Neumann [aut]
LicenseGPL-3
Downloads rank318
Source branchRELEASE_3_23
biocViewsBatchEffect, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageHarmonizR_1.10.0.tar.gz
Windows binary (x86_64)HarmonizR_1.10.0.zip
macOS binary (arm64)HarmonizR_1.10.0.tgz
macOS binary (x86_64)HarmonizR_1.10.0.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: doParallel (>= 1.0.16), foreach (>= 1.5.1), janitor (>= 2.1.0), plyr (>= 1.8.6), sva (>= 3.36.0), seriation (>= 1.3.5), limma (>= 3.46.0), SummarizedExperiment

Suggests: knitr, rmarkdown, testthat (>= 3.0.0)