Bioconductor 3.22 Released

batchCorr

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

Within And Between Batch Correction Of LC-MS Metabolomics Data


Bioconductor version: Development (3.23)

From the perspective of metabolites as the continuation of the central dogma of biology, metabolomics provides the closest link to many phenotypes of interest. This makes metabolomics research promising in teasing apart the complexities of living systems. However, due to experimental reasons, the data includes non-biological variation which limits quality and reproducibility, especially if the data is obtained from several batches. The batchCorr package reduces unwanted variation by way of between-batch alignment, within-batch drift correction and between-batch normalization using batch-specific quality control samples and long-term reference QC samples. Please see the associated article for more thorough descriptions of algorithms.

Author: Anton Ribbenstedt [cre] ORCID iD ORCID: 0000-0002-9985-5644 , Carl Brunius [aut] ORCID iD ORCID: 0000-0003-3957-870X , Vilhelm Suksi [aut]

Maintainer: Anton Ribbenstedt <parasitetwin at gmail.com>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("batchCorr")

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

Documentation

Reference Manual PDF

Details

biocViews BatchEffect, BiomedicalInformatics, MassSpectrometry, Metabolomics, Normalization, QualityControl, Software
Version 1.1.0
In Bioconductor since BioC 3.22 (R-4.5) (< 6 months)
License GPL-2
Depends R (>= 4.4.0), SummarizedExperiment
Imports reshape, mclust, BiocParallel, methods
System Requirements
URL https://github.com/MetaboComp/batchCorr
Bug Reports https://github.com/MetaboComp/batchCorr/issues
See More
Suggests BiocStyle, knitr, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/batchCorr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/batchCorr
Package Short Url https://bioconductor.org/packages/batchCorr/
Package Downloads Report Download Stats