proBatch

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

Tools for Diagnostics and Corrections of Batch Effects in Proteomics

Bioconductor version: Release (3.17)

These tools facilitate batch effects analysis and correction in high-throughput experiments. It was developed primarily for mass-spectrometry proteomics (DIA/SWATH), but could also be applicable to most omic data with minor adaptations. The package contains functions for diagnostics (proteome/genome-wide and feature-level), correction (normalization and batch effects correction) and quality control. Non-linear fitting based approaches were also included to deal with complex, mass spectrometry-specific signal drifts.

Author: Jelena Cuklina <chuklina.jelena at gmail.com>, Chloe H. Lee <chloe.h.lee94 at gmail.com>, Patrick Pedrioli <pedrioli at gmail.com>

Maintainer: Chloe H. Lee <chloe.h.lee94 at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("proBatch")

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

Documentation


Reference Manual	PDF

Details

biocViews	BatchEffect, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version	1.15.1
In Bioconductor since	BioC 3.9 (R-3.6) (4.5 years)
License	GPL-3
Depends	R (>= 3.6)
Imports	Biobase, corrplot, dplyr, data.table, ggfortify, ggplot2, grDevices, lazyeval, lubridate, magrittr, pheatmap, preprocessCore, purrr, pvca, RColorBrewer, reshape2, rlang, scales, stats, sva, tidyr, tibble, tools, utils, viridis, wesanderson, WGCNA
Linking To
Suggests	knitr, rmarkdown, devtools, ggpubr, gtable, gridExtra, roxygen2, testthat (>= 2.1.0), spelling
System Requirements
Enhances
URL	https://github.com/symbioticMe/proBatch
Bug Reports	https://github.com/symbioticMe/proBatch/issues

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Build Report

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)	proBatch_1.15.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/proBatch
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/proBatch
Package Short Url	https://bioconductor.org/packages/proBatch/
Package Downloads Report	Download Stats