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proBatch

Tools for Diagnostics and Corrections of Batch Effects in Proteomics

Bioconductor version: 3.23 · Package version: 2.0.0

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.

Installation

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

BiocManager::install("proBatch")

Details

MaintainerYuliya Burankova <yuliya.burankova@uni-hamburg.de>
AuthorJelena Cuklina [aut], Chloe H. Lee [aut], Patrick Pedrioli [aut], Olga Zolotareva [aut], Yuliya Burankova [cre]
LicenseGPL-3
URLhttps://github.com/Freddsle/proBatch
Bug Reportshttps://github.com/Freddsle/proBatch/issues
Downloads rank212
Source branchRELEASE_3_23
biocViewsBatchEffect, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.5.0)

Imports: Biobase, QFeatures, SummarizedExperiment, S4Vectors, corrplot, dplyr, data.table, ggfortify, ggplot2, gridExtra, grDevices, lazyeval, lubridate, limma, magrittr, matrixStats, methods, pheatmap, preprocessCore, purrr, pvca, RColorBrewer, reshape2, rlang, scales, stats, sva, tidyr, tibble, tools, utils, viridis, wesanderson, WGCNA

Suggests: BiocStyle, cowplot, ggplotify, knitr, rmarkdown, devtools, gtable, roxygen2, testthat (>= 3.0.0), spelling, HDF5Array