normScore
This is the development version of normScore; to use it, please install the devel version of Bioconductor.
Evaluation and Ranking of Normalization Methods for Proteomics Data
Bioconductor version: 3.24 · Package version: 0.99.1
Provides tools to evaluate and rank normalization methods for omics datasets using a composite score derived from multiple performance metrics. The package is designed to support systematic benchmarking and comparison of normalization strategies across datasets and experimental settings. It also includes utilities for summarizing results and visualizing normalization performance.
Author: Julia García Currás [aut, cre] 
, Axencia Galega de Innovación (GAIN), Xunta de Galicia [fnd] (Industrial Doctorate Grant 2022-2026, Ref. 23_IN606D_2022_2707220)
Maintainer: Julia García Currás <julia.gcurras at udc.es>
Citation
From within R, enter citation("normScore"):
Julia García Currás. normScore: Evaluation and Ranking of Normalization Methods for Proteomics Data. doi:10.18129/B9.bioc.normScore, R package version 0.99.1, https://bioconductor.org/packages/normScore.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("normScore")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 0.99.1 |
| License | GPL-2 |
| URL | https://github.com/juliagcurras/normScore https://juliagcurras.github.io/normScore/ |
| Bug Reports | https://https://github.com/juliagcurras/normScore/issues |
| Last updated | 2026-08-25 |
| In Bioconductor since | BioC 3.24 (R-4.6) |
| Downloads rank | 2439 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | MultipleComparison, Normalization, Preprocessing, Proteomics, QualityControl, Software |
| Package Short Url | https://bioconductor.org/packages/normScore/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("normScore")| Getting started with normScore | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | normScore_0.99.1.tar.gz |
| Windows binary (x86_64) | normScore_0.99.1.zip |
| macOS binary (arm64) | normScore_0.99.1.tgz |
| macOS binary (x86_64) | normScore_0.99.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/normScore |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/normScore |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5)
Imports: stats, ggplot2, ggpubr, boot, MASS, rlang, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), limma, NormalyzerDE, SummarizedExperiment, S4Vectors, methods, BiocStyle, BiocManager