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CONSTANd

Data normalization by matrix raking

Bioconductor version: 3.23 · Package version: 1.20.0

Normalizes a data matrix `data` by raking (using the RAS method by Bacharach, see references) the Nrows by Ncols matrix such that the row means and column means equal 1. The result is a normalized data matrix `K=RAS`, a product of row mulipliers `R` and column multipliers `S` with the original matrix `A`. Missing information needs to be presented as `NA` values and not as zero values, because CONSTANd is able to ignore missing values when calculating the mean. Using CONSTANd normalization allows for the direct comparison of values between samples within the same and even across different CONSTANd-normalized data matrices.

Installation

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

BiocManager::install("CONSTANd")

Details

MaintainerDirk Valkenborg <dirk.valkenborg@uhasselt.be>
AuthorJoris Van Houtven [aut, trl], Geert Jan Bex [trl], Dirk Valkenborg [aut, cre]
Licensefile LICENSE
URLqcquan.net/constand
Bug Reportshttps://github.com/PDiracDelta/CONSTANd/issues
Downloads rank221
Source branchRELEASE_3_23
biocViewsCheminformatics, DifferentialExpression, Genetics, MassSpectrometry, Normalization, Preprocessing, Proteomics, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.1)

Suggests: BiocStyle, knitr, rmarkdown, tidyr, ggplot2, gridExtra, magick, Cairo, limma