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cff-version: 1.2.0
message: 'To cite package "CONSTANd" in publications use:'
type: software
title: 'CONSTANd: Data normalization by matrix raking'
version: 1.13.0
abstract: 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.
authors:
- family-names: Van Houtven
  given-names: Joris
  email: joris.vanhoutven@uhasselt.be
- family-names: Valkenborg
  given-names: Dirk
  email: dirk.valkenborg@uhasselt.be
repository: https://bioc.r-universe.dev
repository-code: https://github.com/PDiracDelta/CONSTANd
url: https://github.com/PDiracDelta/CONSTANd
date-released: '2020-10-30'
contact:
- family-names: Valkenborg
  given-names: Dirk
  email: dirk.valkenborg@uhasselt.be