recipe bioconductor-constand

Data normalization by matrix raking

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/CONSTANd.html

License:

file LICENSE

Recipe:

/bioconductor-constand/meta.yaml

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.

package bioconductor-constand

(downloads) docker_bioconductor-constand

Versions:

1.6.0-0,  1.2.0-0,  1.0.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-constand

and update with:

conda update bioconductor-constand

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-constand:<tag>

(see bioconductor-constand/tags for valid values for <tag>)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-constand/README.html)