recipe bioconductor-normalyzerde

Evaluation of normalization methods and calculation of differential expression analysis statistics

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-normalyzerde/meta.yaml

NormalyzerDE provides screening of normalization methods for LC-MS based expression data. It calculates a range of normalized matrices using both existing approaches and a novel time-segmented approach, calculates performance measures and generates an evaluation report. Furthermore, it provides an easy utility for Limma- or ANOVA- based differential expression analysis.

package bioconductor-normalyzerde

Versions:

1.16.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.0.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-preprocesscore >=1.60.0,<1.61.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• bioconductor-vsn >=3.66.0,<3.67.0

• r-ape

• r-base >=4.2,<4.3.0a0

• r-car

• r-ggforce

• r-ggplot2

• r-mass

• r-matrixstats

• r-raster

• r-rcmdrmisc

Required By:

Installation

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

conda install bioconductor-normalyzerde

and update with:

conda update bioconductor-normalyzerde

or use the docker container:

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

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

Download stats

Link to this page

Render an 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-normalyzerde/README.html)